Spatial variation of crop yield response to climate change in East Africa

被引:250
作者
Thornton, Philip K. [1 ]
Jones, Peter G. [2 ]
Alagarswamy, Gopal [3 ]
Andresen, Jeff [3 ]
机构
[1] ILRI, Nairobi 00100, Kenya
[2] Waen Associates, Dolgellau LL40 1TS, Gwynedd, Wales
[3] Michigan State Univ, Dept Geog, E Lansing, MI 48824 USA
来源
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS | 2009年 / 19卷 / 01期
基金
美国国家科学基金会;
关键词
Maize; Phaseolus bean; East Africa; Production; Impact assessment; Targeting; Development; CHANGE ADAPTATION; FOOD SECURITY; SIMULATION; MODEL; TEMPERATURE; VARIABILITY; IMPACT;
D O I
10.1016/j.gloenvcha.2008.08.005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
There is general consensus that the impacts of climate change on agriculture will add significantly to the development challenges of ensuring food security and reducing poverty, particularly in Africa. While these changes will influence agriculture at a broad scale, regional or country-level assessments can miss critical detail. We use high-resolution methods to generate characteristic daily weather data for a combination of different future emission scenarios and climate models to drive detailed simulation models of the maize and bean crops. For the East African region, there is considerable spatial and temporal variation in this crop response. We evaluate the response of maize and beans to a changing climate, as a prelude to detailed targeting of options that can help smallholder households adapt. The results argue strongly against the idea of large, spatially contiguous development domains for identifying and implementing adaptation options, particularly in regions with large variations in topography and current average temperatures. Rather, they underline the importance of localised, community-based efforts to increase local adaptive capacity, take advantage of changes that may lead to increased crop and livestock productivity where this is possible, and to buffer the situations where increased stresses are likely. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:54 / 65
页数:12
相关论文
共 54 条
[11]   GCM simulations of the Indian Ocean dipole influence on East African rainfall: Present and future [J].
Conway, D. ;
Hanson, C. E. ;
Doherty, R. ;
Persechino, A. .
GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (03)
[12]  
DONATELLI M, 1997, SERIES ISCI, V1
[13]  
FAO (Food and Agriculture Organization of the United Nations), 1995, LAND WAT DIG MED SER
[14]  
Fisher R.A., 1967, STAT TABLES BIOL AGR, V6th
[15]   Using the WISE database to parameterize soil inputs for crop simulation models [J].
Gijsman, Arjan J. ;
Thornton, Philip K. ;
Hoogenboom, Gerrit .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2007, 56 (02) :85-100
[16]   Very high resolution interpolated climate surfaces for global land areas [J].
Hijmans, RJ ;
Cameron, SE ;
Parra, JL ;
Jones, PG ;
Jarvis, A .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2005, 25 (15) :1965-1978
[17]   BEANGRO - A PROCESS-ORIENTED DRY BEAN MODEL WITH A VERSATILE USER-INTERFACE [J].
HOOGENBOOM, G ;
WHITE, JW ;
JONES, JW ;
BOOTE, KJ .
AGRONOMY JOURNAL, 1994, 86 (01) :182-190
[18]  
Huq S., 2005, Climate change and development: consultation on key researchable issues
[19]  
Hutchinson M. F., 1989, Technical Memorandum - Division of Water Resources, Institute of Natural Resources and Environment, CSIRO, P95
[20]   The DSSAT cropping system model [J].
Jones, JW ;
Hoogenboom, G ;
Porter, CH ;
Boote, KJ ;
Batchelor, WD ;
Hunt, LA ;
Wilkens, PW ;
Singh, U ;
Gijsman, AJ ;
Ritchie, JT .
EUROPEAN JOURNAL OF AGRONOMY, 2003, 18 (3-4) :235-265