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预测气候变化和社会经济发展下的全球小麦种植分布。

Prediction of global wheat cultivation distribution under climate change and socioeconomic development.

机构信息

Key Laboratory of Environmental Change and Natural Disaster of Chinese Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.

Key Laboratory of Environmental Change and Natural Disaster of Chinese Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.

出版信息

Sci Total Environ. 2024 Apr 1;919:170481. doi: 10.1016/j.scitotenv.2024.170481. Epub 2024 Feb 1.

Abstract

Socioeconomic and climate change are both essential factors affecting the global cultivation distributions of crops. However, the role of socioeconomic factors in the prediction of future crop cultivation distribution under climate change has been rarely explored. Motivated by revealing the future global wheat cultivation distribution that coupling socioeconomic factors and climate change, the MaxEnt-SPAM approach was proposed by the present study. Furthermore, the spatial and temporal patterns of global wheat cultivation in the near-term (2011-2040), the mid-term (2041-2070), and long-term (2071-2100) under the scenarios of RCP2.6-SSP1, RCP4.5-SSP2, and RCP8.5-SSP3 were predicted. It indicated that the predictive accuracy of the proposed approach could be over 80 %, with a significant positive correlation (p < 0.01) between the predicted global wheat cultivation and multiple known datasets. Socioeconomic development significantly altered the potential distribution of global wheat cultivation driven by climate change. Socioeconomic development seems to benefit wheat cultivation in the Southern Hemisphere especially central and east Africa, while the Northern Hemisphere may have witnessed a decline in future cultivation areas. It was noteworthy that heightened profitability stimulated interest in expanding wheat cultivation efforts within pivotal countries/regions positioned in the Southern Hemisphere. In the long-term period, the potential wheat cultivation area was reduced by 7 % under the RCP2.6-SSP1 scenario, while it expanded by 8 % and 2 % under the RCP4.5-SSP2 and RCP8.5-SSP3 scenarios, respectively. A global decline in wheat production of 16 %, 3 %, and 3 % was observed in the long-term under the RCP2.6-SSP1, RCP4.5-SSP2, and RCP8.5-SSP3 scenarios respectively. The present study emphasized the importance of integrating socioeconomic factors into crop distribution predictions under climate change. Our findings indicated significant temporal adjustments in the future global distribution of wheat cultivation and offered a comprehensive perspective on how socioeconomic factors interacted with climate change to influence global wheat cultivation.

摘要

社会经济和气候变化都是影响全球作物种植分布的重要因素。然而,社会经济因素在预测气候变化下未来作物种植分布中的作用却很少被探索。本研究提出了 MaxEnt-SPAM 方法,旨在揭示社会经济因素与气候变化耦合下未来全球小麦种植分布。此外,还预测了 RCP2.6-SSP1、RCP4.5-SSP2 和 RCP8.5-SSP3 情景下近期(2011-2040 年)、中期(2041-2070 年)和远期(2071-2100 年)全球小麦种植的时空格局。结果表明,该方法的预测精度可以超过 80%,与多个已知数据集之间存在显著的正相关关系(p<0.01)。社会经济发展显著改变了气候变化驱动的全球小麦种植的潜在分布。社会经济发展似乎有利于南半球特别是中、东非的小麦种植,而北半球未来的种植面积可能会下降。值得注意的是,在南半球关键国家/地区,更高的利润率刺激了扩大小麦种植的兴趣。在长期内,RCP2.6-SSP1 情景下潜在小麦种植面积减少了 7%,而 RCP4.5-SSP2 和 RCP8.5-SSP3 情景下分别增加了 8%和 2%。在 RCP2.6-SSP1、RCP4.5-SSP2 和 RCP8.5-SSP3 情景下,全球小麦产量分别下降了 16%、3%和 3%。本研究强调了将社会经济因素纳入气候变化下作物分布预测的重要性。研究结果表明,未来全球小麦种植分布将发生显著的时间调整,并提供了一个全面的视角,了解社会经济因素如何与气候变化相互作用,影响全球小麦种植。

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