首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Estimating density of a territorial species in a dynamic landscape
Authors:Elizabeth M Glenn  Damon B Lesmeister  Raymond J Davis  Bruce Hollen  Anne Poopatanapong
Institution:1.U.S. Fish and Wildlife Service,Portland,USA;2.Department of the Interior Northwest Climate Science Center,Corvallis,USA;3.Forestry Sciences Laboratory,USDA Forest Service, Pacific Northwest Research Station,Corvallis,USA;4.Forestry Sciences Laboratory,USDA Forest Service, Pacific Northwest Region,Corvallis,USA;5.Bureau of Land Management,Portland,USA;6.USDA Forest Service, Pacific Northwest Region,Portland,USA
Abstract:

Context

Conservation planning for at-risk species requires understanding of where species are likely to occur, how many individuals are likely to be supported on a given landscape, and the ability to monitor those changes through time.

Objectives

We developed a distribution model for northern spotted owls that incorporates both habitat suitability and probability of territory occupancy while accounting for interspecies competition.

Methods

We developed range-wide habitat suitability maps for two time periods (1993 and 2012) for northern spotted owls that accounted for regional differences in habitat use and home range size. We used these maps for a long-term demographic monitoring study area to assess habitat change and estimate the number of potential territories based on available habitat for both time periods. We adjusted the number of potential territories using known occupancy rates to estimate owl densities for both time periods. We evaluated our range-wide habitat suitability model using independent survey data.

Results

Our range-wide habitat maps predicted areas suitable for territorial spotted owl presence well. On the demographic study area, the amount of habitat declined 19.7% between 1993 and 2012, while our estimate of the habitat-based carrying capacity declined from 150 to 146 territories. Estimated number of occupied territories declined from 94 to 57.

Conclusions

Conservation and recovery of at-risk species depends on understanding how habitat changes over time in response to factors such as wildfire, climate change, biological invasions, and interspecies competition, and how these changes influence species distribution. We demonstrate a model-based approach that provides an effective planning tool.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号