IDEAS home Printed from https://ideas.repec.org/a/igg/jagr00/v4y2013i3p39-57.html
   My bibliography  Save this article

Modeling Forest Species Distributions in a Human-Dominated Landscape in Northeastern, USA

Author

Listed:
  • Stephen McCauley

    (George Perkins Marsh Institute, Clark University, Worcester, MA, USA)

  • John Rogan

    (Graduate School of Geography, Clark University, Worcester, MA, USA)

  • Jennifer Miller

    (Department of Geography and the Environment, University of Texas, Austin, USA)

Abstract

Mapping forest species distributions is notoriously difficult in human-dominated mixed temperate forest environments. The goal of this study is to evaluate the effectiveness of species distribution modeling techniques for estimating the distribution of forest canopy species on Cape Cod, Massachusetts, USA. Binary maps of estimated presence/absence were produced for four canopy species using a classification tree approach and a generalized linear modeling approach, both including and excluding a spatial dependence term, and the results are evaluated using several assessment measures. Secondary goals of the study are to examine the influence of past land use on species distributions at the landscape scale and to consider the effect of explicitly including information on spatial dependence. Findings suggest that these techniques are broadly applicable in such human-dominated landscapes, but that complex disturbance histories introduce significant challenges.

Suggested Citation

  • Stephen McCauley & John Rogan & Jennifer Miller, 2013. "Modeling Forest Species Distributions in a Human-Dominated Landscape in Northeastern, USA," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 4(3), pages 39-57, July.
  • Handle: RePEc:igg:jagr00:v:4:y:2013:i:3:p:39-57
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jagr.2013070103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jagr00:v:4:y:2013:i:3:p:39-57. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.