SlideShare a Scribd company logo
The ecological and evolutionary impacts of
                  altered
trophic structure due to climate change in
           aquatic communities




            Edmund M. Hart and Nicholas J. Gotelli
                   University of Vermont
@DistribEcology
Talk outline
• Background on climate change

• Study system / Experimental
  design

• How will climate change alter
  community structure?
   o How climate change destabilizes trophic
     structure
       • Using network analysis


   o The Evolutionary impacts of climate change in
     a model organism
       • Using a common garden experiment
Climate change




     Models predict changes in both
     temperature and precipitation
Climate change




                       Lavergne et al 2010
Framework for understanding the impacts of climate change on species
Climate change




                                            Decreasing altitude (increasing temperature)
Lavergne et al 2010


                      Woodward et al 2010
Climate change

                                        Chlamydomonas




Lavergne et al 2010


                      Collins and Bell 2004
Questions
1. How will climate
   change alter trophic
   structure in a model
   system?



2. Will altered trophic
   structure be an agent
   of selection?
Study system
Study system
Vernal pond foodweb




     Detrital / bacterial food source
Experimental design
The ecological and evolutionary impacts of altered
The ecological and evolutionary impacts of altered
The ecological and evolutionary impacts of altered
The ecological and evolutionary impacts of altered
The ecological and evolutionary impacts of altered
Food webs
            Question:
How will climate change alter
trophic structure in a model
system?

           Hypothesis:
Increased warming and
drought severity will create
more variable habitat that
destabilizes food web
structure.
Food webs                                            Species


                                    Link
                                                            ●




                                                 ●                    ●




                                            ●                              ●




                                                 ●                    ●




                                                            ●




Each pond has a food web for each week it was sampled. Each was characterized by
two metrics links / species (L/S) and the proportion of links that are predators (P)
Food webs
                                                                              Web dynamics
                                                                                                          2.0                                                                     ●


        ●                 ●                           ●

                                                                                                          1.8


                                                                                                                                                          ●
●                   ●                             ●                       ●   ●       ●                   1.6                                                             ●

                                                                                                                                                  ●


                                                                                                          1.4                                                     ●                       ●   ●    ●    ●


        ●                 ●                           ●




                                                                                                    L/S
                                                                                                          1.2


            ●                 ●           ●                   ●                   ●
                                                                                                          1.0
                                                          ●           ●
●                                                                             ●


                                                                                                          0.8                            ●

                    ●     ●                       ●   ●                   ●           ●                          ●

                                                                                                                     ●   ●

                                                                                                          0.6
●                                                                             ●
                                                          ●           ●
                                                                                                                                 ●
            ●                 ●           ●                   ●                   ●

                                                                                                                     2           4                6               8           10              12        14
                                                                                                                                                 Study week
    ●                             ●                               ●               ●
                ●                             ●
                                                      ●                       ●
●                         ●


                    ●                             ●                       ●           ●
                                                                                                          0.20                               ●

●                         ●
                                                      ●                       ●
                ●                             ●                                                                                                                               ●
    ●                             ●                               ●               ●
                                                                                                          0.15



            ●                         ●                                                                                                                       ●
                                                                                                          0.10
●                         ●




                                                                                             Pt - Pt-1
                    ●                             ●                                                       0.05


●                         ●


            ●                         ●                                                                   0.00   ●   ●       ●       ●                                                        ●    ●    ●




                                                                                                         −0.05
                        Each pond can be characterized by                                                                                             ●



                                                                                                                                                                      ●               ●



                        a time series of network metrics                                                             2               4                6
                                                                                                                                             Study week
                                                                                                                                                                      8               10           12
Food webs
                          Web dynamics
                                                 ●               ●                               ●




                                         ●                   ●                               ●                       ●   ●                           ●




                                                 ●               ●                               ●




                                                     ●               ●               ●                   ●                               ●

                                                                                                     ●           ●
                                         ●                                                                               ●




                                                             ●   ●                           ●   ●                   ●                               ●




                                         ●                                                                               ●
                                                                                                     ●           ●

                                                     ●               ●               ●                   ●                               ●




                                             ●                           ●                                   ●                           ●
                                                         ●                               ●
                                                                                                 ●                       ●
                                         ●                       ●


                                                             ●                               ●                       ●                               ●


