Edge density of landuse patches from detailed land cover map in series of buffer areas

DOI

Based on detailed land cover map created by LandKlif project, we calculated the edge density of landuse patches (the sum of the lengths in meter of all edge segments of LUclass in the buffer, divided by the total buffer area in square meter, multiplied by 10,000 to convert to hectares) for 100 - 6000 meters (100-1000 meters with 100 meter interval, 1000 - 5000 meter with 500 meter interval) buffer area around landklif plots

We combined 3 different land cover maps to create a detailed land cover map for 6 km buffer area around landklif study plots. We used ATKIS 2019 land cover as basis, added details from Invekos 2019 and Corine 2018. We categorized the land cover into 6 classes, further subcategorized them into sub land use classes. The original classification from different sources are kept. In case of overlapping, the priority goes (from high to low): natural > forest > grassland > arable > urban > water. In case of overlapping between data source: transitional woodland-shrub from Corine > Invekos > ATKIS. Areas outside of Bayern are filled with only Corine data. The coordinate system of the shapefile is ETRS89 / UTM zone 32N (EPSG:25832).

Identifier
DOI https://doi.org/10.58160/85
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.58160/85
Provenance
Creator Zhang, Jie ORCID logo; Müller, Jörg ORCID logo; Steffan-Dewenter, Ingolf ORCID logo
Publisher University of Würzburg
Contributor RADAR
Publication Year 2023
Funding Reference Bavarian State Ministry for Science and Art https://ror.org/01a44gd51 ROR
Rights Open Access; Creative Commons Attribution Non Commercial 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by-nc/4.0/legalcode
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/x-tar
Discipline Biospheric Sciences; Ecology; Geography; Geosciences; Geospheric Sciences; Natural Sciences
Spatial Coverage GERMANY