Health Values from Ecosystems

UK National Ecosystem Assessment: Technical Report   Heath Values: Ch 23

Chapter 23: Health Values from Ecosystems

Coordinating Lead Author: Jules Pretty
Lead Authors: Jo Barton, Ian Colbeck, Rachel Hine, Susana Mourato, George Mackerron and Carly
Wood

Key Findings
23.1 Ecosystems and Health
23.1.1 Overview
23.1.2 Health Benefits According to NEA Broad Habitat Types
23.2 Direct Positive Effects on Mental Health
23.2.1 Observing Ecosystems
23.2.2 Contact With Nearby Nature
23.2.3 Green Exercise and Activities
23.2.4 Green Care
23.2.5 Mappiness Research for Well‐being
23.3 Direct Positive Effects on Physical Health
23.3.1 Heart Rate and Blood Pressure
23.3.2 Encouraging Physical Activity
23.3.3 Vitamin D and Latitude
23.3.4 Recovery from Illness and Immunity
23.4 Indirect Positive Effects
23.4.1 Facilitating Nature‐based Activity
23.4.2 Facilitating Social Engagement
23.4.3 Providing Wild Foods
23.4.4 Providing a Catalyst for Behaviour and Lifestyle Change
23.4.5 Childhood Experience and Behaviour
23.4.6 Epidemiological Studies
23.5 Reducing the Incidence of Pollution and Disease Vectors
23.5.1 Air Purification by Reduction of Pollution
23.5.2 Interception of Noise and Water
23.5.3 Mitigation of the Heat‐Island Effect
23.6 Direct Threats to Human Health
23.7 Methods for Establishing Health Values
23.7.1 Questionnaire‐based Measures for Mental Health
23.7.2 Physiological and Questionnaire‐based Methods for Physical Health
23.7.3 Questionnaire‐based Methods for Establishing Connectedness to Nature
23.8 Conclusions
References
Appendix 23.1 Approach used to assign certainty terms to chapter Key Findings

1


Key Findings*

1
Observing nature and participating in physical activity in greenspaces well established
a
play an important role in positively influencing human health and virtually certain
well‐being1. ‘Green exercise’, comprising of activity in green places (in
the presence of nature), is associated with positive health outcomes,
which exceed those experienced from exercising in environments
lacking nature5.

2
Ecosystems provide three generic health benefits: i) direct positive established but incomplete
effects on both mental and physical health2; ii) indirect positive effects b
very likely
which facilitate nature‐based activity and social engagement (by
providing locations for contact with nature, physical activity and social
engagement), all of which positively influence health, and provide a
catalyst for behavioural change in terms of encouraging the adoption
of healthier lifestyles (improving life pathways, activity behaviour,
consumption of wild foods)2; iii) a reduction in the threats of pollution
and disease vectors to health via a variety of purification and control
functions, such as local climate regulation, noise reduction, and
scavenging of air pollutants6.

1
Ecosystems can be a direct provider of threats to human health1. well established
These threats include infectious agents (e.g. Lyme borreliosis,
Cryptosporidium, Plasmodium that cause malaria); physical threats
from wild animals (although this is not generally a factor in the UK),
domestic livestock and dogs; pollutants or contaminants from plants
(e.g. bracken spores, volatile organic compounds (VOCs), pollen);
elemental threats through extremes of temperature or UV radiation.

2
All eight UK NEA Broad Habitats contribute to all three positive and established but incomplete
the one negative class of health‐related ecosystem services2. evidence
c
However, there is limited evidence to indicate that habitats with more likely
biodiversity have a greater effect on health, even though they may
encourage greater use7. The UK NEA Broad Habitat that has received
the greatest empirical study in terms of its effects on health is Urban,
mainly because the presence of greenspace is clearly a contrast to the
majority of the built environment.

3
Local greenspaces or nearby natural habitats are vital for all competing explanations
individuals3. There is a clear link between the amount of accessible c
likely
greenspace and psychological well‐being. The more frequent the visits
to nearby green spaces, the lower the incidence of stress7.

2
Access to nature can encourage participation in physical activity established but incomplete
(green exercise) 2: individuals with easy access to nature are three evidence
times as likely to participate in physical activity and, therefore, are 40%
less likely to become overweight or obese.

Green exercise in all habitats results in significant improvements in
2


both self‐esteem and mood1; however, those habitats with open water 1
well established
b
produce a significantly larger degree of improvements in mental well‐ very likely
being6. The greatest effects for self‐esteem and mood occurred within
the first five minutes of activity. The improvement in both of these
measures appears to be larger in green settings compared to exercising
in areas lacking nature1. The greatest health outcomes are experienced
by those with mental health problems, suggesting that exercise in
ecosystems can be therapeutic for specific cohorts of people.

Nature‐dominated drives increase recovery from stress2. Commuters 2
established but incomplete
both recover quicker from stress and reduce the likelihood of evidence
experiencing future stresses after nature‐dominated drives, compared
to urban‐dominated drives.

2
There is a growing use of ‘green care’ in many contexts in the UK, established but incomplete
including therapeutic horticulture, animal‐assisted therapy, evidence
3
ecotherapy, green exercise therapies and wilderness therapy2. Green competing explanations
care produces health, social and educational benefits, but these have
not yet been widely evaluated3.

2
Mappiness research has shown that increased happiness levels are established but incomplete
associated both with vigorous outdoor pursuits, such as sports, evidence
running and exercise, and walking and hiking, and with less energetic
activities, such as gardening, birdwatching and nature‐watching2. On
average, respondents are happiest outdoors and least happy indoors,
and report intermediate happiness levels when in a vehicle. People are
happiest when they are neither at home nor at work, least happy at
work, and report intermediate happiness when at home.

2
Experiencing nature has been demonstrated to have a significant established but incomplete
positive impact upon heart rate and blood pressure2. Green settings evidence
c
have a relaxing effect on autonomic functions, thus decreasing heart likely
rate and blood pressure measurements. Green settings lead to a
greater increase in parasympathetic nervous system activity and a
greater decrease in sympathetic nervous activity than built
environments7.

2
Humans depend on exposure to the sun for the synthesis of adequate established but incomplete
amounts of vitamin D; a lack of vitamin D absorption, or vitamin D evidence
b
deficiency, is associated with a number of health problems2. Concerns very likely
over skin cancer, combined with a decrease in the opportunities for
people to access green places, is reducing exposure to sunlight and,
therefore, contributing to the development of chronic diseases6.
Sensible exposure to sunlight for approximately 5–10 minutes three
times per week helps to protect against the development of skin cancer
and is highly likely to be beneficial to physical health.

2
Green settings offer opportunities for the building of social capital, established but incomplete
which, in turn, benefits health2. The presence of trees and grass in evidence

3


b
urban areas also has a substantial effect upon social engagement and very likely
neighbourhood ties. Areas with trees and grass encourage individuals
to utilise outdoor space and increases the likelihood of social
interaction. Green places can also increase social engagement and
interaction through conservation activities and initiatives. By protecting
nature, individuals can obtain social contact and derive value from
being in the presence of nature6.

1
Ecosystems provide wild foods which can have a direct effect on well established
1
health . Today, wild foods act as a supplement to purchased foods, as
opposed to providing the sole means of nutrition, and interest in wild
foods is growing.

Ecosystems not only affect immediate health and well‐being, but also 2established but incomplete
affect health throughout life2. Healthy behaviours may be followed as evidence
3
a direct result of an individual’s surroundings, although there is no competing explanations
guarantee of uptake. If 1% of the sedentary population moves to a
healthy pathway, 1,063 lives and £1.44 billion will be saved each year.
The earlier this shift occurs during life, the greater the impact upon
3
health and society .

Contact with nature at any age can derive a whole number of benefits
for physical and mental health, contact with nature during youth can 2
established but incomplete
directly impact upon healthy adult behaviours2. Research indicates evidence
that the frequency of visits to green places during childhood
significantly correlates to the number of visits during adulthood. A lack
of experience of nature as a child may directly result in a lack of contact
during adulthood.

* Each Key Finding has been assigned a level of scientific certainty, based on a 4‐box model and
complimented, where possible, with a likelihood scale. Superscript numbers and letters indicate the
uncertainty term assigned to each finding. Full details of each term and how they were assigned is
presented in Appendix 23.1.

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23.1 Ecosystems and Health

23.1.1 Overview

The term ‘health’ is generally taken to incorporate physical health, mental or emotional health,
social health, spiritual health, lifestyle and functionality. The World Health Organization’s definition
of health is still the most widely cited and states that: “health is a state of complete physical, mental
and social (individual) wellbeing, and not merely the absence of disease or infirmity” (WHO 1948). A
universal definition of ‘well‐being’ is not available, as many sources interpret it differently. However,
well‐being is generally considered in a broader context, and Defra (2007) has collaborated with other
government departments and stakeholders to develop a shared understanding of the meaning of
well‐being within a policy context (Defra 2007; Box 23.1).

Insert Box 23.1 here

Ecosystems comprise a multifaceted set of relationships between the living organisms, resources
(including plants, animals, fish, birds and microorganisms, water sources, soil, rocks, minerals and
the local atmosphere) and habitats of an area, which function together as a unit. Ecosystem services
support our health and well‐being in a variety of ways. These include the provision of resources for
basic survival, such as clean air, water and genetic resources for medicines, along with the provision
of raw materials for industry and agriculture. However, ecosystem services also contribute to better
mental and physical well‐being by providing accessible urban and rural spaces for recreation and
interaction with nature. Both observing natural ecosystems and participating in physical activity in
greenspaces play an important role in positively influencing human health and well‐being (Table
23.1).
It is well‐known that regular physical activity improves both physical and mental health (CDC 1996;
Department of Health 2005a; Foresight 2007; Sandercock et al. 2010), and can improve the survival
of the elderly and their quality of life (Lim & Taylor 2005). There is also increasing evidence to show
that exposure to nature and greenspace positively affects health and well‐being (Maas et al. 2006;
Pretty et al. 2006; Van den Berg et al. 2007; Hansen‐Ketchum et al. 2009; Barton & Pretty 2010).
Thus ‘green exercise’ – physical activity undertaken in green places in the presence of nature – leads
to positive health outcomes (Table 23.1). Green exercise has been shown to be more effective than
comparable activities (which reflect the exercise component only) undertaken indoors (Thompson
Coon et al. 2011). Participating in physical activity in green settings is associated with decreased
feelings of tension, confusion, anger and depression, while exhibiting greater feelings of
revitalisation (Thompson Coon et al. 2011). Outdoor experiences are rated as more restorative (Hug
et al. 2009) and more effective in improving mood and vitality (Ryan et al. 2010). In comparison,
indoor activity is associated with increased frustration, anxiety, anger and sadness (Teas et al. 2007).
Research shows that health benefits arise in all urban and rural ecosystems tested, ranging from
deep wilderness to domestic gardens and allotments, and including open countryside, forests,
woodlands, national or country parks, nature or wildlife reserves, urban parks, grasslands, hills and
valleys.

Insert table 23.1 here

Existing research studies can be grouped into one of two prevailing categories. The first involves
experimental research which has predominantly focused on stress reduction and attention
restoration, often by inducing stress within the experimental setting. These types of studies often
administer pre‐ and post‐intervention measures to assess the immediate short‐term health benefits

5


of active or passive exposure to natural and urban ecosystems. They often take place within a
controlled setting to limit confounding variables and attempt to isolate the ecosystem as the key
variable influencing health measures. The second type comprises epidemiological research studies
which primarily report correlations between ecosystem use and health benefits. However, the
difficulty with this type of analysis is that it is very challenging to establish causality and often
relationships can only be described, not explained. Although these associations regularly emerge
from such experiments, determining causality is not straightforward and further research is required
to establish any direct cause‐effect relationships. Demonstrating a link between ecosystems and
health is not to the same as proving that exposure to ecosystems produces positive health
outcomes. Yet evidence of causality would provide a powerful argument for a change in existing
policies. Although interpretation of the causal structure of these relationships is challenging due to
the complexity of the system, it remains an important finding in its own right.

