Multilayer biological networks to upscale marine research to global change-smart management and sustainable resource use.

Biodiversity crisis Complexity science integrative biology Global change Marine biodiversity Multi-stressor Network science Systems biology

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Jun 2024
Historique:
received: 03 11 2023
revised: 30 05 2024
accepted: 05 06 2024
medline: 13 6 2024
pubmed: 13 6 2024
entrez: 12 6 2024
Statut: aheadofprint

Résumé

Human activities are having a massive negative impact on biodiversity and ecological processes worldwide. The rate and magnitude of ecological transformations induced by climate change, habitat destruction, overexploitation and pollution are now so substantial that a sixth mass extinction event is currently underway. The biodiversity crisis of the Anthropocene urges scientists to put forward a transformative vision to promote the conservation of biodiversity, and thus indirectly the preservation of ecosystem functions. Here, we identify pressing issues in global change biology research and propose an integrative framework based on multilayer biological networks as a tool to support conservation actions and marine risk assessments in multi-stressor scenarios. Multilayer networks can integrate different levels of environmental and biotic complexity, enabling us to combine information on molecular, physiological and behaviour responses, species interactions and biotic communities. The ultimate aim of this framework is to link human-induced environmental changes to species physiology, fitness, biogeography and ecosystem impacts across vast seascapes and time frames, to help guide solutions to address biodiversity loss and ecological tipping points. Further, we also define our current ability to adopt a widespread use of multilayer networks within ecology, evolution and conservation by providing examples of case-studies. We also assess which approaches are ready to be transferred and which ones require further development before use. We conclude that multilayer biological networks will be crucial to inform (using reliable multi-levels integrative indicators) stakeholders and support their decision-making concerning the sustainable use of resources and marine conservation.

Identifiants

pubmed: 38866145
pii: S0048-9697(24)03984-6
doi: 10.1016/j.scitotenv.2024.173837
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

173837

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

Diana Madeira (D)

Laboratory for Innovation and Sustainability of Marine Biological Resources (ECOMARE), Centre for Environmental and Marine Studies (CESAM), Department of Biology, University of Aveiro, Aveiro, Portugal; Laboratory of Marine Ecological and Evolutionary Physiology, Department of Biology, Chemistry and Geography, University of Quebec in Rimouski, 300 Allée des Ursulines, Rimouski, G5L 3A1, Québec, Canada. Electronic address: d.madeira@ua.pt.

Carolina Madeira (C)

Applied Molecular Biosciences Unit, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, Caparica, Portugal; i4HB - Institute for Health and Bioeconomy, School of Science and Technology, NOVA University of Lisbon, Caparica, Portugal.

Piero Calosi (P)

Laboratory of Marine Ecological and Evolutionary Physiology, Department of Biology, Chemistry and Geography, University of Quebec in Rimouski, 300 Allée des Ursulines, Rimouski, G5L 3A1, Québec, Canada.

Fanny Vermandele (F)

Laboratory of Marine Ecological and Evolutionary Physiology, Department of Biology, Chemistry and Geography, University of Quebec in Rimouski, 300 Allée des Ursulines, Rimouski, G5L 3A1, Québec, Canada.

Charlotte Carrier-Belleau (C)

Department of Biology, Laval University, Quebec, Canada.

Aura Barria-Araya (A)

Laboratory of Marine Ecological and Evolutionary Physiology, Department of Biology, Chemistry and Geography, University of Quebec in Rimouski, 300 Allée des Ursulines, Rimouski, G5L 3A1, Québec, Canada.

Remi Daigle (R)

Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada; Marine Affairs Program, Dalhousie University, Halifax, Nova Scotia, Canada.

Helen S Findlay (HS)

Plymouth Marine Laboratory, Plymouth, UK.

Timothée Poisot (T)

Department of Biological Sciences, University of Montreal, Montreal, Canada.

Classifications MeSH