Trait groups as management entities in a complex, multispecies reef fishery.

Autor: Anderson L; School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK., Houk P; Marine Laboratory, University of Guam, Mangilao, Guam., Miller MGR; School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK., Cuetos-Bueno J; Marine Laboratory, University of Guam, Mangilao, Guam.; The Nature Conservancy, Mangilao, Guam., Graham C; Department of Marine Resources, Weno, Federated States of Micronesia., Kanemoto K; FSM Ridge to Reef Program, Department of Marine Resources, Weno, Federated States of Micronesia., Terk E; The Nature Conservancy, Kolonia, Federated States of Micronesia., McLeod E; The Nature Conservancy, Arlington, Virginia, USA., Beger M; School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK.; Centre for Biodiversity and Conservation Science, The University of Queensland, St Lucia, Queensland, Australia.
Jazyk: angličtina
Zdroj: Conservation biology : the journal of the Society for Conservation Biology [Conserv Biol] 2022 Jun; Vol. 36 (3), pp. e13866. Date of Electronic Publication: 2022 Jan 24.
DOI: 10.1111/cobi.13866
Abstrakt: Localized stressors compound the ongoing climate-driven decline of coral reefs, requiring natural resource managers to work with rapidly shifting paradigms. Trait-based adaptive management (TBAM) is a new framework to help address changing conditions by choosing and implementing management actions specific to species groups that share key traits, vulnerabilities, and management responses. In TBAM maintenance of functioning ecosystems is balanced with provisioning for human subsistence and livelihoods. We first identified trait-based groups of food fish in a Pacific coral reef with hierarchical clustering. Positing that trait-based groups performing comparable functions respond similarly to both stressors and management actions, we ascertained biophysical and socioeconomic drivers of trait-group biomass and evaluated their vulnerabilities with generalized additive models. Clustering identified 7 trait groups from 131 species. Groups responded to different drivers and displayed divergent vulnerabilities; human activities emerged as important predictors of community structuring. Biomass of small, solitary reef-associated species increased with distance from key fishing ports, and large, solitary piscivores exhibited a decline in biomass with distance from a port. Group biomass also varied in response to different habitat types, the presence or absence of reported dynamite fishing activity, and exposure to wave energy. The differential vulnerabilities of trait groups revealed how the community structure of food fishes is driven by different aspects of resource use and habitat. This inherent variability in the responses of trait-based groups presents opportunities to apply selective TBAM strategies for complex, multispecies fisheries. This approach can be widely adjusted to suit local contexts and priorities.
(© 2021 Society for Conservation Biology.)
Databáze: MEDLINE
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