Revealing perturbation responses with limited observations of biological communities
(2021) In Ecological Indicators 128.- Abstract
Restrictions in empirical research of biological communities have limited our understanding of the combined influence of environmental variability and system structure on community composition. Spatial patterns of community composition in less accessible systems, such as marine benthos, can often not be explained by many factors beyond the direct impact of the environment on community members. We present a method that combines commonly collected data of community composition with analyses of qualitative mathematical models, to assess not only direct impacts of environmental variability, but also the propagation of impacts through complex interaction networks. Transformed spatial data of community composition describe the community... (More)
Restrictions in empirical research of biological communities have limited our understanding of the combined influence of environmental variability and system structure on community composition. Spatial patterns of community composition in less accessible systems, such as marine benthos, can often not be explained by many factors beyond the direct impact of the environment on community members. We present a method that combines commonly collected data of community composition with analyses of qualitative mathematical models, to assess not only direct impacts of environmental variability, but also the propagation of impacts through complex interaction networks. Transformed spatial data of community composition describe the community members’ observed similarity of response to an external input. The output of qualitative mathematical models describes the community members’ predicted similarity of response to input entering the system through any of its variables. A statistically significant agreement between the observed and any of the predicted response similarities indicates the respective system variable as a likely gateway for environmental variability into the system. The method is applied to benthic macroinvertebrate communities in the Rance estuary (Brittany, France). Organisms identified as likely gateways have traits that agree with their predicted response to documented spatially and temporally structured environmental variability. We suggest use of this novel framework for more comprehensive identification of environmental drivers of community change, including gateway community members and cascades of environmentally driven change through community structure.
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- author
- Alexandridis, Nikolaos LU ; Bacher, Cédric ; Jean, Fred and Dambacher, Jeffrey M.
- organization
- publishing date
- 2021-09
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Biological traits, Biotic interactions, Community structure, Ecological perturbation, Environmental variability, Qualitative modelling
- in
- Ecological Indicators
- volume
- 128
- article number
- 107840
- publisher
- Elsevier
- external identifiers
-
- scopus:85107155265
- ISSN
- 1470-160X
- DOI
- 10.1016/j.ecolind.2021.107840
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: Thanks to Scott Foster and Olivier Gauthier for help with the statistical analyses. This work was supported by the LabexMer French project (ANR-10-LABX-19-01).
- id
- cb6477c8-d2e0-4a1e-b0be-3c32bf64d33d
- date added to LUP
- 2021-06-13 18:42:32
- date last changed
- 2023-02-21 11:24:00
@article{cb6477c8-d2e0-4a1e-b0be-3c32bf64d33d,
abstract = {{<p>Restrictions in empirical research of biological communities have limited our understanding of the combined influence of environmental variability and system structure on community composition. Spatial patterns of community composition in less accessible systems, such as marine benthos, can often not be explained by many factors beyond the direct impact of the environment on community members. We present a method that combines commonly collected data of community composition with analyses of qualitative mathematical models, to assess not only direct impacts of environmental variability, but also the propagation of impacts through complex interaction networks. Transformed spatial data of community composition describe the community members’ observed similarity of response to an external input. The output of qualitative mathematical models describes the community members’ predicted similarity of response to input entering the system through any of its variables. A statistically significant agreement between the observed and any of the predicted response similarities indicates the respective system variable as a likely gateway for environmental variability into the system. The method is applied to benthic macroinvertebrate communities in the Rance estuary (Brittany, France). Organisms identified as likely gateways have traits that agree with their predicted response to documented spatially and temporally structured environmental variability. We suggest use of this novel framework for more comprehensive identification of environmental drivers of community change, including gateway community members and cascades of environmentally driven change through community structure.</p>}},
author = {{Alexandridis, Nikolaos and Bacher, Cédric and Jean, Fred and Dambacher, Jeffrey M.}},
issn = {{1470-160X}},
keywords = {{Biological traits; Biotic interactions; Community structure; Ecological perturbation; Environmental variability; Qualitative modelling}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Ecological Indicators}},
title = {{Revealing perturbation responses with limited observations of biological communities}},
url = {{http://dx.doi.org/10.1016/j.ecolind.2021.107840}},
doi = {{10.1016/j.ecolind.2021.107840}},
volume = {{128}},
year = {{2021}},
}