Lu Ke, He Yi-Ming, Mao Wei, DU Zhong-Yu, Wang Li-Jun, Liu Guo-Min, Feng Wen-Jia, Duan Yi-Zhong
Shaanxi Key Laboratory of Ecological Restoration in Northern Shaanxi Mining Area, Yulin University, Yulin 719000, Shaanxi, China.
Yulin Municipal Health Commission, Yulin 719000, Shaanxi, China.
Ying Yong Sheng Tai Xue Bao. 2020 Nov;31(11):3758-3766. doi: 10.13287/j.1001-9332.202011.017.
is a forerunner species of wind-break and sand-fixation in desert steppe in China, which plays an important role in ecosystem restoration and reconstruction. How-ever, it could influence human health. Based on 89 valid data of current distribution of in China and 19 typical climatic factors, the MaxEnt model was used to simulate the potential distribution of in China under current and two scenarios (RCP 4.5 and RCP 8.5; 2050s and 2070s). The SDM toolbox of ArcGIS software was used to analyze the potential distribution range of and its changes in China. The importance of key climatic factors was evaluated by comprehensive contribution rate, Jackknife method, and response curve of environmental variables. The accuracy of model was tested and evaluated by area under the curve (AUC) of the test subject working characteristic (ROC). The results showed that the MaxEnt model worked well (AUC=0.980). which predicted that was mainly concentrated in and around Mu Us Sandy Land, consistent with the current actual distribution range. The distribution area of of potential high fitness under the future two scenarios decreased by 5.2%-26.8%, which was negatively affected by future climate change. Seasonal variation of temperature, mean precipitation in the coldest season, and mean annual temperature had the greatest impact. The core area of future potential distribution of in China was located in Mu Us Sandy Land, with a tendency for spreading to northeast (Jilin, Heilongjiang, Liaoning and some parts of Hebei).
是中国荒漠草原防风固沙的先锋物种,在生态系统恢复与重建中发挥着重要作用。然而,它可能会影响人类健康。基于中国境内89条有效的当前分布数据和19个典型气候因子,运用最大熵模型(MaxEnt)模拟了在中国当前以及两种情景(代表性浓度路径4.5和代表性浓度路径8.5;2050年代和2070年代)下的潜在分布。利用ArcGIS软件的SDM工具箱分析了在中国的潜在分布范围及其变化情况。通过综合贡献率、刀切法和环境变量响应曲线评估关键气候因子的重要性。通过测试对象工作特征曲线(ROC)的曲线下面积(AUC)对模型的准确性进行测试和评估。结果表明,最大熵模型效果良好(AUC = 0.980),预测主要集中在毛乌素沙地及其周边地区,与当前实际分布范围一致。未来两种情景下潜在高适生区的分布面积减少了5.2% - 26.8%,受到未来气候变化的负面影响。温度的季节变化、最冷月平均降水量和年平均温度的影响最大。中国未来潜在分布的核心区域位于毛乌素沙地,有向东北方向(吉林、黑龙江、辽宁以及河北部分地区)扩展的趋势。