Global phenological response to climate change in crop areas using satellite remote sensing of vegetation, humidity and temperature over 26 years

被引:136
作者
Brown, M. E. [1 ]
de Beurs, K. M. [2 ]
Marshall, M. [3 ]
机构
[1] NASA, Biospher Sci Branch, Goddard Space Flight Ctr, Greenbelt, MD 20171 USA
[2] Univ Oklahoma, Dept Geog & Environm Sustainabil, Norman, OK 73019 USA
[3] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA
关键词
Phenology; NDVI; Agriculture; Cereal crops; Temperature; Humidity; NET PRIMARY PRODUCTION; LAND-SURFACE PHENOLOGY; INTERANNUAL VARIABILITY; SPOT-VEGETATION; FOOD SECURITY; AVHRR; NDVI; DROUGHT; SEASON; MODIS;
D O I
10.1016/j.rse.2012.08.009
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The recent increase in food prices has revealed that climate, combined with an expanding population and a widespread change in diet, may result in an end to an era of predictable abundance of global cereal crops. The objective of this paper is to estimate changes of agriculturally-relevant growing season parameters, including the start of the season, length of the growing period and the position of the height or peak of the season, in the primary regions with rainfed agriculture during the past 26 years. Our analysis found that globally, 27% of cereal crop areas have experienced changes in the length of the growing season since 1981, the majority of which had seasons that were at least 2.3 days per year longer on average. We also found both negative and positive trends in the start of season globally, with different effects of changing temperature and humidity being isolated depending on the country and region. We investigated the correlation between the peak timing of the growing season and agricultural production statistics for rain fed agriculture. We found that two thirds of the countries investigated had at least 25% of pixels with crop production that behaved differently than expected from the null hypothesis of no correlation. The results show that variations in the peak of the growing season have a strong effect on global food production in these countries. We show that northern hemisphere countries and states appear to have improved model fit when using phenological models based on humidity while southern hemisphere countries and states have improved model fit by phenological models based on accumulated growing degree days, showing the impact of climate variability during the past two and a half decades. Published by Elsevier Inc.
引用
收藏
页码:174 / 183
页数:10
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