Sustainability assessment and management evaluation of broad-scale recreational fisheries are routinely informed using effort and catch data sourced from recurring offsite surveys. Similar information is often required for small-scale recreational fisheries and other spatial management areas. Data from four state-wide recreational fishing surveys in Western Australia were evaluated using grid- and location-based direct estimation approaches to determine whether effort and total catch could be estimated robustly for small-scale geographical areas. Marine protected areas (MPAs) were selected as case studies, and robustness of the various approaches was assessed based on acceptable sample size and uncertainty. Effort and total catch (number retained and released across all species) were robustly estimated for 19 MPAs. Total catch was also robustly estimated for 32 teleost species across multiple MPAs. Robust estimates were less likely for offshore MPAs than coastal MPAs, with lower sample sizes associated with greater distance from boat ramps and population centres. Grid-based approaches were therefore generally more appropriate for offshore MPAs, while location-based approaches were more appropriate for coastal MPAs. This study demonstrates how existing monitoring of broad-scale recreational fisheries fulfils a need for similar data in small-scale recreational fisheries, thereby allowing for the efficient use of resources that benefit fisheries management and conservation objectives.

中文翻译：

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从大范围调查数据中对休闲捕鱼努力和渔获量进行小规模估计：使用西澳大利亚多用途海洋保护区的案例研究

大范围休闲渔业的可持续性评估和管理评估通常使用来自经常性异地调查的努力和捕获数据来获得信息。小型休闲渔业和其他空间管理领域通常需要类似的信息。使用基于网格和位置的直接估计方法评估了西澳大利亚州四次全州休闲捕鱼调查的数据，以确定是否可以对小规模地理区域的努力量和总捕获量进行稳健估计。选择海洋保护区 (MPA) 作为案例研究，并根据可接受的样本量和不确定性评估各种方法的稳健性。对 19 个海洋保护区的努力量和总捕获量（所有物种保留和释放的数量）进行了稳健估计。对多个海洋保护区的 32 种硬骨鱼物种的总捕捞量也进行了强有力的估计。与沿海 MPA 相比，海上 MPA 不太可能进行可靠的估计，样本量较小与离船坡道和人口中心的距离较远有关。因此，基于网格的方法通常更适合海上 MPA，而基于位置的方法更适合沿海 MPA。本研究展示了现有的大规模休闲渔业监测如何满足小规模休闲渔业对类似数据的需求，从而允许有效利用有利于渔业管理和保护目标的资源。样本量越小，与船坡道和人口中心的距离越远。因此，基于网格的方法通常更适合海上 MPA，而基于位置的方法更适合沿海 MPA。本研究展示了现有的大规模休闲渔业监测如何满足小规模休闲渔业对类似数据的需求，从而允许有效利用有利于渔业管理和保护目标的资源。样本量越小，与船坡道和人口中心的距离越远。因此，基于网格的方法通常更适合海上 MPA，而基于位置的方法更适合沿海 MPA。本研究展示了现有的大规模休闲渔业监测如何满足小规模休闲渔业对类似数据的需求，从而允许有效利用有利于渔业管理和保护目标的资源。