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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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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. |
format | Online Article Text |
id | pubmed-9767467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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