Emerging from Hjort's shadow
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Early in the 20 th century, Johan Hjort developed compelling arguments and hypotheses to explain recruitment variability that became dominant for more than 75 years.A cautious emergence from Hjort's shadow began late in the 20 th century.Hjort's "Critical Period" hypothesis, i.e., failure of first-feeding larvae to find food, and a second hypothesis, "Aberrant Drift" of eggs and larvae, were proposed to explain causes of recruitment variability.Tests of the Critical Period hypothesis became an obsession, although support for it was inconsistent and equivocal.Single-minded research on the Critical Period hypothesis gave way to realization that recruitment variability was the outcome of complex trophodynamic and physical processes acting over many temporal and spatial scales and throughout pre-recruit life.A complex mix of main effects and interacting factors can easily generate order-ofmagnitude variability in recruitment via small effects on mortality and growth rates during the abundant egg and larval stages, or via cumulative effects during the pre-recruit juvenile stage.New considerations of compensatory mechanisms that can dampen variability and stabilize recruitment emerged.A little density dependence, especially in the relatively long juvenile stage, can regulate recruitment.Multidisciplinary programs instituted in the 1990s and successful development of statistical models and coupled bio-physical models, offered new insights into mechanisms generating recruitment variability.Despite progress, forecasting recruitment remains a formidable challenge."Solving the recruitment problem" is no longer the Holy Grail of fishery science.Appreciating recruitment variability, explaining its probable causes, considering implications for management, and understanding it in the context of broader variability in marine ecosystems, are all worthy goals.
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Faster growth as a function of a more productive environment is related to less exposure to predation by shortening the duration of vulnerable stages.
“On the other hand, faster growth as a function of a more productive environment is related to less exposure to predation by shortening the duration of vulnerable stages (Houde, 2008).”
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Cushing, D. H. (1990) · Advances in Marine Biology · doi:10.1016/s0065-2881(08)60202-3 · Cited by 2,098 · see citing works
A review of size dependant survival during pre-recruit stages of fishes in relation to recruitment
Anderson, J. T. (1988) · Journal of Northwest Atlantic Fishery Science · doi:10.2960/j.v8.a6 · Cited by 714 · see citing works
Jenkins, G. P., Young, J. W., & Davis, T. L. O. (1991) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f91-162 · Cited by 76 · see citing works
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- Authors
- Houde, E. D.
- Affiliations
- University of Maryland Center for Environmental Science (US)
- Corresponding author
- Houde, E D
- ORCID
- Houde, E D
- Venue
- Journal of Northwest Atlantic Fishery Science
- Published
- 2008-08-18
- Volume
- 41
- Pages
- 53-70
- ISSN
- 0250-6408 (ISSN-L)
- 1682-9786
- 1811-8224
- OpenAlex
- W2157609210
- Cited by
- 837
- References
- 3
- Citations by year
- 2026: 48 · 2025: 47 · 2024: 50 · 2023: 50 · 2022: 51 · 2021: 59 · 2020: 60 · 2019: 61 · 2018: 52 · 2017: 46 · 2016: 55 · 2015: 60 · 2014: 64 · 2013: 35 · 2012: 35
- FWCI
- 19.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Northwest Atlantic Fishery Science (publishedVersion)
- Funders
- National Science Foundation (0453905)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
- Keywords
- recruitment variability, Johan Hjort, critical period hypothesis, larval mortality, larval drift, compensatory mechanisms, density dependence, juvenile mortality, recruitment forecasting, fisheries management
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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