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Using Tournament Angler Data to Rapidly Assess the Invasion Status of Alien Sport Fishes (Micropterus spp.) in Southern Africa

机译:使用锦标赛钓鱼者数据快速评估南部非洲外来运动鱼(Micropterus spp。)的入侵状况

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摘要

Fishes are one of the most commonly introduced aquatic taxa worldwide, and invasive fish species pose threats to biodiversity and ecosystem function in recipient waters. Considerable research efforts have focused on predicting the invasibility of different fish taxa; however, accurate records detailing the establishment and spread of invasive fishes are lacking for large numbers of fish around the globe. In response to these data limitations, a low-cost method of cataloging and quantifying the temporal and spatial status of fish invasions was explored. Specifically, angler catch data derived from competitive bass angling tournaments was used to document the distribution of 66 non-native populations of black bass (Micropterus spp.) in southern Africa. Additionally, catch data from standardized tournament events were used to assess the abundance and growth of non-native bass populations in southern Africa relative to their native distribution (southern and eastern United States). Differences in metrics of catch per unit effort (average number of fish retained per angler per day), daily bag weights (the average weight of fish retained per angler), and average fish weight were assessed using catch data from 14,890 angler days of tournament fishing (11,045 days from South Africa and Zimbabwe; 3,845 days from the United States). No significant differences were found between catch rates, average daily bag weight, or the average fish weight between countries, suggesting that bass populations in southern Africa reach comparable sizes and numbers relative to waters in their native distribution. Given the minimal cost associated with data collection (i.e. records are collected by tournament organizers), the standardized nature of the events, and consistent bias (i.e. selection for the biggest fish in a population), the use of angler catch data represents a novel approach to infer the status and distribution of invasive sport fish.
机译:鱼类是世界上最常见的水生生物分类之一,入侵性鱼类物种对接收水域的生物多样性和生态系统功能构成威胁。大量的研究工作集中在预测不同鱼群的入侵性上。但是,对于全球范围内的大量鱼类,缺乏详细记录入侵鱼类的建立和传播的准确记录。针对这些数据的局限性,探索了一种低成本的方法来对鱼类入侵的时空状况进行分类和量化。具体来说,从竞争性的鲈鱼钓鱼比赛中获得的垂钓者捕获数据用于记录南部非洲66个非本地黑鲈种群的分布情况(Micropterus spp。)。此外,来自标准化锦标赛事件的捕获数据用于评估南部非洲非本地低音种群相对于其本地分布(美国南部和东部)的丰度和增长。使用锦标赛钓鱼的14,890个钓鱼者日的捕获数据评估每单位工作量捕捞量(每个钓鱼者每天保留的平均鱼数),日袋重(每个钓鱼者保留的平均鱼重)和平均鱼重的度量标准差异。 (来自南非和津巴布韦的11,045天;来自美国的3,845天)。各国之间的捕获率,平均每日袋重或平均鱼重之间没有发现显着差异,这表明南部非洲的鲈鱼种群数量和数量与本地分布的水域相当。鉴于与数据收集(即记录由比赛组织者收集)相关的最低成本,事件的标准化性质以及一致的偏见(即对种群中最大的鱼类的选择),使用垂钓者捕获数据代表了一种新颖的方法推断入侵性运动鱼的状况和分布。

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