Natural mortality estimators for information‐limited fisheries

By T. Kenchington. 2014

194 citations recorded by the source corpus.

Subfields: Aquatic Science, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/d71a71fdba4582b26f5dcfa143f1be388d3d3f09

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In Aquatic Science

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Quantifying fish and mobile invertebrate production from a threatened nursery habitat (2016, background): “Finally, a recent review by Kenchington (2014) suggested that the model ln(M) = 0 55 161ln(L) + 1 44(ln(Linf) + ln (K), developed by Gislason et al. (2010), showed promise but recommended further investigation of its applicability.”
Estimating Fisheries Reference Points from Catch and Resilience (2017, background): “…parameter r. Jensen (1996) suggested an evolutionary relationship between natural mortality and the somatic growth parameter K, such that K = 2/3 M. Kenchington (2014) examined 29 estimators of natural mortality and concluded that M = 1.5 K or Pauly’s (1980) empirical estimator based on growth…”
Perspectives on the intrinsic rate of population growth (2016, background): “…estimate M (instantaneous rate of natural mortality) for chondrichthyan andmany fish stocks and generate the survival schedules do not explicitly state the conditions under which the biological values of the populations used to derive those very methods were collected (see, e.g., Kenchington 2014).”
Contemporary fisheries stock assessment: many issues still remain (2015, methodology): “In a recent review of the indirect methods, Kenchington (2013) stated “None of the 30 [indirect methods] can provide accurate estimates for every species, and none appears sufficiently precise for use in analytical stock assessments, while several perform so poorly as to have no practical utility.””
A designed artificial reef is among the most productive marine fish habitats: new metrics to address ‘production versus attraction’ (2016, methodology): “Natural mortality for each species (Mi) was estimated using Gislason’s second estimator (Kenchington 2013; Online Resource 1).”
Research Priorities to Support Effective Manta and Devil Ray Conservation (2018, background): “Many indirect methods exist to estimate mortality based on other life history parameters (Pauly, 1980; Kenchington, 2014).”
A simple length-structured model based on life history ratios and incorporating size-dependent selectivity: application to spawning potential ratios for data-poor stocks (2016, unknown): “By using the life-history ratio M/K, the LB-SPR model avoids the reliance 49 on the natural mortality parameter, which, especially for exploited stocks, is notoriously 50 difficult to estimate (Kenchington 2014).”