Wisconsin creel dataset as well as predictor variables for lakes from 1990 to 2017 to estimate statewide recreational fisheries harvest

Recreational fisheries have high economic worth, valued at $190B globally. An important, but underappreciated, secondary value of recreational catch is its role as a source of food. This contribution is poorly understood due to difficulty in estimating recreational harvest at spatial scales beyond an individual system, as traditionally estimated from angler creel surveys. Here, we address this gap using a 28-year creel survey of ~300 Wisconsin inland lakes. We develop a statistical model of recreational harvest for individual lakes and then scale-up to unsurveyed lakes (3769 lakes; 73% of statewide lake surface area) to generate a statewide estimate of recreational lake harvest of ~4200 t and an estimated annual angler consumption rate of ~3 kg, nearly double estimated United States per capita freshwater fish consumption. Recreational fishing harvest makes significant contributions to human diets, is critical for discussions on food security, and the multiple ecosystem services of freshwater systems.

休闲渔业（recreational fisheries）经济价值斐然，全球总产值高达1900亿美元。休闲渔获物作为食物来源的次级价值虽举足轻重，却长期未得到应有的重视。但由于传统上通过垂钓者渔获量调查（angler creel surveys）估算休闲捕捞量，且当空间尺度超出单个水体时，估算难度陡增，因此学界对这一食物贡献的认知仍较为有限。本研究依托针对美国威斯康星州约300个内陆湖泊开展的28年垂钓者渔获量调查数据，填补了这一研究空白。我们首先针对单个湖泊构建休闲捕捞量统计模型，随后将模型外推至未参与调查的3769个湖泊（占全州湖泊总面积的73%），最终估算得出全州休闲淡水湖捕捞量约4200吨，垂钓者年人均淡水鱼消费量约3公斤，这一数值几乎为美国官方统计的人均淡水鱼消费量的两倍。休闲捕捞渔获物对人类膳食贡献显著，其研究成果不仅对粮食安全相关讨论至关重要，也为淡水生态系统多项生态服务价值的探讨提供了关键支撑。