| Literature DB >> 35673861 |
Sebastian A Heilpern1,2, Suresh A Sethi3, Ronaldo B Barthem4, Vandick da Silva Batista5, Carolina R C Doria6,7, Fabrice Duponchelle7,8, Aurea García Vasquez7,9, Michael Goulding10, Victoria Isaac11, Shahid Naeem1, Alexander S Flecker12.
Abstract
Inland fisheries feed greater than 150 million people globally, yet their status is rarely assessed due to their socio-ecological complexity and pervasive lack of data. Here, we leverage an unprecedented landings time series from the Amazon, Earth's largest river basin, together with theoretical food web models to examine (i) taxonomic and trait-based signatures of exploitation in inland fish landings and (ii) implications of changing biodiversity for fisheries resilience. In both landings time series and theory, we find that multi-species exploitation of diverse inland fisheries results in a hump-shaped landings evenness curve. Along this trajectory, abundant and large species are sequentially replaced with faster growing and smaller species. Further theoretical analysis indicates that harvests can be maintained for a period of time but that continued biodiversity depletion reduces the pool of compensating species and consequently diminishes fisheries resilience. Critically, higher fisheries biodiversity can delay fishery collapse. Although existing landings data provide an incomplete snapshot of long-term dynamics, our results suggest that multi-species exploitation is affecting freshwater biodiversity and eroding fisheries resilience in the Amazon. More broadly, we conclude that trends in landings evenness could characterize multi-species fisheries development and aid in assessing their sustainability.Entities:
Keywords: Amazon; data-limited; ecological modelling; ecosystem management; food webs; multi-species
Mesh:
Year: 2022 PMID: 35673861 PMCID: PMC9174703 DOI: 10.1098/rspb.2022.0726
Source DB: PubMed Journal: Proc Biol Sci ISSN: 0962-8452 Impact factor: 5.530