FACCE-JPI Knowledge Hub: MACSUR-Partner 117

FACCE-JPI 知识中心：MACSUR-合作伙伴 117

• 批准号: BB/N004922/1
• 负责人: Peter Smith
• 金额: $ 6.79万
• 依托单位: University of Aberdeen
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FN004922%2F1
• 关键词: FACCE; JPI; Knowledge; Hub; MACSUR

FACCE MACSUR2 is made up of partners from over 70 European research institutes, working in three themes focused on crop, livestock and trade modelling. The knowledge hub will use networking and exchanges to further advance European agricultural research capacity in modelling the impacts of climate change on agriculture and food security. State-of-the-art climate change risk assessments will be developed for farming and food security at European and regional case study levels. MACSUR2 will build upon the strong links established by networking in MACSUR1 to address the following core objectives: 1. Further advancement of European agricultural research capacity, using networking and exchanges to bring together modelling groups and to link modellers more effectively with experimental researchers.2. To maintain up-to-date results on climate impacts on agriculture and food security in line with selected core global socioeconomic and climate scenarios until 2050.3. To develop a new state-of-the art Europe-wide climate change risk assessment for farming and food security4. To build on the work of MACSUR1 in extending and developing training for 'integrated modellers' able to work across modelling disciplines and to provide integrated, stakeholder-relevant interpretations of modelling outcomes.5. To develop additional regional integrated case studies for addressing region-specific climate and socioeconomic impacts, needs and chances for adaptation and mitigation. 6. To continue to engage with stakeholders including policy-makers and agro-food-chain representatives to ensure the relevance and impact of modelling approaches and outputsGiven the scientific excellence of the Knowledge Hub, MACSUR2 will address to a greater extent on the interests of policymakers and the agro-food chain, especially farmers.

FACCE MACSUR2由来自70多个欧洲研究机构的合作伙伴组成，致力于作物，牲畜和贸易建模三个主题。知识中心将利用网络和交流，进一步提高欧洲在模拟气候变化对农业和粮食安全影响方面的农业研究能力。将在欧洲和区域案例研究层面为农业和粮食安全制定最先进的气候变化风险评估。MACSUR2将建立在MACSUR1建立网络所建立的强大联系的基础上，以实现以下核心目标：进一步提高欧洲的农业研究能力，利用网络和交流，将建模小组聚集在一起，并将建模人员与实验研究人员更有效地联系起来。根据选定的全球社会经济和气候核心情景，保持气候对农业和粮食安全影响的最新结果，直至2050年。为农业和粮食安全开发一个新的最先进的全欧洲气候变化风险评估4。在MACSUR 1工作的基础上，扩大和发展对能够跨建模学科工作的“综合建模人员”的培训，并对建模结果提供与专家相关的综合解释。编制更多的区域综合案例研究，以处理具体区域的气候和社会经济影响、适应和缓解的需求和机会。6.继续与包括政策制定者和农业食品链代表在内的利益攸关方接触，以确保建模方法和产出的相关性和影响力。

项目成果

Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands

• DOI: 10.1016/j.eja.2016.06.005
• 发表时间: 2017-08
• 期刊: European Journal of Agronomy
• 影响因子: 5.2
• 作者: M. Kuhnert;J. Yeluripati;Pete Smith;H. Hoffmann;M. Oijen;J. Constantin;E. Coucheney;R. Dechow;H. Eckersten;T. Gaiser;B. Grosz;E. Haas;K. Kersebaum;R. Kiese;S. Klatt;E. Lewan;C. Nendel;H. Raynal;C. Sosa;X. Specka;E. Teixeira;E. Wang;L. Weihermüller;Gang Zhao;Zhigan Zhao;S. Ogle;F. Ewert

Management and spatial resolution effects on yield and water balance at regional scale in crop models

• DOI: 10.1016/j.agrformet.2019.05.013
• 发表时间: 2019-09
• 期刊: Agricultural and Forest Meteorology
• 影响因子: 6.2
• 作者: J. Constantin;H. Raynal;É. Casellas;H. Hoffmann;M. Bindi;L. Doro;H. Eckersten;T. Gaiser;B. Grosz;E. Haas;K. Kersebaum;S. Klatt;M. Kuhnert;E. Lewan;G. R. Maharjan;M. Moriondo;C. Nendel;P. Roggero;X. Specka;G. Trombi;A. Villa;E. Wang;L. Weihermüller;J. Yeluripati;Zhigan Zhao;F. Ewert;J. Bergez

Variability of effects of spatial climate data aggregation on regional yield simulation by crop models

• DOI: 10.3354/cr01326
• 发表时间: 2015-09
• 期刊: Climate Research
• 影响因子: 1.1
• 作者: H. Hoffmann;Gang Zhao;L. V. Bussel;Andreas Enders;X. Specka;C. Sosa;J. Yeluripati;F. Tao;J. Constantin;H. Raynal;E. Teixeira;B. Grosz;L. Doro;Zhigan Zhao;E. Wang;C. Nendel;K. Kersebaum;E. Haas;R. Kiese;S. Klatt;H. Eckersten;E. Vanuytrecht;M. Kuhnert;E. Lewan;R. Rötter;P. Roggero;D. Wallach;D. Cammarano;S. Asseng;Gunther Krauss;S. Siebert;T. Gaiser;F. Ewert

The implication of input data aggregation on up-scaling soil organic carbon changes

• DOI: 10.1016/j.envsoft.2017.06.046
• 发表时间: 2017-10-01
• 期刊: ENVIRONMENTAL MODELLING & SOFTWARE
• 影响因子: 4.9
• 作者: Grosz, Balazs;Dechow, Rene;Ewert, Frank
• 通讯作者: Ewert, Frank

Using agent-based modelling to simulate social-ecological systems across scales

使用基于代理的建模来模拟跨尺度的社会生态系统

• DOI: 10.1007/s10707-018-00337-8
• 发表时间: 2019
• 期刊: GeoInformatica
• 影响因子: 2
• 作者: Lippe M