GSTDTAP  > 气候变化
DOI10.1007/s10584-018-2160-z
Crop modelling: towards locally relevant and climate-informed adaptation
Beveridge, Louise1,2; Whitfield, Stephen1; Challinor, Andy2
2018-04-01
发表期刊CLIMATIC CHANGE
ISSN0165-0009
EISSN1573-1480
出版年2018
卷号147页码:475-489
文章类型Article
语种英语
国家England
英文摘要

A gap between the potential and practical realisation of adaptation exists: adaptation strategies need to be both climate-informed and locally relevant to be viable. Place-based approaches study local and contemporary dynamics of the agricultural system, whereas climate impact modelling simulates climate-crop interactions across temporal and spatial scales. Crop-climate modelling and place-based research on adaptation were strategically reviewed and analysed to identify areas of commonality, differences, and potential learning opportunities to enhance the relevance of both disciplines through interdisciplinary approaches. Crop-modelling studies have projected a 7-15% mean yield change with adaptation compared to a non-adaptation baseline (Nature Climate Change 4:1-5, 2014). Of the 17 types of adaptation strategy identified in this study as place-based adaptations occurring within Central America, only five were represented in crop-climate modelling literature, and these were as follows: fertiliser, irrigation, change in planting date, change in cultivar and area cultivated. The breath and agency of real-life adaptation compared to its representation in modelling studies is a source of error in climate impact simulations. Conversely, adaptation research that omits assessment of future climate variability and impact does not enable to provide sustainable adaptation strategies to local communities so risk maladaptation. Integrated and participatory methods can identify and reduce these sources of uncertainty, for example, stakeholder's engagement can identify locally relevant adaptation pathways. We propose a research agenda that uses methodological approaches from both the modelling and place-based approaches to work towards climate-informed locally relevant adaptation.


领域气候变化
收录类别SCI-E ; SSCI
WOS记录号WOS:000428427200008
WOS关键词ADAPTIVE CAPACITY ; FARMING SYSTEMS ; FARMERS ; ENVIRONMENT ; MAIZE ; RISKS ; UNCERTAINTIES ; VARIABILITY ; RESILIENCE ; KNOWLEDGE
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/30326
专题气候变化
作者单位1.Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds, W Yorkshire, England;
2.Univ Leeds, Inst Climate & Atmospher Sci, Sch Earth & Environm, Leeds, W Yorkshire, England
推荐引用方式
GB/T 7714
Beveridge, Louise,Whitfield, Stephen,Challinor, Andy. Crop modelling: towards locally relevant and climate-informed adaptation[J]. CLIMATIC CHANGE,2018,147:475-489.
APA Beveridge, Louise,Whitfield, Stephen,&Challinor, Andy.(2018).Crop modelling: towards locally relevant and climate-informed adaptation.CLIMATIC CHANGE,147,475-489.
MLA Beveridge, Louise,et al."Crop modelling: towards locally relevant and climate-informed adaptation".CLIMATIC CHANGE 147(2018):475-489.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Beveridge, Louise]的文章
[Whitfield, Stephen]的文章
[Challinor, Andy]的文章
百度学术
百度学术中相似的文章
[Beveridge, Louise]的文章
[Whitfield, Stephen]的文章
[Challinor, Andy]的文章
必应学术
必应学术中相似的文章
[Beveridge, Louise]的文章
[Whitfield, Stephen]的文章
[Challinor, Andy]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。