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American Poems: Books: Mapping Species Distributions: Spatial Inference and Prediction (Ecology, Biodiversity and Conservation)
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 Home » Books » Mapping Species Distributions: Spatial Inference and Prediction (Ecology, Biodiversity and Conservation)

Mapping Species Distributions: Spatial Inference and Prediction (Ecology, Biodiversity and Conservation)

  • List Price: $66.00
  • Buy New: $55.39
  • as of 9/22/2014 17:14 EDT details
  • You Save: $10.61 (16%)
In Stock
New (19) Used (13) from $55.39
  • Seller:doraemoni
  • Sales Rank:708,658
  • Languages:English (Unknown), English (Original Language), English (Published)
  • Media:Paperback
  • Number Of Items:1
  • Pages:336
  • Shipping Weight (lbs):1.2
  • Dimensions (in):9.1 x 5.9 x 0.8
  • Publication Date:February 8, 2010
  • ISBN:0521700027
  • EAN:9780521700023
  • ASIN:0521700027
Availability:Usually ships in 1-2 business days

Features:
  • Used Book in Good Condition


Editorial Reviews:
Synopsis
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.

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