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作 者:徐亚兰 杨智敏 卢盛俊 周帆 周彭晨 王斌[1] XU Yalan;YANG Zhimin;LU Shengjun;ZHOU Fan;ZHOU Pengchen;WANG Bin(College of Life Sciences,Hunan Normal University,Changsha 410081,Hunan,China)
机构地区:[1]湖南师范大学生命科学学院,中国湖南长沙410081
出 处:《生命科学研究》2024年第3期267-273,共7页Life Science Research
基 金:2024年中央财政提前批国家重点野生动植物保护项目。
摘 要:湖南省是白颈长尾雉(Syrmaticus ellioti)的主要栖息地之一,分析其潜在适生区对该物种保护具有现实指导意义。本研究综合考虑地形、水源、气候、植被、土地类型以及人为干扰等多项因子,结合有效的白颈长尾雉分布点,利用最大熵(maximum entropy, Maxent)模型预测湖南省白颈长尾雉的适宜栖息地。结果显示, Maxent模型10次重复运行训练集的平均曲线下面积(area under the curve, AUC)值为0.964,预测结果优秀;到县道距离(dis_x)、最暖季度降水量(bio18)、到混交林距离(dis_mxf)和平均气温日较差(bio2)是影响白颈长尾雉适宜栖息地分布的主要因子,到稀树草原距离(dis_sav)、海拔(altitude)和到荒地距离(dis_bar)对其分布的影响也较大,其余因子具有一定影响但并不显著;白颈长尾雉适生区面积为4.76×10^(4)km^(2),主要位于湘西、湘南的山地,但适宜栖息地破碎化程度较高,整体较为分散。Hunan Province is one of the main habitats of Syrmaticus ellioti,and analysis of its potential habitat suitability is of great significance for conservation of the species.Herein,the maximum entropy(Maxent)model was used to predict the habitat suitability of S.ellioti in Hunan Province,taking into account many factors such as topography,water source,climate,vegetation,land type and human disturbance,combined with its effective distribution points.The results showed that the average area under the curve(AUC)value of the training set of Maxent model was 0.964 for ten repeated runs,indicating that the prediction result was excellent.Distance to the county road(dis_x),precipitation of warmest quarter(bio18),distance to mixed forest(dis_mxf)and mean diurnal range(bio2)were the main factors affecting the distribution of suitable habitats for S.ellioti,and distance to savannas(dis_sav),altitude and distance to barren(dis_bar)also had great effects on its distribution.The effects of other factors were not significant.The suitable habitat area of S.ellioti was 4.76×10^(4)km^(2),which was mainly located in the mountainous areas of western and southern Hunan Province,but the suitable habitat was fragmented and scattered.
关 键 词:最大熵(Maxent)模型 白颈长尾雉 湖南省 适宜栖息地
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