Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/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 |
ISSN | 0165-0009 |
EISSN | 1573-1480 |
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. |
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