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18 September 2018 Suitability regionalization of Chinese medicinal yam under the impact of climate change simulated by CMIP5 multi-model ensemble projections
Biao Hu, Zhan Tian, Dongli Fan, Hanqing Xu, Yinghao Ji, Xiangyi Wang, Runhe Shi, Maosi Chen
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Proceedings Volume 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV; 1076718 (2018) https://doi.org/10.1117/12.2320710
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States
Abstract
Chinese yam (Dioscorea opposita Thunb.) is consumed and regarded as medicinal food in traditional Chinese herbal medicine, Chinese medicinal yam especially is one of the most important Chinese herbal medicines and its medicinal needs have been increasing in recent decades1. Furthermore, Chinese medicinal yam is susceptible to climate conditions during the growth period. Therefore, a better understanding of the suitability regionalization of Chinese medicinal yam under the impact of climate change is of both scientific and practical importance to spacial development and reasonable layout of Chinese yam in China. In this study, based on the Coupled Model Inter-comparison Project, Phase 5 (CMIP5) climate model projections with 5 Global Circulation Models (GCMs) developed by the Inter-Sectoral Impact Model Inter-comparison Project (ISIMIP) driven by 4 Representative Concentration Pathways (RCPs), we assessed the changes of potential planting area of Chinese medicinal yam between the baseline climatology of 1981-2010 and the future climatology of the 2050s (2041-2070) under the RCP 4.5 scenario by the Geographic Information System (GIS) technology. Results indicate that regions with high ecological similarity to the Geo-authentic producing areas of Chinese medicinal yam include northeastern Henan, southeastern Hebei and western Shandong, mainly distribute in the lower reaches of the Yellow River basin and other major floodplains. In the future, the climate suitability of Chinese medicinal yam in these areas will be weakened, but that will still be the main suitable planting regions.
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Biao Hu, Zhan Tian, Dongli Fan, Hanqing Xu, Yinghao Ji, Xiangyi Wang, Runhe Shi, and Maosi Chen "Suitability regionalization of Chinese medicinal yam under the impact of climate change simulated by CMIP5 multi-model ensemble projections", Proc. SPIE 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV, 1076718 (18 September 2018); https://doi.org/10.1117/12.2320710
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KEYWORDS
Climatology
Climate change
Soil science
Temperature metrology
Geographic information systems
Environmental sensing
Standards development
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