Ecosystems provide three generic health benefits (Figure 23.1):
i) Direct positive effects
a. Mental health (Kaplan 2001; Pretty et al. 2005; Pretty et al. 2007).
b. Physical health (Laumann et al. 2003; Kampman et al. 2007; Pretty et al. 2007)

ii) Indirect positive effects
a. Facilitating nature‐based activity and social engagement (by providing locations for
contact with nature, physical activity and social engagement), all of which positively
influence health (Coley et al. 1997; Kuo et al. 1998; Ward Thompson 2002).
b. Providing a catalyst for behavioural change in terms of encouraging the adoption of
healthier lifestyles (improving life pathways, activity behaviour and the consumption
of wild foods) (Wells & Lekies 2006; Pretty et al. 2009).

iii) Reducing the threats and incidence of pollution and disease vectors via a variety of
purification and control functions such as local climate regulation, noise reduction and
scavenging of air pollutants (Morecroft et al. 1998; Pitcairn et al. 1998; Bignal et al. 2004).

However, ecosystems can also be a direct source of threats to human health including: infectious
agents (e.g. Lyme borreliosis, Cryptosporidium species, Plasmodium species that cause malaria);
physical threats from animals, pollutants or contaminants from plants (e.g. bracken spores, volatile
organic compounds (VOCs), pollen); and elemental threats through extremes of temperature or UV
radiation (Frumkin et al. 2004).

Insert figure 23.1 here

Health outcomes depend on the types of ecosystems and the services they provide, as well as the
choices people have and decisions they make. If individuals do not engage with the natural world,
either by observation or undertaking physical activity in green settings (including urban greenspace),
then they will not derive the specific mental or physical health benefits nature can provide. Such
choices are affected by location of dwelling, proximity of, and access to, nature, and individual
choices and environmental behaviours (DH & DCSF 2009).

Access to nature often varies according to cohort demographics. For example, wealthier individuals
are able to access certain places more readily because they own a car; it is common for the most
biodiverse ecosystems are not served by public transport, which excludes the poorest individuals
and other minority groups. Thus, access is dependent on the socioeconomic characteristics of the

6


potential beneficiaries and not solely on the ecosystem qualities. Yet having access to nearby
greenspace can eradicate the health inequality levels in areas of deprivation (Mitchell & Popham
2008). This highlights the importance of providing health‐promoting, accessible greenspaces to
reduce socioeconomic health inequalities.

Behaviours can also influence correlative relationships identified between ecosystem exposure and
health outcomes, which contributes to the challenge of interpreting the causal structure.

In effect, health outcomes of ecosystems are not independent of people’s demographics, choices
and behaviours. Health benefits are, therefore, a function of the ecosystem type, ease of access to
nature and frequency of use of green places.

23.1.2 Health Benefits According to UK NEA Broad Habitats

All eight UK NEA Broad Habitats contribute to all three positive and the one negative class of health‐
related ecosystem services. However, there is limited empirical evidence to indicate that habitats
with more biodiversity have a greater effect on health (Fuller et al. 2007). One UK study has shown
positive associations between urban greenspace species richness and improved well‐being (Fuller et
al. 2007), although the authors acknowledge the challenge of deciphering causality. There is also
empirical evidence to indicate that, after rehabilitation, Urban greenspace attracts more users,
providing a greater health service (Barton et al. 2009; Barton & Pretty 2010). In a similar way, it
could be hypothesised that habitats with greater biodiversity or particular rare or distinctive species
(e.g. nature reserves, Sites of Special Scientific Interest (SSSIs)) may attract more visitors and,
therefore, deliver a greater aggregate health benefit; this hypothesis would fit with the findings of
Fuller et al. (2007).

The UK NEA Broad Habitats provide potential places for people to engage in physical activity (green
exercise) and social interaction. If these habitats are used, they would have positive direct effects on
health, and reduce threats from disease vectors, pollutants and noise; but they could potentially
provide a variety of direct threats to health (Table 23.2). The provision of positive health benefits is
dependent not only on the intrinsic biological characteristics of the ecosystems, but also on location.
An ecosystem which is close to a densely populated area will provide many more health benefits
than a physically identical ecosystem in a remote area, because it is accessible to more individuals.
Therefore, the aggregate health benefit is not solely reliant on type of habitat, but ease of access.

The UK NEA Broad Habitat that has received the greatest empirical study in terms of its effects on
health is Urban, mainly because the presence of nature and greenspace is clearly a contrast to most
of the built environment. In addition, the majority of people reside in urban areas and are,
therefore, more able to access Urban habitats. Some 3.5% of England is urbanised (428,000
hectares), and these environments contain 52,000 hectares of greenspace in the form of parks,
allotments, city and community farms, cemeteries, golf courses, nature reserves, street trees and
green roofs (not counting private gardens) (CABE 2010).


23.2 Direct Positive Effects on Mental Health

23.2.1 Observing Ecosystems

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The importance of observing nature is becoming increasingly recognised. Viewing nature through a
window can help to increase recovery from mental fatigue and improve mental well‐being (Kaplan
1992; Maller et al. 2006). Natural views in hospitals help to increase recovery from illness (Diette et
al. 2003), while access to nature in the workplace is associated with lower levels of perceived stress
and greater job satisfaction (Kaplan & Kaplan 1989; Maller et al. 2006; Hine et al. 2007).
Furthermore, research suggests that prison inmates whose cell has a view of nature have a lower
frequency of stress and psychological symptoms when compared to those inmates who lack such a
view (Moore 1982). The view from the home is also known to be important (Kaplan 2001; Taylor et
al. 2002). For children, green views have a positive effect on cognitive thinking and concentration,
while also aiding self‐discipline (Taylor et al. 2002).

The positive effect of viewing nature even occurs if the view is not of living nature; pictures of nature
can also elicit improvements in mental well‐being (Hine et al. 2007). Several studies have compared
the effects on mental well‐being of viewing photographic scenes of both nature and built
environments. The results suggested that the natural scenes, especially those depicting water, had a
more positive effect on measures of emotional well‐being such as sadness and happiness, than
viewing built environments (Ulrich 1981). Indeed, viewing built environments led to a decline in
attention and interest. In 2005, Pretty et al. (2005) examined the mental health benefits of viewing
urban and rural scenes while performing physical activity. Participants took part in five exercise
conditions: exercise only; exercise while viewing unpleasant urban scenes (cityscapes lacking
greenspaces); exercise while viewing pleasant urban scenes (buildings with surrounding nature);
exercise while viewing pleasant rural scenes; and exercise while viewing unpleasant rural scenes
(landscapes spoilt with rubbish, abandoned cars, or pipes carrying effluents). The results indicated
that all exercise conditions led to a significant improvement in self‐esteem; however, the unpleasant
conditions reduced the positive effects of the physical activity, while the pleasant conditions led to
the greatest improvements. The improvement for both urban and rural scenes was comparable,
highlighting the importance of urban nature. Mood was also significantly affected by viewing the
different scenes. Both the urban and rural pleasant conditions led to significant reductions in fatigue
and tension, and a significant increase in vigour. Pleasant urban scenes also led to a significant
decrease in depression. Both urban and rural conditions can improve mental well‐being; however,
those scenes that depict threats to the natural environment lead to a reduction in self‐esteem and
mood (Pretty et al. 2005).

Parsons et al (1998) reported similar results when reviewing the literature on commuter stress in car
drivers and the effect of the surrounding environment (Maller et al. 2006). The evidence indicated
that commuters who participated in nature‐dominated drives experienced quicker recovery from
stress, and a reduction in the likelihood of experiencing subsequent stress, than those who took part
in an urban‐dominated drive (Parsons et al. 1998).

23.2.2 Contact With Nearby Nature

Local greenspace and accessible nature are vital for all individuals, whether it is an urban park or an
area of rural wilderness (Hine et al. 2007). Being in the presence of ‘nearby nature’ (whether or not
it is incidental to some other activity, such as walking to work or sitting on a bench) plays an
important role in human well‐being (Pretty et al. 2005; Hine et al. 2007). Research suggests that
there is a link between the amount of accessible greenspace and psychological well‐being (Takano et
al. 2002; De Vries et al. 2003), as contact with nature can help individuals to recover from stress,
protect them from further stress and improve concentration  (Maller et al. 2002; Hine et al. 2007).

8


Furthermore, the more frequent the visits to nearby natural spaces, the lower the incidence of stress
(Grahn & Stigsdotter 2003).

Nearby nature is also important for the mental well‐being of children (Kaplan & Kaplan 1989;
Thomas & Thompson 2004; Ward Thompson et al. 2008). Evidence suggests that the well‐being of
children is closely linked to their ability to access natural settings close to their homes (Thomas &
Thompson 2004). Wells (2000) conducted a longitudinal study with children of low‐income urban
families and assessed the effects of nature on their cognitive functioning. When the families were
relocated to houses with more nearby nature they had higher levels of cognitive functioning and
their ability to direct attention continued for several months after moving. However, these findings
should be treated with caution because it could be argued that these types of families were able to
select these types of preferred homes. Therefore, cause and effect can be difficult to disentangle
and decipher (Wells 2000).

In addition, Wells and Evans (2003) found that children with easy access to nature were more able to
cope with stressful life events and were generally less stressed individuals than those in urban
habitats lacking greenspace (Wells & Evans 2003). However, the issue of cause and effect is still
indeterminate as it remains unclear whether having contact with nature aids the development of
stress‐coping mechanisms which are used in later life; whether nearby nature provides the
opportunity for stress recovery and replenishes attentional fatigue; whether greenspace provides
the opportunity to play with other children (social contact); or whether it is a combination of many
factors. However, access to nature during youth is of great importance, particularly as childhood
experiences of nature predict contact during adulthood (Ward Thompson et al. 2008).

In health care settings, gardens are of particular importance to mental well‐being (Ulrich 2002).
Gardens in hospitals have a number of positive effects on individuals by helping them to feel more
relaxed and able to cope, reducing stress, and improving mood (Cooper‐Marcus & Barnes 1995;
Whitehouse et al. 2001). Even short visits of five minutes in duration to these gardens have been
demonstrated to have a positive effect on the mental well‐being of patients (Cooper‐Marcus &
Barnes 1995; Whitehouse et al. 2001).

23.2.3 Green Exercise

Natural ecosystems can provide an environmental setting for green exercise (Pretty et al. 2005;
Bowler et al. 2010). Both physical activity and exposure to nature have separately been
demonstrated to provide benefits for mental well‐being, thus, by combining the two, green exercise
has synergistic health benefits (Pretty et al. 2003; Pretty et al. 2005; Pretty et al. 2007; Hine et al.
2007; Peacock et al. 2007). For instance, walking in greenspaces is more effective at enhancing self‐
esteem and mood than walking indoors, suggesting a greater amalgamated health benefit than
either component provides alone (Mind 2007; Peacock et al. 2007).

Pretty et al. (2007) examined the psychological health benefits of participating in ten different green
exercise activities (including walking, fishing, horse riding, cycling and conservation activities) in four
different regions in the UK. The results of the study found that green exercise led to significant
improvements in self‐esteem and mood, especially in the mood subscales of anger, confusion,
depression and tension (Pretty et al. 2007). Furthermore, improvements in self‐esteem and mood
were not affected by the type, intensity or duration of the exercise, or by the different regions
themselves (Pretty et al. 2007).

9


Barton et al. (2009) examined the mental well‐being effects of walking in four UK national heritage
sites (Dunwich Heath, Suffolk; Flatford Mill, Suffolk; Hatfield Forest, Essex; Wicken Fen,
Cambridgeshire). In line with the results produced by Pretty et al. (2007), both self‐esteem and total
mood disturbance were significantly enhanced as a result of participating in the green exercise
(Barton et al. 2009). Furthermore, feelings of anger, confusion, depression, fatigue and tension were
reduced as a result of the green exercise, while feelings of vigour were increased (Barton et al.
2009). However, in contrast to the results of Pretty et al. (2007), the study suggested that there was
a relationship between the duration of the green exercise and the degree of improvements in
mental well‐being: participants walking for the longest period of time displayed the greatest
improvements in mood (Barton et al. 2009).

