A Metacommunity Approach to Improve Biological Assessments in Highly Dynamic Freshwater Ecosystems.
bioassessment
climate change
connectivity
dispersal
intermittent rivers and streams
Journal
Bioscience
ISSN: 0006-3568
Titre abrégé: Bioscience
Pays: England
ID NLM: 0231737
Informations de publication
Date de publication:
01 May 2020
01 May 2020
Historique:
entrez:
23
5
2020
pubmed:
23
5
2020
medline:
23
5
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32440024
doi: 10.1093/biosci/biaa033
pii: biaa033
pmc: PMC7231578
doi:
Types de publication
Journal Article
Langues
eng
Pagination
427-438Informations de copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Institute of Biological Sciences.
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