IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-94-011-2868-1_30.html
   My bibliography  Save this book chapter

The Use of Automated Data-Acquisition Techniques in Monitoring Amphibian and Reptile Populations

In: Wildlife 2001: Populations

Author

Listed:
  • Charles R. Peterson

    (Idaho State University, Department of Biological Sciences)

  • Michael E. Dorcas

    (Idaho State University, Department of Biological Sciences)

Abstract

A major problem associated with herpetological surveys and monitoring programs is that environmental variation affects animal activity and, thus, our ability to determine the presence and abundance of amphibians and reptiles. This paper discusses how automated data-acquisition techniques can be used to quantify the relationships between environmental variation and animal activity and thereby improve surveys and monitoring programs. Two major issues are addressed: (1) how to describe temporal and spatial variation in the physical environment, and (2) how to measure the activity patterns of free-ranging animals. We use an automated weather station to gather environmental data and techniques such as radiotelemetry and audio recording to determine activity patterns. Combining environmental and activity data helps optimize where, when, and under what conditions to sample. We illustrate our approach with data on the effects of environmental variation on the activity patterns of rubber boas (Charina bottae) and on the calling activity of southwestern toads (Bufo microscaphus) .

Suggested Citation

  • Charles R. Peterson & Michael E. Dorcas, 1992. "The Use of Automated Data-Acquisition Techniques in Monitoring Amphibian and Reptile Populations," Springer Books, in: Dale R. McCullough & Reginald H. Barrett (ed.), Wildlife 2001: Populations, pages 369-378, Springer.
  • Handle: RePEc:spr:sprchp:978-94-011-2868-1_30
    DOI: 10.1007/978-94-011-2868-1_30
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-94-011-2868-1_30. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.