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Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities

A major limitation of current reports on insect declines is the lack of standardized, long-term, and taxonomically broad time series. Here, we demonstrate the utility of environmental DNA from archived leaf material to characterize plant-associated arthropod communities. We base our work on several...

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Autores principales: Krehenwinkel, Henrik, Weber, Sven, Broekmann, Rieke, Melcher, Anja, Hans, Julian, Wolf, Rüdiger, Hochkirch, Axel, Kennedy, Susan Rachel, Koschorreck, Jan, Künzel, Sven, Müller, Christoph, Retzlaff, Rebecca, Teubner, Diana, Schanzer, Sonja, Klein, Roland, Paulus, Martin, Udelhoven, Thomas, Veith, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767467/
https://www.ncbi.nlm.nih.gov/pubmed/36354219
http://dx.doi.org/10.7554/eLife.78521
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author Krehenwinkel, Henrik
Weber, Sven
Broekmann, Rieke
Melcher, Anja
Hans, Julian
Wolf, Rüdiger
Hochkirch, Axel
Kennedy, Susan Rachel
Koschorreck, Jan
Künzel, Sven
Müller, Christoph
Retzlaff, Rebecca
Teubner, Diana
Schanzer, Sonja
Klein, Roland
Paulus, Martin
Udelhoven, Thomas
Veith, Michael
author_facet Krehenwinkel, Henrik
Weber, Sven
Broekmann, Rieke
Melcher, Anja
Hans, Julian
Wolf, Rüdiger
Hochkirch, Axel
Kennedy, Susan Rachel
Koschorreck, Jan
Künzel, Sven
Müller, Christoph
Retzlaff, Rebecca
Teubner, Diana
Schanzer, Sonja
Klein, Roland
Paulus, Martin
Udelhoven, Thomas
Veith, Michael
author_sort Krehenwinkel, Henrik
collection PubMed
description A major limitation of current reports on insect declines is the lack of standardized, long-term, and taxonomically broad time series. Here, we demonstrate the utility of environmental DNA from archived leaf material to characterize plant-associated arthropod communities. We base our work on several multi-decadal leaf time series from tree canopies in four land use types, which were sampled as part of a long-term environmental monitoring program across Germany. Using these highly standardized and well-preserved samples, we analyze temporal changes in communities of several thousand arthropod species belonging to 23 orders using metabarcoding and quantitative PCR. Our data do not support widespread declines of α-diversity or genetic variation within sites. Instead, we find a gradual community turnover, which results in temporal and spatial biotic homogenization, across all land use types and all arthropod orders. Our results suggest that insect decline is more complex than mere α-diversity loss, but can be driven by β-diversity decay across space and time.
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spelling pubmed-97674672022-12-21 Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities Krehenwinkel, Henrik Weber, Sven Broekmann, Rieke Melcher, Anja Hans, Julian Wolf, Rüdiger Hochkirch, Axel Kennedy, Susan Rachel Koschorreck, Jan Künzel, Sven Müller, Christoph Retzlaff, Rebecca Teubner, Diana Schanzer, Sonja Klein, Roland Paulus, Martin Udelhoven, Thomas Veith, Michael eLife Ecology A major limitation of current reports on insect declines is the lack of standardized, long-term, and taxonomically broad time series. Here, we demonstrate the utility of environmental DNA from archived leaf material to characterize plant-associated arthropod communities. We base our work on several multi-decadal leaf time series from tree canopies in four land use types, which were sampled as part of a long-term environmental monitoring program across Germany. Using these highly standardized and well-preserved samples, we analyze temporal changes in communities of several thousand arthropod species belonging to 23 orders using metabarcoding and quantitative PCR. Our data do not support widespread declines of α-diversity or genetic variation within sites. Instead, we find a gradual community turnover, which results in temporal and spatial biotic homogenization, across all land use types and all arthropod orders. Our results suggest that insect decline is more complex than mere α-diversity loss, but can be driven by β-diversity decay across space and time. eLife Sciences Publications, Ltd 2022-11-10 /pmc/articles/PMC9767467/ /pubmed/36354219 http://dx.doi.org/10.7554/eLife.78521 Text en © 2022, Krehenwinkel, Weber et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Ecology
Krehenwinkel, Henrik
Weber, Sven
Broekmann, Rieke
Melcher, Anja
Hans, Julian
Wolf, Rüdiger
Hochkirch, Axel
Kennedy, Susan Rachel
Koschorreck, Jan
Künzel, Sven
Müller, Christoph
Retzlaff, Rebecca
Teubner, Diana
Schanzer, Sonja
Klein, Roland
Paulus, Martin
Udelhoven, Thomas
Veith, Michael
Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities
title Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities
title_full Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities
title_fullStr Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities
title_full_unstemmed Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities
title_short Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities
title_sort environmental dna from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767467/
https://www.ncbi.nlm.nih.gov/pubmed/36354219
http://dx.doi.org/10.7554/eLife.78521
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