Barton and Pretty (2010) undertook a meta‐analysis on the mental health outcomes of many
different types of green exercise in different habitats, for varying lengths of time, and by different
age cohorts and gender. Habitats included woodland, forests, watersides, urban green areas,
farmland and natural habitats, and the activities included walking, horse riding, sailing and gardening
(Barton & Pretty 2010). Green exercise in all habitats resulted in significant improvements in both
self‐esteem and mood; however, those habitats with open water produced a significantly larger
degree of improvement in mental well‐being. Furthermore, self‐esteem and mood was most
improved during the first five minutes of activity, but this effect gradually deteriorated if the exercise
lasted between 10 minutes and half a day (Barton & Pretty 2010). Nevertheless, the effectiveness of
the green exercise in improving mental well‐being increased again if the activity lasted for a whole
day. The results are in contrast to those produced by Pretty et al. (2007), implying a need for further
research in this area.

The meta‐analysis also revealed that the effectiveness of the green exercise was influenced by its
intensity (Barton & Pretty 2010). For self‐esteem, light intensity exercise produced the greatest
improvements, with the effects deteriorating as the intensity of exercise increased; a similar
response was noted for mood. However, the lowest effect on either measure was seen during
moderate exercise; the effects increasing once again for vigorous exercise.

With regards to the different age cohorts of participants, the meta‐analysis revealed that the fewest
health outcomes occurred for the elderly, while the greatest health outcomes were experienced by
those with mental health problems, suggesting that exercise in ecosystems can be therapeutic for
specific cohorts of people (Barton & Pretty 2010).

Essentially, the evidence implies that there is a synergistic health benefit from exercising in areas
containing nature (including urban greenspace) compared to exercising in urban areas lacking nature
or indoor environments. All types of habitat are beneficial, from experiences in deep wilderness to
gardening in local allotments. The optimal dose of green exercise may be dependent on many
variables, but it is clear that both urban and countryside habitats can provide the ideal setting to
facilitate activity and afford greater health benefits.

23.2.4 Green Care

‘Green care’ is an inclusive term for many complex and diverse nature‐based interventions that use
nature and the natural environment as a framework in which to create health and well‐being
benefits for vulnerable groups of people (Sempik et al. 2010). Green care has emerged from the idea
that contact with nature could be effective in therapeutic applications (Figure 23.2) (Pretty 2006;
Peacock et al. 2007; Hine et al. 2008a). In the UK, there is a growing movement towards green care

10


in many contexts ranging from social and therapeutic horticulture, animal‐assisted interventions,
ecotherapy, green exercise therapies as a treatment option, and care farming (Sempik et al. 2003;
Sempik 2007; Hine et al. 2008a). Green care is different to green exercise in that it is used as a
therapy or intervention for specific groups, such as psychiatric patients, people with learning
disabilities, disaffected youth and several other at‐risk populations, while green exercise is more of a
therapeutic experience (Pretty 2006; Hine et al. 2008a). The aim of green care is to produce health,
social and educational benefits (Hine et al. 2008a).

Insert figure 23.2 here

There are six key types of green care options:
i) Social and therapeutic horticulture is defined as “participation by a range of vulnerable
people in groups and communities whose activities are centred around horticulture and
gardening. It is distinct from domestic gardening because it operates in an organised and
formalised environment” (Sempik et al. 2003; Samson & Pretty 2005). Social and therapeutic
horticulture has been demonstrated to promote psychological well‐being and has also been
utilised in the treatment of disease.

ii) Animal‐assisted interventions involve the use of animals in the rehabilitation and social care
of humans (Kruger & Serpell 2006; Bokker 2006). Companion animals can also play a
therapeutic role for people with psychiatric disorders, physically ill people, those with
emotional disorders, the elderly and children (Fine 2006). Like human relationships, animal‐
human relationships can help to buffer against stress responses and illness (McNicholas &
Collis 2006).
iii) Care farming is defined as the therapeutic use of agricultural landscapes and farming
practices (Hassink 2003; NCFI 2011) and its use is increasing both within the UK and Europe
(Hine et al. 2008a). On care farms, components of either the whole or part of the farm
environment are utilised to provide health, social or educational care services through a
supervised, structured programme of farming‐related activities. Results from studies into
the mental health benefits of these care farms within the UK have found that their use can
result in significant improvements in both self‐esteem and mood, with significant alterations
in all mood factors (Pretty 2006; Peacock et al. 2007; Hine et al. 2008a).

iv) Green exercise therapy is defined as facilitated green exercise activities. Evidence suggests
that these activities may have therapeutic applications  (Pretty et al 2007; Peacock et al.
2007); for example,  they may provide an effective treatment for mild to moderate
depression through reconnection with nature and the positive mental health benefits that
come hand in hand with this (Samson & Pretty 2005; Pretty et al. 2007). Currently,
approximately 21% of general practitioners use exercise as a therapy in the treatment of
mental disorders (Mental Health Foundation 2009). Green exercise therapy may be even
more effective than exercise alone and  could, therefore, be utilised as an alternative or
complimentary treatment therapy to antidepressants (Samson & Pretty 2005).

v) Ecotherapy encompasses all nature‐based methods aimed at the re‐establishment of human
and ecosystem reciprocal well‐being (Sempik et al. 2010). Contact with natural ecosystems
enhances physical, psychological and social health for people, communities and ecosystems.
Ecotherapy encourages reconnection with nature and therefore facilitates behavioural and
social changes which can directly influence mental health and well‐being (Burls 2008).

11


vi) Wilderness therapy is described as an “experiential programme (e.g. Outward Bound) that
takes place in wilderness or a remote outdoor setting” (Conner 2007). It has been widely
used in the USA for many years, but is a relatively new concept in the UK and is most
commonly used for adolescents with behavioural problems (Pretty et al. 2009) and adults
with mental health issues (Hine et al. 2011). Programmes provide healthy exercise and diets,
group and individual therapy sessions, and separate participants from daily negative
influences, placing them in a safe outdoor environment. Evidence regarding the benefits of
wilderness therapy has indicated that it can facilitate behaviour change, address problem
behaviours, improve mental well‐being and self‐esteem, reduce Body Mass Index (BMI) and
provide opportunities for emotional growth (Moote & Wadarski 1997; Hans 2000; Russell &
Phillips‐Miller 2002; Samson & Pretty 2005; Russell 2006; Conner 2007; Hine et al. 2009;
Bharucha & Pretty 2010; Godfray et al. 2010; Hine et al. 2011).

23.2.5 Mappiness Research for Well‐being

Subjective well‐being is related to happiness and has become increasingly important to economists
(Layard 2005; Dolan et al. 2008; Frey 2008; Mourato & MacKerron 2010). The established influences
on happiness include income (positively correlated with subjective well‐being); the incomes of
others, rivalry (negative) and/or ambition (positive); an individual’s own lagged income; and reduced
responses due to habituation (negative). Further factors include unemployment; separation, divorce
and widowhood; and poor health (all negatively correlated). Social capital indicators and relational
goods are important, such as membership of interest groups or friendly relations with neighbours;
trust; and belief in a god (all positively correlated). Important environmental quality parameters
include climate, noise, air quality, and access to greenspaces. Mourato and Mackinnon (2010)
investigated well‐being in the UK by using a satellite geo‐located, large‐scale, smartphone‐based
Experience Sampling Method study (Mappiness) to explore links between instantaneous mood
states and the immediate environment.

On average, respondents were happiest outdoors and least happy indoors, and reported
intermediate happiness levels when in a vehicle. Increased happiness levels were associated both
with vigorous outdoor pursuits, such as ‘sports, running and exercise’ and ‘walking and hiking’, and
with less energetic activities such as ‘gardening’ and ‘birdwatching and nature watching’. High
energy pursuits, such as sports, running and exercise, were associated with a 6% increase in
happiness, and more contemplative activities, such as nature watching, were linked with a 3%
increase in happiness. Respondents were happiest when neither at home nor at work, least happy at
work, and reported intermediate happiness when at home. When outdoors, higher happiness levels
were associated with higher temperatures, while rain and wind are linked to lower happiness.
Importantly, there was a clear link between being outdoors in particular habitat types and happiness
levels. Almost all habitat types (with the exception of inland bare ground) were linked with higher
happiness levels than urban habitats. Marine and Coastal Margins, Mountains, Moorlands and
Heaths, and Coniferous Woodlands were associated with the highest increases in happiness. The key
findings from Mappiness are summarised in Table 23.3.

Insert Table 23.3 here

23.3 Direct Positive Effects on Physical Health

23.3.1 Heart Rate and Blood Pressure

12


Experiencing nature has been demonstrated to have a significant impact upon heart rate and blood
pressure. Laumann et al. (2003) demonstrated that viewing nature led to a significant reduction in
heart rate from the baseline level. However, viewing urban landscapes did not significantly reduce
the participants’ heart rate. Blood pressure is also reduced as a result of viewing nature (Pretty et al.
2005). Pretty et al. (2005) showed that mean arterial blood pressure (MABP) significantly reduced
five minutes after exercising at a moderate intensity. However, when engaging in the same intensity
of exercise while viewing pleasant rural scenes, a greater reduction in MABP was recorded (Pretty et
al. 2005). Viewing unpleasant rural scenes also led to reductions in MABP; but viewing urban scenes,
both unpleasant and pleasant, did not reduce blood pressure and, in fact, increased the
measurements relative to the exercise‐only control. Thus, viewing nature can have a relaxing effect
on autonomic functions (the unconscious regulation of internal bodily activity), decreasing heart rate
and blood pressure measurements (Laumann et al. 2003; Pretty et al. 2005). Spending time in green
settings leads to a greater increase in parasympathetic nervous system activity (the slowing of
autonomic functions at rest) and greater decrease in sympathetic nervous activity (accelerated
functions associated with the fight‐or‐flight response) than spending time in urban settings (Li et al.
2007).

23.3.2 Encouraging Physical Activity

Nature can encourage participation in physical activity: individuals with easy access to nature are
three times more likely to participate in physical activity than those with poorer access and,
therefore, 40% less likely to become overweight or obese (Wells et al. 2007; Bowler et al. 2010). The
issue of cause and effect is difficult to identify as individuals may choose to live near habitats which
facilitate activity if they enjoy exercising in greenspaces. Therefore, this cohort may engage in more
activities simply because they chose to reside close to that type of habitat, rather than adopting new
active behaviours because greenspace became accessible. However, by encouraging physical activity
through participation in green exercise, such habitats can provide a whole number of physical health
outcomes.

Physical activity can reduce the risk of developing Cardiovascular Disease and the associated risk
factors, such as hypertension, high blood lipids and elevated blood pressure, and can also reduce the
likelihood of developing Type 2 Diabetes (Blair & Connelly 1996; Biddle et al. 2004; Department of
Health 2004). Furthermore, individuals who regularly partake in green exercise are less likely to
become overweight or obese, and may also have better bone health and a reduced risk of
developing Osteoporosis (Biddle et al. 2004; Department of Health 2005b). Thus, the natural
environment supports physical health through the provision of opportunities for exercise (Wells et
al. 2007).

Urban habitats are less encouraging of physical activity than other habitat types and often restrict
access to nature (Wells et al. 2007). Urban design and planning sometimes reduces opportunities for
individuals to participate in physical activity, contributing to large increases in physical inactivity and
the prevalence of overweight and obese individuals (Wells et al. 2007). Nonetheless, urban parks
promote healthy living for residents of Urban habitats by encouraging participation in green exercise
activities such as walking and cycling (Ross 2000; Berrigan & Troiano 2002; Craig et al. 2002; Handy
et al. 2002; Parks et al. 2003). In the UK, urban parks attract 2.5 billion day visits per year (DLTR
2002), so as urban sprawl continues, the importance of access to nearby nature is paramount. Urban
life exposes people to many stressors, such as traffic noise, crowding and fear of crime (Van den
Berg et al. 2007), and often access to nature and greenspace is limited or of poor quality. The type of
nature close to where people live and work, in the form of parks, gardens, tree‐lined streets,

13


communal squares and allotments, is strategically important for the quality of life of urban dwellers
and for the sustainability of towns and cities (Chiesura 2004). Hence, individuals need easy access to
nature and greenspace, as these encourage physical activity and result in a number of benefits for
physical health.