                                         ●                       ●
                                                                                                 ●                       ●
                                                         ●                               ●
                                             ●                           ●                                   ●                           ●




                                                     ●                           ●


                                         ●                       ●




                                                             ●                               ●




                                         ●                       ●


                                                     ●                           ●




                                         ●                           ●               ●           ●                               ●
                                                                                                                                             ●

                                                                                                                         ●


                                                             ●   ●                           ●                       ●                               ●


                                                                                                                         ●

                                                                                                                                             ●
                                         ●                           ●               ●           ●                               ●




                                                     ●               ●               ●           ●                                   ●

                                                                                                                             ●                   ●
                                         ●




                                                             ●   ●                           ●                       ●   ●                           ●




                                         ●
                                                                                                                             ●                   ●

                                                     ●               ●               ●           ●                                   ●




                                                 ●                               ●                       ●               ●


                                                                 ●




                                         ●                   ●                               ●   ●                   ●                               ●




How can we quantify
                                                                 ●


                                                 ●                               ●                       ●               ●




the differences between                  ●                                   ●




                                                             ●   ●                           ●




these two time series?                   ●                                   ●
Food webs
                              Web dynamics




Use autoregressive model parameters to quantify
temporal stability.
Food webs
                                 Web dynamics




Quantify the variance of first order difference of a
time series.
Food webs
                                      Hierarchical mixed model results for L/S
Enhances network
    stability

                0.4




                                ●
                      ●     ●
                0.2




                0.0                    ●                           ●
  Effect size




                                                 ●


                                                                           ●

                                                               ●



            −0.2




                                                                                     ●

            −0.4




                          0.3   0.4        0.5           0.6       0.7         0.8
                                       Water loss rate                 Destabilizes network
                                                                            structure
  Ponds with a smaller water loss rate have the most
  temporally stable networks.
Food webs
                                     Hierarchical model of stationary variance in P



                0.22



                                                                              ●
                0.20
Stationary SD




                                                              ●
                                                          ●
                0.18
                                                    ●


                       ●                                            ●
                                          ●
                0.16
                                 ●
                             ●


                0.14



                0.12

                           0.3   0.4          0.5       0.6   0.7       0.8
                                       Water loss rate

                Ponds with a smaller water loss rate have lower
                variability in the proportion of links that are predators
Food webs
                   Why are dynamics different?




Less variable habitats have far fewer larval stage predators.
Food webs
                                                    Predator use of stable habitat
        ●               ●                            ●
                                                                                               2.0                                        ●




●                   ●                           ●                        ●   ●       ●
                                                                                               1.8


                                                                                                                              ●
                                                                                               1.6                                    ●

                                                                                                                          ●
        ●               ●                            ●

                                                                                               1.4                                ●            ●   ●    ●   ●




                                                                                         L/S
            ●               ●           ●                    ●                   ●
                                                                                               1.2
                                                         ●           ●
●                                                                            ●


                                                                                               1.0
                    ●   ●                       ●    ●                   ●           ●


                                                                                               0.8                   ●
●                                                                            ●                       ●
                                                         ●           ●
                                                                                                         ●   ●
            ●               ●           ●                    ●                   ●
                                                                                               0.6
                                                                                                                 ●



    ●                           ●                                ●               ●                       2       4        6       8       10       12       14
                ●                           ●                                                                            Study week
                                                     ●                       ●
●                       ●


                    ●                           ●                        ●           ●


●                       ●
                                                     ●                       ●
                ●                           ●
    ●                           ●                                ●               ●




            ●                       ●


●                       ●




                    ●                           ●




●                       ●


            ●                       ●
                                                         Stable networks have high numbers
                                                         of larval predators
Food webs
                                        Predator use of unstable habitat
                                                                                        2.0                                ●
●                   ●           ●         ●                   ●
                                                                      ●
                                                                                                          ●
                                                      ●                                 1.8

            ●   ●                   ●             ●                           ●

                                                                                        1.6
                                                      ●

                                                                                                                   ●
                                                                      ●
●                   ●           ●         ●                   ●
                                                                                        1.4




                                                                                  L/S
        ●           ●           ●         ●                       ●
                                                                                        1.2                   ●


