The attached paper documents adaptive management of a small-scale bivalve fishery in South Australia. The strategy employed fishery-independent surveys and size-at-first maturity (L50) data to assess the suitability of minimum legal sizes (MLS) and total allowable commercial catches (TACC).
You might find it interesting,
Daniel
Article Optimising harvest strategies in a multi‐species bivalve fishery
There is a study by N. Iliopoulou et al. (2012) that resulted in an announcement in a Greek congress concerning an increase in the width of fish traps in the Messolongi lagoon (western Greece). Unfortunately it is in greek.
Much depends on what you mean by "successful" and come to that what you mean by "management". If you are looking for examples of success of "modern" (i.e. government-centred, science-based, conservation-oriented) fisheries management, you will have to search long and hard, whether you include all fisheries or just the small-scale ones.
On the other hand, human beings managed their fishing, more or less successfully, for millennia before the advent of large-scale, offshore fishing -- during an era when data (in the modern sense) did not exist at all. Ever-evolving variants of the systems used in the distant past have continued to be employed, still with some success, down to the present time, though they are being gradually swept aside by governmental imposition of the "modern" form of management (designed to address the problems of the large-scale, offshore fisheries -- though conspicuously ineffective for that purpose).
The best introduction to the topic is probably the ethnographic literature on the Polynesian, Micronesian and Melanesian peoples. There is also a substantial literature on the lobster fisheries of Maine, which provides insight into an application in a modern, highly-developed nation. Beyond those, you can just delve into the fisheries social-anthropology literature. Not all is directly relevant to the management of fishing but community-based management must be founded in communities and hence their structure must underpin the success (or failure) of that management.
Luis, There is a study that will appeard in the Journal of Fish Biology:
Institutional development of freshwater fish stocking in Mexico. A. L. Ibáñez*, M. Pérez-Ramírez and J. L. García-Calderón. 2014. doi:10.1111/jfb.12496, available online at wileyonlinelibrary.com
hi luis, i agree fully with trevor kenchington regarding the meaning of the term "successful manangement strategy". with regards to small-scale fisheries, there is ample literature describing effective community-based management systems (by no means limited to the south pacific) which pre-dated centralised management by government agencies. the general problem is that these knowledge, governance and management systems have been largely destroyed through centralisation of management mandates - often replacing them with vacuum.
given your reference to "data poor" management strategies, i assume that the management strategy you might be looking at is a more centralised one. if such is the case, i would invite you to look at a paper i wrote with FAO in 2000 (it is posted in my papers) on a student census in samoa, where we were tring to figure out whether it is possible to bind secondary school students from coastal communities into data collection in fisheries, and imporve the "data" situation, but also re-involving communities directly in fundamental elements of resource management through community involvement and education.
from my perspective, centralised data collection in resource-poor settings should be robust and simple, stay clear of any western-type science driven and sophisticated temptations, and aim to gather basic indicators over longer time scales in order to be able to monitor fundmenatal trends (species diversity, average species sizes, basic CPUE, etc.). rely on these to manage the fishery in an adaptive, and community-focused manner.
Try: Fujita R. et al (2013). Assessing and managing data-limited ornamental fisheries in coral reefs. Fish and Fisheries 1-15. I am not sure they actually assessed the data limited fishery, instead just talked about the process, but would be a good place to start.
There was a good volume on this topic by Richard Pollnac:
Pollnac, R.B. (ed.) (1989). Monitoring and Evaluating the Impacts of Small-Scale Fishery Projects. International Center for Marine Resource Development, University of Rhode Island, Kingston. ISBN 1-882027-0109 146pp.
hI, as highlighted by others, "management" could have differents aspect. An unusual situation is descripted here http://www.bruneco.com/phd_thesis_brunelli_eel.pdf
there may be an example of an inland fisheries in a prre-alpine lake in central Europe, Lake constance. There whitefish are harvested by about 150 local fishermen operating with drifting gill-nets. The fishery is purely effort and gear restricted, no catch quotos apply. Probably the whitefish fisheries cannot be considered as data-poor, but there is no regular stock assessment on fishing mortality and spawning stock biomass.
Here are some references:
Thomas, G., Rösch, R., and Eckmann, R. 2010. Seasonal and long-term changes in fishing depth of Lake Constance whitefish. Fisheries Management & Ecology, 17: 386-393.
Thomas, G., and Eckmann, R. 2007. The influence of eutrophication and population biomass on common whitefish (Coregonus lavaretus) growth - The Lake Constance example revisited. Canadian Journal of Fisheries & Aquatic Sciences, 64: 402-410.
You'll find the papers on Gregor Thomas ResearchGate-page.
There are multiple issues regarding data-poor fisheries and assessment is one of the most important ones.
You can find useful insight on the issue in this paper:
Pilling GM, Apostolaki P, Failler P, Floros C, Large PA, Morales-Nin B, Reglero P, Stergiou KI & Tsikliras AC (2008) Assessment and management of data-poor fisheries. In: A Payne, J Cotter, T Potter (eds) Advances in Fisheries science: 50 years on from Beverton and Holt, pp. 280-305. Blackwell Publishing, CEFAS.
Dichmont, C., Brown, I., 2010. A case study in successful management of a data-poorfishery using simple decision rules: the Queensland Spanner Crab Fishery. Mar.Coastal Fish.: Dyn. Manage. Ecosyst. Sci. 2, 1–13.