Long-term scenarios for climate adaptation of cotton crops in China, considering multidimensional biophysical and socio-economic scenario analysis
文献类型: 外文期刊
作者: Guo, Simeng;Wu, Fengqi;Wang, Yuhan;Wang, Jian;Zhang, Zhenggui;Pan, Zhanlei;Chong, Chenxi;Li, Pengcheng;Huang, Weibin;Sun, Guilan;Li, Xin;Wang, Shuchen;Li, Junhong;Zhang, Yaopeng;Zhao, Wenqi;Zhai, Menghua;Gao, Lei;Liu, Liantao;Wang, Zhanbiao
作者机构:
关键词: Climate change adaptation;Sustainable production system;Crop layout;Multi-department optimization;Arable land use change;Cotton
期刊名称: JOURNAL OF CLEANER PRODUCTION
ISSN: 0959-6526
年卷期: 2026 年 540 卷
页码:
收录情况: SCIE(2025版) ; ; EI(2025版)
摘要: Climate change is fundamentally reshaping agricultural land suitability, with profound implications for water use, carbon emissions, and crop productivity. Understanding the long-term drivers of climate on the planting suitability of arable land and exploring multi-sectoral coordinated response solutions for the climate-agriculture-society system are essential for mitigating and adapting to climate change. This study develops a multidimensional framework to assess climate adaptation scenarios for cotton-one of the world's most important cash crops-in China from 1960 to 2100. Integrating species distribution modeling with socio-economic scenario analysis, we identify three key findings: (1) Historical cotton's highly suitable areas has shifted northward (+166 km) and to higher elevations (+47 m average) due to changing climate-soil-topography interactions; (2) While climatic suitability determines land potential, actual planting decisions are still mainly driven by economic returns, coordinating to local production management level; (3) Sustainable adaptation requires balancing biophysical suitability with production efficiency and circular economy practices. This study emphasizes not only the climate impact on agricultural land use changes but also reveals the synergistic mechanisms between climatic suitability, socio-economic, and production factors, that inform targeted land-use planning. Based on these findings, we recommend that future agricultural policies prioritize climate-smart land-use zoning, support adaptive infrastructure development in emerging suitable regions, and provide economic incentives to guide planting structure optimization under climate change scenarios. These insights play a crucial role in optimizing climate-smart farming structures, promoting agricultural adaptation and mitigation of climate change, and realize the sustainable and cleaner production under climate change.
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