woodland expansion
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Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 270
Author(s):  
Olivia FitzGerald ◽  
Catherine Collins ◽  
Clive Potter

Woodland expansion on a significant scale is widely seen to be critical if governments are to achieve their net zero greenhouse gas ambitions. The United Kingdom government is committed to expanding tree cover from 13% to at least 17% in order to achieve net zero by 2050. With much lowland area under agricultural production, woodland expansion may be directed to upland areas, many of which are national parks under some degree of conservation jurisdiction. This may prove to be controversial, requiring full engagement with the interests of those individuals with a stake in their protection and management. In this paper, we explore how a range of stakeholders view the prospect of woodland expansion in Dartmoor National Park in southwest England, UK. Fifteen stakeholders—a mix of key informants and farmers—were shown different woodland expansion scenarios in map form and consulted using semi-structured interviews. The findings suggest widespread enthusiasm for woodland expansion, but with significant differences in terms of the scale and approach. Stakeholders raised topics of biodiversity gain, climate change mitigation, environmental benefits, cultural ecosystem gain, and forest crop benefits. Caution was expressed regarding target setting, the place of woodland expansion in the national debate, and the potential for harm from inappropriate new planting. The constraints identified were land tenure patterns, notably tenancy insecurity and ‘common land’ challenges, historical farming policy and culture, landscape objectives, and future policy design.



Ecosphere ◽  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Stephanie M. Freund ◽  
Beth A. Newingham ◽  
Jeanne C. Chambers ◽  
Alexandra K. Urza ◽  
Bruce A. Roundy ◽  
...  


2020 ◽  
Author(s):  
Chen Wang ◽  
Alessandro Gimona ◽  
Andrea Baggio Compagnucci ◽  
Yang Jiang

<p>Forests and woodlands offer many benefits to people. They can provide timber and food, store carbon to help deal with the effects of climate change, decrease flooding and soil erosion, and provide recreation for people and habitat for a multitude of species we care to conserve. Scottish forests cover roughly 19% of the country. The Scottish government has the ambition to add several thousand hectares a year over the next decades, to support the rural economy, the environment, and communities. It is important that a substantial proportion of the expansion is made up by native trees and shrub species due to better habitat for wildlife.</p><p>These challenges were explored with a case study of virtual forest landscape from Cairngorms National Park (CNP) which was used to test preferences for scenarios of future woodland expansion. Spatial Multi-criteria Analysis (sMCA) has been applied to decide where to plant new forests and woodlands, recognizing a range of land-use objectives while acknowledging concerns about possible conflicts with other uses of the land. The tools used in the development and implementation of the 3D model were PC and Mobile based, and enable the incorporation of interactive functionality for manipulating features. Model inputs comprise 5m DTM, 25cm Aerial Imagery, 3D Tree Species, GIS layers of Current Forest and Woodland Expansion inside CNP. Afforestation animation has been attached in Google My Maps. This is through setting different keyframes by storyboard camera path animation around the area of CNP. Stereo panorama has been applied to selection of woodland expansion scenarios (e.g. Broadleaved potential corridors, Conifer potential corridors)<strong>, </strong>which is viewed with mobile technology and Virtual Reality (VR) equipment.</p><p>The 3D model with simulation of woodland expansion was used at the event of 2019 Royal Highland Show and European Forest Institute Annual Conference 2019. Audience feedback suggested the enhancement of user interaction through VR has potential implications for the planning of future woodland to increase the effectiveness of their use and contribution to wider sustainable ecosystems.</p>



2019 ◽  
Vol 29 (1) ◽  
pp. 1-15 ◽  
Author(s):  
A.P Starke ◽  
C.J Geldenhuys ◽  
T.G O’Connor ◽  
C.S Everson


2018 ◽  
Vol 430 ◽  
pp. 366-379 ◽  
Author(s):  
Vanessa Burton ◽  
Darren Moseley ◽  
Calum Brown ◽  
Marc J. Metzger ◽  
Paul Bellamy


2018 ◽  
Vol 34 (7) ◽  
pp. 1693-1713 ◽  
Author(s):  
Vanessa Burton ◽  
Marc J. Metzger ◽  
Calum Brown ◽  
Darren Moseley
Keyword(s):  


2016 ◽  
Vol 23 (6) ◽  
pp. 2358-2369 ◽  
Author(s):  
Andrew L. Skowno ◽  
Mark W. Thompson ◽  
Jens Hiestermann ◽  
Brad Ripley ◽  
Adam G. West ◽  
...  


2016 ◽  
Vol 371 (1703) ◽  
pp. 20150311 ◽  
Author(s):  
Glenn R. Moncrieff ◽  
Simon Scheiter ◽  
Liam Langan ◽  
Antonio Trabucco ◽  
Steven I. Higgins

The extent of the savannah biome is expected to be profoundly altered by climatic change and increasing atmospheric CO 2 concentrations. Contrasting projections are given when using different modelling approaches to estimate future distributions. Furthermore, biogeographic variation within savannahs in plant function and structure is expected to lead to divergent responses to global change. Hence the use of a single model with a single savannah tree type will likely lead to biased projections. Here we compare and contrast projections of South American, African and Australian savannah distributions from the physiologically based Thornley transport resistance statistical distribution model (TTR-SDM)—and three versions of a dynamic vegetation model (DVM) designed and parametrized separately for specific continents. We show that attempting to extrapolate any continent-specific model globally biases projections. By 2070, all DVMs generally project a decrease in the extent of savannahs at their boundary with forests, whereas the TTR-SDM projects a decrease in savannahs at their boundary with aridlands and grasslands. This difference is driven by forest and woodland expansion in response to rising atmospheric CO 2 concentrations in DVMs, unaccounted for by the TTR-SDM. We suggest that the most suitable models of the savannah biome for future development are individual-based dynamic vegetation models designed for specific biogeographic regions. This article is part of the themed issue ‘Tropical grassy biomes: linking ecology, human use and conservation’.





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