环境科学
气候变化
农业
全球变暖
温室气体
土地利用
农用地
气候模式
农林复合经营
自然地理学
地理
生态学
生物
考古
作者
Florian Zabel,Birgitta Putzenlechner,Wolfram Mauser
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2014-09-17
卷期号:9 (9): e107522-e107522
被引量:403
标识
DOI:10.1371/journal.pone.0107522
摘要
Changing natural conditions determine the land's suitability for agriculture. The growing demand for food, feed, fiber and bioenergy increases pressure on land and causes trade-offs between different uses of land and ecosystem services. Accordingly, an inventory is required on the changing potentially suitable areas for agriculture under changing climate conditions. We applied a fuzzy logic approach to compute global agricultural suitability to grow the 16 most important food and energy crops according to the climatic, soil and topographic conditions at a spatial resolution of 30 arc seconds. We present our results for current climate conditions (1981-2010), considering today's irrigated areas and separately investigate the suitability of densely forested as well as protected areas, in order to investigate their potentials for agriculture. The impact of climate change under SRES A1B conditions, as simulated by the global climate model ECHAM5, on agricultural suitability is shown by comparing the time-period 2071-2100 with 1981-2010. Our results show that climate change will expand suitable cropland by additionally 5.6 million km2, particularly in the Northern high latitudes (mainly in Canada, China and Russia). Most sensitive regions with decreasing suitability are found in the Global South, mainly in tropical regions, where also the suitability for multiple cropping decreases.
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