We use some essential cookies to make this website work.
We’d like to set additional cookies to understand how you use forestresearch.gov.uk, remember your settings and improve our services.
Preparing to search
The LANDWISE project is a collaboration of academics, policy makers and practitioners working in the Upper Thames catchments to investigate the impact of land use and management on flood risk in a lowland agricultural catchment. It is led by Reading University and is one of three NERC funded projects evaluating natural flood management measures for flood alleviation. A particular focus of the research is to measure and model the effectiveness of measures such as crop choice, land preparation, building soil organic matter and tree planting for reducing small to large flood events across a range of scales, from local to a large river basin.
Use existing data, maps and local knowledge of current land use and management to create scenarios for modelling experiments to assess the impact of NFM measures on the extent of historic and predicted flood events
Collect field data on soil infiltration and below-ground storage in fields incorporating a variety of land-based NFM measures
Use remote sensor techniques to survey vegetation and soil moisture across the catchment
Run land use/NFM scenarios in established hydrological models to explore impacts
Create web applications to display and explore outputs of modelling experiments
This four-year project started in November 2017
Follow us on Twitter using hashtag #LandwiseNFM
Our contribution is focused on collating and analysing a range of spatial datasets to better understand communities at risk and opportunities for natural flood management to reduce downstream flooding. The results will be used to create land use scenarios for modelling experiments to guide future policy decisions. Tom Nisbet is a member of the Project Leadership Group.
Landwise is funded by the Natural Environment Research Council’s (NERC) Evaluating the Effectiveness of Natural Flood Management research programme.
Research & Consultancy: University of Reading, British Geological Survey, Centre for Ecology and Hydrology, University of Gloucestershire, Forest Research, JBA Consulting, CGI Group, Institute for Environmental Analytics JBA Trust, University of Sheffield, Agrimetrics
Policy: Environment Agency, Natural England, Forestry Commission
Flood Groups: National Flood Forum, Loddon Valley Residents Association, Swallowfield Flood Resilience Group, Pang Valley Flood Forum
Farm Advisors: National Farmers Union, Farm and Wildlife Advisory Group (SE), Farm and Wildlife Advisory Group (SW), Arcadian Farm Advice
Farmers: Wilts Soil and Root Innovators, Penn Croft Farm, Hendred Farm Partnership, Fincham Farm Partnership, Yatesbury House Farm, Kingsclere Estate, Farmer Guardians of the Upper Thames
Conservation NGOs: The National Trust, Loddon Fisheries & Conservation Consultative, Blackwater Valley Countryside Partnership, Wild Oxfordshire, Foundation for Water Research, Action for River Kennet, South East Rivers Trust, Freshwater Habitats Trust, Berkshire, Buckinghamshire & Oxfordshire Wildlife Trust, Hampshire and Isle of Wight Wildlife Trust, Westcountry Rivers Trust
Local Flood Authorities: Wokingham Borough Council, West Berkshire Council, Hart District Council, Swindon Borough Council, Thames Regional Flood & Coastal Committee
Water Utilities: Affinity Water, Thames Water
Cookies are files saved on your phone, tablet or computer when you visit a website.
We use 3 types of cookie. You can choose which cookies you're happy for us to use.
These essential cookies do things like remember your progress through a form. They always need to be on.
We use Google Analytics to measure how you use the website so we can improve it based on user needs. Google Analytics sets cookies that store anonymised information about: how you got to the site the pages you visit on forestresearch.gov.uk and how long you spend on each page what you click on while you're visiting the site
Some forestresearch.gov.uk pages may contain content from other sites, like YouTube or Flickr, which may set their own cookies. These sites are sometimes called ‘third party’ services. This tells us how many people are seeing the content and whether it’s useful.