                                                          ●               ●
●

                                                                                        1.0       ●                                     ●


            ●   ●                   ●             ●   ●                       ●


                                                                                        0.8                                        ●

●                                                                                                                              ●                     ●
                                                          ●               ●
                                                                                              ●       ●                ●                    ●    ●
        ●           ●           ●         ●                       ●

                                                                                                  2       4        6       8       10       12       14
                                                                                                                  Study week
    ●                       ●                 ●       ●


                ●




●           ●                       ●     ●       ●                           ●




                ●


    ●                       ●                 ●       ●




●                       ●




            ●   ●                   ●




●                       ●
                                                  Unstable networks are used
                                                  transiently adult predators
Food webs
                          Conclusions
• Water loss rate had a strong effect on trophic
  structure dynamics.
   o High water loss rates decreased temporal stability
   o Increased the variance in the proportion of predators



• Changes in dynamics most likely due to changes in
  larval stage habitat usage
   o Ponds with unstable web dynamics had few larval
     predators
Natural selection
           Question:
Will altered trophic structure
   be an agent of selection
driving evolutionary change?

           Hypothesis:              Leuning 1992

D. pulex has demonstrated rapid
microevolutionary responses to
 predators in laboratory studies.
We expect a similar response if
  climate change alters trophic
structure by reducing predators.

                                        Spitze 1991
Natural Selection
                  D. pulex life cycle




• Daphnia pulex




                          D. pulex is cyclically parthenogenic
                          producing clonal daughters
The ecological and evolutionary impacts of altered
The ecological and evolutionary impacts of altered
Natural selection
                         Common garden design




                                    Mothers        A         B        C



                           Clones      A
                                       1
                                           A
                                           2
                                               A
                                               3
                                                       B1   B2   B3   C1   C2   C3




D. pulex were collected in September of 2010 and raised in a growth
chamber for 3 months prior to the start of the experiment.
Natural selection
                                              Traits measured
                                                                           1st instar D. pulex

   Trait             Type            Method             Frequency
                                   Measured from
 Spine length     Morphological                         Every other day
                                      photo
                                   Measured from
 Body length      Morphological                         Every other day
                                      photo
                                   Measured from
 Total length     Morphological                         Every other day
                                      photo
                                                                                            0.568 mm
                                   Measured from
 Head width       Morphological                         Every other day
                                      photo
                                  Counted live born
 Clutch size       Life-history                         Every occurrence
                                      young
Clutch number      Life-history     Counted live        Every occurrence

                                  Calculated from           Once per                 0.203 mm
 Growth rate       Life-history
                                   photographs             individual
   Intrinsic                      Calculated via life
                   Life-history
  population                       table analysis of     Once per pond
growth rate (r)                      individuals
Natural selection
                                 Trait results




Lower values of 1st instar spine length and r
were selected for in the most unstable ponds
Natural selection
      Trait results
Natural selection
                           Predators abundance




Predator abundance was greatest in the most stable ponds and lowest in
the least stable.
Natural selection
           Trait correlation with predator abundance




                                     R2 = 0.76




                                     R2 = 0.69



Predator abundance was tightly correlated with each trait value.
Traits were not correlated with any other covariate
Natural selection
                         Conclusions

• 1st instar tail spine length and r show a genetically
  based change in trait means.


• More variable habitats have lower predator
  abundance.

• Trait response is due to climate change, but mediated
  through that reduction in predator pressure.

• Lab results from earlier selection experiments can be
  useful in making predictions
Bringing it all together
                                                                   Habitat variability gradient due to climate change


                                                                           Decrease in food-web stability

      2.0                                        ●                                                                    2.0                                ●




                                                                                                                                        ●
      1.8                                                                                                             1.8

                                     ●
      1.6                                    ●
                                                                                                                      1.6
                                 ●


      1.4                                ●            ●   ●    ●   ●


                                                                        Changes in trophic structure directly         1.4
                                                                                                                                                 ●
L/S




                                                                                                                L/S
      1.2


      1.0                                                                related to climate change cause an           1.2



                                                                                                                      1.0       ●
                                                                                                                                            ●




                                                                                                                                                                      ●




                                                                           indirect evolutionary response.
      0.8                   ●
            ●

                ●   ●
                                                                                                                      0.8                                        ●
      0.6                                                                                                                                                    ●                     ●

                        ●                                                                                                   ●       ●                ●                    ●    ●



                2       4        6       8       10       12       14                                                           2       4        6       8       10       12       14
                                Study week                                                                                                      Study week




                                                                         Decrease in predator abundance
Acknowledgements
                                                    Funding from Vermont EPSCoR and the NSF




               Nick Gotelli
                                                    •   Alison Brody

                                                    •   DonTobi and the Jericho Research Forest

                                                    •   Many undergrad field assistants through
                                                        the years, especially Cyrus Mallon, Chris
                                                        Graves, Rachel Brooks, Maria
                                                        Donaldson,Collin Love, Erin Hayes-
                                                        Pontius and Jordan Smith.


