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Environmental indicators in economic models JM Terres – JRC – Institute for Environment and Sustainability 1 Outline Broad challenges Modelling agricultural impact on the environment. BioMA concept. Tools at farm level, policy measure level Integrated economic and agri-environment modeling. CAPRI – Environment:. IFM-CAP-Agri-Environment Indicators Future challenges – how to tackle them
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Broad challenges of Agriculture and Environment Models for evaluation and impact assessment EC to report by 2018 – and every 4 years thereafter – on CAP performance for main objectives (food production, natural resources, territorial development). CAP Horizontal Regulation - Monitoring & Evaluation N eed to test ‘internally’ variant scenarios for policy design Budget for Europe 2020: 20% for climate related expenditure Prospective: sustainability assessment, food security, footprint, LC analysis, planet boundaries …
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3 Model Integration: BioMA - Biophysical Model Applications Modelling agricultural impact on environment Water Erosion Temperature SOIL Weather Agro-management Modelling solution Diseases Crop model implemented wofostwarm: rice canegrow
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The libraries currently available 4 Weather libraries AirTemperature, EvapoTranspiration, LeafWetness Climate indices Weather Generation (ClimGen, CLIMAK) … Weather libraries AirTemperature, EvapoTranspiration, LeafWetness Climate indices Weather Generation (ClimGen, CLIMAK) … Plant libraries Generic crop Simulation (CropSyst, WOFOST) Pasture (STIC) Rice (WARM) SugarCane (CANEGRO) … Plant libraries Generic crop Simulation (CropSyst, WOFOST) Pasture (STIC) Rice (WARM) SugarCane (CANEGRO) … Soil libraries Soil water runoff and erosion Soil water redistribution (cascading, FiniteDifferences) Soil surface and profile temperature Soil Nitrogen Pedotransfer functions … Soil libraries Soil water runoff and erosion Soil water redistribution (cascading, FiniteDifferences) Soil surface and profile temperature Soil Nitrogen Pedotransfer functions … Agriculture management Rule based modelling Agriculture management Rule based modelling Stresses Abiotic Heat damage Frost kill Rice cold shocks Lodging … Biotic Generic air-borne diseases Generic soil-borne diseases CornBorer simulator … Stresses Abiotic Heat damage Frost kill Rice cold shocks Lodging … Biotic Generic air-borne diseases Generic soil-borne diseases CornBorer simulator …
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5 Tools assessing farm practices, policy measures Low Carbon Farming: a carbon calculator Assess carbon footprint of farm practices and farm products client: DG ENV SOSTARE: Sustainability assessment at farm level agronomic efficiency economic results protection of the environment client: Regione Lombardia OSCAR: Assessing GHG emission for Rural Development measures Client DG CLIMA
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6 CAPRI for agri-environmental assessment: why? Provides input data to bio-physical models or to indicators (e.g crop shares, animal stocking densities, yields, input use (N,P,K; energy; feed...) Ex-post data (e.g. production, consumption, trade flows, prices, crop shares, yield, N-fertilizer input per crop …) are based on EU official data sources (FSS, FADN …) are consistent across scales: farm type / region / MS / EU / trade blocks are used in economic modules and passed to environmental models / indicators The CAPRI baseline is in line with DG-AGRI projections, provides benchmark for counterfactual scenarios Therefore consistent modelling chain for economic (farm income, trade flows …) and environmental assessment is ensured Integrated economic and agri-environment modeling
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Linking economic to environmental models 7 CAPRI Crop share Meteo Admin units Soil Landform Inputs (NPK) Bio-physical / environmental model Results: NUTS2 Local / detailed spatial data Linking economic & bio-physical models
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AE Indicators available in CAPRI 8 N,P balances: Gross Nutrient Balance (N, P) Accounting scheme for emissions relevant for Global Warming mutually consistent with N-Balance (GHG, NH 3, NO x, N 2, NO 3 − ) Energy use indicator for agricultural activities Accounts for direct (gas, heating..) and indirect (fertilizers, plant protection, machinery, buildings, feed …) energy input Risk of Soil Erosion Biodiversity Friendly Farming Practices Agricultural Landscape Structure Farmland Bird Index (proxy)
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Application example: CAP greening measures Modelisation of CAP greening measures Permanent grasslands: maintenance of grassland area to prevent its conversion to arable land. Ecological focus area (5% fallow and/or set-aside land of total eligible area, landscape features) Crop diversity: minimum 3 crops on arable land minimum and maximum thresholds for each crop set at 5% and 70% of the arable land, respectively. 9 To be updated
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CAP Greening measures: environmental assessment with CAPRI - Results 10 Decrease (small) in cereal area Decrease (small) nb beef animals, sheep & goat Cereal yield: +2.2% Cattle activities yield: +1.6% Leakage (limited) effect outside EU on environment Import cereal (+1.040.000t), from Europe (non-EU) and North America Overall, no (big) environmental changes between Greening and Baseline: N balance: limited positive impact (-0.2 kg ha -1 for EU27) Global Warming Potential: slightly lower GWP (-0.5% for EU27) Soil Erosion: no impact CAPRI modeling : allows quantitative environmental assessment (incl. CMEF indicators), fully consistent with economic results (farm supply, welfare analysis, trade …) => increased productivity
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Modelling EU Farmer level responses: A EU wide farm level model for ex-ante assessment of CAP reform. Individual-Farm Level Model (IFM-CAP) Agri-Environmental Indicators AE commitments Soil Management Pesticides Nutrient management Water management GHG / ammonia emissions Biodiversity Energy prod / consumption Cost Production factors
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12 Future challenges Integrated Modeling in Agriculture (Eco) & Environment
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13 Thank you Impact of agriculture on the environment or impact of the environment on agriculture...
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14 GGELS: A Life Cycle Analysis in CAPRI to GHG emissions for the livestock sector in the EU Main results Share of total GHG emission for livestock sector ( Mt CO 2 eq ) Total and composition of GHG emission per kg of product
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