23.3.3 Vitamin D and Latitude

Humans depend on exposure to the sun for the synthesis of adequate amounts of vitamin D. Some
90% of the human requirement for vitamin D comes from the sun (Hollick 2005; Kampman et al.
2007). Ultraviolet B (UVB) radiation is absorbed by dehydrocholestrol in the skin, which is
transformed and further converted to vitamin D3. This is then metabolised by the liver to its active
form (Hollick 2005). Outdoor contact with nature allows humans to absorb the vitamin D required in
the human body. However, a lack of vitamin D absorption, or vitamin D deficiency, is associated with
a number of health problems.

Vitamin D deficiency can lead to poor bone health, increasing the likelihood of the development of
diseases such as Osteoporosis and Osteomalacia. Vitamin D deficiency has also been associated with
the development of Rickets in children. Furthermore, a lack of vitamin D can lead to cancer cell
growth, an increased risk of heart failure and Cardiovascular Disease, Arthritis and Type 1 Diabetes
(Hollick 2005; Kampman et al. 2007). In a study following children from age 1 into adulthood, those
individuals who received adequate vitamin D decreased their risk of developing diabetes by 80%
(Hollick 2005; Kampman et al. 2007).

Latitude can also have an impact upon physical health. Areas at high latitudes have been associated
with a reduced risk of developing Multiple Sclerosis and also a reduced risk of developing cancer
(Hollick 2004; Kampman et al. 2007). However, Norway appears to be an exception to this finding.
This is likely to be the result of increased summer outdoor activities in childhood, which have been
demonstrated to protect against Multiple Sclerosis (Hollick 2004). Contact with nature and sunlight
are essential to physical health. However, concerns over skin cancer, combined with the reduction in
the opportunity to access nature, are reducing exposure to sunlight and contributing to the
development of chronic diseases (Hollick 2004)(Hollick, 2004). Sensible exposure to sunlight for
approximately 5–10 minutes three times per week helps to protect against the development of skin
cancer and is highly likely to be beneficial to physical health (Hollick 2004).

23.3.4 Recovery from Illness and Immunity

Access to nature can also aid recovery from illness (Kaplan 2001; Maller et al. 2006). A study
revealed that hospital patients with a view of nature from their hospital room recovered from
surgery and illness faster than those who had a view of a built environment (Maller et al. 2006). They
spent less time in hospital and nursing staff also reported fewer negative comments in their medical
records. Furthermore, those patients with a view of nature required fewer painkillers for their illness
and had less post‐operative complications. A similar pattern was noted in prison environments:
those inmates with a natural view from their cell reported a lower frequency of stress symptoms,
including digestive illness and headaches, and had an overall reduced number of sick calls (Moore
1982; West 1985). Access to nature can also help to reduce the requirements of the health care
services (Kaplan 2001; Maller et al. 2006).

There is evidence to suggest that some habitats may help to enhance immunity to disease (Li et al.
2007; Park et al. 2010). Spending time in a forest environment has been demonstrated to increase

14


natural killer T cell activity, a vital component in the rejection of tumours and cells infected by
viruses. Contact with forest environments also increase levels of perforin, a substance found in the
presence of natural killer T cells, and granulysin which destroys infected body cells (Park et al. 2010).
Additionally, studies have noted an increase in the induction of intracellular anti‐cancer proteins in
subjects that spend time in forest environments (Park et al. 2010).

23.4 Indirect Positive Effects

23.4.1 Facilitating Nature‐based Activity

Access to nature, via any of the three levels of engagement (view from the window;  functional
engagement; active participation), can help to facilitate nature‐based activity. If nature is within
close proximity, there are health benefits from  simply viewing it through a window (Ulrich 1984;
Pretty et al. 2005), being in its presence (De Vries et al. 2003), or actively taking part in green
activities and wilderness trails (Davis‐Berman & Berman 1989; Hartig et al. 2003; Pretty et al. 2007).
Research suggests that individuals who are readily able to access greenspaces, whether they are vast
areas of wilderness or urban parks, are three times more likely to participate in physical activity than
those that cannot access it so easily (Wells et al. 2007; Bowler et al. 2010). Furthermore, the nature‐
based activities associated with the two latter levels of engagement can, in turn, lead to a number of
health benefits. Activities such as walking, gardening, fishing, hunting and horse riding not only
provide those health benefits associated with contact with nature, but also provide benefits through
participation in physical activity (Samson & Pretty 2005; Pretty et al. 2007; Barton & Pretty 2010).

23.4.2 Facilitating Social Engagement

High levels of social capital can have a direct effect on markers of individual and community well‐
being (Kawachi et al. 1997; Pretty & Ward 2001; Wood & Giles‐Corti 2008). Social capital captures
the idea that social interaction and social norms are an important part of the basis for sustainable
livelihoods and communities (Pretty & Ward 2001). Levels of social interaction can be directly
influenced by the availability of greenspace (Coley et al. 1997; Ward Thompson 2002). Modern
Urban habitats lacking greenspace tend to restrict social contact as individuals are not attracted to
their surrounding environments so tend to stay indoors, away from others (Coley et al. 1997).
However, urban greenspace, in the form of parks, streets and allotments, can facilitate social contact
and give rise to stronger neighbourhood ties (Coley et al. 1997; Kuo et al. 1998; Ward Thompson
2002). Evidence suggests that the presence of trees and grass in urban areas encourages individuals
to utilise outdoor space, increasing the likelihood of social interaction. The higher the number of
trees and vegetation in an area, the more people that use it and the more time they spend within it
(Coley et al. 1997; Kuo et al. 1998). Urban parks give individuals the opportunity to meet new people
– an opportunity that is not so readily provided elsewhere in modern society (Ward Thompson
2002).

Social engagement and interaction can also be increased through participation in outdoor
conservation and development activities and initiatives (Pretty & Smith 2004; Parliamentary Office
of Science and Technology 2007). These activities can connect people through groups and networks,
and build stronger communities, particularly in Urban areas where greenspace such as woodlands
are generally  declining (Pretty & Smith 2004; Parliamentary Office of Science and Technology 2007).
By protecting nature, individuals can obtain social contact and derive value from being in the
presence of nature (Pretty & Smith 2004).

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23.4.3 Providing Wild Foods

Ecosystems provide wild foods that can have a direct effect on health. For many thousands of
generations, farmers, hunter‐gatherers, fishers and foragers have utilised, managed and amended
wild foods from their surrounding habitats in order to provide a source of nutrition for themselves
and others (WHO 2005; Bharucha & Pretty 2010). Historically, wild plants and food were the sole
source of nutrition for hunter‐gather and forager cultures, and so, have long‐standing cultural value
as well.

Today, wild foods help to link people to local habitats and increase social engagement, thus
impacting upon health. The Food and Agriculture Organization of the United Nations estimates that
one billion people use wild foods in their diet at some time during a typical year (Aberoumand,
2009). In many parts of the world, wild foods remain important to health: the mean use of wild
foods by agricultural and forager communities in 22 countries of Asia and Africa (36 studies) is 90–
100 species per location (Bharucha & Pretty 2010). In the UK, however, they now tend to be no more
than a supplement to purchased foods (Bharucha & Pretty 2010). Yet older generations can still
recall when the wild harvest had a critical nutritional value and products ranged from autumn
berries and nuts, to rabbits, wildfowl and birds’ eggs.

The use of wild foods and the prevalence of traditional ecological knowledge appear to be declining
in industrialised countries (Mabey 1996; Pilgrim et al. 2008). In New Zealand, however, more than 60
species are still in common use, largely because of traditions of Māori groups. These include
muttonbird (sooty shearwater, Puffinus griseus), seagull, possum, rabbit, deer, wild pig, goat,
salmon, trout, eel, watercress, sea lettuce, gorse and many berries  (Newman & Moller 2005;
Stephenson & Moller 2009). In the Wallis Lake catchment, Australia, 88 species are in general use
(Gray et al. 2005). In the swamps of Louisiana, USA, large numbers of people still hunt and fish
regularly for their own food (Roland 2006). With regards to Europe, Pieroni (1999) suggests that the
geographical isolation of the upper Serchio Valley in Tuscany has “permitted a rich popular
knowledge to be maintained”, and, as a result, gastronomic traditions have survived from pre‐
Roman times: 120 species still form a well‐preserved pharmacopoeia of food and medicine (Pieroni
1999). In other regions of continental Europe, wild food use persists: 123 edible species are still used
in Spain (Tardio et al. 2003); and in many Mediterranean countries, wild foods are still prevalent
enough to be considered an important part of local diets (Leonti et al. 2006).

In the UK, wild foods remain an important cultural link to certain habitats. Wildfowling was very
common in coastal communities, for example, until the mid‐20th Century (Tennyson 1949;
Wentworth Day 1949, 1950), and duck decoys were an important source of both food and income
during the 18th Century (Heaton 2001). At their height, there were 29 duck decoys in Essex, 14 in
Suffolk and 26 in Norfolk, and each could harvest 5,000 birds per year. The last working duck decoy
in East Anglia closed in 1968. Yet wildfowling remains an important activity and food for small
groups in coastal areas (Pretty 2011). In some communities, the wild harvest remains a significant
cultural event. For example, for generations men from the fishing village of Ness on the Isle of Lewis,
Scotland, have travelled 60 km each August to the island of Sula Sgier to gather young gannets
(Morus bassanus) (Pretty 2011). Some 2,000 of these guga (Gaelic for young gannet) are collected
from nests on the rock faces and killed; they are later salted and stored for local consumption as the
meat is a highly valued. There is no evidence that the gathering has any adverse effect on the overall
population of the gannet colony.

16


There is some evidence that wild foods are now receiving greater prominence in butchers and
supermarkets, with venison (deer), rabbits and game becoming increasingly available and being
purchased. In the UK, deer numbers are increasing because of growing woodland cover, warmer
winters, improved urban habitat management, and the development of more golf courses. Over the
past 20 years, the area of woodland in the UK has increased by 600,000 hectares to some 2.6 million
hectares, and there are now thought to be 500,000 roe (Capreolus capreolus), 360,000 red (Cervus
elaphus) and 100,000 fallow (Dama dama) deer, along with 50,000 muntjac (Muntiacus reevesi), sika
(Cervus Nippon) and Chinese water (Hydropotes inermis) deer. Due to their grazing habits, which can
decimate plant growth, in many habitats, numbers of deer have to be controlled, and this provides a
ready source of venison. Such hunting and shooting also brings income and people into the
countryside.

In addition, each year, some 20 million pheasants (Phasianus colchicus) and 400,000 mallards (Anas
platyrhynchos) are raised and released for shooting in and around woodlands and wetlands in the
UK. It has been shown that landowners who both hunt and maintain gamebird stocks conserve 7% of
their farms as woodland, whereas those who do neither keep less than 1% as woodland (Oldfield et
al. 2003).

23.4.4 Providing a Catalyst for Behaviour and Lifestyle Change

Contact with nature not only affects immediate health and well‐being, but also health throughout
life. Life courses and pathways, through which all lives are shaped, can be mapped out into a ‘funnel’
(Figure 23.3). Figure 23.3 represents the two extreme pathways, healthy A and unhealthy B.
However, there are numerous pathways that lie in between, consisting of varied configurations and
patterns of behaviours (Pretty et al. 2009).

In pathway A, the healthy pathway, people tend to live longer and have a better quality of life
(Pretty et al. 2009). This increase in life expectancy and quality of life is a direct result of increased
levels of physical activity, a greater connection to people and society, contact with nature, and the
consumption of healthy foods (Pretty et al. 2009). These healthy behaviours may be followed as a
direct result of an individual’s surrounding environment. The ability to access green settings has
been demonstrated to encourage contact with nature and participation in physical activity, both of
which encourage the adoption of other healthy lifestyle choices such as social engagement and
consumption of healthy foods (Wells et al. 2007; Pretty et al. 2009; Bowler et al. 2010). The
availability of greenspace is, therefore, critical to healthy behaviours. On the healthy pathway,
individuals have a better level of mental health, engage with nature regularly, are more resilient to
stress, are members of social groups and keep learning (Foresight 2008; Pretty et al. 2009).

