栖息地
环境资源管理
环境生态位模型
生态学
资源(消歧)
保护生物学
物种分布
生物多样性
比例(比率)
空间生态学
时间尺度
地理
航程(航空)
分布(数学)
资源管理(计算)
伞种
生态位
计算机科学
环境科学
地图学
工程类
生物
濒危物种
航空航天工程
数学分析
数学
计算机网络
标识
DOI:10.1017/cbo9780511810602
摘要
Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.
科研通智能强力驱动
Strongly Powered by AbleSci AI