Authors: Cheung, William¹; Sadovy, Yvonne²

Source: Reviews in Fish Biology and Fisheries, Volume 14, Number 2, June 2004 , pp. 181-206(26)

Publisher: Springer

Abstract:

This study reconstructs the likely historical changes of the data-limited Hong Kong’s inshore fisheries and evaluates their probable effects on the marine ecosystem, based on multiple information sources. Local knowledge on changes in the fisheries and the marine ecosystem is collected from commercial fishers, recreational divers and fishery officials. We combine this knowledge with results from simulation modelling and information from published and unpublished literature and reports to generate hypotheses on the historical changes in the fisheries and ecosystem between 1950 and 2000. The analyses suggest that traditionally targeted fishes had already been over-exploited by the 1970s, following a rapid drop in catch per unit effort in the 1960s. This paralleled a dramatic expansion of fishing effort. Ecosystem structure shifted as the large predatory species became depleted and small fishes and benthic invertebrates gained dominance. High demand for small fishes as fish-feed for aquaculture farms, high market price of benthic knowledge from resource users and managers provided an important, sometimes the sole, source of information to understand the fishery (Johannes, 1998; Johannes et al., 2000). In this study, we demonstrated that the use of the best available information obtained from limited landings and effort statistics, expert knowledge from resource users and managers, andÆresults from simulation modelling, provided informative qualitative and, to a certain degree, quantitative descriptions of fishery development, contributing to an understanding of fishery history and identification of management challenges. Caution is urged since the approach is based heavily on a number of assumptions that need to be carefully validated. We assumed that the interviews provided an unbiased description of the changes in fisheries and the marine ecosystem. However, psychological studies have suggested that autobiographic memory - memory that is specific, personal, and long-lasting, and usually of significance to the self-system (e.g., Thompson et al., 1996) – could be biased as a result of affective association. For instance, study on university students’ abilities to recall the grades they obtained in various subjects during high schools generally showed that memory was best for experiences that were affectively pleasant, intermediate for experiences that are unpleasant, and worst for experiences that are neutral (Koch, 1930; Waters and Leeper 1936; Thompson, 1985; Bahrick et al., 1996). Moreover, the ability to recall autobiographical memory was shown to decline with age, particularly when the events occurred in the distant past (Pascale et al., 2002). The interviewees’ memories on past marine resource abundance were generally autobiographic memory and might have affectively associated the past with the most productive years of their fishing experience. Thus the description of the past they provided might be positively biased. Information and descriptions from other independent sources help to assess the validity of the interview data and in the present study, information from different sources seemed to converge. However, future studies on autographic memory of fishers’ fishing experience could enhance the validity of the approach. The approach described in this paper is useful in retrospective analysis and diagnosis of a fishery in a data-sparse condition. However, more conventional fishery data and analytical tools may be required for fine-tuning future management and there is little substitute for regular fishery monitoring.

Keywords: data-limited; ecopath; ecosim; Hong Kong fisheries; local knowledge

Document Type: Research article

DOI: http://dx.doi.org/10.1007/s11160-004-5422-y

Affiliations: 1: Department of Ecology and Biodiversity, The University of Hong Kong, Pok Fu Lam Road, Hong Kong SAR, China, Email: w.cheung@fisheries.ubc.ca 2: Department of Ecology and Biodiversity, The University of Hong Kong, Pok Fu Lam Road, Hong Kong SAR, China,

Publication date: 2004-06-01

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