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Scenario-led modelling of broadleaf forest expansion in Wales

Significant changes in the composition and extent of the UK forest cover are likely to take place in the coming decades. Current policy targets an increase in forest area, for example, the Welsh Government aims for forest expansion by 2030, and a purposeful shift from non-native conifers to broadlea...

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Detalles Bibliográficos
Autores principales: Manzoor, Syed Amir, Griffiths, Geoffrey, Latham, James, Lukac, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549994/
https://www.ncbi.nlm.nih.gov/pubmed/31218047
http://dx.doi.org/10.1098/rsos.190026
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author Manzoor, Syed Amir
Griffiths, Geoffrey
Latham, James
Lukac, Martin
author_facet Manzoor, Syed Amir
Griffiths, Geoffrey
Latham, James
Lukac, Martin
author_sort Manzoor, Syed Amir
collection PubMed
description Significant changes in the composition and extent of the UK forest cover are likely to take place in the coming decades. Current policy targets an increase in forest area, for example, the Welsh Government aims for forest expansion by 2030, and a purposeful shift from non-native conifers to broadleaved tree species, as identified by the UK Forestry Standard Guidelines on Biodiversity. Using the example of Wales, we aim to generate an evidence-based projection of the impact of contrasting policy scenarios on the state of forests in the near future, with the view of stimulating debate and aiding decisions concerning plausible outcomes of different policies. We quantified changes in different land use and land cover (LULC) classes in Wales between 2007 and 2015 and used a multi-layer perceptron–Markov chain ensemble modelling approach to project the state of Welsh forests in 2030 under the current and an alternative policy scenario. The current level of expansion and restoration of broadleaf forest in Wales is sufficient to deliver on existing policy goals. We also show effects of a more ambitious afforestation policy on the Welsh landscape. In a key finding, the highest intensity of broadleaf expansion is likely to shift from southeastern to more central areas of Wales. The study identifies the key predictors of LULC change in Wales. High-resolution future land cover simulation maps using these predictors offer an evidence-based tool for forest managers and government officials to test the effects of existing and alternative policy scenarios.
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spelling pubmed-65499942019-06-19 Scenario-led modelling of broadleaf forest expansion in Wales Manzoor, Syed Amir Griffiths, Geoffrey Latham, James Lukac, Martin R Soc Open Sci Earth Science Significant changes in the composition and extent of the UK forest cover are likely to take place in the coming decades. Current policy targets an increase in forest area, for example, the Welsh Government aims for forest expansion by 2030, and a purposeful shift from non-native conifers to broadleaved tree species, as identified by the UK Forestry Standard Guidelines on Biodiversity. Using the example of Wales, we aim to generate an evidence-based projection of the impact of contrasting policy scenarios on the state of forests in the near future, with the view of stimulating debate and aiding decisions concerning plausible outcomes of different policies. We quantified changes in different land use and land cover (LULC) classes in Wales between 2007 and 2015 and used a multi-layer perceptron–Markov chain ensemble modelling approach to project the state of Welsh forests in 2030 under the current and an alternative policy scenario. The current level of expansion and restoration of broadleaf forest in Wales is sufficient to deliver on existing policy goals. We also show effects of a more ambitious afforestation policy on the Welsh landscape. In a key finding, the highest intensity of broadleaf expansion is likely to shift from southeastern to more central areas of Wales. The study identifies the key predictors of LULC change in Wales. High-resolution future land cover simulation maps using these predictors offer an evidence-based tool for forest managers and government officials to test the effects of existing and alternative policy scenarios. The Royal Society 2019-05-22 /pmc/articles/PMC6549994/ /pubmed/31218047 http://dx.doi.org/10.1098/rsos.190026 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Earth Science
Manzoor, Syed Amir
Griffiths, Geoffrey
Latham, James
Lukac, Martin
Scenario-led modelling of broadleaf forest expansion in Wales
title Scenario-led modelling of broadleaf forest expansion in Wales
title_full Scenario-led modelling of broadleaf forest expansion in Wales
title_fullStr Scenario-led modelling of broadleaf forest expansion in Wales
title_full_unstemmed Scenario-led modelling of broadleaf forest expansion in Wales
title_short Scenario-led modelling of broadleaf forest expansion in Wales
title_sort scenario-led modelling of broadleaf forest expansion in wales
topic Earth Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549994/
https://www.ncbi.nlm.nih.gov/pubmed/31218047
http://dx.doi.org/10.1098/rsos.190026
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