Using the spatial population abundance dynamics engine for conservation management

1. An explicit spatial understanding of population dynamics is often critical for effective management of wild populations. Sophisticated approaches are available to simulate these dynamics, but are largely either spatially homogeneous or agentbased, and thus best suited to small spatial or temporal...

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Published in:Methods in Ecology and Evolution
Main Authors: Beeton, Nicholas J., McMahon, Clive Reginald, Williamson, Grant, Potts, Joanne, Bloomer, Jonathan, Bester, Marthan Nieuwoudt, Forbes, Larry K., Johnson, Chris N.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2015
Subjects:
Online Access:http://hdl.handle.net/2263/59210
https://doi.org/10.1111/2041-210X.12434
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spelling ftunivpretoria:oai:repository.up.ac.za:2263/59210 2023-05-15T14:02:58+02:00 Using the spatial population abundance dynamics engine for conservation management Beeton, Nicholas J. McMahon, Clive Reginald Williamson, Grant Potts, Joanne Bloomer, Jonathan Bester, Marthan Nieuwoudt Forbes, Larry K. Johnson, Chris N. 2015-12 http://hdl.handle.net/2263/59210 https://doi.org/10.1111/2041-210X.12434 en eng Wiley http://hdl.handle.net/2263/59210 Beeton, NJ, McMahon, CR, Williamson, R, Potts, J, Bloomer, J, Bester, MN, Forbes, LK & Johnson, CN 2015, 'Using the spatial population abundance dynamics engine for conservation management', Methods in Ecology and Evolution, vol. 6, pp. 1407-1416. 2041-210X (online) doi:10.1111/2041-210X.12434 © 2015 The Authors. Methods in Ecology and Evolution © 2015 British Ecological Society. This is the pre-peer reviewed version of the following article : Using the spatial population abundance dynamics engine for conservation management, Methods in Ecology and Evolution, vol. 6, no. y, pp. 1407-1416, 2015. doi : 10.1111/2041-210X.12434. The definite version is available at : http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)2041-210X . Invasive species Eradication Demography Scenario building Felis catus Wildlife disease Spatial ecology Spatial population abundance dynamics engine (SPADE) Postprint Article 2015 ftunivpretoria https://doi.org/10.1111/2041-210X.12434 2022-05-31T13:24:46Z 1. An explicit spatial understanding of population dynamics is often critical for effective management of wild populations. Sophisticated approaches are available to simulate these dynamics, but are largely either spatially homogeneous or agentbased, and thus best suited to small spatial or temporal scales. These approaches also often ignore financial decisions crucial to choosing management approaches on the basis of cost-effectiveness. 2. We created a user-friendly and flexible modelling framework for simulating these population issues at large spatial scales – the Spatial Population Abundance Dynamics Engine (SPADE). SPADE is based on the STAR model (McMahon et al. 2010) and uses a reaction-diffusion approach to model population trajectories and a cost-benefit analysis technique to calculate optimal management strategies over long periods and across broad spatial scales. It expands on STAR by incorporating species interactions and multiple concurrent management strategies, and by allowing full user control of functional forms and parameters. 3. We used SPADE to simulate the eradication of feral domestic cats Felis catus on sub-Antarctic Marion Island (Bester et al. 2002) and compared modelled outputs to observed data. The parameters of the best-fitting model reflected the conditions of the management programme, and the model successfully simulated the observed movement of the cat population to the southern and eastern portion of the island under hunting pressure. We further demonstrated that none of the management strategies would likely have been successful within a reasonable timeframe if performed in isolation. 4. SPADE is applicable to a wide range of population management problems, and allows easy generation, modification and analysis of management scenarios. It is a useful tool for the planning, evaluation and optimisation of the management of wild populations, and can be used without specialised training. Appendix S1. SPADE manual. Appendix S2. Details of algorithms used in SPADE. Appendix S3. ... Article in Journal/Newspaper Antarc* Antarctic Marion Island University of Pretoria: UPSpace Antarctic McMahon ENVELOPE(65.148,65.148,-70.835,-70.835) Methods in Ecology and Evolution 6 12 1407 1416
institution Open Polar
collection University of Pretoria: UPSpace
op_collection_id ftunivpretoria
language English
topic Invasive species
Eradication
Demography
Scenario building
Felis catus
Wildlife disease
Spatial ecology
Spatial population abundance dynamics engine (SPADE)
spellingShingle Invasive species
Eradication
Demography
Scenario building
Felis catus
Wildlife disease
Spatial ecology
Spatial population abundance dynamics engine (SPADE)
Beeton, Nicholas J.
