The spatial aggregation of agricultural intensity. Felix Teillard
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This document discusses mapping agricultural intensity in France to better target conservation policies. It develops an intensity indicator called Input Cost per hectare (IC/ha) that is computed using farm account data and estimated at a high resolution. The results show strong spatial segregation and aggregation of intensity within regions. Areas of low and high intensity form distinct clusters, indicating opportunities to better target "improvement" measures at sensitive areas and "protection" measures at high quality areas. Mapping intensity at a fine scale provides insights to move conservation policy from theory to practice.
The spatial aggregation of agricultural intensity. Felix Teillard
- 1. 1 The spatial aggregation of agricultural intensity What opportunities for policy targeting? F. Teillard, G. Allaire, E. Cahuzac, F. Léger, E. Maigné and M. Tichit WCCA – Brisbane – September, 29th, 2011 FOOD AGRICULTURE ENVIRONMENT
- 2. Introduction 2 How to improve the efficiency of conservation policies? One option : better spatial targeting (Feehan 2005, Uthes 2010) Agri-environment budget ( 10 €) 1.0 French Farmland Bird Index 6 2000 0.9 1500 0.8 1000 500 0.7 0 0.6 1990 1995 2000 2005 Year
- 3. Introduction – Objectives 3 Map agricultural intensity on large scale, at resolution adequate for policy targeting . • We develop an intensity indicator computable on large scale • We estimate it at infra regional resolution . • We map agricultural intensity and . test for its aggregation
- 4. Methods – The intensity indicator 4 The Input Cost / ha intensity indicator (€ / ha) • Relevant for the five main production types in France (84% of total UAA) • Computed with FADN variables (Farm Accountancy Data Network) • Estimated at higher resolution using other agricultural datasets
- 5. Methods – Spatial scale and resolution 5 National scale, Small Agric. Region (“SAR”) resolution • Estimation 100 Region accuracy/resolution 100km Estimation accuracy 90 trade-off 80 Department SAR 70 County 60 50 Municipality 0 20 40 60 80 100 Estimation resolution • The local Moran index of spatial auto-correlation High LM Low LM
- 6. Results – Agricultural intensity indicator 6 The IC / ha indicator displays a broad intensity gradient 0.0020 Frequency 0.0010 0.0000 0 200 400 600 800 1000 1200 Intensity - IC / ha (€ / ha)
- 7. Results – Agricultural intensity indicator 7 Production types and cost structure along the intensity gradient: < 300 €/ha > 500 €/ha Mainly All production Mainly bovine livestock types indus. crops bovine dairy Fertilizers Feed Pesticides Seed Other
- 8. Results – Agricultural intensity distribution 8 The distribution of agricultural intensity: • Sharp regional contrasts • Infra-regional heterogeneity . Random 100km ≠ Intensity - . IC / ha (€ / ha) 600 Regional 500 400 averages 300 200
- 9. Results – Agricultural intensity aggregation 9 Segregation of agricultural intensity: clusters of significant aggregation within the two intensity extremes Aggregation (local Moran) 0.025 0.015 100km 0.005 Intensity - IC / ha (€ / ha) 500 -0.005 0 200 400 600 800 1000 300 Significant NS Intensity - IC / ha (€ / ha) aggregation aggregation
- 10. Discussion 10 We show strong spatial segregation of agricultural intensity . + Indicator and method usable in other countries - Other intensity components should be combined with the IC/ha
- 11. Discussion 11 The theory (Primdahl 2003, Kleijn 2003) : “Improvement” measures “Protection” measures Target most sensitive area Target high quality areas Reverse biodiversity decline? Current focus Our results give opportunity for going from theory to practice .
- 12. 12 Thank you Submitted paper: The spatial aggregation of agricultural intensity: what implications for conservation policies? email: teillard@agroparistech.fr Funding 2009-2012: FarmBird Project “Coviability models of FARMing and BIRD biodiversity”