FACCE-JPI Knowledge Hub MACSUR Partner 65

FACCE-JPI 知识中心 MACSUR 合作伙伴 65

• 批准号: BB/K008854/1
• 负责人: Andrew Whitmore
• 金额: $ 8.37万
• 依托单位: Rothamsted Research
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FK008854%2F1
• 关键词: FACCE; JPI; Knowledge; Hub; MACSUR

FACCE MACSUR focuses on modelling European agriculture with climate change for food security. The work isorganized in three themes on crop, livestock and trade modeling. The partnership consists of 73 partners from 16 countriesall over Europe. The overarching challenge is to develop a pan-European capability in the development, use andinterpretation of models to perform risk assessments of the impacts of climate change on European agriculture. To addressthis the following challenges must be met:1. Identify and address a range of issues between models in different themes to enable their closer integration includingissues of scale and data processing.2. Train a new generation of scientists to work across models which contribute to greater integration of models. Thischallenge can be described as focusing on the creation of integrated modelers as opposed to integrated models.3. Determine the contribution that can be made to reducing uncertainty over the impacts of climate change on Europeanfood security by adopting integrated models of crop production, animal production and trade.

FACCE MACSUR的重点是模拟欧洲农业与气候变化的粮食安全。这项工作是组织在三个主题的作物，牲畜和贸易建模。该伙伴关系由来自欧洲16个国家的73个合作伙伴组成。首要的挑战是发展泛欧在开发、使用和解释模型方面的能力，以便对气候变化对欧洲农业的影响进行风险评估。为了解决这个问题，必须应对以下挑战：1.确定并解决不同主题的模型之间的一系列问题，以使其更紧密地集成，包括规模和数据处理问题.培养新一代科学家跨模型工作，这有助于更好地整合模型。这个挑战可以被描述为专注于创建集成建模器，而不是集成模型.通过采用作物生产、动物生产和贸易的综合模式，确定可以为减少气候变化对欧洲粮食安全影响的不确定性做出的贡献。

项目成果

Milled cereal straw accelerates earthworm (Lumbricus terrestris) growth more than selected organic amendments.

• DOI: 10.1016/j.apsoil.2016.12.006
• 发表时间: 2017-05
• 期刊: Applied soil ecology : a section of Agriculture, Ecosystems & Environment
• 作者: Sizmur T;Martin E;Wagner K;Parmentier E;Watts C;Whitmore AP
• 通讯作者: Whitmore AP

Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change

• DOI: 10.1016/j.agsy.2017.08.004
• 发表时间: 2018-01-01
• 期刊: AGRICULTURAL SYSTEMS
• 影响因子: 6.6
• 作者: Fronzek, Stefan;Pirttioja, Nina;Rotter, Reimund P.
• 通讯作者: Rotter, Reimund P.

Simulation of nitrous oxide emissions at field scale using the SPACSYS model.

利用 SPACSYS 模型模拟田间规模的一氧化二氮排放。

• DOI: 10.1016/j.scitotenv.2015.05.064
• 发表时间: 2015-10-15
• 期刊: The Science of the total environment
• 作者: Wu L;Rees RM;Tarsitano D;Zhang X;Jones SK;Whitmore AP
• 通讯作者: Whitmore AP

Modelling the impact of environmental changes on grassland systems with SPACSYS

使用 SPACSYS 模拟环境变化对草地系统的影响

• DOI: 10.1017/s2040470014000508
• 发表时间: 2015
• 期刊: Advances in Animal Biosciences
• 作者: Wu L

Do organic inputs matter - a meta-analysis of additional yield effects for arable crops in Europe

• DOI: 10.1007/s11104-016-3031-x
• 发表时间: 2017-02-01
• 期刊: PLANT AND SOIL
• 影响因子: 4.9
• 作者: Hijbeek, R.;van Ittersum, M. K.;Whitmore, A. P.
• 通讯作者: Whitmore, A. P.