Common Agricultural Policy Regional Impact Research Articles

Projections of soil loss by water erosion in Europe by 2050

Changes in future soil erosion rates are driven by climatic conditions, land use patterns, socio-economic development, farmers’ choices, and importantly modified by agro-environmental policies. This study simulates the impact of expected climatic and land use change projections on future rates of soil erosion by water (sheet and rill processes) in 2050 within the agricultural areas of the European Union and the UK, compared to a current representative baseline (2016). We used the Revised Universal Soil Loss Equation (RUSLE) adjusted at continental scale with projections of future rainfall erosivity and land use change. Future rainfall erosivity is predicted using an average composite of 19 Global Climate Models (GCMs) from the Coupled Model Inter-comparison Projects (CMIP5) WorldClim dataset across three Representative Concentration Pathways (RCP2.6, RCP4.5 and RCP8.5). Concerning future land use change and crop dynamics, we used the projections provided by the Common Agricultural Policy Regional Impact Analysis (CAPRI) model.Depending on the RCP scenario, we estimate a +13 %-22.5 % increase in the mean soil erosion rate in the EU and UK, rising from an estimated 3.07 t ha−1 yr−1 (2016) to between 3.46 t ha−1 yr−1 (RCP2.6 scenario) and 3.76 t ha−1 yr−1 (RCP8.5 scenario). Here, we disentangle the impact of land use change and climate change in relation to future soil losses. Projected land use change in the EU and UK indicates an overall increase of pasture coverage in place of croplands. This land use change is estimated to reduce soil erosion rates (-3%). In contrast, the increases in future rainfall erosivity (+15.7 %–25.5 %) will force important increases of soil erosion requiring further targeted intervention measures.Given that agro-environmental policies will be the most effective mechanisms to offset this future increase in soil erosion rates, this study proposes soil conservation instruments foreseen in the EU Common Agricultural Policy (CAP) to run policy scenarios. A targeted application of cover crops in soil erosion hotspots combined with limited soil disturbance measures can partially or completely mitigate the effect of climate change on soil losses. Effective mitigation of future soil losses requires policy measures for soil conservation on at least 50 % of agricultural land with erosion rates above 5 t ha−1 yr−1.

Water-Food Nexus Assessment in Agriculture: A Systematic Review.

The Water–Food Nexus (WF) has been proposed to reach equitable, balanced, and sustainable access to water and food resources in the face of the growing population demand. Therefore, developing models to assess them has become more relevant. This work systematically reviews the literature on the tools used to evaluate water and food resources between 2002 and 2020. Furthermore, it reports a critical analysis of the software used to assess the WF Nexus quantitatively. The models analyzed were Life Cycle Assessment (LCA), Common Agricultural Policy Regional Impact (CAPRI), Global Food and Water System (GFWS), Soil and Water Assessment Tool (SWAT), Water Evaluation And Planning system (WEAP), and Soil Water Atmosphere Plant (SWAP). We deduced that the following are necessary in evaluating the WF Nexus: (1) the capacity to generate future scenarios, (2) a global application, and (3) the application in case studies. The present paper is the first review to provide an overview of the software applied to evaluate WF Nexus, including the advantages and disadvantages of the tools found. They can help build sustainability criteria when designing policies that reduce water and food security risks and promote efficient water and food use.

Valuation of Public Goods: The Case of Emissions from Livestock Holdings in the Czech Republic

Designed paper is focused on the analysis of public goods in the form of greenhouse gas emissions in livestock production in Czechia. The main aim of the paper is to quantify the amount and valuation of greenhouse gas emissions produced in beef cattle breed (dairy and meat), pig breed, and poultry breed (meat and eggs). The partial aim of this paper is to compare greenhouse gas emissions production across sectors of livestock production and to evaluate a development of volume, value and share of emissions as a form of public goods. The methodology is based on the conceptual model MITERRA-Europe (The model was developed to assess the effects and interactions of policies and measures in agriculture on N losses and P balances at a regional level in EU-27), which is partly based on the CAPRI (Common Agricultural Policy Regionalised Impact) and the GAINS (Greenhouse Gas and Air Pollution Interactions and Synergies) models using the tools for quantification of the emission factors indicators defined by the IPCC (Intergovernmental Panel for Climate Change) organizations. Part of the solution is to determine the value of public goods quantified through a European platform for carbon emissions trading with its futures contract based on the EU Allowances. The result of this paper is quantified emission value of public goods in livestock production in Czechia and their appreciation in the period 2000-2014. In the final consequence is quantified the proportion of the value of public goods in the total production of the analyzed livestock sector.

