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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

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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