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Assessing sources of uncertainty in length-based estimates of body growth in populations of fishes and macroinvertebrates with bootstrapped ELEFAN

https://doi.org/10.1016/j.ecolmodel.2018.12.001
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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How reliable are the Powell–Wetherall plot method and the maximum-length approach? Implications for length-based studies of growth and mortality
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Fitting the exponential and logistic surplus yield models with mortality data: some explorations and new perspectives
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Assessment of Atlantic salmon (Salmo salar) habitat quality and its uncertainty using a multiple-expert fuzzy model applied to the Romaine River (Canada)
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Assessing how uncertainty and stochasticity affect the dispersal of fish in river networks
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The rise of large-scale marine protected areas: Conservation or geopolitics?
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From sea sharing to sea sparing – Is there a paradigm shift in ocean management?
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Assessment of the stock status of small-scale and multi-gear fisheries resources in the tropical Eastern Pacific region
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Shrinking of fishes exacerbates impacts of global ocean changes on marine ecosystems
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A simple approach for dealing with dynamics and uncertainty in fisheries with heterogeneous resource and effort distribution
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Global fish production and climate change
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R 2 Measures Based on Wald and Likelihood Ratio Joint Significance Tests
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Faster or slower: has growth of eastern Baltic cod changed?
inferredcites →https://doi.org/10.1093/icesjms/fss163openalex-snapshot
How does seasonal variability in growth, recruitment, and mortality affect the performance of length-based mortality and asymptotic length estimates in aquatic resources?
inferredcites →https://doi.org/10.1093/icesjms/fsu034openalex-snapshot
Reflections on the success of traditional fisheries management
inferredcites →https://doi.org/10.1093/icesjms/fsv195openalex-snapshot
Predicting reference points and associated uncertainty from life histories for risk and status assessment
inferredcites →https://doi.org/10.1093/icesjms/fsw107openalex-snapshot
Challenging ICES age estimation protocols: lessons learned from the eastern Baltic cod stock
inferredcites →https://doi.org/10.1111/2041-210x.12791openalex-snapshot
TropFishR : an R package for fisheries analysis with length‐frequency data
inferredcites →https://doi.org/10.1111/fme.12232openalex-snapshot
Extending electronic length frequency analysis in R
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Measuring uncertainty in fisheries stock assessment: the delta method, bootstrap, and MCMC
inferredcites →https://doi.org/10.1126/science.279.5352.860openalex-snapshot
Fishing Down Marine Food Webs
inferredcites →https://doi.org/10.1139/cjfas-54-8-1699openalex-snapshot
"Risk" in fisheries management: a review
inferredcites →https://doi.org/10.1201/9780429246593openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1214/aos/1176344552openalex-snapshot
Bootstrap Methods: Another Look at the Jackknife
inferredcites →https://doi.org/10.18637/jss.v053.i04openalex-snapshot
GA: A Package for Genetic Algorithms inR
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Biostatistical Analysis.
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The Analysis of Binary Data.
inferredcites →https://doi.org/10.2307/2685352openalex-snapshot
R 2 Measures Based on Wald and Likelihood Ratio Joint Significance Tests
inferredcites →https://doi.org/10.2312/meeresforschung_28_205-211openalex-snapshot
ELEFAN I, a BASIC program for the objective extraction of growth parameters from length-frequency data
inferredcites →https://doi.org/10.32614/cran.package.fishbootopenalex-snapshot
fishboot: Bootstrap-Based Methods for the Study of Fish Stocks and Aquatic Populations
inferredcites →https://doi.org/10.32614/rj-2013-002openalex-snapshot
Generalized Simulated Annealing for Global Optimization: The GenSA Package
inferredcites →https://doi.org/10.3354/meps10821openalex-snapshot
Trophic level-based indicators to track fishing impacts across marine ecosystems
inferredcites →https://doi.org/10.3354/meps10946openalex-snapshot
A century of fish biomass decline in the ocean
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FishBase 97: concepts, design and data sources

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.7287/peerj.13575v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Hide and seek shark teeth in Random Forests: machine learning applied to Scyliorhinus canicula populations (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj.13575v0.3/reviews/1openalex-snapshot
Peer Review #1 of "Hide and seek shark teeth in Random Forests: machine learning applied to Scyliorhinus canicula populations (v0.3)"
inferred← citeshttps://doi.org/10.7717/peerj.13575openalex-snapshot
Hide and seek shark teeth in Random Forests: machine learning applied to Scyliorhinus canicula populations
inferred← citeshttps://doi.org/10.7717/peerj.18397openalex-snapshot
Evaluation of traditional and bootstrapped methods for assessing data-poor fisheries: a case study on tropical seabob shrimp ( Xiphopenaeus kroyeri ) with an improved length-based mortality estimation method
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.