Landscape habitat diversity: An information theoretic measure

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Description

Biotic diversity is a topic of increasing concern, but current tools for quantifying diversity at the landscape level are inadequate. A new index is proposed. Beginning with a classified raster image of a landscape, each habitat type is assigned a value based on an ordination axis distance. The change in value from one patch to the next depends on how similar the two patches are. An information measure d{sub I} is used to evaluate deviation from uniformity of the ordination values at different scales. Different areas can be compared if habitat values are based on the same ordination scale. This … continued below

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27 p.

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Loehle, C. & Wein, G. June 1, 1994.

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  • Loehle, C. Argonne National Lab., IL (United States)
  • Wein, G. Memphis State Univ., TN (United States). Dept. of Biology

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Description

Biotic diversity is a topic of increasing concern, but current tools for quantifying diversity at the landscape level are inadequate. A new index is proposed. Beginning with a classified raster image of a landscape, each habitat type is assigned a value based on an ordination axis distance. The change in value from one patch to the next depends on how similar the two patches are. An information measure d{sub I} is used to evaluate deviation from uniformity of the ordination values at different scales. Different areas can be compared if habitat values are based on the same ordination scale. This new method provides a powerful tool for both displaying and calculating landscape habitat diversity.

Physical Description

27 p.

Notes

OSTI as DE94013307; Paper copy available at OSTI: phone, 865-576-8401, or email, reports@adonis.osti.gov

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  • Other Information: PBD: [1994]

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  • June 1, 1994

Added to The UNT Digital Library

  • Nov. 28, 2018, 2:33 p.m.

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  • Dec. 16, 2019, 1:55 p.m.

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Loehle, C. & Wein, G. Landscape habitat diversity: An information theoretic measure, report, June 1, 1994; Illinois. (https://digital.library.unt.edu/ark:/67531/metadc1341510/: accessed March 29, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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