Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1007/s10980-006-9035-9
Volltext Shareable Link
Titel (primär) The influence of thematic resolution on metric selection for biodiversity monitoring in agricultural landscapes
Autor Bailey, D.; Billeter, R.; Aviron, S.; Schweiger, O.; Herzog, F.
Quelle Landscape Ecology
Erscheinungsjahr 2007
Department BZF
Band/Volume 22
Heft 3
Seite von 461
Seite bis 473
Sprache englisch
Keywords Temperate Europe; landscape structure; functional biodiversity; vascular plants; arthropods; birds; biodiversity hot spots
Abstract The objective of this paper is to investigate the relationship between landscape pattern metrics and agricultural biodiversity at the Temperate European scale, exploring the role of thematic resolution and a suite of biological and functional groups. Factor analyses to select landscape-level metrics were undertaken on 25 landscapes classified at four levels of thematic resolution. The landscapes were located within seven countries. The different resolutions were considered appropriate to taxonomic and functional group diversity. As class-level metrics are often better correlated to ecological response, the landscape-level metric subsets gained through exploratory analysis were additionally used to guide the selection of class-level metric subsets. Linear mixed models were then used to detect correlations between landscape- and class-level metrics and species richness values. Taxonomic groups with differing requirements (plants, birds, different arthropod groups) and also functional arthropod groups were examined. At the coarse scale of thematic resolution grain metrics (patch density, largest patch index) emerged as rough indicators for the different biological groups whilst at the fine scale a diversity metric (e.g. Simpson's diversity index) was appropriate. The intermediate thematic resolution offered most promise for biodiversity monitoring. Metrics included largest patch index, edge density, nearest neighbour, the proximity index, circle and Simpson's diversity index. We suggest two possible applications of these metrics in the context of biodiversity monitoring and the identification of biodiversity hot spots in European agricultural landscapes.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=1623
Bailey, D., Billeter, R., Aviron, S., Schweiger, O., Herzog, F. (2007):
The influence of thematic resolution on metric selection for biodiversity monitoring in agricultural landscapes
Landsc. Ecol. 22 (3), 461 - 473 10.1007/s10980-006-9035-9