1996
DOI: 10.1016/s0951-8320(96)00074-9
|View full text |Cite
|
Sign up to set email alerts
|

Assessing uncertainty and risk in exploited marine populations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
17
0

Year Published

1998
1998
2016
2016

Publication Types

Select...
5
3
1

Relationship

0
9

Authors

Journals

citations
Cited by 16 publications
(17 citation statements)
references
References 17 publications
0
17
0
Order By: Relevance
“…Principal sources of uncertainty in the assessment and management of fishery resources include the intrinsic variability in the dynamics of marine populations (notably in recruitment), measurement error in estimation of abundance and population parameters, and incomplete understanding of factors controlling population, community, and ecosystem dynamics (Fogarty et al 1992, 1996). These difficulties have led to calls for the consistent application of a precautionary approach to fishery management in which uncertainties are explicitly recognized and integrated into management advice and policy (Food and Agriculture Organization of the United Nations 1995).…”
Section: Introductionmentioning
confidence: 99%
“…Principal sources of uncertainty in the assessment and management of fishery resources include the intrinsic variability in the dynamics of marine populations (notably in recruitment), measurement error in estimation of abundance and population parameters, and incomplete understanding of factors controlling population, community, and ecosystem dynamics (Fogarty et al 1992, 1996). These difficulties have led to calls for the consistent application of a precautionary approach to fishery management in which uncertainties are explicitly recognized and integrated into management advice and policy (Food and Agriculture Organization of the United Nations 1995).…”
Section: Introductionmentioning
confidence: 99%
“…The management reference points are calculated based on the fisheries data and life history parameters using per-recruit models, production models, or stock-recruitment models and are often assumed to be deterministic when they are compared with indicator reference points. This assumption is rather unrealistic considering large variations that may exist in models, data and ecosystems (Fogarty et al, 1996;Prager et al, 2003). Thus, management advisory statements derived using such an approach of comparing deterministic management reference points with stochastic indicator references do not reflect the fact that both the indicator and management reference points are subject to considerable uncertainty, and may yield erroneous conclusions about the status of fish stocks.…”
Section: Introductionmentioning
confidence: 99%
“…Uncertainty in fishery assessments arises from several different sources: the natural variability of the stock, the errors associated with the sampling programs, insufficient information on the population/community dynamics, and the choice of statistical approach for parameter estimation (Fogarty et al, 1996;Francis and Shotton, 1997). Consequently, uncertainty affects estimates of the current fishing mortality rate, F cur , as well as the BRP fishing mortality rate, F BRP .…”
Section: Introductionmentioning
confidence: 99%