Head field assistant          Allie Hart (my dad)
Tuesday the dog
Questions?




• @DistribEcology

More Related Content

PDF
Los Angeles R users group - July 12 2011 - Part 1
PPTX
Understanding natural populations with dynamic models
PPTX
Science and social media
PPT
Macroinvertebrate Communities in Ephemeral Ponds: Effects of Competition, Lan...
PPT
Bayesian anova
PPTX
Population dynamics of toxic algal blooms in Lake Champlain
PPTX
Cyanobacteria
PPT
Cyanobacteria lecture
Los Angeles R users group - July 12 2011 - Part 1
Understanding natural populations with dynamic models
Science and social media
Macroinvertebrate Communities in Ephemeral Ponds: Effects of Competition, Lan...
Bayesian anova
Population dynamics of toxic algal blooms in Lake Champlain
Cyanobacteria
Cyanobacteria lecture

Similar to The ecological and evolutionary impacts of altered (17)

PDF
PDF
04 Wrapup
PDF
08 Continuous
PDF
08 Continuous
PDF
Model Visualisation (with ggplot2)
PPTX
How People Use Facebook -- And Why It Matters
PDF
13 Bivariate
PDF
02 large
PDF
02 Large
PDF
1 basics
PPTX
No BS Data Salon #3: Probabilistic Sketching
PDF
01 Intro
PDF
About Vision, Mission And Strategy
PDF
17 polishing
PDF
Space-time data workshop at IfGI
PDF
14 case-study
PDF
Over Visie, Missie En Strategie
04 Wrapup
08 Continuous
08 Continuous
Model Visualisation (with ggplot2)
How People Use Facebook -- And Why It Matters
13 Bivariate
02 large
02 Large
1 basics
No BS Data Salon #3: Probabilistic Sketching
01 Intro
About Vision, Mission And Strategy
17 polishing
Space-time data workshop at IfGI
14 case-study
Over Visie, Missie En Strategie
Ad

Recently uploaded (20)

PPT
What is a Computer? Input Devices /output devices
PDF
STKI Israel Market Study 2025 version august
PPTX
MicrosoftCybserSecurityReferenceArchitecture-April-2025.pptx
PPTX
Tartificialntelligence_presentation.pptx
PDF
Architecture types and enterprise applications.pdf
PDF
gpt5_lecture_notes_comprehensive_20250812015547.pdf
PDF
August Patch Tuesday
PDF
Hindi spoken digit analysis for native and non-native speakers
PDF
How ambidextrous entrepreneurial leaders react to the artificial intelligence...
PDF
DASA ADMISSION 2024_FirstRound_FirstRank_LastRank.pdf
PDF
Web App vs Mobile App What Should You Build First.pdf
PPTX
O2C Customer Invoices to Receipt V15A.pptx
PPTX
Programs and apps: productivity, graphics, security and other tools
PPTX
Chapter 5: Probability Theory and Statistics
PPTX
observCloud-Native Containerability and monitoring.pptx
PDF
2021 HotChips TSMC Packaging Technologies for Chiplets and 3D_0819 publish_pu...
PPTX
OMC Textile Division Presentation 2021.pptx
PPTX
The various Industrial Revolutions .pptx
PPTX
TLE Review Electricity (Electricity).pptx
PDF
Hybrid model detection and classification of lung cancer
What is a Computer? Input Devices /output devices
STKI Israel Market Study 2025 version august
MicrosoftCybserSecurityReferenceArchitecture-April-2025.pptx
Tartificialntelligence_presentation.pptx
Architecture types and enterprise applications.pdf
gpt5_lecture_notes_comprehensive_20250812015547.pdf
August Patch Tuesday
Hindi spoken digit analysis for native and non-native speakers
How ambidextrous entrepreneurial leaders react to the artificial intelligence...
DASA ADMISSION 2024_FirstRound_FirstRank_LastRank.pdf
Web App vs Mobile App What Should You Build First.pdf
O2C Customer Invoices to Receipt V15A.pptx
Programs and apps: productivity, graphics, security and other tools
Chapter 5: Probability Theory and Statistics
observCloud-Native Containerability and monitoring.pptx
2021 HotChips TSMC Packaging Technologies for Chiplets and 3D_0819 publish_pu...
OMC Textile Division Presentation 2021.pptx
The various Industrial Revolutions .pptx
TLE Review Electricity (Electricity).pptx
Hybrid model detection and classification of lung cancer
Ad

