Quantitative fisheries stock assessment: Choice, dynamics and uncertainty

By Ray Hilborn, Carl J Walters. Reviews in Fish Biology and Fisheries, 2004

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In Global and Planetary Change

Citations in the corpus

Stock assessment in inland fisheries: a foundation for sustainable use and conservation (2016, methodology): “…and long-term data collection, complex and skill-intensive analytical procedures, clear and uniform performance indicators, and frequent updating of assessments and adjustment of management measure to keep fishing within sustainable limits (Beverton and Holt 1957; Hilborn and Walters 1992).”
Environmental DNA (eDNA) as a tool for assessing fish biomass: A review of approaches and future considerations for resource surveys (2021, background): “…the size (usually biomass) of fished populations, or proxies of size that allow relative temporal trends to be examined, is usually achieved by collating in situ fishery- dependent or fishery- independent data as a basis for stock assessments (Beverton & Holt, 1957; Hilborn & Walters, 1992).”
Indicators to support an ecosystem approach to fisheries (2005, background): “Understanding and predicting the links between pressure, state and response has been a fundamental focus of single species management (Clark 1985; Hilborn and Walters 1992) and is a fundamental but often overlooked aspect of developing indicators to support an EAF (Daan 2005).”
Charting the New Territory of Adaptive Co-management: A Delphi Study (2007, background): “Adaptive management involves: generating alternative hypotheses, assessing the value of more information, developing models for future learning and hypotheses, formulating policy options, building criteria to facilitate option comparisons, and conducting option evaluation (Hilborn and Walters 1992).”
Overfishing, tropicalization of fish stocks, uncertainty and ecosystem management: resharpening Ockham's razor (2002, background): “It must also be kept in mind that the effect of the climate and of the environment cannot be distinguished from that of fishing inasmuch as fisheries managers will always respond to catch declines by assuming that fishing is the main factor and, hence, both effects will be reflected in catch records”
Risks of ignoring fish population spatial structure in fisheries management (2011, methodology): “The MSY of non-metapopulation management is the equilibrium yield at BMSY (BMSY = 0.5Ki; Hilborn and Walters 1992).”
Revealing stock–recruitment relationships in lobsters and crabs: is experimental ecology the key? (2003, background): “norvegicus Northern Europe Hill and White (1990) Bailey (1986) , Pollock (1991), Hillis and Tully (1993a,b), Tuck et al.”
Reproductive resilience: a paradigm shift in understanding spawner-recruit systems in exploited marine fish (2017, neutral): “A parameter used in conjunction with SRRs is steepness or the fraction of recruitment from an unfished population when the SSB declines to 20% of its unfished level (Hilborn and Walters 1992).”
Contemporary fisheries stock assessment: many issues still remain (2015, background): “The uncertainty results from several factors, including lack of contrast in spawning stock size, environmental variability, temporal autocorrelation in deviations about the stock–recruitment relationship, and error in estimating spawning stock size and recruitment (Hilborn and Walters, 1992; Quinn a”
TESTING ECOLOGICAL THEORY USING THE INFORMATION‐THEORETIC APPROACH: EXAMPLES AND CAUTIONARY RESULTS (2005, background): “…and Mangel 1997, Leirs et al. 1997, Fujiwara and Caswell 2001) and evolutionary dynamics (Posada and Buckley 2004), to interpret results from capture–recapture studies (Anderson et al. 1998), and to address problems involving fisheries management (Hilborn and Walters 1992, Helu et al. 2000).”
Dealing with data conflicts in statistical inference of population assessment models that integrate information from multiple diverse data sets (2017, background): “Contemporary fisheries management objectives are much more complex (Hilborn and Walters 1992), but often the main objectives relate back to optimizing benefits to humanity (e.”
Examining the utility of alternative video monitoring metrics for indexing reef fish abundance (2014, methodology): “Counts made using the MaxN approach underrepresented changes in true abundance, resulting in a nonlinear, hyperstable relationship between MaxN and true abundance (Hilborn and Walters 1992).”
MARINE RESERVES: RATES AND PATTERNS OF RECOVERY AND DECLINE OF PREDATORY FISH, 1983–2000 (2003, background): “The study is effectively an adaptivemanagement experiment (sensu Hilborn and Walters 1992), in which ‘‘reserve treatment’’ has been applied and removed over time at replicate sites.”