Informace o publikaci

AgriWeedClim database: A repository of vegetation plot data from Central European arable habitats over 100 years

Autoři	GLASER Michael BERG Christian BULDRINI Fabrizio BUHOLZER Serge BUERGER Jana CHIARUCCI Alessandro CHYTRÝ Milan DŘEVOJAN Pavel FOLLAK Swen KUZMIC Filip LOSOSOVÁ Zdeňka MEYER Stefan MOSER Dietmar PYSEK Petr RICHNER Nina SILC Urban WIETZKE Alexander DULLINGER Stefan ESSL Franz
Rok publikování	2022
Druh	Článek v odborném periodiku
Časopis / Zdroj	Applied Vegetation Science
Fakulta / Pracoviště MU	Přírodovědecká fakulta
Citace
www	https://doi.org/10.1111/avsc.12675
Doi	http://dx.doi.org/10.1111/avsc.12675
Klíčová slova	agriculture; biodiversity; biological invasions; climate change; data repository; land-use change; segetal flora; vegetation plots; weeds
Popis	Aims Arable habitats (i.e. fields, orchards, vineyards, and their fallows) were created by humans and have been essential elements in Central European landscapes for several millennia. In recent decades, these habitats have been drastically altered by changes in land use as well as agricultural practices and, more recently, by climate change. These changes have precipitated substantial changes in vegetation and their spatial and temporal trajectories have not yet been exhaustively studied. Here, we present the AgriWeedClim database - a new resource of vegetation plot (releve) data of arable habitats in Central Europe. Location Germany, Czech Republic, Slovakia, Switzerland, Liechtenstein, Austria, Hungary, Northern Italy, Slovenia, Croatia. Methods Vegetation plot data were obtained from large repositories (e.g. European Vegetation Archive), specialized regional databases, colleagues and the literature. Data were then checked for completeness and standardized (e.g. taxonomy, nomenclature, crop types). Species were assigned native, archaeophyte (i.e. alien species introduced before c. 1492 CE) or neophyte (i.e. alien species introduced after c. 1492 CE) status. Results The AgriWeedClim database version 1.0 contains georeferenced data from 32,889 vegetation plots sampled from 1916 to 2019. Conclusions We provide an overview of this new resource and present example analyses to show its content and possible applications. We outline potential research questions including analysis of patterns and causes of vegetation changes in arable habitats from the early 20th century to the present.