Recent Patterns of Exposure, Sensitivity, and Adaptive Capacity of Selected Crops in Cameroon

被引:6
作者
Epule, Terence Epule [1 ,2 ]
机构
[1] Mohammed VI Polytech Univ UM6P, Int Water Res Inst IWRI, Lot 660, Hay Moulay Rachid 43150, Benguerir, Morocco
[2] McGill Univ, Dept Geog, 805 Sherbrooke St W,Burnside Hall 416, Montreal, PQ H3A 0B9, Canada
来源
AGRICULTURE-BASEL | 2021年 / 11卷 / 06期
关键词
patterns; sensitivity; exposure; adaptive capacity; vulnerability; precipitation maize; crop yields; SUB-SAHARAN AFRICA; CLIMATE-CHANGE; VULNERABILITY; YIELD; VARIABILITY; RESILIENCE; POVERTY; DROUGHT; SYSTEM; TRENDS;
D O I
10.3390/agriculture11060550
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
In most parts of sub-Saharan Africa, precipitation is impacted by climate change. In some countries like Cameroon, it is still not clear how maize, millet and rice will respond to changes in growing season precipitation. This work examines the exposure, sensitivity, and adaptive capacity of the above crops to droughts at both the national and sub-national scale. Crop yield data were culled from FAOSTAT while growing season precipitation data were culled from the database of UNDP/Oxford University and the climate portal of the World Bank. Adaptive capacity proxies (literacy, and poverty rate) were collected from KNOEMA and the African Development Bank. The analysis was performed using the vulnerability index equation. Nationally, millet has the lowest vulnerability and rice has the highest. At the sub-national scale, northern maize has the highest vulnerability followed by western highland rice. It is observed that when scales change, the crops that are vulnerable also change. However, at both levels vulnerability has an inverse relationship with adaptive capacity.
引用
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页数:19
相关论文
共 61 条
[1]  
Adger WN., 2004, New indicators of vulnerability and adaptive capacity, P1
[2]  
African Development Bank Group (AfDB), 2020, CAM EC OUTL
[3]   Farmers' vulnerability to global change in Navarre, Spain: large-scale irrigation as maladaptation [J].
Albizua, Amaia ;
Corbera, Esteve ;
Pascual, Unai .
REGIONAL ENVIRONMENTAL CHANGE, 2019, 19 (04) :1147-1158
[4]  
[Anonymous], 2007, Working Group II Contribution to the Intergovernmental Panel on Climate Change Fourth Assessment Report, V1, P976, DOI DOI 10.2134/JEQ2008.0015BR
[5]   Mapping the vulnerability of crop production to drought in Ghana using rainfall, yield and socioeconomic data [J].
Antwi-Agyei, Philip ;
Fraser, Evan D. G. ;
Dougill, Andrew J. ;
Stringer, Lindsay C. ;
Simelton, Elisabeth .
APPLIED GEOGRAPHY, 2012, 32 (02) :324-334
[6]   An investigation of the spatial determinants of the local prevalence of poverty in rural Malawi [J].
Benson, T ;
Chamberlin, J ;
Rhinehart, I .
FOOD POLICY, 2005, 30 (5-6) :532-550
[7]   Towards the development of adaptation options using climate and crop yield forecasting at seasonal to multi-decadal timescales [J].
Challinor, Andrew .
ENVIRONMENTAL SCIENCE & POLICY, 2009, 12 (04) :453-465
[8]   Increased crop failure due to climate change: assessing adaptation options using models and socio-economic data for wheat in China [J].
Challinor, Andrew J. ;
Simelton, Elisabeth S. ;
Fraser, Evan D. G. ;
Hemming, Debbie ;
Collins, Mathew .
ENVIRONMENTAL RESEARCH LETTERS, 2010, 5 (03)
[9]  
Chen C., 2015, University of Notre Dame Global Adaptation Index
[10]   Coping better with current climatic variability in the rain-fed farming systems of sub-Saharan Africa: An essential first step in adapting to future climate change? [J].
Cooper, P. J. M. ;
Dimes, J. ;
Rao, K. P. C. ;
Shapiro, B. ;
Shiferaw, B. ;
Twomlow, S. .
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2008, 126 (1-2) :24-35