ANDS Services - Demonstration Environment - development

Dataset

Spatial Population Abundance Dynamics Engine (SPADE)

University of Tasmania, Australia
Beeton, Nick (Aggregated by) Johnson, Chris (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://vivo.utas.edu.au/vivo/individual/n2835&rft.title=Spatial Population Abundance Dynamics Engine (SPADE)&rft.identifier=http://vivo.utas.edu.au/vivo/individual/n2835&rft.publisher=University of Tasmania, Australia&rft.description=A new tool to assist cost-effective decision making for invasive species management. It can map the current and likely future range and population densities of invasive species under different management scenarios, to assist the cost effective management of invasive animals and diseases. It incorporates a wide range of control methods and management strategies suited to different landscape zones and densities of invasive species. It is sensitive to environmental drivers (for example, preferred habitat and ease of movement through the landscape), social drivers (preferred control methods), and management costs and risks. It also has a user-friendly interface to enable land managers to run the model on a desktop computer to test the cost-effectiveness of different management strategies and produce reports that will help communicate the likely impacts of different strategies to senior decision makers, land managers and interest groups&rft.creator=Zoology&rft.creator=Johnson, Chris&rft.creator=Beeton, Nick&rft.date=2015&rft_subject=Community Ecology&rft_subject=Biological Sciences&rft_subject=Ecology&rft_subject=Population Ecology&rft_subject=Terrestrial Ecology&rft.type=dataset&rft.language=English Go to Data Provider

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A new tool to assist cost-effective decision making for invasive species management. It can map the current and likely future range and population densities of invasive species under different management scenarios, to assist the cost effective management of invasive animals and diseases. It incorporates a wide range of control methods and management strategies suited to different landscape zones and densities of invasive species. It is sensitive to environmental drivers (for example, preferred habitat and ease of movement through the landscape), social drivers (preferred control methods), and management costs and risks. It also has a user-friendly interface to enable land managers to run the model on a desktop computer to test the cost-effectiveness of different management strategies and produce reports that will help communicate the likely impacts of different strategies to senior decision makers, land managers and interest groups
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