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[气候变化下疏叶骆驼刺潜在地理分布预测]

[Predictions of potential geographical distribution of Alhagi sparsifolia under climate change].

作者信息

Yang Xia, Zheng Jiang-Hua, Mu Chen, Lin Jun

机构信息

College of Resources & Environment Science, Xinjiang University, Urumqi 830046, China.

Xinjiang Education Ministry Key Laboratory of City Inteligenlizing and Environment Modeling, Urumqi 830046, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2017 Feb;42(3):450-455. doi: 10.19540/j.cnki.cjcmm.20170103.004.

Abstract

Specific information on geographic distribution of a species is important for its conservation. This study was conducted to determine the potential geographic distribution of Alhagi sparsifolia, which is a plant used in traditional Uighur medicine, and predict how climate change would affect its geographic range. The potential geographic distribution of A. sparsifolia under the current conditions in China was simulated with MaxEnt software based on species presence data at 42 locations and 19 climatic variables. The future distributions of A. sparsifolia were also projected in 2050 and 2070 under the climate change scenarios of RCP2.6 and RCP8.5 described in 5th Assessment Report of the Intergovernmental Panel on Climate Change (IPCC).The result showed that mean temperature of the coldest quarter, annual mean temperature, precipitation of the coldest quarter, annual precipitation, precipitation of the wettest month, mean temperature of the wettest quarter and the temperature annual range were the seven climatic factors influencing the geographic distribution of A. sparsifolia under current climate, the suitable habitats are mainly located in the Xinjiang, in the middle and north of Gansu, in the west of Neimeng, in the north of Nei Monggol. From 2050 to 2070, the model simulations indicated that the suitable habitats of A. sparsifolia would decrease under the climate change scenarios of RCP2.6 and scenarios of RCP8.5 on the whole.

摘要

物种地理分布的具体信息对其保护至关重要。本研究旨在确定传统维吾尔医学中使用的植物骆驼刺的潜在地理分布,并预测气候变化将如何影响其地理范围。基于42个地点的物种存在数据和19个气候变量,使用MaxEnt软件模拟了中国当前条件下骆驼刺的潜在地理分布。在政府间气候变化专门委员会(IPCC)第五次评估报告中描述的RCP2.6和RCP8.5气候变化情景下,还预测了2050年和2070年骆驼刺的未来分布。结果表明,最冷月平均温度、年平均温度、最冷月降水量、年降水量、最湿月降水量、最湿季平均温度和温度年较差是当前气候条件下影响骆驼刺地理分布的七个气候因子,适宜生境主要位于新疆、甘肃中部和北部、内蒙古西部、内蒙古北部。从2050年到2070年,模型模拟表明,在RCP2.6和RCP8.5气候变化情景下,骆驼刺的适宜生境总体上会减少。

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