Skip to content
Open global navigation

Cambridge University Press

AcademicLocation selectorSearch toggleMain navigation toggle
Cart
Register Sign in Wishlist

Mapping Species Distributions
Spatial Inference and Prediction

$66.00

Part of Ecology, Biodiversity and Conservation

  • Date Published: February 2010
  • availability: In stock
  • format: Paperback
  • isbn: 9780521700023

$66.00
Paperback

Add to cart Add to wishlist

Other available formats:
Hardback, eBook


Looking for an examination copy?

If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • 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.

    • Comprehensively addresses all aspects of species' distribution modelling creating a concise source of tools for use academically and in the field
    • Includes an extensive review of published literature, providing a sound basis for a new approach to future modelling
    • Suitable for undergraduate and graduate students new to species' distribution modelling and to assist more-experienced researchers and resource and conservation managers
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: February 2010
    • format: Paperback
    • isbn: 9780521700023
    • length: 336 pages
    • dimensions: 230 x 156 x 17 mm
    • weight: 0.54kg
    • contains: 37 b/w illus. 20 tables
    • availability: In stock
  • Table of Contents

    Part I. History and Ecological Basis of Species' Distribution Modeling:
    1. Species distribution modeling
    2. Why do we need species' distribution models?
    3. Ecological understanding of species' distributions
    Part II. The Data Needed for Modeling Species' Distributions
    4. Data for species' distribution models: the biological data
    5. Data for species' distribution models: the environmental data
    Part III. An Overview of the Modeling Methods:
    6. Statistical models – modern regression
    7. Machine learning methods
    8. Classification, similarity and other methods for presence-only data
    Part IV. Model Evaluation and Implementation:
    9. Model evaluation
    10. Implementation of species' distribution models.

  • Author

    Janet Franklin, San Diego State University
    Janet Franklin has been a Professor of Biology and Adjunct Professor of Geography at San Diego State University, where she was on the faculty from 1988–2009. In 2009 she joined the faculty of Arizona State University as a Professor in the Schools of Geographical Sciences and Life Sciences. She received the Bachelors' degree on Environmental Biology (1979), the Master of Arts (1983), and the Ph.D. (1988) in Geography, all from the University of California at Santa Barbara. Her research interests include biogeography, landscape ecology, plant ecology, biophysical remote sensing, digital terrain analysis, and geographic information science. She has conducted research on plant community composition, structure, dynamics and spatio-temporal patterns in Mediterranean-climate ecosystems, deserts, tropical dry forests and rain forests. She was the Editor of The Professional Geographer (1997–2000) Board Member of Landscape Ecology (2000–2005), and Associate Editor of Journal of Vegetation Science (1999–2006). She is currently a Board Member of Ecology and Diversity & Distributions. She has published more than 80 refereed book chapters and papers in journals Ecological Applications, Ecological Modelling, Journal of Vegetation Science, Ecology, Diversity & Distributions, Journal of Tropical Ecology and Conservation Biology. She has received research support from NSF, NASA, USGS, Forest Service, California State Parks, National Geographic Society, and others.

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email cflack@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website, your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Find content that relates to you

© Cambridge University Press 2014

Back to top

Are you sure you want to delete your account?

This cannot be undone.

Cancel Delete

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×