Share Email Print

Journal of Applied Remote Sensing

Incorporating remotely sensed tree canopy cover data into broad scale assessments of wildlife habitat distribution and conservation
Author(s): Sebastian Martinuzzi; Lee A. Vierling; William A. Gould; Kerri Vierling; Andrew Thomas Hudak
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

Remote sensing provides critical information for broad scale assessments of wildlife habitat distribution and conservation. However, such efforts have been typically unable to incorporate information about vegetation structure, a variable important for explaining the distribution of many wildlife species. We evaluated the consequences of incorporating remotely sensed information about horizontal vegetation structure into current assessments of wildlife habitat distribution and conservation. For this, we integrated the new NLCD tree canopy cover product into the US GAP Analysis database, using avian species and the finished Idaho GAP Analysis as a case study. We found: (1) a 15-68% decrease in the extent of the predicted habitat for avian species associated with specific tree canopy conditions, (2) a marked decrease in the species richness values predicted at the Landsat pixel scale, but not at coarser scales, (3) a modified distribution of biodiversity hotspots, and (4) surprising results in conservation assessment: despite the strong changes in the species predicted habitats, their distribution in relation to the reserves network remained the same. This study highlights the value of area wide vegetation structure data for refined biodiversity and conservation analyses. We discuss further opportunities and limitations for the use of the NLCD data in wildlife habitat studies.

Paper Details

Date Published: 1 December 2009
PDF: 17 pages
J. Appl. Remote Sens. 3(1) 033568 doi: 10.1117/1.3279080
Published in: Journal of Applied Remote Sensing Volume 3, Issue 1
Show Author Affiliations
Sebastian Martinuzzi, Univ. of Idaho (United States)
Lee A. Vierling, Univ. of Idaho (United States)
William A. Gould, USDA Forest Service International Institute of Tropical Forestry (United States)
Kerri Vierling, Univ. of Idaho (United States)
Andrew Thomas Hudak, U.S.D.A. Forest Service Rocky Mountain Research Station (United States)

© SPIE. Terms of Use
Back to Top