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A model of the extent and distribution of woody linear features in rural Great Britain
Hedges and lines of trees (woody linear features) are important boundaries that connect and enclose habitats, buffer the effects of land management, and enhance biodiversity in increasingly impoverished landscapes. Despite their acknowledged importance in the wider countryside, they are usually not...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192871/ https://www.ncbi.nlm.nih.gov/pubmed/28035277 http://dx.doi.org/10.1002/ece3.2607 |
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author | Scholefield, Paul Morton, Dan Rowland, Clare Henrys, Peter Howard, David Norton, Lisa |
author_facet | Scholefield, Paul Morton, Dan Rowland, Clare Henrys, Peter Howard, David Norton, Lisa |
author_sort | Scholefield, Paul |
collection | PubMed |
description | Hedges and lines of trees (woody linear features) are important boundaries that connect and enclose habitats, buffer the effects of land management, and enhance biodiversity in increasingly impoverished landscapes. Despite their acknowledged importance in the wider countryside, they are usually not considered in models of landscape function due to their linear nature and the difficulties of acquiring relevant data about their character, extent, and location. We present a model which uses national datasets to describe the distribution of woody linear features along boundaries in Great Britain. The method can be applied for other boundary types and in other locations around the world across a range of spatial scales where different types of linear feature can be separated using characteristics such as height or width. Satellite‐derived Land Cover Map 2007 (LCM2007) provided the spatial framework for locating linear features and was used to screen out areas unsuitable for their occurrence, that is, offshore, urban, and forest areas. Similarly, Ordnance Survey Land‐Form PANORAMA®, a digital terrain model, was used to screen out where they do not occur. The presence of woody linear features on boundaries was modelled using attributes from a canopy height dataset obtained by subtracting a digital terrain map (DTM) from a digital surface model (DSM). The performance of the model was evaluated against existing woody linear feature data in Countryside Survey across a range of scales. The results indicate that, despite some underestimation, this simple approach may provide valuable information on the extents and locations of woody linear features in the countryside at both local and national scales. |
format | Online Article Text |
id | pubmed-5192871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-51928712016-12-29 A model of the extent and distribution of woody linear features in rural Great Britain Scholefield, Paul Morton, Dan Rowland, Clare Henrys, Peter Howard, David Norton, Lisa Ecol Evol Original Research Hedges and lines of trees (woody linear features) are important boundaries that connect and enclose habitats, buffer the effects of land management, and enhance biodiversity in increasingly impoverished landscapes. Despite their acknowledged importance in the wider countryside, they are usually not considered in models of landscape function due to their linear nature and the difficulties of acquiring relevant data about their character, extent, and location. We present a model which uses national datasets to describe the distribution of woody linear features along boundaries in Great Britain. The method can be applied for other boundary types and in other locations around the world across a range of spatial scales where different types of linear feature can be separated using characteristics such as height or width. Satellite‐derived Land Cover Map 2007 (LCM2007) provided the spatial framework for locating linear features and was used to screen out areas unsuitable for their occurrence, that is, offshore, urban, and forest areas. Similarly, Ordnance Survey Land‐Form PANORAMA®, a digital terrain model, was used to screen out where they do not occur. The presence of woody linear features on boundaries was modelled using attributes from a canopy height dataset obtained by subtracting a digital terrain map (DTM) from a digital surface model (DSM). The performance of the model was evaluated against existing woody linear feature data in Countryside Survey across a range of scales. The results indicate that, despite some underestimation, this simple approach may provide valuable information on the extents and locations of woody linear features in the countryside at both local and national scales. John Wiley and Sons Inc. 2016-11-22 /pmc/articles/PMC5192871/ /pubmed/28035277 http://dx.doi.org/10.1002/ece3.2607 Text en © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Scholefield, Paul Morton, Dan Rowland, Clare Henrys, Peter Howard, David Norton, Lisa A model of the extent and distribution of woody linear features in rural Great Britain |
title | A model of the extent and distribution of woody linear features in rural Great Britain |
title_full | A model of the extent and distribution of woody linear features in rural Great Britain |
title_fullStr | A model of the extent and distribution of woody linear features in rural Great Britain |
title_full_unstemmed | A model of the extent and distribution of woody linear features in rural Great Britain |
title_short | A model of the extent and distribution of woody linear features in rural Great Britain |
title_sort | model of the extent and distribution of woody linear features in rural great britain |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192871/ https://www.ncbi.nlm.nih.gov/pubmed/28035277 http://dx.doi.org/10.1002/ece3.2607 |
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