Assessment and Management of Data‐Poor Fisheries

Pilling, Graham M.; Apostolaki, Panayiota; Failler, Pierre; Floros, Christos; Large, Philip A.; Morales‐Nin, Beatriz; Reglero, Patricia; Στεργίου, Κωνσταντίνος Ι.; Tsikliras, Athanassios C.

doi:10.1002/9781444302653.ch12

Cited by 62 publications

(55 citation statements)

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“…These fisheries fit the characteristics suggested by Pilling et al (2008) in which the best scientific information available is not sufficient to determine reference points and the current stock status with respect to such reference points. Additionally, to reduce the risk of the overexploitation of low-productivity species (e.g., C. leucas), managers should consider prohibiting the use of gear targeting vulnerable species (e.g., longlines and gill nets for large sharks).…”

Section: Considerations For Managementmentioning

confidence: 95%

The small-scale shark fisheries in the southern Gulf of Mexico: Understanding their heterogeneity to improve their management

Pérez‐Jiménez

Méndez‐Loeza

2015

Fisheries Research

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Section: Considerations For Managementmentioning

confidence: 95%

The small-scale shark fisheries in the southern Gulf of Mexico: Understanding their heterogeneity to improve their management

Pérez‐Jiménez

Méndez‐Loeza

2015

Fisheries Research

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“…This is to allow the implementation of the precautionary approach (FAO 1996) and adaptive management based on scientific advice also in situations where catch-data are poor (e.g. Pilling et al 2008), and to assist in the evaluation of management strategies other than TACs, even when landing data are available.…”

Section: Resultsmentioning

confidence: 99%

ALADYM: an age and length-based single species simulator for exploring alternative management strategies

Lembo

Abella

Fiorentino

et al. 2009

Aquat. Living Resour.

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-ALADYM (age-length based dynamic model) is an age-length based simulation model designed to predict the consequences of management scenarios on a single population, in terms of different metrics and indicators. Removals are simulated as total mortality modulated using a selectivity pattern and a fishing activity coefficient. ALADYM uses the classical equations of population dynamics to create a tool that uses fishery-independent information (e.g. from trawl surveys) as the primary source. The formulation of population dynamics at a small time scale (month) allows to model the effects of harvest controls that evolve through the year, which is particularly useful for fast growing species. The possibility of specifying a vector of natural mortality by age/length makes the model more suitable for situations where stocks are exploited at an early life stage, as in many Mediterranean fisheries, while introducing variations along the time of the harvesting pattern accounts for non-equilibrium situations. Stochastic effects can be added to some key life-history traits to incorporate uncertainty in input parameters and in their relationships. ALADYM can be used for a range of applications such as comparing management strategies, evaluating indicator changes or searching for reference points.

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“…Public advertising of issues may help in this regard. Peer review of assessments and transparency in the process prevent errors (Pilling et al, 2008). In the Black Sea region the ecosystem approach has not been systematically applied in management, neither it has been previously recognized as a needful and inevitable framework to sustain healthy environment.…”

Section: Discussionmentioning

confidence: 99%