| Literature DB >> 36261458 |
Ute Jandt1,2, Helge Bruelheide3,4, Christian Berg5, Markus Bernhardt-Römermann2,6, Volker Blüml7, Frank Bode8, Jürgen Dengler2,9,10, Martin Diekmann11, Hartmut Dierschke12, Inken Doerfler13, Ute Döring14, Stefan Dullinger15, Werner Härdtle16, Sylvia Haider1,2, Thilo Heinken17, Peter Horchler18, Florian Jansen19, Thomas Kudernatsch20, Gisbert Kuhn21, Martin Lindner2,22, Silvia Matesanz23, Katrin Metze24, Stefan Meyer25, Frank Müller26, Norbert Müller27, Tobias Naaf28, Cord Peppler-Lisbach29, Peter Poschlod30, Christiane Roscher2,31, Gert Rosenthal32, Sabine B Rumpf15,33, Wolfgang Schmidt34, Joachim Schrautzer35, Angelika Schwabe36, Peter Schwartze37, Thomas Sperle38, Nils Stanik32, Hans-Georg Stroh39, Christian Storm40, Winfried Voigt41, Andreas von Heßberg42, Goddert von Oheimb43, Eva-Rosa Wagner44, Uwe Wegener45, Karsten Wesche2,46,47, Burghard Wittig11,48, Monika Wulf28,49.
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.Entities:
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Year: 2022 PMID： 36261458 PMCID： PMC9581966 DOI： 10.1038/s41597-022-01688-6
Source DB: PubMed Journal: Sci Data ISSN： 2052-4463 Impact factor: 8.501