Climate change would enlarge suitable planting areas of sugarcanes in China

نویسندگان

  • C.R. Mi Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, University of Chinese Academy of Sciences, Beijing 100101, China.
  • F. Huettmann EWHALE Lab, Department of Biology and Wildlife, Institute of Arctic Biology, University of Alaska Fairbanks (UAF), 419 Irving I, P.O. Box 757000, Fairbanks AK 99775, USA.
  • J. Li Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, University of Chinese Academy of Sciences, Beijing 100101, China.
  • L. He National Meteorological Center, Beijing 100081, China.
  • N. Jin State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China
  • Q. Zu Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, University of Chinese Academy of Sciences, Beijing 100101, China.
چکیده مقاله:

China’s sugar production and consumption continues to increase. This process is alreadyongoing for over 15 years and over 90% of the sugar production comes from sugarcane(Saccharum officinarum). Most of the sugarcane is planted in the south (e.g. the Chineseprovinces of Yunnan, Guangxi, Guangdong and Hainan) and it represents there a majoreconomic crop in these landscapes. As found virtually worldwide, climate change is generallyexpected to influence such suitable planting areas. Here we started a first empirical assessmenthow climate change would influence the spatial distribution of those current and future suitableplanting areas of this strategic crop in China. We employed an ensemble machine learningalgorithm (Random Forest; bagging) and increasingly used and robust species distributionmodels (SDMs). These are based on our compiled and best publicly available crop data sampledfrom the Chinese sugarcane industry map. They were linked with bioclimate variables fromthe Worldclim database. This powerful concept allowed us to project sugarcane’s current andfuture (2070) suitable distributions based on the climate niche. Our results were extrapolated tothree Global Circulation Models (GCMs; BCC-CSM1-1, CNRM-CM5 and MIROC-ESM)under three representative concentration pathways (RCPs of 2.6, 4.5 and 8.5). The evaluationsof these models indicated that our results had a powerful performance (AUC=0.97, TSS=0.96)for robust inference. Bioclimatic variables related to temperature were the most importantpredictors for sugarcane planting. All models showed similar increasing spatial trends insuitable distribution area and just a few original suitable areas would be lost. Our finding putsemphasize on new growing areas, their soil and management. It is the first to provide thenecessary background in the future to safely cultivate sugarcane in climate-suitable areas and toobtain more sugar production for farmers and the industry; it is of large and strategic importancefor food security and national autonomy of this central commodity.

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عنوان ژورنال

دوره 11  شماره 1

صفحات  151- 165

تاریخ انتشار 2017-01-01

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