Assessing the impact of climate change on representative field crops in Israeli agriculture: a case study of wheat and cotton

被引:14
作者
David Haim
Mordechai Shechter
Pedro Berliner
机构
[1] University of Haifa,Natural Resource & Environmental Research Center
[2] Ben-Gurion University of the Negev,Jacob Blaustein Institute for Desert Research
来源
Climatic Change | 2008年 / 86卷
关键词
Wheat Yield; Cotton Yield; Production Function Approach; Irrigate Cotton; Additional Irrigation;
D O I
暂无
中图分类号
学科分类号
摘要
Climate changes, associated with accumulation of greenhouse gases, are expected to have a profound influence on agricultural sustainability in Israel, a semi-arid area characterized by a cold wet winter and a dry warm summer. Accordingly this study explored economic aspects of agricultural production under projected climate-change scenarios by the “production function” approach, as applied to two representative crops: wheat, as the major crop grown in Israel’s dry southern region, and cotton, representing the more humid climate in the north. Adjusting outputs of the global climate model HadCM3 to the specific research locations, we generated projections for 2070–2100 temperatures and precipitations for two climate change scenarios. Results for wheat vary among climate scenarios; net revenues become negative under the severe scenario (change from −145 to −273%), but may increase under the moderate one (−43 to +35%), depending on nitrogen applied to the crop. Distribution of rain events was found to play a major role in determining yields. By contrast, under both scenarios cotton experiences a considerable decrease in yield with significant economic losses (−240 and −173% in A2 and B2 scenarios, respectively). Additional irrigation and nitrogen may reduce farming losses, unlike changes in seeding dates.
引用
收藏
页码:425 / 440
页数:15
相关论文
共 106 条
[1]
Adams RM(1990)Global climate change and U.S. agriculture Nature 345 219-224
[2]
Rosenzweig C(1995)A reassessment of the economic effects of global climate change on US agriculture Clim Change 30 147-167
[3]
Peart RM(2003)The benefits to Mexican agriculture of an El-Nino-Southern Oscillation (ENSO) early warming system Agric For Meteorol 115 183-194
[4]
Ritchie JT(1991)Wheat production in an arid environment. 1. Water use efficiency, as affected by management practices Field Crops Res 27 351-364
[5]
McCarl BA(2001)Effects of atmospheric CO Field Crops Res 73 1-34
[6]
Glyer DJ(2003) concentration on wheat yield: review of results from experiments using various approaches to control CO Clim Change 60 99-129
[7]
Curry BR(2000) concentration Clim Dyn 16 147-168
[8]
Jones JW(1998)Spatial scale effects of climate scenarios on simulated cotton production in the southeastern U.S.A. Resour Conserv Recycl 23 57-66
[9]
Boote KJ(2000)The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre Coupled Model Without Flux Adjustments Agric For Meteorol 104 85-105
[10]
Allen JH(2000)Wastewater reuse – regional and economic considerations Glob Environ Change 10 69-80