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The 'presentist bias' in time-series data: Implications for fisheries science and policy
2018
Marine Policy
The bias in catch time series data that occurs when improvements in fisheries catch reporting systems (e.g., consideration of a previously unmonitored fishery, or region) lead to an increase in current catches without the corresponding past catches being corrected retroactively, here called 'presentist bias' is described, and two examples, pertaining to Mozambique and Tanzania are given. This bias has the effect of generating catch time series at the aggregate that appear 'stable' or increasing
doi:10.1016/j.marpol.2018.01.015
fatcat:5qlsci76wna5hekhni5wanfkxq