McMahon, Clive Reginald
Williamson, Grant
Potts, Joanne
Bloomer, Jonathan
Bester, Marthan Nieuwoudt
Forbes, Larry K.
Johnson, Chris N.
Using the spatial population abundance dynamics engine for conservation management
topic_facet Invasive species
Eradication
Demography
Scenario building
Felis catus
Wildlife disease
Spatial ecology
Spatial population abundance dynamics engine (SPADE)
description 1. An explicit spatial understanding of population dynamics is often critical for effective management of wild populations. Sophisticated approaches are available to simulate these dynamics, but are largely either spatially homogeneous or agentbased, and thus best suited to small spatial or temporal scales. These approaches also often ignore financial decisions crucial to choosing management approaches on the basis of cost-effectiveness. 2. We created a user-friendly and flexible modelling framework for simulating these population issues at large spatial scales – the Spatial Population Abundance Dynamics Engine (SPADE). SPADE is based on the STAR model (McMahon et al. 2010) and uses a reaction-diffusion approach to model population trajectories and a cost-benefit analysis technique to calculate optimal management strategies over long periods and across broad spatial scales. It expands on STAR by incorporating species interactions and multiple concurrent management strategies, and by allowing full user control of functional forms and parameters. 3. We used SPADE to simulate the eradication of feral domestic cats Felis catus on sub-Antarctic Marion Island (Bester et al. 2002) and compared modelled outputs to observed data. The parameters of the best-fitting model reflected the conditions of the management programme, and the model successfully simulated the observed movement of the cat population to the southern and eastern portion of the island under hunting pressure. We further demonstrated that none of the management strategies would likely have been successful within a reasonable timeframe if performed in isolation. 4. SPADE is applicable to a wide range of population management problems, and allows easy generation, modification and analysis of management scenarios. It is a useful tool for the planning, evaluation and optimisation of the management of wild populations, and can be used without specialised training. Appendix S1. SPADE manual. Appendix S2. Details of algorithms used in SPADE. Appendix S3. ...
format Article in Journal/Newspaper
author Beeton, Nicholas J.
McMahon, Clive Reginald
Williamson, Grant
Potts, Joanne
Bloomer, Jonathan
Bester, Marthan Nieuwoudt
Forbes, Larry K.
Johnson, Chris N.
author_facet Beeton, Nicholas J.
McMahon, Clive Reginald
Williamson, Grant
Potts, Joanne
Bloomer, Jonathan
Bester, Marthan Nieuwoudt
Forbes, Larry K.
Johnson, Chris N.
author_sort Beeton, Nicholas J.
title Using the spatial population abundance dynamics engine for conservation management
title_short Using the spatial population abundance dynamics engine for conservation management
title_full Using the spatial population abundance dynamics engine for conservation management
title_fullStr Using the spatial population abundance dynamics engine for conservation management
title_full_unstemmed Using the spatial population abundance dynamics engine for conservation management
title_sort using the spatial population abundance dynamics engine for conservation management
publisher Wiley
publishDate 2015
url http://hdl.handle.net/2263/59210
https://doi.org/10.1111/2041-210X.12434
long_lat ENVELOPE(65.148,65.148,-70.835,-70.835)
geographic Antarctic
McMahon
geographic_facet Antarctic
McMahon
genre Antarc*
Antarctic
Marion Island
genre_facet Antarc*
Antarctic
Marion Island
op_relation http://hdl.handle.net/2263/59210
Beeton, NJ, McMahon, CR, Williamson, R, Potts, J, Bloomer, J, Bester, MN, Forbes, LK & Johnson, CN 2015, 'Using the spatial population abundance dynamics engine for conservation management', Methods in Ecology and Evolution, vol. 6, pp. 1407-1416.
2041-210X (online)
doi:10.1111/2041-210X.12434
op_rights © 2015 The Authors. Methods in Ecology and Evolution © 2015 British Ecological Society. This is the pre-peer reviewed version of the following article : Using the spatial population abundance dynamics engine for conservation management, Methods in Ecology and Evolution, vol. 6, no. y, pp. 1407-1416, 2015. doi : 10.1111/2041-210X.12434. The definite version is available at : http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)2041-210X .
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