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多家欧洲研究机构的合作伙伴组成，他们以三个专注于农作物，牲畜和贸易建模的主题工作。知识中心将使用网络和交流来进一步促进欧洲农业研究能力，以建模气候变化对农业和粮食安全的影响。将在欧洲和区域案例研究水平上为农业和粮食安全开发最新的气候变化风险评估。 MacSUR2将建立在MacSUR1中通过网络建立的牢固联系，以解决以下核心目标：1。欧洲农业研究能力的进一步发展，使用网络和交流将建模组结合在一起，并更有效地将建模者与实验研究人员联系起来。2。为了保持对气候对农业和粮食安全的影响的最新结果，直到2050年3月，与选定的全球社会经济和气候场景保持一致。为了开发新的欧洲范围内最先进的气候变化风险评估，以评估农业和粮食安全4。为了建立MacSUR1的工作，以扩展和开发“综合建模者”能够在建模学科上工作的培训，并提供对建模成果的综合相关者的综合解释。5。开发其他区域综合案例研究，以解决特定地区的气候和社会经济影响，需求以及适应和缓解的机会。 6。为了继续与包括决策者和农业食品链代表在内的利益相关者互动，以确保建模方法的相关性和影响与知识枢纽的科学卓越性的相关性和影响，MacSUR2将在更大程度上解决政策制定者的利益，尤其是农民链，尤其是农民。

项目成果

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

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

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

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

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