Cargando…
Modelling Hen Harrier Dynamics to Inform Human-Wildlife Conflict Resolution: A Spatially-Realistic, Individual-Based Approach
Individual-based models have gained popularity in ecology, and enable simultaneous incorporation of spatial explicitness and population dynamic processes to understand spatio-temporal patterns of populations. We introduce an individual-based model for understanding and predicting spatial hen harrier...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4236102/ https://www.ncbi.nlm.nih.gov/pubmed/25405860 http://dx.doi.org/10.1371/journal.pone.0112492 |
_version_ | 1782345104807165952 |
---|---|
author | Heinonen, Johannes P. M. Palmer, Stephen C. F. Redpath, Steve M. Travis, Justin M. J. |
author_facet | Heinonen, Johannes P. M. Palmer, Stephen C. F. Redpath, Steve M. Travis, Justin M. J. |
author_sort | Heinonen, Johannes P. M. |
collection | PubMed |
description | Individual-based models have gained popularity in ecology, and enable simultaneous incorporation of spatial explicitness and population dynamic processes to understand spatio-temporal patterns of populations. We introduce an individual-based model for understanding and predicting spatial hen harrier (Circus cyaneus) population dynamics in Great Britain. The model uses a landscape with habitat, prey and game management indices. The hen harrier population was initialised according to empirical census estimates for 1988/89 and simulated until 2030, and predictions for 1998, 2004 and 2010 were compared to empirical census estimates for respective years. The model produced a good qualitative match to overall trends between 1989 and 2010. Parameter explorations revealed relatively high elasticity in particular to demographic parameters such as juvenile male mortality. This highlights the need for robust parameter estimates from empirical research. There are clearly challenges for replication of real-world population trends, but this model provides a useful tool for increasing understanding of drivers of hen harrier dynamics and focusing research efforts in order to inform conflict management decisions. |
format | Online Article Text |
id | pubmed-4236102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42361022014-11-21 Modelling Hen Harrier Dynamics to Inform Human-Wildlife Conflict Resolution: A Spatially-Realistic, Individual-Based Approach Heinonen, Johannes P. M. Palmer, Stephen C. F. Redpath, Steve M. Travis, Justin M. J. PLoS One Research Article Individual-based models have gained popularity in ecology, and enable simultaneous incorporation of spatial explicitness and population dynamic processes to understand spatio-temporal patterns of populations. We introduce an individual-based model for understanding and predicting spatial hen harrier (Circus cyaneus) population dynamics in Great Britain. The model uses a landscape with habitat, prey and game management indices. The hen harrier population was initialised according to empirical census estimates for 1988/89 and simulated until 2030, and predictions for 1998, 2004 and 2010 were compared to empirical census estimates for respective years. The model produced a good qualitative match to overall trends between 1989 and 2010. Parameter explorations revealed relatively high elasticity in particular to demographic parameters such as juvenile male mortality. This highlights the need for robust parameter estimates from empirical research. There are clearly challenges for replication of real-world population trends, but this model provides a useful tool for increasing understanding of drivers of hen harrier dynamics and focusing research efforts in order to inform conflict management decisions. Public Library of Science 2014-11-18 /pmc/articles/PMC4236102/ /pubmed/25405860 http://dx.doi.org/10.1371/journal.pone.0112492 Text en © 2014 Heinonen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Heinonen, Johannes P. M. Palmer, Stephen C. F. Redpath, Steve M. Travis, Justin M. J. Modelling Hen Harrier Dynamics to Inform Human-Wildlife Conflict Resolution: A Spatially-Realistic, Individual-Based Approach |
title | Modelling Hen Harrier Dynamics to Inform Human-Wildlife Conflict Resolution: A Spatially-Realistic, Individual-Based Approach |
title_full | Modelling Hen Harrier Dynamics to Inform Human-Wildlife Conflict Resolution: A Spatially-Realistic, Individual-Based Approach |
title_fullStr | Modelling Hen Harrier Dynamics to Inform Human-Wildlife Conflict Resolution: A Spatially-Realistic, Individual-Based Approach |
title_full_unstemmed | Modelling Hen Harrier Dynamics to Inform Human-Wildlife Conflict Resolution: A Spatially-Realistic, Individual-Based Approach |
title_short | Modelling Hen Harrier Dynamics to Inform Human-Wildlife Conflict Resolution: A Spatially-Realistic, Individual-Based Approach |
title_sort | modelling hen harrier dynamics to inform human-wildlife conflict resolution: a spatially-realistic, individual-based approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4236102/ https://www.ncbi.nlm.nih.gov/pubmed/25405860 http://dx.doi.org/10.1371/journal.pone.0112492 |
work_keys_str_mv | AT heinonenjohannespm modellinghenharrierdynamicstoinformhumanwildlifeconflictresolutionaspatiallyrealisticindividualbasedapproach AT palmerstephencf modellinghenharrierdynamicstoinformhumanwildlifeconflictresolutionaspatiallyrealisticindividualbasedapproach AT redpathstevem modellinghenharrierdynamicstoinformhumanwildlifeconflictresolutionaspatiallyrealisticindividualbasedapproach AT travisjustinmj modellinghenharrierdynamicstoinformhumanwildlifeconflictresolutionaspatiallyrealisticindividualbasedapproach |