Measuring fishing effort is a common practice in fisheries management. Traditional access‐point or roving creel surveys rely on in‐person interaction between management agency personnel and anglers, the cost of which can restrict where and when the surveys can be performed. Increasing the efficiency of the techniques that are used to estimate recreational fishing effort would benefit management agencies by reducing costs or allowing for sampling at more waterbodies. We investigated using motion‐triggered game cameras installed at boat ramps to capture the number of fishing trips, number of anglers, and trip durations to be used in estimating fishing effort. We tested boat ramp cameras at five lakes in the Florida Panhandle and peninsular Florida having diversity in their fisheries and user‐group characteristics and ranging from small (<300 ha) to large (>12,000 ha). On three of the lakes, we concurrently conducted roving creel surveys, allowing us to compare the methods’ estimates of fishing effort, costs, and personnel time. The camera‐based estimates of fishing effort were similar to those from the roving creel survey but tended to exceed them, including up to a factor of 2.22 in one case. These differences in effort estimates may have been due to several things such as erroneously designating some nonfishing trips as fishing trips during photo analysis, overestimating time spent fishing by ascribing all of the time between launch and retrieval to fishing, or underestimating fishing effort via roving creel surveys, as creel clerks might have occasionally missed anglers during the angler counts. Roving creel surveys were 1.25–2.50 times as expensive as camera counts because the cameras required less personnel effort. The detection probabilities that were calculated from the camera results ranged from 0.57 to 1.00, but the value was ≥ 0.86 at four of the five lakes. Despite some challenges, boat ramp cameras provided an effective, cost‐beneficial tool for estimating fishing effort.

中文翻译：

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使用自主摄像机估算舷梯与鱼el架上的休闲钓鱼工作量

衡量捕捞努力是渔业管理中的一种普遍做法。传统的接入点或粗纱架调查依赖于管理机构人员与垂钓者之间的亲自互动，其成本可能会限制在何时何地进行调查。提高用于估计休闲捕鱼工作量的技术的效率，将通过降低成本或允许在更多水体进行采样而使管理机构受益。我们调查了安装在船舷梯上的运动触发游戏摄像机，以捕获捕鱼次数，垂钓者数量和行程时间，以估算捕鱼量。我们在佛罗里达州Panhandle和佛罗里达半岛的五个湖上测试了船用坡道相机，这些相机的渔业和用户群特征各不相同，范围从小型（< 300公顷）到大型（> 12,000公顷）。在三个湖泊中，我们同时进行了粗纱架调查，使我们能够比较方法对捕捞努力，成本和人员时间的估计。基于摄像头的捕捞努力估计值类似于粗纱架调查中的估计值，但往往超过了估计值，在一个案例中高达2.22。估算工作量的这些差异可能是由于以下几方面的原因：例如在照片分析过程中错误地将一些非捕鱼行程指定为捕鱼行程；通过将捕鱼时间从开始到恢复到捕鱼之间的所有时间都高估了捕鱼所花费的时间；或者通过粗纱架低估了捕鱼工作量调查，因为在钓鱼者计数期间，筒子架文员可能偶尔会错过钓鱼者。粗纱架调查为1.25–2。成本是摄像机的50倍，因为摄像机所需的人力更少。根据相机结果计算出的检测概率在0.57至1.00之间，但在五个湖泊中的四个湖泊中，该值≥0.86。尽管存在一些挑战，但舷梯摄像机为估算捕鱼量提供了一种有效的，具有成本效益的工具。