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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Online Access: | http://hdl.handle.net/2263/59210 https://doi.org/10.1111/2041-210X.12434 |
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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 . |
op_doi |
https://doi.org/10.1111/2041-210X.12434 |
container_title |
Methods in Ecology and Evolution |
container_volume |
6 |
container_issue |
12 |
container_start_page |
1407 |
op_container_end_page |
1416 |
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