Data from: 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 agent-based, and thus best suited to small spatial or tempora...
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ftzenodo:oai:zenodo.org:4974610 2024-09-15T17:44:31+00:00 Data from: Using the Spatial Population Abundance Dynamics Engine for conservation management Beeton, Nicholas J. McMahon, Clive R. Williamson, Grant Potts, Joanne Bloomer, Jonathan Bester, Marthán N. Forbes, Lawrence K. Johnson, Christopher N. Williamson, Grant J. Johnson, Chris N. Forbes, Larry K. 2016-06-25 https://doi.org/10.5061/dryad.q202d unknown Zenodo https://doi.org/10.1111/2041-210X.12434 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.q202d oai:zenodo.org:4974610 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode invasives prioritisation Population Ecology Holocene Felis catus info:eu-repo/semantics/other 2016 ftzenodo https://doi.org/10.5061/dryad.q202d10.1111/2041-210X.12434 2024-07-25T11:00:19Z 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 agent-based, 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. Marion Island case study Data files from the Marion Island feral cat eradication covering ... Other/Unknown Material Antarc* Antarctic Marion Island Zenodo |
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invasives prioritisation Population Ecology Holocene Felis catus |
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invasives prioritisation Population Ecology Holocene Felis catus Beeton, Nicholas J. McMahon, Clive R. Williamson, Grant Potts, Joanne Bloomer, Jonathan Bester, Marthán N. Forbes, Lawrence K. Johnson, Christopher N. Williamson, Grant J. Johnson, Chris N. Forbes, Larry K. Data from: Using the Spatial Population Abundance Dynamics Engine for conservation management |
topic_facet |
invasives prioritisation Population Ecology Holocene Felis catus |
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 agent-based, 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. Marion Island case study Data files from the Marion Island feral cat eradication covering ... |
format |
Other/Unknown Material |
author |
Beeton, Nicholas J. McMahon, Clive R. Williamson, Grant Potts, Joanne Bloomer, Jonathan Bester, Marthán N. Forbes, Lawrence K. Johnson, Christopher N. Williamson, Grant J. Johnson, Chris N. Forbes, Larry K. |
author_facet |
Beeton, Nicholas J. McMahon, Clive R. Williamson, Grant Potts, Joanne Bloomer, Jonathan Bester, Marthán N. Forbes, Lawrence K. Johnson, Christopher N. Williamson, Grant J. Johnson, Chris N. Forbes, Larry K. |
author_sort |
Beeton, Nicholas J. |
title |
Data from: Using the Spatial Population Abundance Dynamics Engine for conservation management |
title_short |
Data from: Using the Spatial Population Abundance Dynamics Engine for conservation management |
title_full |
Data from: Using the Spatial Population Abundance Dynamics Engine for conservation management |
title_fullStr |
Data from: Using the Spatial Population Abundance Dynamics Engine for conservation management |
title_full_unstemmed |
Data from: Using the Spatial Population Abundance Dynamics Engine for conservation management |
title_sort |
data from: using the spatial population abundance dynamics engine for conservation management |
publisher |
Zenodo |
publishDate |
2016 |
url |
https://doi.org/10.5061/dryad.q202d |
genre |
Antarc* Antarctic Marion Island |
genre_facet |
Antarc* Antarctic Marion Island |
op_relation |
https://doi.org/10.1111/2041-210X.12434 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.q202d oai:zenodo.org:4974610 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.q202d10.1111/2041-210X.12434 |
_version_ |
1810492148432240640 |