Assessing the impact of changes in land-use intensity and climate on simulated trade-offs between crop yield and nitrogen leaching

In this study, a global vegetation model (LPJ-GUESS) is forced with spatial information (Nomenclature of Units for Territorial Statistics (NUTS) 2 level) of land-use intensity change in the form of nitrogen (N) fertilization derived from a model chain which informed the Common Agricultural Policy Regionalized Impact (CAPRI) model. We analysed the combined role of climate change and land-use intensity change for trade-offs between agricultural yield and N leaching in the European Union under two plausible scenarios up until 2040. Furthermore, we assessed both driver importance and uncertainty in future trends based on an alternative land-use intensity dataset derived from an integrated assessment model. LPJ-GUESS simulated an increase in wheat and maize yield but also N leaching for most regions when driven by changes in land-use intensity and climate under RCP 8.5. Under RCP 4.5, N leaching is reduced in 53% of the regions while there is a trade-off in crop productivity. The most important factors influencing yield were CO2 (wheat) and climate (maize), but N application almost equaled these in importance. For N leaching, N application was the most important factor, followed by climate. Therefore, using a constant N application dataset in the absence of future projections has a substantial effect on simulated ecosystem responses, especially for maize yield and N leaching. This study is a first assessment of future N leaching and yield responses based on projections of climate and land-use intensity. It further highlights the importance of accounting for changes in future N applications and land-use intensity in general when evaluating environmental impacts over long time periods.

A grassland strategy for farming systems in Europe to mitigate GHG emissions—An integrated spatially differentiated modelling approach

This paper assesses the impact of an EU-wide policy to expand grassland areas and promote carbon sequestration in soils. We use the economic Common Agricultural Policy Regionalized Impact (CAPRI) model, which represents EU agriculture using 2450 mathematical programming farm-type models in combination with the biogeochemistry CENTURY model, which provides carbon sequestration rates at a high resolution level. Both models are linked at the NUTS3 level using location information from the Farm Accounting Data Network. We simulated a flexible grassland premium such that farmers voluntary and cost efficiently increase grassland area by 5%. We find that the GHG mitigation potential and the costs depend on carbon sequestration rates, land markets and induced land use changes, and regional agricultural production structures. In Europe, the calculated net effect of converting 2.9Mha into grassland is a reduction of 4.3 Mt CO2e (equivalents). The premium amounts to an average of EUR 238/ha, with a total cost of EUR 417 million for the whole EU. The net abatement costs are based on the premium payments, and account on average EUR 97/t CO2e. However, substantial carbon sequestration (28% of total sequestration) can be achieved at a rate of EUR 50/t CO2e. Carbon sequestration would be most effective in regions of France and Italy and in Spain, the Netherlands and Germany. Larger farms and farm-types specialized in ‘cereals and protein crops’, ‘mixed field cropping’ and ‘mixed crop-livestock’ farming systems have the highest mitigation potential at relatively low costs.

Multi-scale land-use disaggregation modelling: Concept and application to EU countries

Changes of carbon stocks in agricultural soils, emissions of greenhouse gases from agriculture, and the delivery of ecosystem services of agricultural landscapes depend on combinations of land-use, livestock density, farming practices, climate and soil types. Many environmental processes are highly non-linear. If the analysis of the environmental impact is based on data at a relatively coarse-scale (e.g. farm, country, or large administrative regions), conclusions can be misleading. For an accurate assessment of agri-environmental indicators, data of agricultural activities and their dynamics are needed at high spatial resolution. In this paper, we develop and validate a spatial model for predicting the agricultural land-use areas within the homogenous spatial units (HSUs). For the EU-28 countries, we distinguish about 1.5 × 105 HSUs and we consider 30 possible land-uses to match with the classification used in the Common Agricultural Policy Regionalized Impact (CAPRI) model. The comparison of model predictions with independent observations and with a simple rule-based approach at HSU level demonstrates that the predictions are generally accurate in more than 75 % of HSUs. The frequent crops or land-use are better predicted. For non-frequent crops and/or crops requiring specific cultivation conditions, the model needs further fine-tuning.

THE INTERNATIONAL COMPETITIVENESS OF POLISH AGRI-FOOD PRODUCTS ON THE NAFTA MARKET UNDER THE TRADE-LIBERALIZATION PROCESS

Accession to the European Union as well as the ongoing process of liberalization of global agricultural trade changed the conditions for agri-food trade between Poland and NAFTA countries. The study is an attempt to define the significance of NAFTA countries in the Polish agri-food trade, to assess the competitive position of selected Polish agri-food products on this market in years 2004-2012 and to predict its level for the year 2020, assuming two simulation scenarios: the lack of liberalization (I) and liberalization of world agricultural trade (II). A deliberately selected set of ex post indicators of competitive position as well as agricultural sector equilibrium model CAPRI (Common Agricultural Policy Regionalised Impact) were used in the paper. The analysis showed that among non-EU countries this trade bloc is one of the most important trade partners for Poland. On this foreign market mainly Polish animal products and fruits and vegetables were competitive. The results of model simulations conducted for different groups of agri-food products showed that by 2020 a favourable competitive position on the NAFTA market might be expected in meat and meat products as well as in milk and dairy products.

