Challenges and opportunities for assessing trends of amphibians with heterogeneous data - a call for better metadata reporting

Klaus Henle; Reinhard Klenke; Benjamin Barth; Annegret Grimm-Seyfarth; Diana Bowler

doi:10.3897/arphapreprints.e137859

Preprint

ARPHA Preprints
https://doi.org/10.3897/arphapreprints.e137859 (26 Sep 2024)

Submitted to Nature Conservation

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ARPHA Preprints

doi: 10.3897/arphapreprints.e137859

First posted 26 Sep 2024

Authors

Klaus Henle - Corresponding author

Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany

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Reinhard Klenke

German Institute for integrative Biodiversity Research (iDiv), Leipzig, Germany

Martin Luther University of Halle-Wittenberg, Halle (Saale), Germany

Helmholtz Zentrum für Umweltforschung - UFZ, Leipzig, Germany

https://www.researchgate.net/profile/Reinhard_Klenke/

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Benjamin Barth

Leipzig Rural District Office, Environmental Agency, Section of Nature and Landscape Conservation, Borna, Germany

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Annegret Grimm-Seyfarth

Helmholtz Zentrum für Umweltforschung - UFZ, Leipzig, Germany

https://www.ufz.de/index.php?en=39029

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Diana Bowler

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany

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Author contributions

Klaus Henle: Conceptualization, Writing original manuscript; methodology, project management

Reinhard Klenke: Revising draft manuscript, data management, compiling and formatting references

Benjamin Barth: Data management, revising draft manuscript

Annegret Grimm-Seyfarth: Conceptualization, revising draft manuscript

Diana Bowler: Conceptualization, writing original manuscript, data analysis, creating figures

Conflict of interest

The authors have declared that no competing interests exist.

Disclaimer: This article is (co-)authored by any of the Editors-in-Chief, Managing Editors or their deputies in this journal.

Supporting agencies

Landesamt für Umwelt, Landwirtschaft und Geologie, Freiberg German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig

This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.