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Trends in a recreational fishery for mussels in eastern South Africa, based on postal, telephone and online surveys

机译:根据邮政,电话和在线调查,南非东部贻贝休闲渔业的趋势

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The intertidal brown mussel Perna perna is targeted by recreational and subsistence fisheries in KwaZulu-Natal, South Africa. The recreational mussel fishery is monitored by off-site postal, telephone and online questionnaire surveys, assessed in this study. Trends in fisher avidity (proportion of permit holders that went fishing), mean number of outings undertaken per quarter year and catch per unit effort (CPUE, as numbers of mussels collected per outing) between 2002 and 2015 were investigated, based on survey responses and available permit sales data. Fisher avidity was greater during summer, for fishers < 30 y old, and for residents of coastal districts. Spring low tide windows limited the number of outings to an average of 3-4 per quarter, during which most fishers collected close to the allowed daily bag limit of 30 mussels. The CPUE trend was constrained by the bag limit, and censored regression models were unable to trace the relative abundance of mussels at the spatiotemporal scale investigated. Despite low response rates and changes in survey strategy, trends based on off-site survey data were broadly consistent, providing the only long-term record of the fishery. Survey response rates, costs and logistical constraints were compared, to develop an optimal survey strategy. We suggest a mixed-mode strategy, increased use of online resources, greater representativity, improved outreach and feed-back of survey results. On-site information is required to verify data from off-site surveys.
机译:南非夸祖鲁-纳塔尔省的休闲和自给性渔业以潮间带褐色贻贝Perna perna为目标。贻贝休闲渔业通过本研究评估的异地邮政,电话和在线问卷调查进行监控。根据调查答复和数据,调查了2002年至2015年之间的渔民热情(捕鱼许可证持有者的比例),每季度年平均郊游次数和每单位工作量捕捞量(CPUE,即每次郊游收集的贻贝数量)的趋势。可用的许可证销售数据。夏季,对于30岁以下的渔民和沿海地区的居民,渔民的亲和力更高。春季低潮时段将郊游次数限制在每季度平均3-4次,在此期间,大多数渔民的捕捞量接近每日允许的30贻贝袋装极限。 CPUE趋势受制于袋限制,并且审查的回归模型无法在所调查的时空尺度上追踪贻贝的相对丰度。尽管答复率低和调查策略有所变化,但基于场外调查数据的趋势仍基本一致,是渔业的唯一长期记录。比较调查的答复率,成本和后勤限制,以制定最佳的调查策略。我们建议采取混合模式策略,增加在线资源的使用,提高代表性,改善调查结果的范围和反馈。需要现场信息来验证来自非现场调查的数据。

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