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Land use Habitat Diversity

Information on land use is key to understanding the habitat quality of agricultural landscapes. Agricultural land use significantly determines the abundance and diversity of birds, insects, and other groups of organisms. To reliably assess biodiversity in these landscapes, a sound data basis on agricultural land use, its diversity, and its changes over time is essential. Satellite-based remote sensing offers a powerful tool for this purpose, as it provides comprehensive, regular, and objective information on land cover and land use changes. Remote sensing data is used to continuously map the status and trends of the agricultural landscape at high spatial resolution with national coverage. The maps provide the basis for deriving indicators of habitat diversity as a foundation for national trend monitoring and the evaluation of measures to conserve organism diversity in the agricultural landscape. The indicators focus on land use diversity, which reflects both spatial patterns (e.g., crop diversity) and temporal sequences of agricultural use (e.g., crop rotation). Higher land use diversity is generally associated with higher species diversity and thus represents a key indicator for monitoring the habitat quality of the agricultural landscape.

Left: Sentinel-2 satellite image of a region south of Braunschweig, Lower Saxony; Centre: Mapping of the main crop types based on Copernicus satellite data; Right: Example illustration of ‘crop diversity’ for 1 km² hexagons. The figure illustrates, using an example, the process from the acquisition of a satellite image to the calculation and presentation of a (partial) indicator of habitat diversity. Crop diversity is a measure of how many different crop types occur and in what distribution within a section of the landscape (here: hexagons). The higher the value, the greater the crop diversity in the hexagon cell. High crop diversity generally has a positive effect on habitat diversity and thus on biodiversity in the agricultural landscape.
Data sources: Sentinel-2 (ESA); ATKIS DLM (geospatial base data: © GeoBasis-DE / BKG 2018).

Indicators of the Modul Land use