The ecological and evolutionary impacts of altered

  • 1. The ecological and evolutionary impacts of altered trophic structure due to climate change in aquatic communities Edmund M. Hart and Nicholas J. Gotelli University of Vermont @DistribEcology
  • 2. Talk outline • Background on climate change • Study system / Experimental design • How will climate change alter community structure? o How climate change destabilizes trophic structure • Using network analysis o The Evolutionary impacts of climate change in a model organism • Using a common garden experiment
  • 3. Climate change Models predict changes in both temperature and precipitation
  • 4. Climate change Lavergne et al 2010 Framework for understanding the impacts of climate change on species
  • 5. Climate change Decreasing altitude (increasing temperature) Lavergne et al 2010 Woodward et al 2010
  • 6. Climate change Chlamydomonas Lavergne et al 2010 Collins and Bell 2004
  • 7. Questions 1. How will climate change alter trophic structure in a model system? 2. Will altered trophic structure be an agent of selection?
  • 10. Vernal pond foodweb Detrital / bacterial food source
  • 17. Food webs Question: How will climate change alter trophic structure in a model system? Hypothesis: Increased warming and drought severity will create more variable habitat that destabilizes food web structure.
  • 18. Food webs Species Link ● ● ● ● ● ● ● ● Each pond has a food web for each week it was sampled. Each was characterized by two metrics links / species (L/S) and the proportion of links that are predators (P)
  • 19. Food webs Web dynamics 2.0 ● ● ● ● 1.8 ● ● ● ● ● ● ● 1.6 ● ● 1.4 ● ● ● ● ● ● ● ● L/S 1.2 ● ● ● ● ● 1.0 ● ● ● ● 0.8 ● ● ● ● ● ● ● ● ● ● 0.6 ● ● ● ● ● ● ● ● ● ● 2 4 6 8 10 12 14 Study week ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0.20 ● ● ● ● ● ● ● ● ● ● ● ● 0.15 ● ● ● 0.10 ● ● Pt - Pt-1 ● ● 0.05 ● ● ● ● 0.00 ● ● ● ● ● ● ● −0.05 Each pond can be characterized by ● ● ● a time series of network metrics 2 4 6 Study week 8 10 12
  • 20. Food webs Web dynamics ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● How can we quantify ● ● ● ● ● the differences between ● ● ● ● ● these two time series? ● ●
  • 21. Food webs Web dynamics Use autoregressive model parameters to quantify temporal stability.
  • 22. Food webs Web dynamics Quantify the variance of first order difference of a time series.
  • 23. Food webs Hierarchical mixed model results for L/S Enhances network stability 0.4 ● ● ● 0.2 0.0 ● ● Effect size ● ● ● −0.2 ● −0.4 0.3 0.4 0.5 0.6 0.7 0.8 Water loss rate Destabilizes network structure Ponds with a smaller water loss rate have the most temporally stable networks.
  • 24. Food webs Hierarchical model of stationary variance in P 0.22 ● 0.20 Stationary SD ● ● 0.18 ● ● ● ● 0.16 ● ● 0.14 0.12 0.3 0.4 0.5 0.6 0.7 0.8 Water loss rate Ponds with a smaller water loss rate have lower variability in the proportion of links that are predators
  • 25. Food webs Why are dynamics different? Less variable habitats have far fewer larval stage predators.
  • 26. Food webs Predator use of stable habitat ● ● ● 2.0 ● ● ● ● ● ● ● 1.8 ● 1.6 ● ● ● ● ● 1.4 ● ● ● ● ● L/S ● ● ● ● ● 1.2 ● ● ● ● 1.0 ● ● ● ● ● ● 0.8 ● ● ● ● ● ● ● ● ● ● ● ● ● 0.6 ● ● ● ● ● 2 4 6 8 10 12 14 ● ● Study week ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● Stable networks have high numbers of larval predators
  • 27. Food webs Predator use of unstable habitat 2.0 ● ● ● ● ● ● ● ● ● 1.8 ● ● ● ● ● 1.6 ● ● ● ● ● ● ● ● 1.4 L/S ● ● ● ● ● 1.2 ● ● ● ● 1.0 ● ● ● ● ● ● ● ● 0.8 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 2 4 6 8 10 12 14 Study week ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● Unstable networks are used transiently adult predators
