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  • 1
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    A new approach for estimating stock status from length frequency data (2018)
    Oxford Univ. Press
    In:  ICES Journal of Marine Science, 75 (6). pp. 2004-2015.
    Details
    Publication Date: 2021-02-08
    Description: This study presents a new method (LBB) for the analysis of length frequency data from commercial catches. LBB works for species that grow throughout their lives, such as most commercially-important fish and invertebrates, and requires no input in addition to length frequency data. It estimates asymptotic length, length at first capture, relative natural mortality, and relative fishing mortality. Standard fisheries equations can then be used to approximate current exploited biomass relative to unexploited biomass. In addition, these parameters allow the estimation of length at first capture that would maximize catch and biomass for a given fishing effort, and estimation of a proxy for the relative biomass capable of producing maximum sustainable yields. Relative biomass estimates of LBB were not significantly different from the “true” values in simulated data and were similar to independent estimates from full stock assessments. LBB also presents a new indicator for assessing whether an observed size structure is indicative of a healthy stock. LBB results will obviously be misleading if the length frequency data do not represent the size composition of the exploited size range of the stock or if length frequencies resulting from the interplay of growth and mortality are masked by strong recruitment pulses.
    Type: Article , PeerReviewed
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    DOI: 10.1093/icesjms/fsy078
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 2
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    Elevated trawling inside protected areas undermines conservation outcomes in a global fishing hot spot (2018)
    American Association for the Advancement of Science (AAAS)
    In:  Science, 362 (6421). pp. 1403-1407.
    Details
    Publication Date: 2021-02-08
    Description: Marine protected areas (MPAs) are increasingly used as a primary tool to conserve biodiversity. This is particularly relevant in heavily exploited fisheries hot spots such as Europe, where MPAs now cover 29% of territorial waters, with unknown effects on fishing pressure and conservation outcomes. We investigated industrial trawl fishing and sensitive indicator species in and around 727 MPAs designated by the European Union. We found that 59% of MPAs are commercially trawled, and average trawling intensity across MPAs is at least 1.4-fold higher as compared with nonprotected areas. Abundance of sensitive species (sharks, rays, and skates) decreased by 69% in heavily trawled areas. The widespread industrial exploitation of MPAs undermines global biodiversity conservation targets, elevating recent concerns about growing human pressures on protected areas worldwide.
    Type: Article , PeerReviewed
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    DOI: 10.1126/science.aau0561
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 3
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    Learning from the peer review of ‘Estimating stock status from relative abundance and resilience’ (2020)
    Institute for the Oceans and Fisheries, University of British Columbia
    In:  In: Marine and Freshwater Miscellanea II. , ed. by Pauly, D. and Ruiz-Leotaud, V. Fisheries Centre Research Reports, 28 (2). Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada, pp. 111-124.
    Details
    Publication Date: 2020-03-19
    Description: This contribution presents the detailed responses to the peer-review of Froese et al. (2019) “Estimating stock status from relative abundance and resilience” (ICES J. Mar. Sci. 2019) which outlined a method called “AMSY” for inferring biomass trends for stocks for which only catch-per-unit-effort and limited ancillary (‘priors’) data are available. The responses emphasize that the required priors are legitimate and straightforward to obtain, thus, making AMSY a method of choice in data-sparse situations. This is also a good example of the role of peer-review in validating and improving science.
    Type: Book chapter , NonPeerReviewed
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    OceanRep: Book chapter
  • 4
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    Status and conservation of sharks in the Northeast Atlantic (2013)
    In:  (Master thesis), Christian-Albrechts-Universität Kiel, Kiel, Germany, X, 130 pp
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    Publication Date: 2013-11-19
    Keywords: Course of study: MSc Biological Oceanography
    Type: Thesis , NonPeerReviewed
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    OceanRep: Thesis - not published by a publisher
  • 5
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    Estimating stock status from relative abundance and resilience (2020)
    Oxford Univ. Press
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    Publication Date: 2023-02-08
    Description: The Law of the Sea as well as regional and national laws and agreements require exploited populations or stocks to be managed so that they can produce maximum sustainable yields. However, exploitation level and stock status are unknown for most stocks because the data required for full stock assessments are missing. This study presents a new method (AMSY) that estimates relative population size when no catch data are available using time-series of catch-per-unit-effort or other relative abundance indices as the main input. AMSY predictions for relative stock size were not significantly different from the “true” values when compared with simulated data. Also, they were not significantly different from relative stock size estimated by data-rich models in 88% of the comparisons within 140 real stocks. Application of AMSY to 38 data-poor stocks showed the suitability of the method and led to the first assessments for 23 species. Given the lack of catch data as input, AMSY estimates of exploitation come with wide margins of uncertainty which may not be suitable for management. However, AMSY seems to be well suited for estimating productivity as well as relative stock size and may, therefore, aid in the management of data-poor stocks.
    Type: Article , PeerReviewed
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 6
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    A natural constant predicts survival to maximum age (2021)
    Nature Research
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    Publication Date: 2024-02-07
    Description: Information about the survival of species is important in many ecological applications. Yet, the estimation of a species’ natural mortality rate M remains a major problem in the management and conservation of wild populations, often circumvented by applying empirical equations that relate mortality to other traits that are more easily observed. We show that mean adult M can be approximated from the general law of decay if the average maximum age reached by individuals in a cohort is known. This is possible because the proportion P of individuals surviving to the average maximum age in a cohort is surprisingly similar across a wide range of examined species at 1.5%. The likely reason for the narrow range of P is a universal increase in the rate of mortality near the end of life, providing strong evidence that the evolutionary theories of ageing are the norm in natural populations.
    Type: Article , PeerReviewed
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    OceanRep: Article in a Scientific Journal - peer-reviewed
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