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 We combine this knowledge with results from simulation modelling and information from published and unpublished literature and reports to generate hypotheses on the historical changes in the fisheries and ecosystem between 1950 and 2000.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.
Reviews in Fish Biology and Fisheries – Springer Journals
Published: Mar 30, 2005
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera