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Utilization distribution as a predictor in modeling black rhino (Diceros bicornis) habitat in Africa's southern Rift Valley

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Date Issued:
2005
Summary:
An innovative technique of evaluating resource selection for black rhino (Diceros bicornis) was used to assess the population utilization distribution (PUD) within a rhino sanctuary in Liwonde National Park, Malawi. The PUD enabled an evaluation of responses to habitat variables over a spatial gradient of resource selection. A Geographic Information System (GIS) was constructed using vegetation, browse availability, roads, rivers, water holes and satellite imagery. Linear models were developed to quantify habitat variables within the black rhino sanctuary and park. The sanctuary model was calibrated within a known core area (R^2=0.42, P<0.001), validated in a second area (R^2=0.56, P<0.001) within the sanctuary and, subsequently, used to predict potential black rhino habitat within the remaining sanctuary boundaries. The model for the entire Liwonde National Park predicted additional black rhino habitat (R^2=0.25, P<0.05). Population utilization distribution was found to be a powerful conservation tool for determining suitable black rhino habitat.
Title: Utilization distribution as a predictor in modeling black rhino (Diceros bicornis) habitat in Africa's southern Rift Valley.
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Name(s): van der Heiden, Craig.
Florida Atlantic University, Degree grantor
Volin, John C., Thesis advisor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 2005
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 70 p.
Language(s): English
Summary: An innovative technique of evaluating resource selection for black rhino (Diceros bicornis) was used to assess the population utilization distribution (PUD) within a rhino sanctuary in Liwonde National Park, Malawi. The PUD enabled an evaluation of responses to habitat variables over a spatial gradient of resource selection. A Geographic Information System (GIS) was constructed using vegetation, browse availability, roads, rivers, water holes and satellite imagery. Linear models were developed to quantify habitat variables within the black rhino sanctuary and park. The sanctuary model was calibrated within a known core area (R^2=0.42, P<0.001), validated in a second area (R^2=0.56, P<0.001) within the sanctuary and, subsequently, used to predict potential black rhino habitat within the remaining sanctuary boundaries. The model for the entire Liwonde National Park predicted additional black rhino habitat (R^2=0.25, P<0.05). Population utilization distribution was found to be a powerful conservation tool for determining suitable black rhino habitat.
Identifier: 9780542391576 (isbn), 13296 (digitool), FADT13296 (IID), fau:10148 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): Thesis (M.S.)--Florida Atlantic University, 2005.
Charles E. Schmidt College of Science
Subject(s): Habitat selection--Statistical methods
Liwonde National Park (Malawi)
Rift Valley Province (Kenya)
Wildlife conservation--Africa
Habitat (Ecology)
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/13296
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.