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

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Standard

ReSurveyGermany : Vegetation-plot time-series over the past hundred years in Germany. / Jandt, Ute; Bruelheide, Helge; Berg, Christian et al.

in: Scientific data, Jahrgang 9, Nr. 1, 631, 01.12.2022.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Harvard

Jandt, U, Bruelheide, H, Berg, C, Bernhardt-Römermann, M, Blüml, V, Bode, F, Dengler, J, Diekmann, M, Dierschke, H, Doerfler, I, Döring, U, Dullinger, S, Härdtle, W, Haider, S, Heinken, T, Horchler, P, Jansen, F, Kudernatsch, T, Kuhn, G, Lindner, M, Matesanz, S, Metze, K, Meyer, S, Müller, F, Müller, N, Naaf, T, Peppler-Lisbach, C, Poschlod, P, Roscher, C, Rosenthal, G, Rumpf, SB, Schmidt, W, Schrautzer, J, Schwabe, A, Schwartze, P, Sperle, T, Stanik, N, Stroh, HG, Storm, C, Voigt, W, von Heßberg, A, von Oheimb, G, Wagner, ER, Wegener, U, Wesche, K, Wittig, B & Wulf, M 2022, 'ReSurveyGermany: Vegetation-plot time-series over the past hundred years in Germany', Scientific data, Jg. 9, Nr. 1, 631. https://doi.org/10.1038/s41597-022-01688-6

APA

Jandt, U., Bruelheide, H., Berg, C., Bernhardt-Römermann, M., Blüml, V., Bode, F., Dengler, J., Diekmann, M., Dierschke, H., Doerfler, I., Döring, U., Dullinger, S., Härdtle, W., Haider, S., Heinken, T., Horchler, P., Jansen, F., Kudernatsch, T., Kuhn, G., ... Wulf, M. (2022). ReSurveyGermany: Vegetation-plot time-series over the past hundred years in Germany. Scientific data, 9(1), [631]. https://doi.org/10.1038/s41597-022-01688-6

Vancouver

Jandt U, Bruelheide H, Berg C, Bernhardt-Römermann M, Blüml V, Bode F et al. ReSurveyGermany: Vegetation-plot time-series over the past hundred years in Germany. Scientific data. 2022 Dez 1;9(1):631. doi: 10.1038/s41597-022-01688-6

Bibtex

@article{0c3a6066ba6f45979a2acae957f1a4a1,
title = "ReSurveyGermany: Vegetation-plot time-series over the past hundred years in Germany",
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.",
keywords = "Sustainability Science, Biodiversity, Community ecology, Conservation biology",
author = "Ute Jandt and Helge Bruelheide and Christian Berg and Markus Bernhardt-R{\"o}mermann and Volker Bl{\"u}ml and Frank Bode and J{\"u}rgen Dengler and Martin Diekmann and Hartmut Dierschke and Inken Doerfler and Ute D{\"o}ring and Stefan Dullinger and Werner H{\"a}rdtle and Sylvia Haider and Thilo Heinken and Peter Horchler and Florian Jansen and Thomas Kudernatsch and Gisbert Kuhn and Martin Lindner and Silvia Matesanz and Katrin Metze and Stefan Meyer and Frank M{\"u}ller and Norbert M{\"u}ller and Tobias Naaf and Cord Peppler-Lisbach and Peter Poschlod and Christiane Roscher and Gert Rosenthal and Rumpf, {Sabine B.} and Wolfgang Schmidt and Joachim Schrautzer and Angelika Schwabe and Peter Schwartze and Thomas Sperle and Nils Stanik and Stroh, {Hans Georg} and Christian Storm and Winfried Voigt and {von He{\ss}berg}, Andreas and {von Oheimb}, Goddert and Wagner, {Eva Rosa} and Uwe Wegener and Karsten Wesche and Burghard Wittig and Monika Wulf",
note = "We are grateful to surveyors who recorded vegetation in the field and provided these data. We acknowledge those data contributors who made their data available to us or helped in recording these data: Thea Dittmann, Alexandra Erfmeier, Bernd Gerken, Kerstin G{\"u}nther, Sabine Heinz, Wilfried Hakes, Heike Heklau, Alfons Henrichfreise, Elisabeth H{\"u}llbusch, Andreas Huwer, Anneke Immoor, Sophie Luise K{\"u}hn, Benjamin Krause, Sebastian Leonhardt, Thomas Meineke, Jutta Rach, Jennifer Reinecke, Ulrich Scheidel and Immo Vollmer. We thank Diana Bowler and Netra Bhandari for the analysis of spatial representativeness. The assistance of the iDiv Data & Code Unit (Anahita Kazem, Ludmilla Figueiredo) for archiving the dataset is greatly acknowledged. The manuscript very much benefitted from the comments of Javier Gamarra and two other anonymous reviewers. We very much appreciate the support for the strategic project sMon by the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Research Foundation (DFG-FZT 118, 202548816). Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = dec,
day = "1",
doi = "10.1038/s41597-022-01688-6",
language = "English",
volume = "9",
journal = "Scientific data",
issn = "2052-4463",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - ReSurveyGermany

