A deep-understanding framework and assessment indicator system for climate-resilient agriculture
文献类型：期刊论文
| 作者 | Zong, Xuezheng2,3; Liu, Xiaojie3; Chen, Gang1; Yin, Yunhe3 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2022-03-01 |
| 卷号 | 136页码:10 |
| 关键词 | Climate change Climate-resilient agriculture Deep-understanding framework Agricultural adaptability Agricultural sustainable development |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2022.108597 |
| 通讯作者 | Yin, Yunhe(yinyh@igsnrr.ac.cn) |
| 英文摘要 | Climate change threatens agricultural production and leads to an increasing contradiction between food supply and needs. Greenhouse gas (GHG) emissions from agricultural activities will exacerbate climate change in the future. Solving food security has become a major challenge around the world. The development of climate resilient agriculture (CRA) is critical to address or slow climate change and is also helpful to improve agricultural quality and efficiency. Based on a review of previous studies and a deep understanding of CRA goals, this paper introduced a comprehensive assessment framework to evaluate CRA. This assessment framework combined four dimensions, i.e., agricultural productivity, farmer income, climate adaptability, and the green development level, and has 71 evaluation indicators. The highlights of this framework are to analyze the impacts of climate change on agricultural development and to stress the synergy of mitigation and adaptation strategies. All indicators represent various factors related to the development of CRA and have been used in previous studies. Therefore, the comprehensive assessment framework can be used as an evaluation tool for analyzing the changes in agroecosystem resilience under climate change, which is also helpful to implement scientific management to ensure sustainable agricultural development and food security. |
| WOS关键词 | GREENHOUSE-GAS EMISSIONS ; SUSTAINABILITY ; IMPACTS ; CROPS ; COPE |
| 资助项目 | Key Program of National Natural Science Foundation of China[41831174] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA28130500] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20020202] |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000761394300002 |
| 出版者 | ELSEVIER |
| 资助机构 | Key Program of National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/172428]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yin, Yunhe |
| 作者单位 | 1.Minist Ecol & Environm, Environm Dev Ctr, Beijing 100029, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zong, Xuezheng,Liu, Xiaojie,Chen, Gang,et al. A deep-understanding framework and assessment indicator system for climate-resilient agriculture[J]. ECOLOGICAL INDICATORS,2022,136:10. |
| APA | Zong, Xuezheng,Liu, Xiaojie,Chen, Gang,&Yin, Yunhe.(2022).A deep-understanding framework and assessment indicator system for climate-resilient agriculture.ECOLOGICAL INDICATORS,136,10. |
| MLA | Zong, Xuezheng,et al."A deep-understanding framework and assessment indicator system for climate-resilient agriculture".ECOLOGICAL INDICATORS 136(2022):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。