globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0133122
论文题名:
Matching Fishers’ Knowledge and Landing Data to Overcome Data Missing in Small-Scale Fisheries
作者: Ludmila de Melo Alves Damasio; Priscila F. M. Lopes; Rafael D. Guariento; Adriana R. Carvalho
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-7-15
卷: 10, 期:7
语种: 英语
英文关键词: Fishes ; Fisheries ; Marine fish ; Confidence intervals ; Data management ; Fish biology ; Aquaculture ; Marine ecosystems
英文摘要: Background In small-scale fishery, information provided by fishers has been useful to complement current and past lack of knowledge on species and environment. Methodology Through interviews, 82 fishers from the largest fishing communities on the north and south borders of a Brazilian northeastern coastal state provided estimates of the catch per unit effort (CPUE) and rank of species abundance of their main target fishes for three time points: current year (2013 at the time of the research), 10, and 20 years past. This information was contrasted to other available data sources: scientific sampling of fish landing (2013), governmental statistics (2003), and information provided by expert fishers (1993), respectively. Principal Findings Fishers were more accurate when reporting information about their maximum CPUE for 2013, but except for three species, which they estimated accurately, fishers overestimated their mean CPUE per species. Fishers were also accurate at establishing ranks of abundance of their main target species for all periods. Fishers' beliefs that fish abundance has not changed over the last 10 years (2003–2013) were corroborated by governmental and scientific landing data. Conclusions The comparison between official and formal landing records and fishers' perceptions revealed that fishers are accurate when reporting maximum CPUE, but not when reporting mean CPUE. Moreover, fishers are less precise the less common a species is in their catches, suggesting that they could provide better information for management purposes on their current target species.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0133122&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/21143
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Graduation Program in Development and Environment at Federal University of Rio Grande do Norte/UFRN, Natal, RN, Brazil;Department of Ecology at Federal University of Rio Grande do Norte/UFRN, Natal, RN, Brazil;Fisheries and Food Institute, Santos, SP, Brazil;Center of Biological and Health Sciences University of Mato Grosso do Sul/UFMS, Campo Grande, MS, Brazil;Department of Ecology at Federal University of Rio Grande do Norte/UFRN, Natal, RN, Brazil

Recommended Citation:
Ludmila de Melo Alves Damasio,Priscila F. M. Lopes,Rafael D. Guariento,et al. Matching Fishers’ Knowledge and Landing Data to Overcome Data Missing in Small-Scale Fisheries[J]. PLOS ONE,2015-01-01,10(7)
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