A metacommunity approach to improve biological assessments in highly dynamic freshwater ecosystems

Cid, N., Bonada, N., Heino, J., Cañedo-Argüelles, M., Crabot, J., Sarremejane, R. ORCID: 0000-0002-4943-1173, Soininen, J., Stubbington, R. ORCID: 0000-0001-8475-5109 and Datry, T., 2020. A metacommunity approach to improve biological assessments in highly dynamic freshwater ecosystems. BioScience. ISSN 0006-3568

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Abstract

Rapid shifts in biotic communities due to environmental variability challenge the detection of anthropogenic impacts by current biomonitoring programs. Metacommunity ecology has the potential to inform such programs, because it combines dispersal processes with niche-based approaches and recognizes variability in community composition. Using intermittent rivers—prevalent and highly dynamic ecosystems that sometimes dry—we develop a conceptual model to illustrate how dispersal limitation and flow intermittence influence the performance of biological indices. We produce a methodological framework integrating physical- and organismal-based dispersal measurements into predictive modeling, to inform development of dynamic ecological quality assessments. Such metacommunity-based approaches could be extended to other ecosystems and are required to underpin our capacity to monitor and protect ecosystems threatened under future environmental changes.

Item Type: Journal article
Publication Title: BioScience
Creators: Cid, N., Bonada, N., Heino, J., Cañedo-Argüelles, M., Crabot, J., Sarremejane, R., Soininen, J., Stubbington, R. and Datry, T.
Publisher: Oxford University Press
Date: 22 April 2020
ISSN: 0006-3568
Identifiers:
NumberType
10.1093/biosci/biaa033DOI
1317760Other
Rights: © The Author(s) 2020. Published by Oxford University Press on behalf of the American Institute of Biological Sciences. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 23 Apr 2020 07:31
Last Modified: 23 Apr 2020 07:31
URI: http://irep.ntu.ac.uk/id/eprint/39721

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