Economic impacts of climate change on agriculture: the AgMIP approach

The current paper investigates the long-term global impacts on crop productivity under different climate scenarios using the AgMIP approach (Agricultural Model Intercomparison and Improvement Project). The paper provides horizontal model intercomparison from 11 economic models as well as a more detailed analysis of the simulated effects from the Common Agricultural Policy Regionalized Impact (CAPRI) model to systematically compare its performance with other AgMIP models and specifically for the Chinese agriculture. CAPRI is a comparative static partial equilibrium model extensively used for medium and long-term economic and environmental policy impact applications. The results indicate that, at the global level, the climate change will cause an agricultural productivity decrease (between −2% and −15% by 2050), a food price increase (between 1.3% and 56%) and an expansion of cultivated area (between 1% and 4%) by 2050. The results for China indicate that the climate change effects tend to be smaller than the global impacts. The CAPRI-simulated effects are, in general, close to the median across all AgMIP models. Model intercomparison analyses reveal consistency in terms of direction of change to climate change but relatively strong heterogeneity in the magnitude of the effects between models.

The impact of German biogas production on European and global agricultural markets, land use and the environment

As part of its climate policy, Germany promotes the production of biogas via its so-called Renewable-Energy-Act (EEG). The resulting boost in biogas output went along with a significant increase in production of green maize, the dominant feedstock. Existing studies of the EEG have analysed its impacts on German agriculture without considering market feedback. We thus expand existing quantitative analysis by also considering impacts on European and global agricultural markets, land use and the environment by combining a detailed location model for biogas plants, the Regionalised Location Information System-Maize (ReSi-M2012), with a global Partial Equilibrium model for agriculture, the Common Agricultural Policy Regional Impact (CAPRI) model. Our results indicate that the German biogas production is large enough to have sizeable impacts on global agricultural markets in prices and quantities, causing significant land use change outside of Germany. While profits in the agricultural sector increase, food consumer face higher prices, and subsidies for biogas production are passed on to electricity consumers. The German biogas program, as long as it is almost entirely based on non-waste feedstocks, is probably not a promising avenue towards a GHG-saving renewable energy production, but a rather expensive one.

Flattening and redistribution of the CAP direct payments for the EU27 regions

 The paper presents key results regarding a possible reform of the Common Agricultural Policy direct payments, based on a scenario analysis by the CAPRI (Common Agricultural Policy Regionalized Impact) modelling system. Combining aggregate programming models at the NUTS 2 level with a global spatial multi-commodity model, it enables depicting the impacts of different policy and economic scenarios from regional to the global scale. The paper discusses simulated impacts on farm income and agricultural markets from implementing the European flat rate hectare payment corrected for the purchasing power disparities across the Member States while reducing the overall budget outlays for direct payments by 50% and dismantling the remaining coupled support to ruminants. The results are an outcome of a comparative static analysis against a reference scenario which assumes the Health Check policy in 2020. The model results suggest a drop of the agricultural gross value added by 9% at the aggregate EU27 level compared to the reference scenario. Impacts differ between the Member States groups, Member States and regions, depending on the share of premiums in the income from agriculture, specialization and competitiveness of production. The largest reduction is projected for the suckler cow herd, dropping by 6% compared to the reference scenario. The drop is caused by removing the coupled support and affecting mostly the herds in Spain and France.    

EU-wide farm type supply models in CAPRI—How to consistently disaggregate sector models into farm type models

The aim of the paper is to motivate the introduction and characterisation of an EU-wide farm type model in the CAPRI (Common Agricultural Policy Regional Impact) model, partly based on a comparison with other farm model approaches and to present the estimation approach necessary to achieve the disaggregation. The approach is based on an estimation which smoothly integrates the information from the EU-wide Farm Structure Survey (FSS) into the CAPRI model database. Example results from Denmark show that this approach outperforms simple scaling by uniform factors by endogenously taking information about the type of farming and economic size into account during the estimation.

