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基于MaxEnt模型的怒江金丝猴潜在适生区预测
引用本文:肖祺,刘成,徐梦珍,周雄冬.基于MaxEnt模型的怒江金丝猴潜在适生区预测[J].中国水利水电科学研究院学报,2022,20(6):557-564.
作者姓名:肖祺  刘成  徐梦珍  周雄冬
作者单位:中国水利水电科学研究院, 北京 100038;中国水利水电科学研究院, 北京 100038;国际泥沙研究培训中心, 北京 100048;清华大学 土木水利学院, 北京 100084
基金项目:国家自然科学基金项目(41790403,51639005);第二次青藏高原综合科学考察项目(2019QZKK0903);中国长江三峡集团有限公司科研项目(SXXZ10315)
摘    要:怒江金丝猴是最新发现的世界上第五种金丝猴,种群数量极少,为我国一级重点保护野生动物。为探究怒江金丝猴的适生状况,基于怒江金丝猴的现代地理分布使用MaxEnt模型预测其现代及未来气候条件下的潜在适生分布区,并使用ENMeval数据包对参数进行调整,采用受试者工作特征曲线和刀切法对预测结果进行检验。研究结果表明:在最优参数下,MaxEnt模型在预测怒江金丝猴的适生区时表现良好,AUC值达到0.9995。温度变化系数、最冷季度平均温度、最冷季度降水量和归一化植被指数是影响怒江金丝猴适生区分布的主导变量。现代气候条件下,怒江金丝猴的高适生区集中于怒江两岸的高黎贡山与怒山,面积为6207 km2;未来气候条件下,伴随全球变暖,怒江金丝猴在中国西南部的适生区向外扩散延伸至金沙江,各类型适生区面积均有所增加。

关 键 词:怒江金丝猴  MaxEnt模型  潜在适生区  生态位模型  气候变化
收稿时间:2022/4/22 0:00:00

Prediction of potential suitable area of Rhinopithecus strykeri based on MaxEnt model
XIAO Qi,LIU Cheng,XU Mengzhen,ZHOU Xiongdong.Prediction of potential suitable area of Rhinopithecus strykeri based on MaxEnt model[J].Journal of China Institute of Water Resources and Hydropower Research,2022,20(6):557-564.
Authors:XIAO Qi  LIU Cheng  XU Mengzhen  ZHOU Xiongdong
Affiliation:China Institute of Water Resources and Hydropower Research, Beijing 100038, China;China Institute of Water Resources and Hydropower Research, Beijing 100038, China;International Research and Training Center on Erosion and Sedimentation, Beijing 100048, China;School of Civil Engineering, Tsinghua University, Beijing 100084, China
Abstract:Rhinopithecus strykeri is the latest discovered fifth species of Rhinopithecus in the world.In order to explore the fitness of R.strykeri, based on the modern geographical distribution of R.strykeri, MaxEnt model is used to predict its potential suitable distribution area under modern and future climate conditions.The parameters are adjusted by ENMeval data package, and the prediction results are tested by receiver operating characteristic curve and Jackknife method.The results show that under the optimal parameter, MaxEnt model performs well with AUC value reaching 0.9995.Temperature seasonality, mean temperature of coldest quarter, precipitation of coldest quarter and normalized difference vegetation index are the dominant variables.The modern high suitability area of R.strykeri is concentrated in Gaoligong Mountain and Nu Mountain on both sides of the Nujiang River.Under the future climate conditions, with the increase of temperature, R.strykeri will spread outward in the suitable areas in Southwest China to the Jinsha River, and all types of suitable areas will increase.
Keywords:Rhinopithecus strykeri  MaxEnt model  potential suitable habitat  Niche models  climate change
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