This project was commissioned to estimate and compare the potential for carbon sequestration and GHG emissions mitigation that could be realised by creating different types of woodlands.
The analysis assesses the influence of different tree species, site and management factors, including the eventual use of harvested wood, on the potential carbon...
• Novel dendrochronological modelling was developed to explore oak stem growth trends.
• Trees with long-term AOD symptoms may have been predisposed many decades earlier.
• Diseased trees struggle to take advantage of favourable growing conditions.
• Historic episodes of stress may impact the future resilience of oaks to disturbance.
The British forestry sector lacks reliable dynamic growth models for stands of improved Sitka spruce, the most important commercial forest type in Great Britain. The aim of this study is to fill this gap by trialling a new modelling framework and to lay the foundations of a future dynamic growth simulator for that forest type. […]
We developed a climatic sensitive model to simultaneously estimate the emergence and survival of Corsican pine natural regeneration in Spain through lifetime analysis. This work is highly relevant for managing the species in a context of climate change. Our modelling approach represents a breakthrough in the state of the art of lifetime analysis.
Forest Research, Forestry & Land Scotland and Forestry England have co-developed an evidence based, repeatable approach for assessing the biodiversity potential of the National Forest Estate. Several extent, condition, connectivity and diversity metrics are measured and aggregated into a Combined Biodiversity Index. An online, interactive tool allows users to explore mapped scores.
Rita Razauskaite, PhD studentship, University of Aberdeen (2015-2018)
Forest soils contain large amounts of carbon, which can be lost through forest operations or changing environmental conditions. As forests are perennial with infrequent disturbance, soil organic carbon (SOC) accumulation differs from highly disturbed land uses, with significant accumulation occurring in deeper soil horizons...
This journal paper investigates the factors that drive deer damage to woodlands using the National Forest Inventory sample square data. We found that the likelihood of damage to trees depends on cross-scale interactions between climate, deer density and landscape structure. The complex interactive effects uncovered are difficult to interpret. We therefore provide an interactive Deer Damage Tool for practitioners to visualize how afforestation is likely to influence the probability of deer damage in different forests and regions across Britain.
We provide a sequential framework for improved multi-scale habitat suitability modelling or species distribution modelling. We apply it to the lesser horseshoe bat in Britain to demonstrate its improved accuracy and ecological inference.
An analysis of citizen science hedgehog roadkill data has revealed why, when and where vehicle-hedgehog collisions are most likely to occur. The approach involved a multi-scale habitat suitability model. Suburban areas with mixtures of urban and grassland were found to be roadkill hotspots.
How we manage priority habitats within increasingly fragmented landscapes is a critical conservation issue. Practitioners and policy makers are often faced with the dilemma of deciding where to focus limited resources, but evidence on where particular actions will have the largest return on investment is lacking. To aid this decision...
Exploration of the resilience of woodlands to future change by assessing how ecosystem service values and natural capital stocks of woodlands may be affected by change through the application of the UK National Ecosystem Assessment (UK NEA) scenarios and different management approaches, e.g. forest diversification through the application of forest management alternatives
FR have established how to detect young trees from space using synthetic aperture RADAR and machine learning techniques. This will support the monitoring of the planting of tens of thousands of restock sites and new woodland across Britain. In searching for a solution researchers hypothesised that even if the trees are too small to see, maybe we could ‘feel’ them using Synthetic Aperture Radar (SAR). A different technique to utilising optical data, SAR provides ‘fuzzy’ data on the presence of objects, their size, orientation and texture. The research found that this was possible and data on whether sites had tree cover or not has been derived for extensive areas of Britain and NFI are working to operationalise the process.
This project aims to quantify the historic impact and legacy of extreme climatic events on UK forests using tree-ring chronologies, climate and soil data. It focuses on species of major importance to UK forestry in order to provide the information basis for building adaptive capacity into future forest planning and decision making.
A multi-partner GB wide transdisciplinary project that takes a holistic approach to enhance diagnostics, identify factors that could lead to spread and formulate response strategies to mitigate the devastating effects of X. fastidiosa.
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