By 2020, the rate of loss of all natural habitats, including forests, is at least halved and where feasible brought close to zero, and degradation and fragmentation is significantly reduced.

A Rapid Forest Assessment Method for Multiparty Monitoring Across Landscapes

The rapid forest assessment (RFA) approach is a collaborative natural resource management strategy to monitor forests by engaging stakeholders and citizen scientists in data collection. The RFA approach was designed to simplify the process of forest monitoring, allowing for wider geographic and temporal data collection while reducing the resources required for adaptive land management projects. RFA programs also educate stakeholders and citizens on issues related to forest management and restoration.

A Morphometric Approach for Stocking Walleye Fingerlings in Lakes Invaded by Rainbow Smelt

The stocking tool introduced in this management brief calculates the most appropriate size to stock Walleye fingerlings in lakes invaded by predatory Rainbow Smelt. The publication also suggests basic strategies for assessing the size structure of Rainbow Smelt populations, and increasing the effectiveness of Walleye stocking efforts.

Coordination of Information on the Environment (CORINE) Land Cover

Coordination of Information on the Environment (CORINE) Land Cover provides information on the biophysical characteristics of European land cover. The CORINE Land Cover project was established in the 1980s to standardise data collection on the state of land in Europe and to support environmental policy, and has become the primary spatial data source on land for the European Economic Area. Images are acquired by earth observation satellites. It is currently a product of the Copernicus Land Monitoring Service. Copernicus is the earth observation programme of the European Union.


The Rothamsted carbon model (RothC) is a model to assess soil matter turnover, which can indirectly indicate the state of degradation. It is a point-scale model and can be extrapolated to large spatial extents using remote sensing and GIS approaches. RothC is a model for the turnover of organic carbon in topsoil that allows for the effects of soil type, temperature, soil moisture and plant cover.