Scenario-led modelling of broadleaf forest expansion in Wales
Syed Amir Manzoora b✉, Geoffrey Griffithsc, James Lathamd, Martin Lukáčb e
- aDepartment of Forestry and Range Management, Bahauddin Zakariya University, Bosan Road, Multan, Pakistan
- bSchool of Agriculture, Policy and Development, University of Reading, Reading, UK
- cDepartment of Geography and Environmental Sciences, University of Reading, Reading, UK
- dNatural Resources Wales, Wales, UK
- eFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
- ✉Corresponding author
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Abstract
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.
TL;DRThe study identifies the key predictors of LULC change in Wales and describes how 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. (Semantic Scholar)