By contrast, the second life course in Figure 23.3, pathway B, is the unhealthy pathway. In this
pathway, individuals have a lower life expectancy and a poorer quality of life, resulting from inactive
and sedentary behaviour, disconnection from society and people, a lack of connection with nature,
and the consumption of energy‐dense and unhealthy foods (Pretty et al. 2009). Individuals on the
unhealthy pathway also have more stressful jobs, a lower socioeconomic status, live in areas where
active travel is difficult, and have an increased likelihood of being mentally ill, overweight or obese
(Foresight 2007; Pretty et al. 2009).

In an increasingly urbanised society, the likelihood of following this pathway is becoming increasingly
likely. As urban areas continuously grow and diffuse into rural areas, individuals rely heavily on cars
for transportation, and are separated from neighbouring communities (Pretty et al. 2009). In

17


modern human history, inactivity, disengagement from nature, consumption of unhealthy foods and
social isolation are common behaviours. Urban areas do not provide vast opportunities for physical
activity or active transport (e.g. cycling), and greenspace is continuously decreasing (Biddle et al.
2004; Louv 2005; Pretty et al. 2007; Pretty et al. 2009). The unhealthy behaviours encouraged by
more modern urban environments are resulting in poor health and well‐being (Pretty et al. 2009)
and some environments may be considered as obesogenic (Foresight, 2007).

Although an individual may spend some time on a particular life pathway, it is possible to change
behaviour and take an alternative pathway (Pretty et al. 2009). Individuals may move to a more
healthy pathway as a direct result of adopting healthy behaviours that require spending time
outdoors. For example, an individual may take part in a wilderness trail or activity away from their
normal environment, but may continue to have contact with nature even when the trail has finished.
This change in behaviour may also lead them towards the adoption of other healthy behaviours,
such as physical activity. However, individuals may also move from a healthy to an unhealthy
pathway as a result of a particular experience. Yet resilient individuals, who regularly perform
physical activity and have contact with nature, are more likely to be able to cope with these stressful
life events and will, therefore, continue on the healthy pathway (Pretty et al. 2009).

By moving from an unhealthy to a healthy pathway, individuals will experience significant
improvements in quality of life and well‐being. Furthermore, this shift will save society
approximately £2,423 per person per year  in health care costs (Pretty et al. 2009). Indeed, if just 1%
of the sedentary population moves to a healthy pathway, 1,063 lives and £1.44 billion will be saved
each year (NICE 2009). The earlier this shift occurs during life, the greater the impact will be upon
health and society.

Insert Figure 23.3 here

23.4.5 Childhood Experience and Behaviour

Experience of nature during childhood can impact upon adult behaviour and life pathways. Although
contact with nature at any age can derive a whole number of benefits for physical and mental
health, contact with nature during youth can directly impact upon healthy adult behaviours.
Research indicates that the frequency of visits to green places during childhood significantly
correlates to the number of visits during adulthood (Ward Thompson et al. 2008; Pretty et al. 2009).
Therefore, a lack of experience of nature as a child may directly result in a lack of contact during
adulthood. Being disconnected from nature is characteristic of an unhealthy life pathway and may
reduce the opportunities for adopting other healthy behaviours (Pretty et al. 2009).

Contact with nature during childhood can also influence environmental attitudes and behaviours
during adulthood. Evidence suggests that children who participated in nature‐based activities before
the age of 11 are much more likely to express pro‐environment attitudes and engage in pro‐
environment behaviours (Figure 23.3). Experience during childhood can, therefore, have a significant
impact upon an individual’s attitude towards the environment, a factor that could potentially impact
upon environmental conservation (Wells & Lekies 2006).

Despite the evidence that adults who have high levels of contact with nature during youth have an
increased likelihood of adopting a healthy life pathway and exhibiting environmentally friendly
behaviours (Wells & Lekies 2006; Pretty et al. 2009), opportunities for the children of today to play
and engage in green settings are continually diminishing. Less than 10% of children ever play in

18


natural areas, compared to the 40% of today’s adults who did so as children. Children are spending
less time outdoors than they used to, and have a reduced understanding of the natural environment
(Louv 2005; Bird 2007). If the children of today continue to be disconnected from nature, it is
increasingly likely that they will embark on an unhealthy life pathway throughout their lives and,
hence, have a reduced quality of life and life expectancy (Pretty et al. 2009).

23.4.6 Epidemiological Studies

Epidemiological studies often show associations between the proximity of greenspace to the home
and positive health outcomes (Maas et al. 2006; Mitchell & Popham 2007, 2008). A direct link
between the amount of accessible local greenspace and health has been evidenced using large‐scale
epidemiological studies in Japan, Netherlands and Sweden, which we have reviewed here  (Takano
et al. 2002; De Vries et al. 2003; Grahn & Stigsdotter 2003).

In Tokyo, Japan, tree‐lined streets, parks and other greenspaces play a key role in the increased
longevity of residents, and decrease the risk of mental health issues (Takano et al. 2002). A
longitudinal study compared access to local greenspaces within walking distance of home and
mortality rates in elderly people over a period of five years. After controlling for demographic and
socioeconomic variables, Takano et al. (2002) found that, out of 3,100 Tokyo citizens born between
1903 and 1918, 71% were still alive in 1992, and that the probability of their living for an additional
five years was linked to their ability to walk in a local park or tree‐lined street (Takano et al. 2002).
However, the issue of causality is not clear as it is possible that the more affluent individuals, who
often live longer anyway, represented those who lived in the greener neighbourhoods (Adams &
White 2003).

In the Netherlands, self‐reported health data from over ten thousand Dutch urban residents was
correlated with national environmental data characterising the type and quantity of blue and green
spaces present in their neighbourhood. Socioeconomic and demographic characteristics were
controlled for selection effects and the study reported that people living in greener neighbourhoods
enjoyed better general health (De Vries et al. 2003). The type of greenspace did not seem to alter
effectiveness; the total amount of greenspace in the living environment seemed to be the most
relevant predictor. However, environmental characteristics were separated into neighbourhoods,
and all individuals within that particular area were classed as having equal access to greenspaces.
This measure does not acknowledge that exposure to greenspace may vary considerably between
residents of the same neighbourhood and that durations of exposure may also differ.

In a Swedish study, Grahn and Stigsdotter (2003) examined the relationship between the use of
urban greenspaces and health, and found that the level of self‐reported stress showed significant
relationships with the proximity of urban greenspaces, the frequency of visits to those greenspaces,
and the duration of the stay. The findings implied that the more frequent the visits, the lower the
incidence of stress‐related illnesses. Having access to a public or privately owned garden adjacent to
their place of residence was another principal factor, which has implications for both policy and
urban landscape planning (Maas et al. 2006; Mitchell & Popham 2007, 2008).

Perceived neighbourhood ‘greenness’ is also strongly associated with better mental and physical
health (Sugiyama et al. 2008). Respondents who perceived their neighbourhood as highly green
were 1.37 and 1.60 times more likely to have better physical and mental health respectively, in
comparison with those who perceived it as low in greenery. The degree of species richness in urban
greenspaces has also been positively associated with the psychological well‐being of visitors (Fuller

19


et al. 2007), emphasising the importance of locally managed biodiversity in providing a sense of
place and an object for reflection.

Despite these findings, it is also important to acknowledge potential selection or causation
mechanisms (De Vries et al. 2003). Selection processes would suggest that healthy people move to
green surroundings (selective migration), whereas causation mechanisms would imply that living in
green environments promotes good health and well‐being. So do green environments make people
healthier and affect individual behaviour, or do those particular areas attract healthy people? If a
person resides in a green area, do they spend more time being physically active outdoors? Even if
the natural environment did not affect physical activity patterns, would the health of those living in
greener surroundings improve solely from the increased exposure to nature?  Although all of these
studies have attempted to address the possibility of selective migration, it cannot be categorically
ruled out. The studies are also cross‐sectional in nature, as opposed to longitudinal. Cross‐sectional
studies are valuable and provide a good starting point (Wells et al. 2007) by establishing
relationships among correlates or covariates (Bauman et al. 2002). However, longitudinal studies are
necessary to establish causality, which is an important outcome for informing policy and practical
recommendations. Although longitudinal studies are time intensive, the advantage of exploring
causality makes them a creditable goal.

23.5 Reducing the Incidence of Pollution and Disease Vectors

Ecosystems provide important services by reducing threats to health through purification,
dampening and consumption functions. Processes include local climate regulation, noise reduction,
scavenging of air pollutants and the control of vectors of disease.

23.5.1 Air Purification through the Reduction of Pollution

Ambient air pollution has long been implicated as a contributor to adverse health effects. The House
of Commons Environment Audit Committee reported that up to 50,000 people a year in the UK may
be dying prematurely because of air pollution (Defra, 2007). The Government’s 2007 Air Quality
Strategy estimates that the health impact of particulate matter alone costs the UK between £8.5
billion and £20.2 billion a year (Defra 2007). This is very likely to be an underestimate as it ignores
the impact on morbidity, costing only mortality. In addition, air pollution has wide‐ranging
environmental impacts including loss of biodiversity, reduced crop yields and contributing to climate
change.

Rehdanz and Maddison (2008) found that perceived levels of air pollution are negatively related to
well‐being in Germany. Welsch (2006) examined average well‐being in relation to average air
pollution values, and found significant negative associations in each case. Brereton et al. (2006) and
Ferreira & Moro (2010) working with individual‐level data on air pollution and other Environmental
Quality parameters in Ireland, also found negative associations between air pollution and well‐being;
and MacKerron & Mourato (2010)arrived at the same conclusion using air pollution data for London.

Numerous studies have shown how ecosystems can play a significant role in reducing air pollution.
Rowe (2010) recently reviewed the use of green roofs to reduce pollution. He concluded that they
have significant potential to reduce air pollution directly and emissions indirectly. The major hurdle
to their widespread utilisation is the considerable cost barrier between green and conventional roofs
(Rowe 2010).

20


Urban forests can either reduce air pollution by increasing dry deposition, or increase it through
emissions of enhanced biogenic volatile organic compound (BVOC), which can act as precursors of
secondary air pollutants. Many reports have shown that trees in urban areas provide a significant
contribution to the reduction of air pollutants (Yang et al. 2005; Nowak 2006; Escobedo & Nowak
2009). Escobeda et al. (2011) argue the forests should be managed within the parameters of urban
sustainability and, at the same time, promoted to policy makers and citizens as a means of
mitigating pollution, so they can be used to improve human quality of life throughout the cities of
the world (Escobedo et al. 2011).

There is little guidance on optimum locations in which to plant trees in urban areas. In New York,
locations for tree planting have used indicators such as hospitalisation and asthma rates (Grove et
al. 2006). This earlier work has now been developed into a planting priority index that spatially
considers air pollution concentrations, human population density and tree cover. On the other hand,
the placement of trees may also increase pollution concentrations at street levels, especially in
valleys where they impact on the dispersion processes (Buccolieri et al. 2009).

On a global scale, BVOCs emitted from vegetation are more reactive than, and exceed,
anthropogenic VOCs. Emission rates of BVOCs are strongly dependent upon temperature, so it is
expected that they will increase in the future as a result of climate change. Emissions also vary from
species to species, so selective planting of low‐emitting species may be beneficial. Donovan et al.
(2005) developed an urban tree air quality score that ranks trees in order of their potential to
improve air quality. They concluded that pine, larch and silver birch had the greatest potential to
improve air quality. In contrast, if planted in large numbers, oaks, willows and poplars had the
potential to decrease air quality downwind (Donovan et al. 2005).

