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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Main Authors: 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.
Format: Dataset
Language:unknown
Published: 2016
Subjects:
geo
Online Access:https://doi.org/10.5061/dryad.q202d
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spelling fttriple:oai:gotriple.eu:50|dedup_wf_001::f21cf4886e7101b41c031a56ccb7be6d 2023-05-15T13:44:33+02:00 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 undefined unknown http://dx.doi.org/10.5061/dryad.q202d https://dx.doi.org/10.5061/dryad.q202d lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:90040 oai:easy.dans.knaw.nl:easy-dataset:90040 10.5061/dryad.q202d 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 Life sciences medicine and health care invasives conservation prioritisation Population Ecology modelling Holocene Felis catus Marion Island geo envir Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2016 fttriple https://doi.org/10.5061/dryad.q202d 2023-01-22T17:23:39Z 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 studyData files from the Marion Island feral cat eradication covering hunting, ... Dataset Antarc* Antarctic Marion Island Unknown Antarctic McMahon ENVELOPE(65.148,65.148,-70.835,-70.835)
institution Open Polar
collection Unknown
op_collection_id fttriple
language unknown
topic Life sciences
medicine and health care
invasives
conservation
prioritisation
Population Ecology
modelling
Holocene
Felis catus
Marion Island
geo
envir
spellingShingle Life sciences
medicine and health care
invasives
conservation
prioritisation
Population Ecology
modelling
Holocene
Felis catus
Marion Island
geo
envir
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 Life sciences
medicine and health care
invasives
conservation
prioritisation
Population Ecology
modelling
Holocene
Felis catus
Marion Island
geo
envir
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 studyData files from the Marion Island feral cat eradication covering hunting, ...
format Dataset
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
publishDate 2016
url https://doi.org/10.5061/dryad.q202d
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
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10.5061/dryad.q202d
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