首页> 中文期刊> 《四川动物 》 >基于MaxEnt模型的四川小寨子沟国家级自然保护区大熊猫化学通讯位点适宜性评价

基于MaxEnt模型的四川小寨子沟国家级自然保护区大熊猫化学通讯位点适宜性评价

             

摘要

Habitat prediction is the basis for the protection of wild animal.In this study,Maximum Entropy Modeling was applied to the wild giant panda's olfactory communication locations habitat suitability evaluation in Xiaozhaizigou National Nature Reserve,Sichuan.A total of 33 sites were investigated in March and October,2016.A predictive habitat distribution map of giant pandas olfactory communication sites was estimated using these recorded points and proper environment variables of giant panda's living condition,such as topographic data and human disturbance data.The cumulative contribution rates of bamboo distribution (56.90%) and ridge distance (29.90%) are 86.80%,which are the major ecological factors that affect the chemical communication of giant panda in this region.Olfactory communication locations are primarily located along the bamboo forest and ridges.The habitat is divided into 2 classes including the suitable and unsuitable habitat using a threshold of 0.061 5.The suitable habitat area is 15 187.50 hm2,which accounted for 34.22% of the studied area and mainly distributed in the middle,north and south border adjacent to other nature reserves.The unsuitable habitat area is 29 197.20 hm2,which accounted for 65.78% of the studied area.In the case of limited manpower and material resources,this study provides a basis for the reasonable allocation of protective actions for the conservation area to strength the protection of giant panda.%为揭示影响野生大熊猫Ailuropoda melanoleuca化学通讯位点选择的生态因素,于2016年3月和10月在四川小寨子沟国家级自然保护区,利用样线法对大熊猫化学通讯位点的适宜性进行了初步研究.调查共发现大熊猫化学通讯位点33个,基于这些位点和海拔、坡度、竹林分布等10个环境变量,使用最大熵(MaxEnt)模型对该区域大熊猫化学通讯位点适宜性进行综合评价.结果表明:竹林分布(56.90%)和距山脊距离(29.90%)2个环境变量的累积贡献率达86.80%,是影响该区域大熊猫化学通讯位点的主要生态因子.依据MaxEnt模型最大约登指数,将结果分为适宜和不适宜2种类型,其中,适宜面积为15 187.50 hm2,占研究区域面积的34.22%,主要位于保护区中部、保护区南北部分别与宝顶沟和白河自然保护区交界区域;不适宜面积为29 197.20 hm2,占65.78%.在人力、物力有限的情况下,本研究为保护区合理安排保护行动的时段和区域、提升大熊猫的保护成效提供了数据支撑,对进一步推动野生大熊猫保护实践具有一定意义.

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