Visualizing environmental correlates of species geographical range limits

John T. Bauer, A. Townsend Peterson

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Although many studies have treated aspects of species geographical distributions and numerous approaches exist for understanding overall ecological correlates of distributions, software tools for exploring environmental correlates of distributional limits are relatively few. We focused on the challenge of understanding spatial correlates of distributional limits, and developed an extension to ARCVIEW that provides a simple, univariate test and visualization for such explorations. The 'Boundary U-test' seeks out environmental variables that show steep gradients associated with user-defined boundaries across geography. We illustrate the tool and its applications with an example of the likely historical distribution of Mexican wolf (Canis lupus).

Original languageEnglish (US)
Pages (from-to)275-278
Number of pages4
JournalDiversity and Distributions
Volume11
Issue number4
DOIs
StatePublished - Jul 1 2005

Fingerprint

Canis lupus
wolves
geography
geographical distribution
visualization
testing
software
environmental factors
distribution
test

Keywords

  • Canis lupus
  • Distribution
  • Environmental correlates
  • Range limits

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics

Cite this

Visualizing environmental correlates of species geographical range limits. / Bauer, John T.; Peterson, A. Townsend.

In: Diversity and Distributions, Vol. 11, No. 4, 01.07.2005, p. 275-278.

Research output: Contribution to journalArticle

@article{b0c063d6eaa8476599fe604892a34dc3,
title = "Visualizing environmental correlates of species geographical range limits",
abstract = "Although many studies have treated aspects of species geographical distributions and numerous approaches exist for understanding overall ecological correlates of distributions, software tools for exploring environmental correlates of distributional limits are relatively few. We focused on the challenge of understanding spatial correlates of distributional limits, and developed an extension to ARCVIEW that provides a simple, univariate test and visualization for such explorations. The 'Boundary U-test' seeks out environmental variables that show steep gradients associated with user-defined boundaries across geography. We illustrate the tool and its applications with an example of the likely historical distribution of Mexican wolf (Canis lupus).",
keywords = "Canis lupus, Distribution, Environmental correlates, Range limits",
author = "Bauer, {John T.} and Peterson, {A. Townsend}",
year = "2005",
month = "7",
day = "1",
doi = "10.1111/j.1366-9516.2005.00173.x",
language = "English (US)",
volume = "11",
pages = "275--278",
journal = "Diversity and Distributions",
issn = "1366-9516",
publisher = "Wiley-Blackwell",
number = "4",

}

TY - JOUR

T1 - Visualizing environmental correlates of species geographical range limits

AU - Bauer, John T.

AU - Peterson, A. Townsend

PY - 2005/7/1

Y1 - 2005/7/1

N2 - Although many studies have treated aspects of species geographical distributions and numerous approaches exist for understanding overall ecological correlates of distributions, software tools for exploring environmental correlates of distributional limits are relatively few. We focused on the challenge of understanding spatial correlates of distributional limits, and developed an extension to ARCVIEW that provides a simple, univariate test and visualization for such explorations. The 'Boundary U-test' seeks out environmental variables that show steep gradients associated with user-defined boundaries across geography. We illustrate the tool and its applications with an example of the likely historical distribution of Mexican wolf (Canis lupus).

AB - Although many studies have treated aspects of species geographical distributions and numerous approaches exist for understanding overall ecological correlates of distributions, software tools for exploring environmental correlates of distributional limits are relatively few. We focused on the challenge of understanding spatial correlates of distributional limits, and developed an extension to ARCVIEW that provides a simple, univariate test and visualization for such explorations. The 'Boundary U-test' seeks out environmental variables that show steep gradients associated with user-defined boundaries across geography. We illustrate the tool and its applications with an example of the likely historical distribution of Mexican wolf (Canis lupus).

KW - Canis lupus

KW - Distribution

KW - Environmental correlates

KW - Range limits

UR - http://www.scopus.com/inward/record.url?scp=22544453615&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=22544453615&partnerID=8YFLogxK

U2 - 10.1111/j.1366-9516.2005.00173.x

DO - 10.1111/j.1366-9516.2005.00173.x

M3 - Article

AN - SCOPUS:22544453615

VL - 11

SP - 275

EP - 278

JO - Diversity and Distributions

JF - Diversity and Distributions

SN - 1366-9516

IS - 4

ER -