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Ecological network analysis of traits reveals variable response capacity to stress

Response diversity increases the potential ‘options’ for ecological communities to respond to stress (i.e. response capacity). An indicator of community response diversity is the diversity of different traits associated with their capacity to be resistant to stress, to recover and to regulate ecosys...

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Autores principales: Gladstone-Gallagher, Rebecca V., Hewitt, Judi E., Siwicka, Ewa, Gammal, Johanna M., Brustolin, Marco C., Norkko, Alf, Pilditch, Conrad A., Thrush, Simon F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154921/
https://www.ncbi.nlm.nih.gov/pubmed/37132238
http://dx.doi.org/10.1098/rspb.2023.0403
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author Gladstone-Gallagher, Rebecca V.
Hewitt, Judi E.
Siwicka, Ewa
Gammal, Johanna M.
Brustolin, Marco C.
Norkko, Alf
Pilditch, Conrad A.
Thrush, Simon F.
author_facet Gladstone-Gallagher, Rebecca V.
Hewitt, Judi E.
Siwicka, Ewa
Gammal, Johanna M.
Brustolin, Marco C.
Norkko, Alf
Pilditch, Conrad A.
Thrush, Simon F.
author_sort Gladstone-Gallagher, Rebecca V.
collection PubMed
description Response diversity increases the potential ‘options’ for ecological communities to respond to stress (i.e. response capacity). An indicator of community response diversity is the diversity of different traits associated with their capacity to be resistant to stress, to recover and to regulate ecosystem functions. We conducted a network analysis of traits using benthic macroinvertebrate community data from a large-scale field experiment to explore the loss of response diversity along environmental gradients. We elevated sediment nutrient concentrations (a process that occurs with eutrophication) at 24 sites (in 15 estuaries) with varying environmental conditions (water column turbidity and sediment properties). Macroinvertebrate community response capacity to nutrient stress was dependent on the baseline trait network complexity in the ambient community (i.e. non-enriched sediments). The greater the complexity of the baseline network, the less variable the network response to nutrient stress was; in contrast, more variable responses to nutrient stress occurred with simpler networks. Thus, stressors or environmental variables that shift baseline network complexity also shift the capacity for these ecosystems to respond to additional stressors. Empirical studies that explore the mechanisms responsible for loss of resilience are essential to inform our ability to predict changes in ecological states.
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spelling pubmed-101549212023-05-04 Ecological network analysis of traits reveals variable response capacity to stress Gladstone-Gallagher, Rebecca V. Hewitt, Judi E. Siwicka, Ewa Gammal, Johanna M. Brustolin, Marco C. Norkko, Alf Pilditch, Conrad A. Thrush, Simon F. Proc Biol Sci Ecology Response diversity increases the potential ‘options’ for ecological communities to respond to stress (i.e. response capacity). An indicator of community response diversity is the diversity of different traits associated with their capacity to be resistant to stress, to recover and to regulate ecosystem functions. We conducted a network analysis of traits using benthic macroinvertebrate community data from a large-scale field experiment to explore the loss of response diversity along environmental gradients. We elevated sediment nutrient concentrations (a process that occurs with eutrophication) at 24 sites (in 15 estuaries) with varying environmental conditions (water column turbidity and sediment properties). Macroinvertebrate community response capacity to nutrient stress was dependent on the baseline trait network complexity in the ambient community (i.e. non-enriched sediments). The greater the complexity of the baseline network, the less variable the network response to nutrient stress was; in contrast, more variable responses to nutrient stress occurred with simpler networks. Thus, stressors or environmental variables that shift baseline network complexity also shift the capacity for these ecosystems to respond to additional stressors. Empirical studies that explore the mechanisms responsible for loss of resilience are essential to inform our ability to predict changes in ecological states. The Royal Society 2023-05-10 2023-05-03 /pmc/articles/PMC10154921/ /pubmed/37132238 http://dx.doi.org/10.1098/rspb.2023.0403 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Ecology
Gladstone-Gallagher, Rebecca V.
Hewitt, Judi E.
Siwicka, Ewa
Gammal, Johanna M.
Brustolin, Marco C.
Norkko, Alf
Pilditch, Conrad A.
Thrush, Simon F.
Ecological network analysis of traits reveals variable response capacity to stress
title Ecological network analysis of traits reveals variable response capacity to stress
title_full Ecological network analysis of traits reveals variable response capacity to stress
title_fullStr Ecological network analysis of traits reveals variable response capacity to stress
title_full_unstemmed Ecological network analysis of traits reveals variable response capacity to stress
title_short Ecological network analysis of traits reveals variable response capacity to stress
title_sort ecological network analysis of traits reveals variable response capacity to stress
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154921/
https://www.ncbi.nlm.nih.gov/pubmed/37132238
http://dx.doi.org/10.1098/rspb.2023.0403
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