Difference: Papers20100623113740 (1 vs. 3)

Revision 32010-08-13 - TheresiaFreska

 
META TOPICPARENT name="AI_GEOSTATSPapers"
Title: A Spatially Explicit Population Viability Model using GIS
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Date: 24 September 2001
  Authors: Mark Lethbridge, Hugh Possingham and Andrew Tyre
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Link: http://www.geocomputation.org/2001/papers/lethbridge.pdf
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Link: http://www.geocomputation.org/2001/papers/lethbridge.pdf
  Abstract:
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Population Viability Analysis (PVA) is a Monte Carlo simulation method for estimating the probability of extinction of threatened species. There has been a shift in the use of PVA from absolute species risk measurement to relative risk assessment associated with a ranking of management strategies. Furthermore, PVA models have sought to include more spatially explicit information, like habitat structure and dynamics. Geographical Information Systems (GIS) have long been used as a spatial decision support tool. More recently there has been particular interest in the integration of GIS with simulation modelling. Integrating PVA with GIS will enable us to explore spatially explicit management strategies, eg. habitat restoration or predator control in particular places. We describe a new individualbased, spatially explicit PVA model that integrates with the Environmental Systems Research Institute?s (ESRI) ArcView? and ArcInfo? GIS software. Environmental stochasticity is simulated in this model using normal or lognormal deviate random number generators. The model allows the user to choose from a variety of effects that environmental stochasticity and catastrophes have on fecundity and survival. The model simulates both sexes and allows for the Allee effect. This work is still in progress. We discuss the operation of this model and using preliminary data illustrate its application with a threatened species, the Yellow-footed Rock-wallaby ( Petrogale xanthopus).
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Population Viability Analysis (PVA) is a Monte Carlo simulation method for estimating the probability of extinction of threatened species. There has been a shift in the use of PVA from absolute species risk measurement to relative risk assessment associated with a ranking of management strategies. Furthermore, PVA models have sought to include more spatially explicit information, like habitat structure and dynamics. Geographical Information Systems (GIS) have long been used as a spatial decision support tool. More recently there has been particular interest in the integration of GIS with simulation modelling. Integrating PVA with GIS will enable us to explore spatially explicit management strategies, eg. habitat restoration or predator control in particular places. We describe a new individualbased, spatially explicit PVA model that integrates with the Environmental Systems Research Institute's (ESRI) ArcView and ArcInfo GIS software. Environmental stochasticity is simulated in this model using normal or lognormal deviate random number generators. The model allows the user to choose from a variety of effects that environmental stochasticity and catastrophes have on fecundity and survival. The model simulates both sexes and allows for the Allee effect. This work is still in progress. We discuss the operation of this model and using preliminary data illustrate its application with a threatened species, the Yellow-footed Rock-wallaby (Petrogale xanthopus).
 
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Reference: Proceedings of the 6th International Conference on GeoComputation University of Queensland, Brisbane, Australia, 24 - 26 September 2001. CD-ROM produced by: David V. Pullar Publisher: "GeoComputation CD-ROM". ISBN 1864995637
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Reference: Proceedings of the 6th International Conference on GeoComputation University of Queensland, Brisbane, Australia, 24 - 26 September 2001. CD-ROM produced by: David V. Pullar Publisher: "GeoComputation CD-ROM". ISBN 1864995637
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-- TWikiAdminUser - 2010-06-16

Revision 22010-07-23 - TWikiAdminUser

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META TOPICPARENT name="GeostatisticsPapers"
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META TOPICPARENT name="AI_GEOSTATSPapers"
 Title: A Spatially Explicit Population Viability Model using GIS

Date:

Authors: Mark Lethbridge, Hugh Possingham and Andrew Tyre

Link: http://www.geocomputation.org/2001/papers/lethbridge.pdf

Abstract:

Population Viability Analysis (PVA) is a Monte Carlo simulation method for estimating the probability of extinction of threatened species. There has been a shift in the use of PVA from absolute species risk measurement to relative risk assessment associated with a ranking of management strategies. Furthermore, PVA models have sought to include more spatially explicit information, like habitat structure and dynamics. Geographical Information Systems (GIS) have long been used as a spatial decision support tool. More recently there has been particular interest in the integration of GIS with simulation modelling. Integrating PVA with GIS will enable us to explore spatially explicit management strategies, eg. habitat restoration or predator control in particular places. We describe a new individualbased, spatially explicit PVA model that integrates with the Environmental Systems Research Institute?s (ESRI) ArcView? and ArcInfo? GIS software. Environmental stochasticity is simulated in this model using normal or lognormal deviate random number generators. The model allows the user to choose from a variety of effects that environmental stochasticity and catastrophes have on fecundity and survival. The model simulates both sexes and allows for the Allee effect. This work is still in progress. We discuss the operation of this model and using preliminary data illustrate its application with a threatened species, the Yellow-footed Rock-wallaby ( Petrogale xanthopus).

Reference: Proceedings of the 6th International Conference on GeoComputation University of Queensland, Brisbane, Australia, 24 - 26 September 2001. CD-ROM produced by: David V. Pullar Publisher: "GeoComputation CD-ROM". ISBN 1864995637

-- TWikiAdminUser - 2010-06-16

Revision 12010-06-23 - TWikiAdminUser

 
META TOPICPARENT name="GeostatisticsPapers"
Title: A Spatially Explicit Population Viability Model using GIS

Date:

Authors: Mark Lethbridge, Hugh Possingham and Andrew Tyre

Link: http://www.geocomputation.org/2001/papers/lethbridge.pdf

Abstract:

Population Viability Analysis (PVA) is a Monte Carlo simulation method for estimating the probability of extinction of threatened species. There has been a shift in the use of PVA from absolute species risk measurement to relative risk assessment associated with a ranking of management strategies. Furthermore, PVA models have sought to include more spatially explicit information, like habitat structure and dynamics. Geographical Information Systems (GIS) have long been used as a spatial decision support tool. More recently there has been particular interest in the integration of GIS with simulation modelling. Integrating PVA with GIS will enable us to explore spatially explicit management strategies, eg. habitat restoration or predator control in particular places. We describe a new individualbased, spatially explicit PVA model that integrates with the Environmental Systems Research Institute?s (ESRI) ArcView? and ArcInfo? GIS software. Environmental stochasticity is simulated in this model using normal or lognormal deviate random number generators. The model allows the user to choose from a variety of effects that environmental stochasticity and catastrophes have on fecundity and survival. The model simulates both sexes and allows for the Allee effect. This work is still in progress. We discuss the operation of this model and using preliminary data illustrate its application with a threatened species, the Yellow-footed Rock-wallaby ( Petrogale xanthopus).

Reference: Proceedings of the 6th International Conference on GeoComputation University of Queensland, Brisbane, Australia, 24 - 26 September 2001. CD-ROM produced by: David V. Pullar Publisher: "GeoComputation CD-ROM". ISBN 1864995637

-- TWikiAdminUser - 2010-06-16

 
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