The use of remote sensing in habitat management for wildlife
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The Use of Remote Sensing in Habitat Management for Wildlife. Helen Holdsworth EES 5053 University of Texas at San Antonio December 2, 2006. www.hdw-inc.com. www.fws.com. cache.britannica.com. Problem Statement.

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The Use of Remote Sensing in Habitat Management for Wildlife

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The use of remote sensing in habitat management for wildlife

The Use of Remote Sensing in Habitat Management for Wildlife

Helen Holdsworth

EES 5053

University of Texas at San Antonio

December 2, 2006

www.hdw-inc.com

www.fws.com

cache.britannica.com


Problem statement

Problem Statement

The ability to accurately assess habitat with remote sensing imagery should allow researchers to be more specific in their assessments and recommendations for habitat management.

Habitat fragmentation and urban encroachment are two of the major factors threatening wildlife species around the world.


Overview

Overview

  • Introduction

  • Methods

  • Results

  • Management Implications

  • Conclusions

fcit.usf.edu

www.treknature.com

animals.timduru.org


Landscape metrics associated with habitat use by ocelots in south texas

Landscape Metrics Associated with Habitat Use by Ocelots in South Texas

  • Hypothesis: Prefer large patches of closed canopy & avoid large patches of unsuitable habitat

  • Location: Laguna Atascosa National Wildlife Refuge


Methods

Methods

  • August 1991 Landsat Thematic Mapper imagery

  • Aerial photos

  • Digital orthophoto quadrangles

Image from TNRIS


Methods1

Methods

  • Used supervised and unsupervised classification for better accuracy

  • 4 land cover classes:

    Urban/barren

    Water

    Closed canopy

    Open canopy

Image from published paper, Journal of Wildlife Management


Methods2

Methods

  • Landscape Metrics

    Number of patches

    Shape

    Patch size

    Edge

    Mean nearest neighbor


Results management implications

Results & Management Implications

  • Closed canopy shows a great degree of fragmentation.

  • Ocelots used the largest patches available.

  • Decisions must consider size, shape, and edge.

  • Consider conserving areas with smaller patches.

Image from Google Earth


Landscape models to predict the influence of forest structure on tassel eared squirrel populations

Landscape Models to Predict the Influence of Forest Structure on Tassel-Eared Squirrel Populations

  • Question: Which characteristic best predicts squirrel density & recruitment?

  • Location: Mogollon Plateau in northern Arizona

Image from www.forestera.nau.edu/vw2/images/wmpala__assess_area.gif


Methods3

Methods

  • Data from Forest Ecosystem Restoration Analysis

  • Ground measurements

  • Digital orthophotos

  • ETM imagery


Results management implications1

Results & Management Implications

  • Squirrel density best predicted by basel area

  • Recruitment best predicted by canopy cover

  • Remove smaller trees

  • Leave larger patches with moderate-to-high canopy cover


Identifying suitable sites for florida panther reintroduction

Identifying Suitable Sites for Florida Panther Reintroduction

  • Question: Which areas would be good for panther reintroduction?

  • Location: Historic range of panther


Methods4

Methods

  • GIS map layers at 500 x 500 m

  • 1992 National Land Cover Data


Results management implications2

Results & Management Implications

  • Identified 9 potential sites with the historic range

  • Need field survey at local scale to verify

  • Need remote inaccessible areas


Analysis of the use of remote sensing

Analysis of The Use of Remote Sensing

Ocelot Research

  • 1991 Landsat Thematic Mapper

  • Spatial resolution of 30 m on bands 1-5, 7

  • Spatial resolution of 120 m on band 6

  • No problems reported

http://edcsns17.cr.usgs.gov/EarthExplorer/


Analysis of the use of remote sensing1

Analysis of The Use of Remote Sensing

Squirrel Research

  • Enhance Thematic Mapper Plus (ETM+)

  • Spatial resolution of 30 m on bands 1-5, 7

  • Spatial resolution of 120 m on band 6

  • Spatial resolution of 15 m on band 8

  • No problems reported

http://edcsns17.cr.usgs.gov/EarthExplorer/


Analysis of the use of remote sensing2

Analysis of The Use of Remote Sensing

Panther Research

  • GIS map layers at 500 x 500 m

  • 1992 National Land Cover Data

  • Could not incorporate fine scale characteristics

http://edcsns17.cr.usgs.gov/EarthExplorer/


Conclusions

www.treknature.com

Conclusions

  • Many imagery tools available

  • What you use depends on your resources

  • Should see more research and recommendations based on remote imagery use

  • Probably always need some ground-truthing

fcit.usf.edu

animals.timduru.org


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