Sedimentary ancient DNA reveals the impact of anthropogenic land use disturbance and ecological shifts on fish community structure in small lowland lake.

Digital droplet PCR Environmental DNA Fish Freshwater ecology Lakes Metabarcoding

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
20 Apr 2024
Historique:
received: 20 12 2023
revised: 29 01 2024
accepted: 23 02 2024
pubmed: 29 2 2024
medline: 29 2 2024
entrez: 28 2 2024
Statut: ppublish

Résumé

Freshwater fish biodiversity and abundance are decreasing globally. The drivers of decline are primarily anthropogenic; however, the causative links between disturbances and fish community change are complex and challenging to investigate. We used a suite of sedimentary DNA methods (droplet digital PCR and metabarcoding) and traditional paleolimnological approaches, including pollen and trace metal analysis, ITRAX X-ray fluorescence and hyperspectral core scanning to explore changes in fish abundance and drivers over 1390 years in a small lake. This period captured a disturbance trajectory from pre-human settlement through subsistence living to intensive agriculture. Generalized additive mixed models explored the relationships between catchment inputs, internal drivers, and fish community structure. Fish community composition distinctly shifted around 1350 CE, with the decline of a sensitive Galaxias species concomitant with early land use changes. Total fish abundance significantly declined around 1950 CE related to increases in ruminant bacterial DNA (a proxy for ruminant abundance) and cadmium flux (a proxy for phosphate fertilizers), implicating land use intensification as a key driver. Concurrent shifts in phytoplankton and zooplankton suggested that fish communities were likely impacted by food web dynamics. This study highlights the potential of sedDNA to elucidate the long-term disturbance impacts on biological communities in lakes.

Identifiants

pubmed: 38417515
pii: S0048-9697(24)01405-0
doi: 10.1016/j.scitotenv.2024.171266
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

171266

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Georgia Thomson-Laing (G)

Cawthron Institute, 98 Halifax Street, The Wood, Nelson 7010, New Zealand; School of Geography, Environment and Earth Sciences, Victoria University of Wellington, PO Box 600, Wellington 6012, New Zealand. Electronic address: Georgia.Thomson-Laing@cawthron.org.nz.

Jamie D Howarth (JD)

School of Geography, Environment and Earth Sciences, Victoria University of Wellington, PO Box 600, Wellington 6012, New Zealand.

Javier Atalah (J)

Cawthron Institute, 98 Halifax Street, The Wood, Nelson 7010, New Zealand.

Marcus J Vandergoes (MJ)

GNS Science, 1 Fairway Drive, Avalon, Lower Hutt 5011, New Zealand.

Xun Li (X)

GNS Science, 1 Fairway Drive, Avalon, Lower Hutt 5011, New Zealand.

John K Pearman (JK)

School of Geography, Environment and Earth Sciences, Victoria University of Wellington, PO Box 600, Wellington 6012, New Zealand.

Sean Fitzsimons (S)

School of Geography, University of Otago, 360 Leith Street, North Dunedin, Dunedin 9054, New Zealand.

Chris Moy (C)

Department of Geology, University of Otago, 360 Leith Street, North Dunedin, Dunedin 9054, New Zealand.

Adelaine Moody (A)

School of Geography, Environment and Earth Sciences, Victoria University of Wellington, PO Box 600, Wellington 6012, New Zealand.

Claire Shepherd (C)

GNS Science, 1 Fairway Drive, Avalon, Lower Hutt 5011, New Zealand.

Nicholas McKay (N)

School of Earth and Sustainability, Northern Arizona University, Flagstaff, AZ, USA.

Susanna A Wood (SA)

Cawthron Institute, 98 Halifax Street, The Wood, Nelson 7010, New Zealand.

Classifications MeSH