检索结果-南通市图书馆

Use of the Max Ent model to predict changes in sloth bear(melursus ursinus)habitats in the Gandaki River Basin,Nepal

引用

Journal of Mountain Science 2022年第7期19卷 1988-1997页

作者： Raju RAI ZHANG Yi-li WANG Zhao-feng Basanta PAUDEL LIU Lin-shan Mohan Kumar RAI Narendra Raj KHANAL Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China University of Chinese Academy of Sciences Beijing100049China Institute of Fundamental Research and Studies Kathmandu44600Nepal Kathmandu Center for Research and Education Chinese Academy of Sciences-Tribhuvan UniversityKirtipurKathmandu44613Nepal

The Gandaki River Basin(GRB),located in the central Himalaya,provides habitats for a large number of important flora and fauna *** habitats of key protected species have changed over time as a result of climate changes and human activities related to land use change,including the development of *** study assessed the present and future distributions of sloth bear(melursus ursinus)habitats using the maximum entropy(Max Ent)*** data,a digital elevation model and roads were used as environmental layers to assess current and future distributions of *** show that the overall habitat within the study area is likely to undergo important changes in the *** 8(the mean temperature of the wettest quarter)and slope were found to be important variables affecting the distribution of the *** habitats very highly suitable for sloth bears currently cover an area of 148 km^(2) within the *** habitats are predicted to increase by 122 km^(2) more by ***,a net change by 680.38 km^(2) was found in the *** measures are necessary for this key protected species and its habitat within the GRB and elsewhere in Nepal.

关键词： Sloth bear melursus ursinus Habitat prediction Max Ent Gandaki River Basin Himalays

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Using machine learning to predict habitat suitability of sloth bears at multiple spatial scales

引用

Ecological Processes 2021年第1期10卷 634-645页

作者： Tahir Ali Rather Sharad Kumar Jamal Ahmad Khan Department of Wildlife Sciences Aligarh Muslim UniversityAligarhUttar Pradesh 202002India The Corbett Foundation 81-88Atlanta BuildingNariman PointMumbaiMaharashtra 400021India

Background:Habitat resources occur across the range of spatial scales in the *** environmental resources are characterized by upper and lower limits,which define organisms’distribution in their *** respond to these resources at the optimal spatial ***,multi-scale assessments are critical to identifying the correct spatial scale at which habitat resources are most influential in determining the specieshabitat *** study used a machine learning algorithm random forest(RF),to evaluate the scaledependent habitat selection of sloth bears(melursus ursinus)in and around Bandhavgarh Tiger Reserve,Madhya Pradesh,***:We used 155 spatially rarified occurrences out of 248 occurrence records of sloth bears obtained from camera trap captures(n=36)and scats located(n=212)in the *** calculated focal statistics for 13 habitat variables across ten spatial scales surrounding each presence-absence record of sloth ***(>5000 m)and small(1000–2000 m)spatial scales were the most dominant scales at which sloth bears perceived the habitat *** the habitat covariates,farmlands and degraded forests were the essential patches associated with sloth bear occurrences,followed by sal and dry deciduous *** final habitat suitability model was highly accurate and had a very low out-of-bag(OOB)error *** high accuracy rate was also obtained using alternate validation ***:Human-dominated landscapes are characterized by expanding human populations,changing landuse patterns,and increasing habitat *** and degraded habitats constitute~40%of the landform in the buffer zone of the *** of the management implications may be identifying the highly suitable bear habitats in human-modified landscapes and integrating them with the existing conservation landscapes.

关键词： Bandhavgarh melursus ursinus Multi-scale Habitat selection Random forest Sloth bear Species distribution models

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：