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Modelling Eurasian beaver foraging habitat and dam suitability, for predicting the location and number of dams throughout catchments in Great Britain
Eurasian beaver (Castor fiber) populations are expanding across Europe. Depending on location, beaver dams bring multiple benefits and/or require management. Using nationally available data, we developed: a Beaver Forage Index (BFI), identifying beaver foraging habitat, and a Beaver Dam Capacity (BD...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319418/ https://www.ncbi.nlm.nih.gov/pubmed/32647501 http://dx.doi.org/10.1007/s10344-020-01379-w |
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author | Graham, Hugh A. Puttock, Alan Macfarlane, William W. Wheaton, Joseph M. Gilbert, Jordan T. Campbell-Palmer, Róisín Elliott, Mark Gaywood, Martin J. Anderson, Karen Brazier, Richard E. |
author_facet | Graham, Hugh A. Puttock, Alan Macfarlane, William W. Wheaton, Joseph M. Gilbert, Jordan T. Campbell-Palmer, Róisín Elliott, Mark Gaywood, Martin J. Anderson, Karen Brazier, Richard E. |
author_sort | Graham, Hugh A. |
collection | PubMed |
description | Eurasian beaver (Castor fiber) populations are expanding across Europe. Depending on location, beaver dams bring multiple benefits and/or require management. Using nationally available data, we developed: a Beaver Forage Index (BFI), identifying beaver foraging habitat, and a Beaver Dam Capacity (BDC) model, classifying suitability of river reaches for dam construction, to estimate location and number of dams at catchment scales. Models were executed across three catchments, in Great Britain (GB), containing beaver. An area of 6747 km(2) was analysed for BFI and 16,739 km of stream for BDC. Field surveys identified 258 km of channel containing beaver activity and 89 dams, providing data to test predictions. Models were evaluated using a categorical binomial Bayesian framework to calculate probability of foraging and dam construction. BFI and BDC models successfully categorised the use of reaches for foraging and damming, with higher scoring reaches being preferred. Highest scoring categories were ca. 31 and 79 times more likely to be used than the lowest for foraging and damming respectively. Zero-inflated negative binomial regression showed that modelled dam capacity was significantly related (p = 0.01) to observed damming and was used to predict numbers of dams that may occur. Estimated densities of dams, averaged across each catchment, ranged from 0.4 to 1.6 dams/km, though local densities may be up to 30 dams/km. These models provide fundamental information describing the distribution of beaver foraging habitat, where dams may be constructed and how many may occur. This supports the development of policy and management concerning the reintroduction and recolonisation of beaver. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10344-020-01379-w) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7319418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-73194182020-07-07 Modelling Eurasian beaver foraging habitat and dam suitability, for predicting the location and number of dams throughout catchments in Great Britain Graham, Hugh A. Puttock, Alan Macfarlane, William W. Wheaton, Joseph M. Gilbert, Jordan T. Campbell-Palmer, Róisín Elliott, Mark Gaywood, Martin J. Anderson, Karen Brazier, Richard E. Eur. J. Wildl. Res Original Article Eurasian beaver (Castor fiber) populations are expanding across Europe. Depending on location, beaver dams bring multiple benefits and/or require management. Using nationally available data, we developed: a Beaver Forage Index (BFI), identifying beaver foraging habitat, and a Beaver Dam Capacity (BDC) model, classifying suitability of river reaches for dam construction, to estimate location and number of dams at catchment scales. Models were executed across three catchments, in Great Britain (GB), containing beaver. An area of 6747 km(2) was analysed for BFI and 16,739 km of stream for BDC. Field surveys identified 258 km of channel containing beaver activity and 89 dams, providing data to test predictions. Models were evaluated using a categorical binomial Bayesian framework to calculate probability of foraging and dam construction. BFI and BDC models successfully categorised the use of reaches for foraging and damming, with higher scoring reaches being preferred. Highest scoring categories were ca. 31 and 79 times more likely to be used than the lowest for foraging and damming respectively. Zero-inflated negative binomial regression showed that modelled dam capacity was significantly related (p = 0.01) to observed damming and was used to predict numbers of dams that may occur. Estimated densities of dams, averaged across each catchment, ranged from 0.4 to 1.6 dams/km, though local densities may be up to 30 dams/km. These models provide fundamental information describing the distribution of beaver foraging habitat, where dams may be constructed and how many may occur. This supports the development of policy and management concerning the reintroduction and recolonisation of beaver. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10344-020-01379-w) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-05-07 2020 /pmc/articles/PMC7319418/ /pubmed/32647501 http://dx.doi.org/10.1007/s10344-020-01379-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Graham, Hugh A. Puttock, Alan Macfarlane, William W. Wheaton, Joseph M. Gilbert, Jordan T. Campbell-Palmer, Róisín Elliott, Mark Gaywood, Martin J. Anderson, Karen Brazier, Richard E. Modelling Eurasian beaver foraging habitat and dam suitability, for predicting the location and number of dams throughout catchments in Great Britain |
title | Modelling Eurasian beaver foraging habitat and dam suitability, for predicting the location and number of dams throughout catchments in Great Britain |
title_full | Modelling Eurasian beaver foraging habitat and dam suitability, for predicting the location and number of dams throughout catchments in Great Britain |
title_fullStr | Modelling Eurasian beaver foraging habitat and dam suitability, for predicting the location and number of dams throughout catchments in Great Britain |
title_full_unstemmed | Modelling Eurasian beaver foraging habitat and dam suitability, for predicting the location and number of dams throughout catchments in Great Britain |
title_short | Modelling Eurasian beaver foraging habitat and dam suitability, for predicting the location and number of dams throughout catchments in Great Britain |
title_sort | modelling eurasian beaver foraging habitat and dam suitability, for predicting the location and number of dams throughout catchments in great britain |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319418/ https://www.ncbi.nlm.nih.gov/pubmed/32647501 http://dx.doi.org/10.1007/s10344-020-01379-w |
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