Latest News

New paper: Soil stewardship, Ecosystem Services and One Health

Submitted by Claire Wood on

December 2015

A new paper has proposed that soil stewardship can act as a focus for synergy between Ecosystem Services research and environmental health research. It advocates that large-scale monitoring programmes like Countryside Survey could be exploited to better understand patterns and drivers of animal, human and ecosystem health, and their trade-offs with other important services.

Read paper HERE

Glastir Monitoring and Evaluation Programme - new portal launched

Submitted by Claire Wood on

July 2015

In Wales, CEH is responsible for the monitoring and evaluation of the Glastir agri-environment scheme. The methodology is based on the standardised Countryside Survey methods which has enabled reporting of trends which include CS and GMEP data.

A series of indicators have been agreed to provide a high level summary of changes in elements of Natural Capital.  Examples include changes in the extent of woodland, nectar plants and soil carbon.

 

MultiMOVE Model - v.2.0.1 available

Submitted by Claire Wood on

May 2015

Data from the Countryside Survey have been used to develop a set of models describing the environmental preferences of a large number of British plants. The models, available as an R package called MultiMOVE, are based on information about plant occurrence from the Countryside Survey vegetation plots in conjunction with a number of other national datasets. The models allow the occurrence of over 1,000 plant species to be predicted, given information on the climate, canopy height and Ellenberg indicator scores for fertility, pH and moisture.

More Countryside Survey datasets available

Submitted by Claire Wood on

February 2014

A series of Countryside Survey datasets have been deposited with the Environmental Information Data Centre (EIDC) at the Centre for Ecology and Hydrology. They include datasets on National estimates of habitat extent, National estimates of species extent and ITE Land Classifications.

These datasets are accessible via the CEH Information Gateway (https://gateway.ceh.ac.uk) and are fully citable. They have been assigned Digital Object Identifiers (DOIs)

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