23.5.2 Interception of Noise and Water

In recent years, noise pollution has become an increasingly important environmental problem which
can have adverse effects on human health (Ozer et al. 2008). Traffic‐generated noise is one of the
main sources of noise pollution, with excessive noise from roads, air traffic and railways in urban
areas commonly resulting in stress (den Boer & Schroten 2007; Ozer et al. 2008). Habitats containing
trees and shrub vegetation have been demonstrated to be particularly effective at providing barriers
to noise in urban settings (Frumkin et al. 2004; Ozer et al. 2008; Ernstson et al. 2010; Fitter et al.
2010). Research has also demonstrated that the presence of vegetation can significantly reduce
noise levels from urban motorways (Ozer et al. 2008). Furthermore, green belts have been
suggested to be effective tools for the mitigation of traffic‐generated noise (Pathak et al. 2011).
However, the specific characteristics of the vegetation should be considered as the crown width,
height and density of plants, and the position of their leaves against the direction of the noise, may
influence their effectiveness (Ozer et al. 2008). The vegetation must also be tolerant to air pollutants
from motorised transport (Pathak et al. 2011).

Vegetation is important for the interception of water in Urban habitats (Cornell University 2009).
Large cities and towns are often covered with hard surfaces that do not allow for the absorption of
water. During storms or times of high rainfall, this can result in high levels of surface water. This
excess water often runs into sewer systems causing them to overflow into rivers and lakes, washing
pollutants into them. The presence of trees and other vegetation can reduce this problem by
lessening the surface water and enhancing water absorption via the soil. Vegetation can also
transpire water from their leaves. The presence of vegetation in urban ecosystems is, therefore, of

21


great importance as it can help to reduce flooding and prevent the pollution of rivers and lakes
(Cornell University 2009).

23.5.3 Mitigation of the Heat Island Effect

The Heat Island effect is a well‐established phenomenon of large urban settlements; the
temperature difference between London and the surrounding suburbs, for example, can be as large
as 9oC (Kolokotroni & Giridharan 2008). It is known that urban greenspace mitigates this effect (Gill
et al. 2007). Trees also filter and take up air pollutants, including oxides of nitrogen and sulphur and
particulates (Beckett et al. 1998; Tiwary et al. 2009). The current 7% tree cover in the West Midlands
reduces air concentrations of PM10 (particulates >10 micro‐metres) by 4% (McDonald et al. 2007).
Trees and other vegetation also intercept noise by absorbing reflected and laterally transmitted
noise.

23.6 Direct Threats to Human Health

This section does not consider the toxicants, pollutants or contaminants introduced into the
environment as a result of human activity or management. Those classes of compounds with known
effects on human health include some pesticides, air pollutants, endocrine disruptors, PCBs, heavy
metals, radionuclides, asbestos, aliphatics (e.g. vinyl chloride, formaldehyde), and oils (Conway &
Pretty 1991; Frumkin 2005; Pretty 2005). The effects of some of these threats to health are
dampened or mitigated by specific ecosystems.

Ecosystems themselves, however, can be a direct provider of threats to human health, and it is these
threats that we are reviewing here. They include infectious agents (e.g. Lyme borreliosis,
Cryptosporidium species, malaria, cholera, cyclospora cayetanensis, campylobacter species and
leptospirosis species); physical threats from wild animals (though not generally a factor in UK),
domestic livestock and dogs; pollutants or contaminants from plants (e.g. bracken spores, VOCs,
pollen); elemental threats through extremes of temperature or UV radiation; and accidents (Frumkin
et al. 2004).

There are a wide variety of pathogens in water that comprise threats to health including Escherichia
coli and Salmonella, Campylobacter, Giardia and Cryptosporidium species. Some of these come from
natural sources, such as (waterbirds and wild animals, and some come from human sources. Vector‐
borne diseases involve the transmission of infectious agents (viruses, bacteria and parasites) by
blood‐sucking arthropods such as mosquitoes. A number of such diseases have emerged for the first
time, or resurged, as significant public health threats during the past 25 years. These include Lyme
Disease, Dengue Fever and the more serious Dengue Haemorrhagic Fever, Yellow Fever, Japanese
Encephalitis, West Nile Virus, Alkhurma Virus, a subtype of Kyasanur Forest Disease, Venezuelan
Equine Encephalitis, Epidemic Polyarthritis (Ross River Virus), Barmah Forest Virus, Rift Valley Fever,
Oropouche Fever, California Encephalitis and Crimean‐Congo Haemorrhagic Fever (Watson et al.
2005).

Lyme Disease, involving the infection of humans following a tick bite, has become a significant public
health problem in the USA, and has recently increased within the UK. The Health Protection Agency
now estimates that there are 1,000–2,000 cases of Lyme Disease in the UK each year. The ticks that
cause Lyme Disease are commonly found in woodland and heathland areas because these types of
habitats have a high number of tick‐carrying animals such as deer and mice. Parts of the UK that are
known to have a particularly high population of ticks include Exmoor, the New Forest, the South

22


Downs, parts of Wiltshire and Berkshire, Thetford Forest in Norfolk, the Lake District, the Yorkshire
Moors and the Scottish Highlands (NHS 2011b). The tick population is highest in late spring and early
summer.

A further threat to human health arises from natural VOCs. These air pollutants originate from
vegetation, such as oak and maple, but can also be anthropogenic in origin (Steinbrecher et al.
2008). The main natural VOCs are isoprene and terpene, and large forests can emit 50 kg/km2 daily
at the height of the growing season (Behr & Johnen 2008). Natural VOCs emitted by such habitats
can contribute significantly to the formation of tropospheric ozone, which has negative health
consequences (AQEG 2009).

Another threat to human health arises from noise intruding on ecosystems and consequently
affecting well‐being. The sources of noise pollution are mainly from transport. Van Pragg & Baarsma
(2005) investigated aircraft noise around Amsterdam Schiphol airport and found that experienced
noise nuisance was negatively related to well‐being, although direct noise measures were not
significant.

Climate also has an effect on human health. Redhanz & Maddison (2005) assessed climate
parameters across 67 countries and found that greater well‐being was associated with a higher
mean temperature during cold months and a lower mean temperature during hot months. In
addition, Brereton et al. (2006) found that higher well‐being in Ireland was related to lower wind
speeds, but higher rainfall.

In addition to the direct effects of climate on well‐being, climate change is predicted to have a
substantial future impact as altered conditions allow the spread and development of new vector‐
borne and waterborne diseases (Watson et al. 2005). It is not clear whether this will bring vectors
that affect human health, but the livestock disease, Bluetongue Virus, has now become established
in the UK since its arrival from the continent via migrating adult midges taking advantage of warmer
conditions. Airborne allergens may also be significantly influenced by climate change. It has been
shown that pollen counts rise with increasing temperatures (Tamura et al. 1997; Anhlholm et al.
1998). In addition, increased atmospheric carbon dioxide results in enhanced production of pollens
from species such as ragwort (Senecio jacobea) (Ziska & Caulfield 2000). The recent comprehensive
assessment by the Health Protection Agency (Department of Health/Health Protection Agency 2008)
has concluded that outbreaks of malaria in the UK are likely to remain rare, but that there is still the
possibility that more effective vectors (different species of mosquito) may arrive in the UK as the
climate becomes more suitable for them. Tick‐borne diseases are expected to become more
common, but this is more likely to be due to changes in land use and leisure activities than to climate
change. The likelihood that tick‐borne encephalitis will become established in the UK is very low.

Finally, there are some natural sources of radiation in the UK (e.g. radon from granite rocks in south‐
west England and Scotland) that constitute significant natural threats to health.

23.7 Methods for Establishing Health Values

23.7.1 Questionnaire‐based Measures for Mental Health

Table 23.4 summarises the main instruments in use for measuring mental health arising from
exposure to nature. Many different methods are available, but Table 23.4 comprises a list of the

23


most commonly applied tools from key studies identified in earlier sections. This list is indicative
rather than exhaustive.


23.7.1.1 Self‐esteem
Self‐esteem is commonly accepted as a key indicator of emotional stability and, therefore, is a
contributor to mental well‐being, quality of life and survival (Huppert & Whittington 2003). An
individual’s level of self‐esteem has implications for health behaviours, motivations and lifestyle
choices. High levels of self‐esteem are associated with healthy behaviours, such as healthy eating
and physical activity, and also stress resilience and life satisfaction (Torres & Fernandez 1995; Fox
2000). Low self‐esteem is closely linked to mental illness and the absence of psychological well‐
being, with symptoms including depression, trait anxiety, suicidal ideation and a sense of
hopelessness (Fox 2000).

Rosenberg’s Self Esteem Scale (RSE) is the most widely used and popular self‐esteem measure
(Rosenberg 1965). It is a standardised tool used in health psychology and is regarded as the standard
against which other measures of self‐esteem should be compared (Rosenberg 1965). The RSE scale
consists of ten statements concerning how an individual views themselves, and requires a response
of ‘strongly agree’, ‘agree’, ‘disagree’ or ‘strongly disagree’ for each (Rosenberg 1965). The scale’s
conservative measure, superior reliability and validity is widely acknowledge, and these qualities
have been demonstrated with many different sample groups (Fox 2000): its use has been validated
for adolescent, adult and elderly populations. The RSE has been used in a wide range of green
exercise studies, predominantly in the UK (Pretty et al. 2005; Peacock et al. 2007; Pretty et al. 2007;
Peacock et al. 2008; Barton et al. 2009; Barton & Pretty 2010; Barton et al. 2011).

23.7.1.2 Mood states and/or emotion
Mood is defined as “the subtle subjective state or feelings of a person at any given moment” (Hull
1991). It is an integral component of daily life and has a strong influence on feelings of happiness,
being able to appreciate the moment, coping with stressful situations and general quality of life
(Berger et al. 2002). Mood states are known to influence long‐term health by both direct (immune
system) and secondary (lifestyle choices) pathways.

The Profile of Mood State (POMS) standardised short form questionnaire is the primary instrument
for measuring mood due to its sensitivity to mood changes in many settings (McNair et al. 1971;
Biddle 2000; Biddle et al. 2000). The POMS questionnaire comprises six subscale mood components:
five negative and one positive. These are ‘anger‐hostility’, ‘confusion‐bewilderment’, ‘depression‐
dejection’, ‘fatigue‐inertia’, ‘tension‐anxiety’ and ‘vigour‐activity’ (McNair et al. 1971). There are five
words to represent each of the six subscales and respondents are requested to indicate the degree
to which they are experiencing the particular mood state by selecting ‘not at all’, ‘a little’,
‘moderately’, ‘quite a bit’ or ‘extremely’ (McNair et al. 1971). The POMS questionnaire has been
regularly used to assess short‐term, acute mood changes in individuals after they have participated
in nature‐based activities in the UK (Pretty et al. 2005; Peacock et al. 2007; Pretty et al. 2007;
Peacock et al. 2008; Barton et al. 2009; Barton & Pretty 2010; Barton et al. 2011).

The Zuckerman Inventory of Personal Reactions (ZIPERS) is a broad state affect test that assesses
feelings on five factors: ‘fear arousal’, ‘positive affect’, ‘anger/aggression’, ‘attentiveness’ and
‘sadness’ (Zuckerman 1977; Ulrich 1981; Hartig 2003). The respondents indicate the extent to which
the statements describe how they feel at that precise moment using a five‐point scale (1=not at all

24


to 5= very much) (Zuckerman 1977; Hartig 2003). The ZIPERS has been used in a large number of
studies examining the effect of restorative environments, mainly in the USA (Ulrich 2002; Hartig
2003).

Anxiety is a mood or emotional state that includes feelings of apprehension, tension and
nervousness (Spielberger 1970). The Spielberger state‐trait anxiety inventory (S‐STAI) and the S‐
STAI six item short version are used to assess anxiety (Spielberger 1970; Diette et al. 2003). The S‐
STAI is a self‐report questionnaire which requires participants to indicate whether they are feeling
calm, tense, upset, relaxed, etc. Participants respond on a four‐point scale using either ‘not at all’,
‘somewhat’, ‘moderately’ or ‘very much so’ (Spielberger 1970; Diette et al. 2003). The scores are
summed and normalised to a scale with scores ranging from 20 to 80: 20 represents a low level of
anxiety and 80 represents a high level (Diette et al. 2003).

