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ReSurveyGermany: Vegetation-plot time-series over the past hundred years in Germany

Jandt, Ute; Bruelheide, Helge ; Berg, Christian; Bernhardt-Römermann, Markus; Blüml, Volker; Bode, Frank 1; Dengler, Jürgen; Diekmann, Martin; Dierschke, Hartmut; Doerfler, Inken; Döring, Ute; Dullinger, Stefan; Härdtle, Werner; Haider, Sylvia; Heinken, Thilo; Horchler, Peter; Jansen, Florian; Kudernatsch, Thomas; Kuhn, Gisbert; ... mehr

Abstract:

Vegetation-plot resurvey data are a main source of information on terrestrial biodiversity change, with records reaching back more than one century. Although more and more data from re-sampled plots have been published, there is not yet a comprehensive open-access dataset available for analysis. Here, we compiled and harmonised vegetation-plot resurvey data from Germany covering almost 100 years. We show the distribution of the plot data in space, time and across habitat types of the European Nature Information System (EUNIS). In addition, we include metadata on geographic location, plot size and vegetation structure. The data allow temporal biodiversity change to be assessed at the community scale, reaching back further into the past than most comparable data yet available. They also enable tracking changes in the incidence and distribution of individual species across Germany. In summary, the data come at a level of detail that holds promise for broadening our understanding of the mechanisms and drivers behind plant diversity change over the last century.


Verlagsausgabe §
DOI: 10.5445/IR/1000152445
Veröffentlicht am 08.11.2022
Originalveröffentlichung
DOI: 10.1038/s41597-022-01688-6
Scopus
Zitationen: 7
Web of Science
Zitationen: 9
Dimensions
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Forschungsförderung (FOR)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2052-4463
KITopen-ID: 1000152445
Erschienen in Scientific Data
Verlag Nature Research
Band 9
Heft 1
Seiten Art.-Nr.: 631
Vorab online veröffentlicht am 19.10.2022
Schlagwörter Biodiversity, Community ecology, Conservation biology
Nachgewiesen in Web of Science
Dimensions
Scopus
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