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Integrating Geospatial Resource Use ...
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Walden-Schreiner, Chelsey Alyssa.
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Integrating Geospatial Resource Use and Environmental Data at Varying Scales for Protected Area Conservation.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Integrating Geospatial Resource Use and Environmental Data at Varying Scales for Protected Area Conservation./
作者:
Walden-Schreiner, Chelsey Alyssa.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:
182 p.
附註:
Source: Dissertations Abstracts International, Volume: 78-12, Section: B.
Contained By:
Dissertations Abstracts International78-12B.
標題:
Geographic information science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10610844
ISBN:
9781369857276
Integrating Geospatial Resource Use and Environmental Data at Varying Scales for Protected Area Conservation.
Walden-Schreiner, Chelsey Alyssa.
Integrating Geospatial Resource Use and Environmental Data at Varying Scales for Protected Area Conservation.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 182 p.
Source: Dissertations Abstracts International, Volume: 78-12, Section: B.
Thesis (Ph.D.)--North Carolina State University, 2017.
This item must not be sold to any third party vendors.
Biodiversity loss threatens the stability and function of ecosystems, yet is occurring at rates far greater than natural processes largely due to human activities. Protected areas (PAs) are a key strategy to conserve species and ecosystems, and represent global commitments to reduce future losses. Protected area objectives also encompass community development and ecosystem services, including nature-based recreation and tourism. Globally, recreation and tourism provide vital economic and political support to the existence and management of protected areas, yet also represent a potential threat to conserved resources already contending with pressures like climate change. Research on human (i.e., visitor)-environment interactions is vital to understanding relationships between use and natural resource impacts, thus informing effective management. Methodological challenges and limited resources to collect detailed use data are often credited as main obstacles to integrated analysis of the effects of recreation and tourism on natural resources. The goal of this dissertation is to leverage recent advances in geospatial approaches to advance use monitoring and to foster integrated analysis regarding useenvironment interactions in PAs at multiple scales. Specifically, both formal and crowdsourced geospatial data were analyzed using methods and analytical techniques applied in sub-disciplines of ecology, but only recently employed to monitor and understand visitor and visitor-related activities in relation to environmental conditions in PAs. Implemented as three case studies, each study employed a specific geospatial method, spatio-temporal scale, or analytical approach. The first case study integrated observational techniques with global positioning system (GPS) tracking and behavior change point analysis to explore the behavior of domestic animals (i.e., pack stock) used to transport people and materials in PAs when released to graze during overnight periods. The complementary approaches identified multiple bouts of different behaviors during overnight release periods, including the separation of intense, localized grazing from ambulatory grazing relevant to future behavior and movement modelling parameters and management to reduce impacts to meadow habitats. The second two case studies, which applied Maximum Entropy modelling to both formal and crowdsourced geospatial data, explored relationships between use, infrastructure, and natural environment. The second case study focused on pack stock use patterns at specific locations during 12-hour release periods, while the third case study examined parklevel visitor use patterns at seasonal and annual temporal scales. Findings from both studies identified the importance of infrastructure (i.e., roads, trails) and management tactics (i.e., temporary fencing, grazing release locations of domestic animals) aimed at influencing distribution patterns of use in PAs. Implications of findings from the three case studies highlight the significance of planning when implementing new tactics or building new infrastructure, because the resulting spatial change in use patterns will directly affect the location, timing, and types of impacts on natural resources. Results also provide empirical evidence about the level of efficiency in the methods employed and their ability to enhance collection and analysis of spatial visitor use and environmental data. Limitations of each approach and modelling decisions are discussed, illustrating how findings can contribute to future research about other visitor activities, ecological impacts, and landscape types.
ISBN: 9781369857276Subjects--Topical Terms:
3432445
Geographic information science.
Integrating Geospatial Resource Use and Environmental Data at Varying Scales for Protected Area Conservation.
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Biodiversity loss threatens the stability and function of ecosystems, yet is occurring at rates far greater than natural processes largely due to human activities. Protected areas (PAs) are a key strategy to conserve species and ecosystems, and represent global commitments to reduce future losses. Protected area objectives also encompass community development and ecosystem services, including nature-based recreation and tourism. Globally, recreation and tourism provide vital economic and political support to the existence and management of protected areas, yet also represent a potential threat to conserved resources already contending with pressures like climate change. Research on human (i.e., visitor)-environment interactions is vital to understanding relationships between use and natural resource impacts, thus informing effective management. Methodological challenges and limited resources to collect detailed use data are often credited as main obstacles to integrated analysis of the effects of recreation and tourism on natural resources. The goal of this dissertation is to leverage recent advances in geospatial approaches to advance use monitoring and to foster integrated analysis regarding useenvironment interactions in PAs at multiple scales. Specifically, both formal and crowdsourced geospatial data were analyzed using methods and analytical techniques applied in sub-disciplines of ecology, but only recently employed to monitor and understand visitor and visitor-related activities in relation to environmental conditions in PAs. Implemented as three case studies, each study employed a specific geospatial method, spatio-temporal scale, or analytical approach. The first case study integrated observational techniques with global positioning system (GPS) tracking and behavior change point analysis to explore the behavior of domestic animals (i.e., pack stock) used to transport people and materials in PAs when released to graze during overnight periods. The complementary approaches identified multiple bouts of different behaviors during overnight release periods, including the separation of intense, localized grazing from ambulatory grazing relevant to future behavior and movement modelling parameters and management to reduce impacts to meadow habitats. The second two case studies, which applied Maximum Entropy modelling to both formal and crowdsourced geospatial data, explored relationships between use, infrastructure, and natural environment. The second case study focused on pack stock use patterns at specific locations during 12-hour release periods, while the third case study examined parklevel visitor use patterns at seasonal and annual temporal scales. Findings from both studies identified the importance of infrastructure (i.e., roads, trails) and management tactics (i.e., temporary fencing, grazing release locations of domestic animals) aimed at influencing distribution patterns of use in PAs. Implications of findings from the three case studies highlight the significance of planning when implementing new tactics or building new infrastructure, because the resulting spatial change in use patterns will directly affect the location, timing, and types of impacts on natural resources. Results also provide empirical evidence about the level of efficiency in the methods employed and their ability to enhance collection and analysis of spatial visitor use and environmental data. Limitations of each approach and modelling decisions are discussed, illustrating how findings can contribute to future research about other visitor activities, ecological impacts, and landscape types.
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