The Lewis Stressful Life Events Scale is used to assess the frequency of stressful life events (Lewis et
al. 1984) and was originally tested and developed on children in the USA (Wells & Evans 2003). The
scale consists of 20 items each concerning a stressful life event. The respondent is asked to indicate
the degree to which they experience this stressful life event using ‘a lot’, ‘sometimes’ or ‘never’
(Lewis et al. 1984; Wells & Evans 2003). Examples of items on the scale include “how often were you
picked on or made fun of by other kids?” and “How often did you fight or argue with your parents?”.
The method has been used to explore relationships between access to nature and the ability to cope
with stressful life events (Wells & Evans 2003).

23.7.1.3 Overall mental well‐being
The General Health Questionnaire (GHQ) is the industry standard for measuring psychological
health and provides an overall indication of psychological state (Chisholm et al. 1975; Goldberg
1978). There are several versions of the GHQ including a 28‐item and 12‐item version (Goldberg et
al. 1997). Questions are scored using a three‐point Likert scale, with variation in their meaning
according to the question itself (Goldberg 1978; Goldberg et al. 1997). The 12‐item version has been
demonstrated to be robust and to work as well as the longer, 28‐item version (Goldberg et al. 1997).
On the 12‐item version, the questionnaire scores range from a minimum of 0 to a maximum of 36. A
score of 0 represents an excellent state of mental health, while a score of 36 represents a poor state
of mental health (Pretty et al. 2005). Although this tool is commonly used in mental health research,
it has only been used sparingly to assess the health values of contact with nature.

The Rutter Child Behaviour Questionnaire is used to assess psychological distress, including
symptoms of behavioural disorders, anxiety and depression (Rutter et al. 1970; Boyle & Jones 1985;
Wells & Evans 2003). The questionnaire is a standardised, widely used instrument that is commonly
used in non‐clinical populations. The questionnaire consists of 26 items that are responded to on a
three‐point scale by the child’s mother (0=does not apply, 1=applies somewhat, 2=certainly applies)
(Wells & Evans 2003). Items on the scale include phrases such as my child “often appears unhappy”
and “bullies other children”. This instrument has been used to explore relationships between access
to nature and the ability to cope with stressful life events (Rutter et al. 1970; Boyle & Jones 1985;
Wells & Evans 2003).

The Global Self‐Worth Scale is used to assess children’s perception of mental well‐being (Harter
1982). The scale assesses three domains of self‐competence, including social, cognitive and physical
domains, and also assesses general self‐worth (Harter 1982). The scale includes six items with
statements such as “some kids like the kind of person that they are but other kids often wish they

25


were someone else” (Wells & Evans 2003). The respondent responds to each statement using either
‘really true’ or ‘sort of true’ (Wells & Evans 2003).

23.7.1.4 Mappiness methods
A custom iPhone application (‘app’) and accompanying back‐end data server have been developed
by (Mourato & MacKerron 2010). Recruitment of participants is opportunistic, relying mainly on
media coverage and snowballing via Twitter. After downloading the app to their devices, participants
provide basic demographic and health‐related information, confirm settings, and give their informed
consent in order to register. Participation is anonymous: no name, address, or other contact
information is requested. Participants receive simple feedback, charting their happiness in different
contexts, and can take part in the study for as long (or short) a period as they wish. Following
registration, participants receive a notification (beep) on their device between one and five times a
day, at their own choice. The notifications come at a random moment during hours agreed by the
participant. The default frequency is twice a day, and the default hours are 8am–10pm. Each
notification prompts the participant to open the app and to briefly report how they are feeling and,
in broad terms, whom they are with, where they are and what they are doing. Respondents report
the extent to which they feel ‘Happy’, ‘Relaxed’ and ‘Awake’ on a sliding visual analogue scale.

23.7.2 Physiological and Questionnaire‐based Methods for Assessing Physical Health
The majority of the research assessing the health benefits of exposure to nature has predominantly
used mental health measures. However, to establish an overall health value we also need to address
the impact upon physical health indices such as heart rate, blood pressure, skin conductance and/or
cortisol (stress hormone). Some authors have started exploring the impact on natural killer T cell
activity and other key hormones to progress the research to a cellular level (Li et al. 2007).

23.7.2.1 Body Mass Index and Waist to hip ratio
Body Mass Index (BMI) is a simple index of weight:height that has been widely used to estimate
body fat and to classify adults as underweight, overweight and obese for several decades (Keys et al.
1972; WHO 2011; NHS 2011a; NIH 2011). It is defined as the weight in kilograms divided by the
square of the height in metres (kg/m2). It has been used by the World Health Organization as the
standard for recording obesity statistics since the early 1980s and is seen as a useful estimation of
risk for diseases that can occur with more body fat. The higher the BMI calculation, the greater the
risk for certain health issues such as Cardiovascular Disease , high blood pressure, Type 2 Diabetes,
gallstones, breathing problems and certain cancers (NIH 2011). Although controversies over the use
of BMI for medical diagnosis remain, it is generally accepted  for individuals with an average body
composition (WHO 1995). Classification of BMI scores are: <18.5 = underweight; 18.5–24.99 =
normal; 25–29.99 = overweight and >30 = obese. Some studies have monitored changes in BMI over
time as a result of participation in green exercise activities (Hine et al. 2011). Others have explored
the relationship between BMI and the mental health benefits experienced through nature‐based
activity (Pretty et al. 2005).

Waist to hip ratio (WHR) is a simple and useful measure of fat distribution and is a tool that helps
determine overall health risk (NHS 2011a). People with more weight around their waist are at
greater risk of lifestyle‐related diseases, such as Cardiovascular Disease and diabetes, than those
with weight around their hips. The classification of risk as defined by waist to hip ratios is as follows:
for men: <0.95 = low risk; 0.96–1.00 = moderate risk; >1 = high risk; and for women: <0.80 = low risk;
0.81–0.85 = moderate risk; >0.85 = high risk. The norms for adults are 0.84 for males and 0.72 for
females. Waist circumference is measured with a measuring tape around the narrowest

26


circumference between pelvis and thorax (or two‐finger width above navel) and hips are measured
from the side at the level of the maximal protuberance of buttocks.

23.7.2.2 Blood pressure
Blood pressure is an important marker of cardiovascular health: particularly high levels are
associated with Cardiovascular Disease and cerebrovascular events (Department of Health Education
and Welfare 2004). Manual and digital sphygmomanometers are most commonly utilised to assess
blood pressure and are applicable in a variety of settings (O'Brien et al. 2001). They are simple to use
and provide a quick assessment of blood pressure. However, the accuracy of the manual monitor is
largely influenced by the assessor itself and should only be used by experienced individuals (O'Brien
et al. 2001). Assessing blood pressure change pre and post nature‐based interventions provides an
indication of recovery, and many studies have used this approach to compare exposure to natural
environments and urban areas lacking nature (Ulrich 1981; Ulrich et al. 1991; Parsons et al. 1998;
Pretty et al. 2005). A portapres is used to measure blood pressure and can provide a beat‐by‐beat
assessment for up to 24 hours (O'Brien et al. 2001). This would allow researchers to explore the
longer‐term impact of exposure to nature on blood pressure over a 24‐hour period and introduce
ambulatory monitoring rather than one‐off measures. The portapres gives waveform measurements
similar to intra‐arterial recordings. However, this method can lead to various inaccuracies which may
only be fixed by correction factors and digital monitors (O'Brien et al. 2001).

23.7.2.3 Heart rate and Heart Rate Variability (HRV)
Heart rate and heart rate variability (HRV) are important markers of autonomic nervous system
activity and are contributors to cardiovascular health, especially as there is a significant relationship
between the autonomic nervous system and cardiovascular mortality (Treiber et al. 1989; Task Force
1996). Heart Rate monitors are commonly utilised to assess heart rate as they are applicable in both
laboratory and field settings (Treiber et al. 1989). Heart rate monitors consist of a chest strap and a
wristwatch. The chest strap is fitted around the subject’s chest to detect a heart rate reading; this
reading is transmitted to the wristwatch which stores and monitors heart rate for a selected time
period (Treiber et al. 1989). While heart rate monitors are easy to use in both laboratory and field
settings, there is some concern with regards to their accuracy (Treiber et al. 1989). Heart rate
monitors have been used to assess experiences both in greenspaces and in urban areas lacking
nature in a few studies (Ulrich et al. 1991; Parsons et al. 1998; Pretty et al. 2005).

Electrocardiograms (ECGs) are also used to assess heart rate and are considered to provide much
more reliable results than heart rate monitors (Treiber et al. 1989). Not only do ECGs provide an
overall measure of heart rate, but they also provide a measure of heart rate variability: beat‐by‐beat
variation in heart rate (Task Force 1996; Martini 2006). Three electrodes are placed at different
points on the body’s surface and connected to a computer (Martini 2006). The computer generates a
graph of each heart beat cycle, which is made up of several different features including a P‐wave,
QRS complex and T‐wave. If a portion of the heart has been damaged, for example by a heart attack,
the ECG will detect abnormalities in the normal heart beat cycle (Task Force 1996; Martini 2006).
Although useful in laboratory studies using pictures of natural scenes and urban scenes lacking
nature or greenspace (Ulrich et al. 1991), this method would have limited applicability in field
settings.

23.7.2.4 Cortisol
Cortisol is a biomarker of psychosocial stress. Cortisol levels gradually increase within a few minutes
of stress stimulation and reach peak concentrations 10–30 minutes after stress cessation (Foley &
Kirschbaum 2010). Cortisol levels are commonly measured through saliva. A piece of absorbent

27


cotton is placed in the mouth for approximately 1–2 minutes and placed in a test tube. The saliva
sample can then be frozen and stored for later analysis of cortisol concentration (Foley &
Kirschbaum 2010; Park et al. 2010). However, when cortisol is measured via samples of saliva, it is
only possible to determine free cortisol levels (the concentration of those cortisol particles not
bound to protein) (Foley & Kirschbaum 2010).

Blood samples can also be taken to measure cortisol levels. Unlike salivary samples, blood serum
samples can provide both a measure of free cortisol levels and total cortisol (Foley & Kirschbaum
2010). However, blood‐sampling is a more intrusive method. Exploring changes in cortisol profiles
following participation in longer‐term nature‐based interventions is currently being considered for
future research. Very few studies have analysed cortisol levels (Hartig et al. 1996) in in relation to
contact with nature, but investigating this stress hormone could potentially inform future calculated
health values.

23.7.3 Questionnaire‐based Methods for Establishing Connectedness to Nature

23.7.3.1 Connectedness to nature
Connectedness to nature is an important predictor of ecological behaviour and subjective well‐being
and has been demonstrated to be related to an increase in awareness of environmental issues and
environmentally friendly behaviour (Hine et al. 2008b). The Connectedness to Nature Scale (CNS) is
a standardised and validated questionnaire which is a ‘new measure of individuals’ trait feelings of
being emotionally connected to the natural world’ (Mayer & McPherson Frantz 2004). Thirteen
questions are scored on a scale ranging from one to five, with five indicating the maximum level of
connectedness to nature. The CNS score is calculated by adding the scores for each question and
dividing by thirteen to give an overall score between one and five (Mayer & McPherson Frantz
2004). The CNS has been utilised to assess short term changes in connectivity following green
exercise activities (Peacock et al. 2008; Hine et al. 2011).

23.7.3.2 Nature relatedness
Nature relatedness describes an individual’s levels of connectedness with the natural world and
comprises the cognitive, affective and physical connection we have with nature (Nisbet et al. 2009;
Nisbet 2011). The Nature Relatedness Scale is a relatively recent scale (2008) designed to measure
an individual’s level of connectedness with the natural world. The scale consists of 21 items rated on
a five‐point Likert scale, from 1 (disagree strongly) to 5 (agree strongly). Items 2, 3, 10, 11, 13, 14, 15
and 18 are reverse‐scored. A total nature relatedness scale score is created by adding the total score
and dividing by 21. Scores range from one to five, with a high score endorsing a cognitive, affective
and physical connection with nature (Nisbet et al. 2009).