Assessing agricultural trade policies options with the European Union: a Brazilian perspective

AbstractBrazil has shown interest in agricultural trade negotiations at bilateral, regional, and multilateral levels. This study addresses several important negotiations, using the agricultural sector model CAPRI (Common Agricultural Policy Regional Impact Analysis), to analyze liberalization scenarios between the European Union and the Mercosur countries focusing particularly on their impacts in Brazil. Four possible agreements between Europe and Mercosur are simulated, including a broader multilateral agreement proposed in the G20. The results suggest that a bilateral scenario involving larger tariff rate quota increase, as called for by Mercosur, generates larger gains than accepting the European Union proposal of 2004 or further multilateral trade liberalization based on the G20 proposal. However, much larger increases in tariff rate quotas for all products are not necessarily justified in all cases. Moreover, Brazil's production and export potential is limited by factors other than trade restrictions.

Development of marginal emission factors for N losses from agricultural soils with the DNDC–CAPRI meta-model

The article discusses marginal emission factors for N losses from agricultural soils, with rape and wheat as examples, and presents results for EU15 as high-resolution maps and aggregated to Member State level. The results are generated by linking the economic model for the agricultural sector CAPRI (Common Agricultural Policy Regional Impact) with spatial down-scaling, and a statistical meta-model for the bio-physical model DNDC (DeNitrification–DeComposition). For a given agro-economic scenario, CAPRI supplies for each crop the crop share, yield and fertilizer application rate spatially downscaled to clusters of 1 km × 1 km grid cells. The results from CAPRI are processed by a meta-model of DNDC to estimate the local greenhouse gas emissions from the soil. DNDC is a dynamic process-oriented model, which estimates trace gas fluxes and nutrient turnover in agricultural soils. The fit of the regressions is typically very good (∼0.95 R 2 for the majority of the regressions), and all coefficients are significant at 99% probability. The meta-model allows a seamless integration between the economic and the bio-physical models, offering additional benefit such as the site-specific calibration of the bio-physical model ensuring the match between simulated and observed yield at the grid-level. The meta-model is used to calculate marginal emission factors for a 1 kg ha −1 increase of mineral N and manure fertilizer rates for rape and wheat, at different levels of fertilization. They show that for Western European farming practice, only a small fraction of extra nitrogen fertilizer would go into increased yields: most of it would be emitted to the environment. The largest spatial variability is observed for N 2O emissions. The derivation of marginal emission factors is just one of the many possible uses for the linked regionalized agro-economic and soil chemistry model, which exploits to a large extent both geo-referenced and regionally available statistical information at European scale.

Linking an economic model for European agriculture with a mechanistic model to estimate nitrogen and carbon losses from arable soils in Europe

Abstract. A comprehensive assessment of policy impact on greenhouse gas (GHG) emissions from agricultural soils requires careful consideration of both socio-economic aspects and the environmental heterogeneity of the landscape. We developed a modelling framework that links the large-scale economic model for agriculture CAPRI (Common Agricultural Policy Regional Impact assessment) with the biogeochemistry model DNDC (DeNitrification DeComposition) to simulate GHG fluxes, carbon stock changes and the nitrogen budget of agricultural soils in Europe. The framework allows the ex-ante simulation of agricultural or agri-environmental policy impacts on a wide range of environmental problems such as climate change (GHG emissions), air pollution and groundwater pollution. Those environmental impacts can be analyzed in the context of economic and social indicators as calculated by the economic model. The methodology consists of four steps: (i) definition of appropriate calculation units that can be considered as homogeneous in terms of economic behaviour and environmental response; (ii) downscaling of regional agricultural statistics and farm management information from a CAPRI simulation run into the spatial calculation units; (iii) designing environmental model scenarios and model runs; and finally (iv) aggregating results for interpretation. We show the first results of the nitrogen budget in croplands in fourteen countries of the European Union and discuss possibilities to improve the detailed assessment of nitrogen and carbon fluxes from European arable soils.

Opportunities and limitations in assessing the multifunctionality of agriculture within the CAPRI model

Abstract In recent years the objectives of agricultural policy have shifted from a principal focus on production and income towards agriculture's provision of public goods summarized by the term ‘multifunctionality’. Agricultural sector models, which are important tools for policy advice, need to be adjusted in order to maintain their relevance and reliability in accordance with policy changes. This paper investigates the strengths and limitations of incorporating multifunctionality indicators in the agricultural sector model Common Agricultural Policy Regional Impact Analysis (CAPRI) by reviewing the existing literature and incorporating such indicators in the model. Multifunctionality indicators are developed and implemented for four selected aspects of multifunctionality: food security, landscape, environmental concerns and rural viability. By running different policy reform scenarios, it is shown that indicators closely related to the underlying economic variables of the sector model may provide useful to describe the effects of policy reforms on agriculture's multifunctionality. However, these indicators do not completely cover the selected aspects of multifunctionality. In order to yield a broader coverage, this paper proposes to strengthen interdisciplinary research by linking agricultural sector models with other model systems like farm-based economical–ecological models, regional economic models or landscape information systems.