Details of Award
NERC Reference : NE/V021117/1
Creative Adaptive Solutions for Treescapes of Rivers (CASTOR)
Grant Award
- Principal Investigator:
- Dr M Dennis, The University of Manchester, Environment, Education and Development
- Co-Investigator:
- Dr J Larsen, University of Birmingham, Sch of Geography, Earth & Env Sciences
- Co-Investigator:
- Professor H O'Regan, University of Nottingham, Archaeology
- Co-Investigator:
- Dr S Carver, University of Leeds, Sch of Geography
- Co-Investigator:
- Professor I Convery, University of Cumbria, Inst of Sci, Nat Res & Outdoor Studies
- Co-Investigator:
- Dr P da Conceic?o Bispo, The University of Manchester, Environment, Education and Development
- Co-Investigator:
- Dr J E Taylor, The University of Manchester, Arts Languages and Cultures
- Co-Investigator:
- Dr M Smith, University of Leeds, Sch of Geography
- Co-Investigator:
- Dr J J Huck, The University of Manchester, Environment, Education and Development
- Co-Investigator:
- Professor P James, University of Salford, Sch of Environment & Life Sciences
- Co-Investigator:
- Dr MJ Klaar, University of Leeds, Sch of Geography
- Co-Investigator:
- Dr JC Ashton, The University of Manchester, Arts Languages and Cultures
- Co-Investigator:
- Dr C Holt, University of Cumbria, Inst of Sci, Nat Res & Outdoor Studies
- Co-Investigator:
- Dr A Weatherall, University of Cumbria, Inst of Sci, Nat Res & Outdoor Studies
- Science Area:
- Atmospheric
- Earth
- Freshwater
- Marine
- Terrestrial
- Overall Classification:
- Unknown
- ENRIs:
- Biodiversity
- Environmental Risks and Hazards
- Global Change
- Natural Resource Management
- Pollution and Waste
- Science Topics:
- Carbon capture and storage
- Climate & Climate Change
- Community Ecology
- Habitat modification
- Environmental economics
- Hydrological Processes
- Community Art inc A & H
- Abstract:
- Critical interventions are required if the UK is to reach its afforestation target of 17% by 2050. The CASTOR project both elucidates and provides solutions for the challenges that will be faced, with a specific focus on riparian landscapes in northern England. Our focus on riparian treescapes as critical pathways to reforestation takes advantage of these as natural confluences, capitalizing on three key opportunities: 1. Extent: there are over 240,000 km of rivers and streams in England, meaning the potential for restoring riparian woodland presents a substantial opportunity for meeting the UK government's goal of 17% tree cover by 2050 coupled with associated increases in carbon storage and sequestration, water quality amelioration, habitat creation and flood prevention. 2. Restoration: although not all rivers will be suitable for reforestation, given the levels of degradation of riparian zones, these habitats present a major opportunity for large-scale environmental restoration and rewilding. A focus on catchment dynamics and connectivity offers a key opportunity for the development of nature-based solutions to ongoing flood risk for an increasing number of communities. 3. Networks for nature recovery: riparian zones are a key ecological component of resilient landscapes. For example, riparian habitats often have greater species richness than adjacent land-uses. Riparian forests have the ability to connect woodland habitats, providing a blueprint for a Nature Recovery Network. These synergistic properties and our integrated approach directly and creatively address the government's 'Ten Point Plan for a Green Industrial Revolution' highlighting the need for a 'joined-up' approach to land management and nature recovery. The CASTOR will co-produce knowledge and identify pathways to resilient riparian treescapes by: 1. mapping the potential for riparian treescape expansion in the UK and identifying ecological, historical and socio-economic connections associated with riparian corridors. 2. mapping literary, historical, ecological, and cultural heritage values in the context of expanding/changing treescapes (and perceptions of "wildness"). 3. exploring the use of Social Arts Practice and participatory methods to co-produce knowledge on multi-scalar perceptions, values and motivations towards riparian treescape corridors. 4. critically evaluating financial incentives and opportunities for stakeholders; engaging with land-managers in rural areas. 5. developing alternative scenarios (explored through virtual reality, arts installations, workshops and web-based GIS) related to natural and assisted regeneration (rewilding) of river corridors. 6. developing spatial models (of connectivity, hydrology, species diversity, regeneration stage) to assess the resilience of riparian treescapes, as self-organizing systems, and the landscapes and communities they connect. 7. exploring through engagement with arts practitioners (e.g. creative writing, artists in residence, etc.) the community connections - temporal/spatial - to riparian woodlands. Our novel interdisciplinary perspectives and technology will deliver: 1) a valuation of riparian treescapes for direct incorporation into the public money for public goods framework; 2) critical examination of socio-hydro-ecological feedbacks to underpin the recovery of degraded riparian landscapes, leveraging rewilding approaches to increase riparian biodiversity and carbon storage; and 3) an emergent vision that aligns long-term cultural values with community perspectives to ensure the future of UK treescapes. These outcomes will invigorate community engagement and recovery of riparian landscapes and ecosystems within a model that will be applicable throughout the UK.
- NERC Reference:
- NE/V021117/1
- Grant Stage:
- Awaiting Event/Action
- Scheme:
- Directed (Research Programmes)
- Grant Status:
- Active
- Programme:
- Treescapes
This grant award has a total value of £1,993,614
FDAB - Financial Details (Award breakdown by headings)
DI - Other Costs | Indirect - Indirect Costs | DA - Investigators | DI - Staff | DA - Estate Costs | DI - T&S | DA - Other Directly Allocated |
---|---|---|---|---|---|---|
£113,860 | £804,343 | £285,540 | £565,136 | £149,927 | £69,497 | £5,310 |
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