Area prioritization for optimal conservation planning
text This dissertation develops an optimization framework for conservation planning and illustrates the framework using case studies from Alaska, Balcones Canyonlands National Wildlife Refuge (BCNWR) in central Texas, and Mexico. The common theme of the chapters is the use of optimization models to...
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ftunivtexas:oai:repositories.lib.utexas.edu:2152/18392 2023-05-15T15:10:47+02:00 Area prioritization for optimal conservation planning Fuller, Trevon Louis Sarkar, Sahotra 2009-05 electronic application/pdf http://hdl.handle.net/2152/18392 eng eng http://hdl.handle.net/2152/18392 Copyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works. Nature conservation--Mathematical models Natural resources conservation areas 2009 ftunivtexas 2020-12-23T22:04:05Z text This dissertation develops an optimization framework for conservation planning and illustrates the framework using case studies from Alaska, Balcones Canyonlands National Wildlife Refuge (BCNWR) in central Texas, and Mexico. The common theme of the chapters is the use of optimization models to design conservation areas. Chapter 1 explains how the subsequent chapters are related to one another. Chapter 2 develops a framework for measuring how the cost of establishing conservation areas changes over time. When this method is applied to a data set on Mexican mammals, it is shown that twice as much land would have to be set aside to protect adequate mammal habitat today than would have been required in 1970 due to ongoing deforestation. Chapter 3 presents an optimization model for planning the establishment of conservation areas that incorporates forecasts of species' responses to global warming. The model is applied to analyze endangered birds and the polar bear (Ursus maritimus) on the Arctic coast of Alaska. Chapter 4 discusses the modeling of habitat for two endangered bird species, the Black{capped Vireo (Vireo atricapillus) and the Golden{cheekedWarbler (Dendroica chrysoparia), at BCNWR using a machine{learning algorithm (Maxent). These habitat models serve as part of the input for a one{stage optimization model for acquiring land to expand BCNWR. Chapter 5 uses graph theory to select corridors to establish connectivity between conservation areas in Mexico. The planning method presented in Chapter 5 is implemented in a free software package for corridor design, LQGraph. Biological Sciences, School of Other/Unknown Material Arctic Global warming Ursus maritimus Alaska The University of Texas at Austin: Texas ScholarWorks Arctic |
institution |
Open Polar |
collection |
The University of Texas at Austin: Texas ScholarWorks |
op_collection_id |
ftunivtexas |
language |
English |
topic |
Nature conservation--Mathematical models Natural resources conservation areas |
spellingShingle |
Nature conservation--Mathematical models Natural resources conservation areas Fuller, Trevon Louis Area prioritization for optimal conservation planning |
topic_facet |
Nature conservation--Mathematical models Natural resources conservation areas |
description |
text This dissertation develops an optimization framework for conservation planning and illustrates the framework using case studies from Alaska, Balcones Canyonlands National Wildlife Refuge (BCNWR) in central Texas, and Mexico. The common theme of the chapters is the use of optimization models to design conservation areas. Chapter 1 explains how the subsequent chapters are related to one another. Chapter 2 develops a framework for measuring how the cost of establishing conservation areas changes over time. When this method is applied to a data set on Mexican mammals, it is shown that twice as much land would have to be set aside to protect adequate mammal habitat today than would have been required in 1970 due to ongoing deforestation. Chapter 3 presents an optimization model for planning the establishment of conservation areas that incorporates forecasts of species' responses to global warming. The model is applied to analyze endangered birds and the polar bear (Ursus maritimus) on the Arctic coast of Alaska. Chapter 4 discusses the modeling of habitat for two endangered bird species, the Black{capped Vireo (Vireo atricapillus) and the Golden{cheekedWarbler (Dendroica chrysoparia), at BCNWR using a machine{learning algorithm (Maxent). These habitat models serve as part of the input for a one{stage optimization model for acquiring land to expand BCNWR. Chapter 5 uses graph theory to select corridors to establish connectivity between conservation areas in Mexico. The planning method presented in Chapter 5 is implemented in a free software package for corridor design, LQGraph. Biological Sciences, School of |
author2 |
Sarkar, Sahotra |
author |
Fuller, Trevon Louis |
author_facet |
Fuller, Trevon Louis |
author_sort |
Fuller, Trevon Louis |
title |
Area prioritization for optimal conservation planning |
title_short |
Area prioritization for optimal conservation planning |
title_full |
Area prioritization for optimal conservation planning |
title_fullStr |
Area prioritization for optimal conservation planning |
title_full_unstemmed |
Area prioritization for optimal conservation planning |
title_sort |
area prioritization for optimal conservation planning |
publishDate |
2009 |
url |
http://hdl.handle.net/2152/18392 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Global warming Ursus maritimus Alaska |
genre_facet |
Arctic Global warming Ursus maritimus Alaska |
op_relation |
http://hdl.handle.net/2152/18392 |
op_rights |
Copyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works. |
_version_ |
1766341740906676224 |