Crustacean fisheries, which are influenced by environmental drivers, can benefit from spatial management solutions. More size limit zones or other controls afford finer tuning of management solutions, but can also increase complexity in fishing operations. Defining management boundaries, and the feasibility of that compliance can be a balancing act between numerous stakeholders from commercial and recreational fishers, environmental groups and the science which informs such decisions. In Tasmania, the Southern Rock Lobster, SRL (), exhibits dramatic growth variation across its range from the north to south of the fishery. A known proxy for growth is the Onset of Size of Maturity (SoM), which we have calculated for SRL at specific locations around Tasmania using a General Additive Model. Five assessment methods (objective functions: absolute difference and squared difference, both with and without equal zone weighting, and directionally penalised absolute difference) were used to identify possible management boundaries. Objective function inputs were the same for each method, and comprised of 100000 permutations of sampled SoM and spatial boundary locations for assessed regimes of 1–5 spatial boundaries. Statistical methods were applied to make zonation optimal for biology based on SoM. The results show that number of spatial zones required to yield “good” results did not require overly complex management solutions, nor unwieldy enforcement. Specifically, an investigation into two distinct spatial boundaries yielded solutions in which a critical, narrow boundary was complemented by a more flexibly located, secondary boundary for results of similar quality. The recommendations provided are in ranges of feasible locations, and likely to satisfy all stakeholders.

中文翻译：

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我们是否对塔斯马尼亚南部岩龙虾渔业的管理分区考虑过多？成熟度方法的规模

受环境驱动因素影响的甲壳类渔业可以从空间管理解决方案中受益。更多的尺寸限制区域或其他控制措施可以更好地调整管理解决方案，但也会增加捕捞作业的复杂性。定义管理边界以及合规性的可行性可以是来自商业和休闲渔民、环保组织以及为此类决策提供信息的科学的众多利益相关者之间的平衡行为。在塔斯马尼亚，南岩龙虾 (SRL) 从渔业北部到南部的范围内表现出巨大的生长变化。一个已知的增长指标是成熟规模开始 (SoM)，我们使用通用累加模型计算了塔斯马尼亚周围特定地点的 SRL。使用五种评估方法（目标函数：绝对差和平方差、有或没有等区加权以及定向惩罚绝对差）来识别可能的管理边界。每种方法的目标函数输入相同，由采样 SoM 和空间边界位置的 100000 种排列组成，用于评估 1-5 个空间边界的情况。基于 SoM，应用统计方法对生物学进行优化分区。结果表明，产生“良好”结果所需的空间区域数量不需要过于复杂的管理解决方案，也不需要笨拙的执行。具体来说，对两个不同的空间边界的研究产生了解决方案，其中关键的狭窄边界由位置更灵活的次要边界进行补充，以获得相似质量的结果。所提供的建议在可行的地点范围内，并且可能满足所有利益相关者的要求。