FACCE ERA-NET+ Climate Change Adaptability of cropping and Farming systems for Europe (Climate-CAFÉ)

climate - cafe项目的重点是提高耕地和饲料作物对气候变化的“适应能力”。我们将采用跨学科方法，沿着欧盟南北气候梯度评估传统的和更新颖的区域适应和减缓战略，并提出适应气候变化的新农业系统设计。评估包括在IPCC 2050年和2100年情景中使用不同尺度和指标的战略之间的协同效应和权衡。将利用来自实验和专家知识（顾问和农民）的现有数据的综合，为选择适应试点提出适应措施，这些试点基于位于联盟国家的具有代表性的区域种植和耕作系统。这些试点将被定义并用于设计和评估基于多标准经济和环境分析的适应战略。拟议的适应战略将侧重于通过生态集约化改善土壤和水管理，包括新品种、新轮作、替代耕作方案以及豆类和间作，以增强土壤-作物系统的缓冲能力，并利用生物经济中新兴的价值链。将使用STICS和DAYCENT模型来模拟种植系统级别的情景（地块规模和轮作持续时间）。现有的长期实验，包括FACE和Ecotron特定的实验，将用于分析预测的质量，必要时将改进模型以适应新的过程（例如，在STICS中引入O3效应）。在短期/中期，将在RECORD建模和软件平台上运行STICS土壤-作物模型，进行多次模拟，以测试拟议的CC适应措施的潜在效率，以保持作物生产而不降低环境影响。此外，DAYCENT土壤模型将用于评估适应措施对土壤固碳和温室气体（CO2、N2O和CH4）排放的长期影响。Modam和农场设计模型将用于评估CC适应措施对农场经济和环境绩效的影响。此外，考虑到农业食品链组织和气候条件的区域约束，农场设计模型将用于在超级农场层面评估这些结果。气候- cafe项目的预期结果是：i)根据农业限制概述潜在的气候变化适应措施，ii)模拟适应措施及其效率和成本排名，iii)模拟IPCC情景2050和2100与适应措施相互作用对欧洲农业生产的影响，考虑到代表欧洲南北气候梯度的广泛欧盟国家。

The Climate-CAFE project focuses on increasing the "adaptive capacity" of arable and forage crops to climate change (CC). We will use an interdisciplinary approach to evaluate traditional and more novel regional adaptation and mitigation strategies along a North-South climate gradient in the EU and propose new farming system designs for adaptation to CC. The evaluation includes synergies and trade-offs between strategies using different scales and indicators for IPCC scenarios in 2050 and 2100. Synthesis of existing data from experimentation and expert knowledge (advisors and farmers) will be used to propose adaptation measures for a selection of Adaptation Pilots based on representative regional cropping and farming systems located in consortium countries. These pilots will be defined and used to design and evaluate adaptation strategies based on multicriteria economic and environmental analyses. The proposed adaptation strategies will focus on improved soil and water management via ecological intensification, including new cultivars, novel rotations, alternative tillage options, and the inclusion of legumes and intercrops, to enhance the buffering capacity of the soil-crop system and capitalize on emerging value chains in the bio-economy. The STICS and DAYCENT models will be used to simulate scenarios at the cropping system level (plot scale and rotationduration). Existing long-term experiments, including FACE and Ecotron specific experiments will be used for analyzing the quality of predictions and where necessarymodels will be improved to accommodate new processes (e.g. introduction of O3 effects in STICS). Over the short / medium term, the STICS soil-crop model will be run on the RECORD modelling and software platform to make multiple simulations for testing thepotential efficiency of proposed CC adaptation measures for maintaining crop production without degrading environmental impacts. In addition, the DAYCENT soil model will be used to evaluate the long-term impact of adaptation measures on soil carbon sequestration and greenhouse gas emissions (CO2, N2O, and CH4). The Modam and Farm-design models will be used to assess the impact of CC adaptation measures on thefarms' economic and environmental performances. In addition, the Farm-design model will be applied to evaluate these outcomes at the supra-farm level, considering the regional constraints of agri-food chain organization and pedoclimatic conditions. The expected results of the Climate-CAFE project are: i) an overview of potential CC adaptation measures in accordance with farm constraints, ii) simulation of adaptation measures and their ranking in terms of efficiency and costs, iii) simulation of the impact of IPCC scenarios 2050 and 2100 in interaction with adaptation measures on European agriculture production, considering a wide range of EU countries representing a North-South climategradient in Europe.