The Nature Relatedness Scale also has three subscales: ‘self’, ‘perspective’ and ‘experience’. A score
can be created for each subscale by averaging the items within that subscale. Again, scores again
range from one to five, with high scores endorsing the subscale. The self subscale measures “an
internalized identification with nature, reflecting feelings and thoughts about one’s personal
connection to nature”; the perspective subscale measures “an external, nature‐related worldview, a
sense of agency concerning individual human actions and their impact on all living things”; and the
experience subscale measures “a physical familiarity with the natural world and the level of comfort
with and desire to be out in nature” (Nisbet et al. 2009). This measure is now starting to be used in
ecosystem and health research.

23.8 Conclusions

28


The findings of this chapter suggest that attention could be given to developing the use of green
exercise as a therapeutic intervention (Hine et al. 2009; Haubenhofer et al. 2010); that planners and
architects should improve access to greenspace (green design); and that children should be
encouraged to spend more time engaging with nature and be given opportunities to learn in outdoor
settings (green education). Some of the substantial mental health challenges facing society
(Foresight 2008; HSE 2008), and physical challenges arising from modern diets and sedentary
lifestyles (Wanless 2002; Wanless 2004; Department of Health 2005a; Sport England 2006; Wells et
al. 2007; NICE 2008; DH & DCSF 2009; NICE 2009), could be addressed by increasing physical activity
in green settings. If children are encouraged and enabled to undertake more green exercise, then
they are more likely to have active exposure to nature embedded in their lifestyle as adults and they
will reap the associated health benefits.

Future research needs to address the issue of causality to convince policy makers of the health
benefits derived from exposure to nature. Therefore, existing measures need to be integrated within
longitudinal population studies such as the British Household Panel Survey. There remains a lack of
longitudinal studies within the existing literature, especially exploring changes from childhood to
adulthood. Introducing this type of time‐series research would also allow a comparison with
financial costings to infer value for money and identify causal effects of the environmental
intervention. Although the existing evidence base concerning the restorative properties of nature
and its role in reducing stress and replenishing attention fatigue is strong, the duration and
frequency of exposure required to prevent stress‐related illness in the long‐term is not fully
understood. Thus, longitudinal studies would ensure the key question concerning long‐term
motivation and sustained behaviour change was addressed, which has important consequences for
public health.

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40

UK Nation
nal Ecosystem
m Assessment
t: Technical Report Heath
h Values: Ch 2
23

Appendix x 23.1 Approa ach used to assign certaint ty terms to chapter Key Findings

This chaptter began wit th a set of Key
y Findings. Addopting the approach and terminology used by the
Intergoveernmental Pan nel on Climate Change (IPC CC) and the M Millennium As ssessment (MMA), these Key y
also include an indication o
Findings a of the level off scientific certainty. The ‘uncertainty a
approach’ of
the UK NEEA consists of f a set of qual
litative uncerrtainty terms derived from m a 4‐box mod del and
compleme ented, where e possible, witth a likelihood scale (see b below). Estimates of certaiinty are
derived fr
rom the collec ctive judgement of author rs, observatio onal evidence, modelling re esults and/or
r
theory examined for th his assessmen nt.

Througho out the Key Findings presen nted at the sttart of this chapter, supers script numbers and letterss
indicate the estimated d level of certa
ainty for a pa
articular key finding:

1. WWell establishe ed: high agreeement based on significan nt evidence
2. Es stablished buut incomplete evidence: hig gh agreement t based on lim
mited evidencce
3. Co ompeting exp planations: loow agreement t, albeit with significant ev
vidence
4. Sp peculative: lo
ow agreement t based on limmited evidenc ce

a.. Virtually ce
ertain: >99% probability of occurrence
b. Very likely: >90% proba ability
c.
. Likely: >66
6% probability y
d. About as liikely as not: >>33–66% probbability
e.. Unlikely: <
<33% probability
f. Very unlikeely: <10% pro obability
g.. Exceptiona <1% probability
ally unlikely: <

41
4


Certainty terms 1 to 4 constitute the 4 box model, while a to g constitute the likelihood scale..

42

UK Nation
nal Ecosystem
m Assessment
t: Technical Report Heath
h Values: Ch 2
23

Graphics
FIGURES

Figure 23.1 Health ben
nefits and thr
reats from ec
cosystems.

Direct positive e
effects
(improvements in
mental and phy ysical
health) physicall activity +v
ve

Indirect positive e effects
Ecosyste
ems and (facilitating activ
vity, Men
ntal and physical
habitats
s social engageme ent and +ve health
behaviour change)

+ve
Reduction of thhreats
(e.g. from vecto
ors,
pollutants, noise (by
d
purification and
interception)
‐ve

Direct threats (e
e.g. from
infectious agentts,
animals, polluta
ants,
extremes of temmperature
and UV, accidennts,
poisonous plant ts, pollen)

Figure 23.2 The green care umbrell
la. Source: ad
dapted from H
Hine et al. (20
008a)

43
4


Figure 23.3 Dichotomous model of life courses. Source: reproduced from Pretty et al. (2009)

Pathway A – people tend to:

• Be active Live longer
• Be connected to people and
society
• Engage with natural places Lower blood CRP
• Eat healthy foods and cortisol

Brain development
a function of A
enriched Children free-
range outdoors Can shift to other
environment
pathway range
outdoors
Three ages of childhood

In utero Attachment Exploration Independence Adulthood Elderly
Secure Engagement Inclusion

-9 months 0 5-6 years 11-12 years 18 years 60-65 years
Can shift to other
pathway range
Brain Children stay outdoors
underdevelopment indoors
B
(atrophied
hippocampus)

Pathway B – people tend to: Die earlier
Higher blood CRP
and cortisol
• Be inactive/sedentary
• Be disconnected from
society
• Not engage with natural Live years
places with lower
• Eat energy-dense and quality of life
unhealthy foods

44

TABLES

Table 23.1 The health and well‐being benefits of contact with nature.

Health and well‐being benefit Evidence
Provides opportunities for ‘green Hartig et al. (1991), Ulrich et al. (1991), Hartig et al.
exercise’ and associated (1996), Hartig et al. (2003), Van den Berg et al. (2003),
improvements in self‐esteem and/or Morita et al. (2006), Pretty et al. (2005), Hine et al.
mood (2007), Pretty et al. (2007), Barton et al. (2009), Barton
& Pretty (2010), Bowler et al. (2010).
Reduces stress Parsons (1991), Ulrich et al. (1991), Lohr et al. (1996),
Rubinstein (1997), Parsons et al. (1998), Hartig et al.
(2003), Laumann et al. (2003), Fredrickson & Branigan
(2005).
Promotes ecological knowledge Pilgrim et al. (2007), Pilgrim et al. (2008), Pretty (2011)
Fosters social bonds   Kawachi et al. (1997), Takano et al. (2002), Ward &
Thompson (2002), Brugha et al. (2003); Barton et al.
(2011), Pretty (2011).
Reduces levels of crime and violence Kuo & Sullivan (2001a), Kuo & Sullivan (2001b)
Provides outdoor classrooms Kaplan & Kaplan (1989), Kahn & Kellert (2002)
Delivers cognitive benefits Berman et al. (2008), Hansen‐Ketchum et al. (2009)
Influences behavioural choices Kuo et al. (1998a), Maas et al. (2006), Mitchell &
Popham (2008), Barton et al. (2011)

45

Table 23.2 Health‐related ecosystem services (positive and negative) from the eight UK NEA Broad
Habitats.

UK NEA Broad Health‐related ecosystem services
Habitats
Provide places Direct positive Reduce threats Direct threats to
for physical effects on from disease health
activity and health vectors,
social pollutants, noise
engagement
Mountains, Considerable Considerable Purification of Bracken,
Moorlands and provision; access provision; wild water and air accidents,
Heaths generally good foods temperature
extremes
Semi‐natural Considerable Considerable Purification of Zoonoses and
Grasslands provision; access provision; wild water and air, vectors,
often limited foods flood regulation livestock
accidents
Enclosed Farmland Limited access Considerable Purification of Zoonoses and
except by provision; wild water and air, vectors,
footpaths and foods from flood regulation livestock
bridleways hedgerows accidents
Woodlands Considerable Considerable Purification of Pollen‐causing
provision; access provision; wild water and air, asthma, VOCs,
generally good foods flood regulation, Lyme disease
climate
regulation
(shading and
cooling)
Freshwaters – Considerable Considerable Purification of Waterborne
Openwaters, provision; access provision; wild water and air diseases
Wetlands and generally good foods from (Cryptosporidiu
Floodplains fishing m, Weil’s
disease), red
tides from
eutrophication,
accidents
Urban* Considerable Provision where Purification of Accidents
provision; access access is water and air,
limited available from interception of
homes and noise and water,
workplaces; reduction of
foods from heat‐island
domestic effect
gardens and
allotments
Coastal Margins Considerable Considerable Sea defences Red tides,
provision; access provision; wild accidents
generally good foods (birds,
shellfish,

46

samphire)
Marine Limited access Limited Limited Accidents
provision (as
limited access)
*Urban greenspace includes, for example, parks, gardens, allotments, street trees; does not include
the built environment.

Table 23.3 Summary findings from an analysis of subjective well‐being (Mappiness). Significance:
*** p < 0.001, ** p < 0.01, * p < 0.05, + p < 0.1. Source: Mourato (xxxx).

Explanatory variable Difference in explanatory Associated difference in
variable happiness response
Walking, hiking +2.6%***
Sports, running, exercise Not doing compared with +6.1%***
Gardening, allotment doing this activity +2.5%***
Birdwatching, nature watching +2.9%**
Outdoors Being indoors compared +1.4%***
with being outdoors
Marine and Coastal Margins +5.2%***
Freshwater ‐ Openwaters, +1.7%+
Wetlands and Floodplains
Being outdoors in
Mountains, Moorlands and +4.0%**
‘continuous urban’ land
Heaths
cover compared with being
Semi‐natural Grasslands +1.2%**
outdoors in the listed land
Enclosed Farmland +2.1%***
cover type
Coniferous Woodland +4.5%***
Broad‐leaved/Mixed Woodland +2.3%***
Suburban/rural developed +1.0%***

47

Table 23.4 Summary of mental health measures.

Number of Examples of ecosystem
Mental health
Questionnaire title items/Factors on studies in which they have
measure
questionnaire been utilised
1. Rosenberg's Self Esteem Self‐esteem 10 items Pretty et al. (2005), Peacock
Scale   et al. (2007), Pretty et al.
(2007), Barton et al. (2009),
Barton & Pretty (2010),
Barton et al. (2011).
2. Profile of Mood State Mood 6 factors (30 items) Van den Berg et al. (2003),
Questionnaire Pretty et al. (2005), Peacock
et al. (2007), Pretty et al.
(2007), Peacock et al. (2008),
Barton et al. (2009), Barton &
Pretty (2010), Barton et al.
(2011).
3. The Zuckerman Inventory of Emotion and 5 factors Ulrich (1981), Ulirich et al.
Personal Reactions mood (1991), Honeyman (1992),
Hartig et al. (1996), Ulrich
(2002), Hartig et al. (2003).
4. Spielberger State‐Trait Anxiety 20 items Diette et al. (2003)
Anxiety Inventory
5. The Lewis Stressful Life Stress 20 item scale Wells & Evans (2003)
Events Scale
6. The General Health Mental well‐being 28‐item and 12‐ Pretty et al. (2005)
Questionnaire item questionnaires
7. The Rutter Child Behaviour Psychological 26 items Wells & Evans (2003)
Questionnaire distress,
behavioural
problems, anxiety
and depression
8. The Global Self‐worth scale Perception of 6 items Wells & Evans (2003)
mental well‐being

BOXES

Box 23.1 Shared understanding of well‐being. Source: Defra (2007).

“Well‐being is a positive physical, social and mental state; it is not just the absence of pain,
discomfort and incapacity. It requires that basic needs are met, that individuals have a sense of
purpose, that they feel able to achieve important personal goals and participate in society. It is
enhanced by conditions that include supportive personal relationships, strong and inclusive
communities, good health, financial and personal security, rewarding employment, and a healthy
and attractive environment. Government’s role is to enable people to have a fair access now and in
the future to the social, economic and environmental resources needed to achieve wellbeing. An
understanding of the effect of policies on the way people experience their lives is important for
designing and prioritising them.”

48

Health Values from Ecosystems

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