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Metrics of structural change as indicators of chironomid community stability in high latitude lakes

Metrics of structural change as indicators of chironomid community stability in high latitude lakes
Metrics of structural change as indicators of chironomid community stability in high latitude lakes
Understanding the effects of climate change on ecosystem structure and stability is challenging, especially in high latitude regions that are predicted to experience the largest increases in ambient temperature. Global warming is likely to be a key driver of ecosystem change in freshwater lakes. Increased temperature can positively or negatively affect lake community composition through the loss of coldadapted taxa and the arrival of temperate or eurytopic taxa. Here, we analyse the likely effects of
temperature-induced changes in taxonomic richness and compositional turnover of environmentallysensitive chironomids (Diptera: Chironomidae) across three regions - northern North America, Norway, and Russia - using existing datasets. Structural parameters (beta diversity, compositional disorder, and network skewness) were applied to model-simulated and empirical chironomid datasets across a large spatial temperature gradient. The analyses of empirical datasets showed changes in community structure across temperature gradients, suggesting varying states of ecosystem stability or instability. The comparison with null models enabled assessment as to whether these stresses agreed with expected patterns due to covarying summer temperature conditions or whether they deviated from expectations
suggesting additional stress on the ecosystems. For all three regions, lakes in the mid-temperature range showed most evidence of relative ecosystem stability, with greater beta diversity, compositional disorder, and skewness, unanticipated by the modelled simulations. This is most likely due to more diverse habitats across the ecotone boundaries and additional factors that can influence ecosystem structures.
Thus, we show that structural changes typical for ecosystem stability can be detected through changes in community structure across temperature gradients. This is important for understanding how lakes may change under current and future climate change.
Beta diversity, Chironomids, Community structure, Compositional disorder, Network skewness
0277-3791
Mayfield, Roseanna J.
791d3e42-f345-42b1-b5c0-b6940f2beff6
Langdon, Peter
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Doncaster, Charles
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Dearing, John
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Wang, Rong
fd4ca2d0-78f2-40c2-aad1-355e7f3f3022
Nazarova, Larisa
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Medeiros, Andrew
7feb1ad3-e60f-4a58-abe8-db823bb5942c
Brooks, Steve
4a3e0881-8a38-44a3-a6e2-f95bf868fa0b
Mayfield, Roseanna J.
791d3e42-f345-42b1-b5c0-b6940f2beff6
Langdon, Peter
95b97671-f9fe-4884-aca6-9aa3cd1a6d7f
Doncaster, Charles
0eff2f42-fa0a-4e35-b6ac-475ad3482047
Dearing, John
dff37300-b8a6-4406-ad84-89aa01de03d7
Wang, Rong
fd4ca2d0-78f2-40c2-aad1-355e7f3f3022
Nazarova, Larisa
5ff989ae-dcc6-48cd-9a2b-b277d4cfb14a
Medeiros, Andrew
7feb1ad3-e60f-4a58-abe8-db823bb5942c
Brooks, Steve
4a3e0881-8a38-44a3-a6e2-f95bf868fa0b

Mayfield, Roseanna J., Langdon, Peter, Doncaster, Charles, Dearing, John, Wang, Rong, Nazarova, Larisa, Medeiros, Andrew and Brooks, Steve (2020) Metrics of structural change as indicators of chironomid community stability in high latitude lakes. Quaternary Science Reviews, 249, [106594]. (doi:10.1016/j.quascirev.2020.106594).

Record type: Article

Abstract

Understanding the effects of climate change on ecosystem structure and stability is challenging, especially in high latitude regions that are predicted to experience the largest increases in ambient temperature. Global warming is likely to be a key driver of ecosystem change in freshwater lakes. Increased temperature can positively or negatively affect lake community composition through the loss of coldadapted taxa and the arrival of temperate or eurytopic taxa. Here, we analyse the likely effects of
temperature-induced changes in taxonomic richness and compositional turnover of environmentallysensitive chironomids (Diptera: Chironomidae) across three regions - northern North America, Norway, and Russia - using existing datasets. Structural parameters (beta diversity, compositional disorder, and network skewness) were applied to model-simulated and empirical chironomid datasets across a large spatial temperature gradient. The analyses of empirical datasets showed changes in community structure across temperature gradients, suggesting varying states of ecosystem stability or instability. The comparison with null models enabled assessment as to whether these stresses agreed with expected patterns due to covarying summer temperature conditions or whether they deviated from expectations
suggesting additional stress on the ecosystems. For all three regions, lakes in the mid-temperature range showed most evidence of relative ecosystem stability, with greater beta diversity, compositional disorder, and skewness, unanticipated by the modelled simulations. This is most likely due to more diverse habitats across the ecotone boundaries and additional factors that can influence ecosystem structures.
Thus, we show that structural changes typical for ecosystem stability can be detected through changes in community structure across temperature gradients. This is important for understanding how lakes may change under current and future climate change.

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Mayfield et al QSR accepted - Accepted Manuscript
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Accepted/In Press date: 10 September 2020
e-pub ahead of print date: 25 September 2020
Published date: 1 December 2020
Keywords: Beta diversity, Chironomids, Community structure, Compositional disorder, Network skewness

Identifiers

Local EPrints ID: 444389
URI: http://eprints.soton.ac.uk/id/eprint/444389
ISSN: 0277-3791
PURE UUID: cf584e4f-5585-443a-8f7e-0a8f59952a7c
ORCID for Peter Langdon: ORCID iD orcid.org/0000-0003-2724-2643
ORCID for Charles Doncaster: ORCID iD orcid.org/0000-0001-9406-0693
ORCID for John Dearing: ORCID iD orcid.org/0000-0002-1466-9640

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Date deposited: 16 Oct 2020 16:30
Last modified: 17 Mar 2024 05:57

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Contributors

Author: Roseanna J. Mayfield
Author: Peter Langdon ORCID iD
Author: John Dearing ORCID iD
Author: Rong Wang
Author: Larisa Nazarova
Author: Andrew Medeiros
Author: Steve Brooks

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