Breathing life into fisheries stock assessments with citizen science

Breathing life into fisheries stock assessments with citizen science
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DOI:
10.1038/srep07249
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发表时间:
2014-11-28
期刊:
影响因子:
4.6
通讯作者:
Keay, I. S.
Keay, I. S.
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Fairclough, D. V.;Brown, J. I.;Keay, I. S.

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公民科学为研究人员在大空间尺度上获得大型数据集提供了一种可能具有成本效益的方法。然而,它并未广泛用于支持渔业种群评估的生物数据收集。对西澳大利亚海岸1000公里的底栖鱼类的过度捕捞导致了限制性管理,以恢复种群。这减少了科学家通过依赖渔业的抽样,特别是休闲捕鱼部门,经济有效地监测种群恢复的机会。由于不依赖渔业的方法过于昂贵且难以实施,因此制定了一项公民科学计划,将您的骨骼发送给我们(SUYS)。SUYS要求休闲渔民自愿捐赠重要物种的鱼骨,以便科学家提取生物数据,以产生年龄结构并进行种群评估分析。在SUYS期间,休闲渔民的参与、样本量和样本的时空覆盖范围显著增加,而每具骨架的收集成本大幅下降。该系统正在确保通过依赖渔业的收集来实现种群评估的抽样目标,并向管理人员提供可靠和及时的科学咨询意见。该方案还鼓励公众参与监督过程,从而使管理决策得到更大程度的接受。
Citizen science offers a potentially cost-effective way for researchers to obtain large data sets over large spatial scales. However, it is not used widely to support biological data collection for fisheries stock assessments. Overfishing of demersal fishes along 1,000 km of the west Australian coast led to restrictive management to recover stocks. This diminished opportunities for scientists to cost-effectively monitor stock recovery via fishery-dependent sampling, particularly of the recreational fishing sector. As fishery-independent methods would be too expensive and logistically-challenging to implement, a citizen science program, Send us your skeletons (SUYS), was developed. SUYS asks recreational fishers to voluntarily donate fish skeletons of important species from their catch to allow biological data extraction by scientists to produce age structures and conduct stock assessment analyses. During SUYS, recreational fisher involvement, sample sizes and spatial and temporal coverage of samples have dramatically increased, while the collection cost per skeleton has declined substantially. SUYS is ensuring sampling objectives for stock assessments are achieved via fishery-dependent collection and reliable and timely scientific advice can be provided to managers. The program is also encouraging public ownership through involvement in the monitoring process, which can lead to greater acceptance of management decisions.