T2 - Vegetation-plot time-series over the past hundred years in Germany

AU - Jandt, Ute

AU - Bruelheide, Helge

AU - Berg, Christian

AU - Bernhardt-Römermann, Markus

AU - Blüml, Volker

AU - Bode, Frank

AU - Dengler, Jürgen

AU - Diekmann, Martin

AU - Dierschke, Hartmut

AU - Doerfler, Inken

AU - Döring, Ute

AU - Dullinger, Stefan

AU - Härdtle, Werner

AU - Haider, Sylvia

AU - Heinken, Thilo

AU - Horchler, Peter

AU - Jansen, Florian

AU - Kudernatsch, Thomas

AU - Kuhn, Gisbert

AU - Lindner, Martin

AU - Matesanz, Silvia

AU - Metze, Katrin

AU - Meyer, Stefan

AU - Müller, Frank

AU - Müller, Norbert

AU - Naaf, Tobias

AU - Peppler-Lisbach, Cord

AU - Poschlod, Peter

AU - Roscher, Christiane

AU - Rosenthal, Gert

AU - Rumpf, Sabine B.

AU - Schmidt, Wolfgang

AU - Schrautzer, Joachim

AU - Schwabe, Angelika

AU - Schwartze, Peter

AU - Sperle, Thomas

AU - Stanik, Nils

AU - Stroh, Hans Georg

AU - Storm, Christian

AU - Voigt, Winfried

AU - von Heßberg, Andreas

AU - von Oheimb, Goddert

AU - Wagner, Eva Rosa

AU - Wegener, Uwe

AU - Wesche, Karsten

AU - Wittig, Burghard

AU - Wulf, Monika

N1 - We are grateful to surveyors who recorded vegetation in the field and provided these data. We acknowledge those data contributors who made their data available to us or helped in recording these data: Thea Dittmann, Alexandra Erfmeier, Bernd Gerken, Kerstin Günther, Sabine Heinz, Wilfried Hakes, Heike Heklau, Alfons Henrichfreise, Elisabeth Hüllbusch, Andreas Huwer, Anneke Immoor, Sophie Luise Kühn, Benjamin Krause, Sebastian Leonhardt, Thomas Meineke, Jutta Rach, Jennifer Reinecke, Ulrich Scheidel and Immo Vollmer. We thank Diana Bowler and Netra Bhandari for the analysis of spatial representativeness. The assistance of the iDiv Data & Code Unit (Anahita Kazem, Ludmilla Figueiredo) for archiving the dataset is greatly acknowledged. The manuscript very much benefitted from the comments of Javier Gamarra and two other anonymous reviewers. We very much appreciate the support for the strategic project sMon by the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Research Foundation (DFG-FZT 118, 202548816). Publisher Copyright: © 2022, The Author(s).

PY - 2022/12/1

Y1 - 2022/12/1

N2 - 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.

AB - 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.

KW - Sustainability Science

KW - Biodiversity

KW - Community ecology

KW - Conservation biology

UR - http://www.scopus.com/inward/record.url?scp=85140116490&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/080cf736-c96e-3c79-a5ff-c0c686d96827/

U2 - 10.1038/s41597-022-01688-6

DO - 10.1038/s41597-022-01688-6

M3 - Journal articles

C2 - 36261458

AN - SCOPUS:85140116490

VL - 9

JO - Scientific data

JF - Scientific data

SN - 2052-4463

IS - 1

M1 - 631

ER -

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