This study documented the history of lake fisheries in Kashmir, India, and estimated the trends in fish production using Kane's cross impact analysis (CIA) and stakeholders’ willingness to pay (WTP) for the restoration of the Schizothorax fisheries. Kane's CIA model for Lake Dal indicated a perceptible drop in Schizothorax production in the long run, and that the total catch is being maintained by an increasing contribution by carp. In Lake Wular, the CIA indicated that the size of the lake still offers scope for the co‐existence and growth of both Schizothorax as well as carp. A Classification and Regression Tree (CART) model was used to data mine multiple stakeholder responses to make a case for sustainable development of the Schizothorax fisheries in the lakes of Kashmir. The amount of time spent on the lakes to earn their livelihoods emerged as the single most important variable that determined WTP by stakeholders followed by income, type of stakeholder and age. The pruned tree gave the hierarchy of the variables that determined WTP. The results made a strong case for a concerted multi‐institutional action plan for the restoration of the Schizothorax fisheries in the lakes of Kashmir.

中文翻译：

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印度克什米尔湖裂胸鱼渔业可持续发展的利益相关者反应的交叉影响分析和数据挖掘变量层次结构

这项研究记录了印度克什米尔湖泊渔业的历史，并使用凯恩的交叉影响分析 (CIA) 和利益相关者为恢复裂胸鱼渔业支付的意愿 (WTP) 估计了鱼类生产的趋势。Kane 的 Dal 湖 CIA 模型表明，从长远来看，裂胸鱼的产量会明显下降，并且鲤鱼的贡献不断增加，从而维持了总产量。在乌拉尔湖，中央情报局表示，该湖的大小仍然为裂胸鱼和鲤鱼的共存和生长提供了空间。使用分类和回归树 (CART) 模型对多个利益相关者的反应进行数据挖掘，为克什米尔湖泊裂胸鱼渔业的可持续发展提供案例。在湖泊上谋生的时间长短成为决定利益相关者支付意愿的唯一最重要的变量，其次是收入、利益相关者类型和年龄。修剪后的树给出了决定 WTP 的变量的层次结构。结果为恢复克什米尔湖泊裂胸鱼渔业的多机构协调行动计划提供了强有力的理由。