  • 28. Food webs Conclusions • Water loss rate had a strong effect on trophic structure dynamics. o High water loss rates decreased temporal stability o Increased the variance in the proportion of predators • Changes in dynamics most likely due to changes in larval stage habitat usage o Ponds with unstable web dynamics had few larval predators
  • 29. Natural selection Question: Will altered trophic structure be an agent of selection driving evolutionary change? Hypothesis: Leuning 1992 D. pulex has demonstrated rapid microevolutionary responses to predators in laboratory studies. We expect a similar response if climate change alters trophic structure by reducing predators. Spitze 1991
  • 30. Natural Selection D. pulex life cycle • Daphnia pulex D. pulex is cyclically parthenogenic producing clonal daughters
  • 33. Natural selection Common garden design Mothers A B C Clones A 1 A 2 A 3 B1 B2 B3 C1 C2 C3 D. pulex were collected in September of 2010 and raised in a growth chamber for 3 months prior to the start of the experiment.
  • 34. Natural selection Traits measured 1st instar D. pulex Trait Type Method Frequency Measured from Spine length Morphological Every other day photo Measured from Body length Morphological Every other day photo Measured from Total length Morphological Every other day photo 0.568 mm Measured from Head width Morphological Every other day photo Counted live born Clutch size Life-history Every occurrence young Clutch number Life-history Counted live Every occurrence Calculated from Once per 0.203 mm Growth rate Life-history photographs individual Intrinsic Calculated via life Life-history population table analysis of Once per pond growth rate (r) individuals
  • 35. Natural selection Trait results Lower values of 1st instar spine length and r were selected for in the most unstable ponds
  • 36. Natural selection Trait results
  • 37. Natural selection Predators abundance Predator abundance was greatest in the most stable ponds and lowest in the least stable.
  • 38. Natural selection Trait correlation with predator abundance R2 = 0.76 R2 = 0.69 Predator abundance was tightly correlated with each trait value. Traits were not correlated with any other covariate
  • 39. Natural selection Conclusions • 1st instar tail spine length and r show a genetically based change in trait means. • More variable habitats have lower predator abundance. • Trait response is due to climate change, but mediated through that reduction in predator pressure. • Lab results from earlier selection experiments can be useful in making predictions
  • 40. Bringing it all together Habitat variability gradient due to climate change Decrease in food-web stability 2.0 ● 2.0 ● ● 1.8 1.8 ● 1.6 ● 1.6 ● 1.4 ● ● ● ● ● Changes in trophic structure directly 1.4 ● L/S L/S 1.2 1.0 related to climate change cause an 1.2 1.0 ● ● ● indirect evolutionary response. 0.8 ● ● ● ● 0.8 ● 0.6 ● ● ● ● ● ● ● ● 2 4 6 8 10 12 14 2 4 6 8 10 12 14 Study week Study week Decrease in predator abundance
  • 41. Acknowledgements Funding from Vermont EPSCoR and the NSF Nick Gotelli • Alison Brody • DonTobi and the Jericho Research Forest • Many undergrad field assistants through the years, especially Cyrus Mallon, Chris Graves, Rachel Brooks, Maria Donaldson,Collin Love, Erin Hayes- Pontius and Jordan Smith. Head field assistant Allie Hart (my dad) Tuesday the dog

Editor's Notes

  • #34: Mention growth chamber conditions and purpose of nested design.
  • #36: Mention continued color codes.
  • #39: Mention how spines and clutch size were shown to be part responses to predators.