An approach to assess data-less small-scale fisheries: examples from Congo rivers.
Ontology highlight
ABSTRACT: Small-scale fisheries (SSF) account for much of the global fish catch, but data to assess them often do not exist, impeding assessments of their historical dynamics and status. Here, we propose an approach to assess 'data-less' SSF using local knowledge to produce data, life history theory to describe their historical multispecies dynamics, and length-based reference points to evaluate stock status. We demonstrate use of this approach in three data-less SSFs of the Congo Basin. Fishers' recalls of past fishing events indicated fish catch declined by 65-80% over the last half-century. Declines in and depletion of many historically important species reduced the diversity of exploited species, making the species composition of the catch more homogenous in recent years. Length-at-catch of 11 o
SUBMITTER: Castello L
PROVIDER: S-EPMC10030197 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature
ACCESS DATA