Assessing the biomass and productivity of fin- and shellfish supported by coastal ecosystems is important to develop plans for the conservation and restoration of these ecosystems, but such assessments are not easy to obtain. We developed a protocol that, from density data, quantifies biomass at recruitment for species where information exists to derive life history tables, and productivity where such information does not exist. Our protocol also assesses the variability (i.e., variance) for the calculated biomass and productivity values. For relatively well-reported species, inferences regarding differences among habitats or species can be suggested. For instance, application of our protocol to juvenile pinfish confirms its well-known preference for structured habitats. Mud crabs also seem to reach higher productivity levels in structured than open bottom habitats. For poorly reported species, only a general idea can be gleaned. However, larger data sets of fin- and shellfish density in shallow coastal systems are needed to increase the accuracy, precision, and comprehensiveness of the estimates of biomass at recruitment and productivity generated with our protocol. With such larger data sets and the use of statistical tools such as Bayesian methods, the protocol can significantly help improve our understanding and management of fisheries productivity in coastal systems.

评估沿海生态系统所支持的鳍和贝类的生物量和生产力对于制定保护和恢复这些生态系统的计划很重要，但是这种评估并不容易获得。我们开发了一种协议，该协议从密度数据中量化了存在信息的物种招募时的生物量，该信息存在以得出生命历史表，而生产力则不存在此类信息。我们的协议还评估了计算出的生物量和生产率值的变异性（即方差）。对于报告相对较好的物种，可以建议有关生境或物种之间差异的推断。例如，将我们的规程应用到幼年pin鱼上，证实了其对结构化栖息地的众所周知的偏爱。与开放底栖生境相比，泥蟹在结构化生境中似乎也能达到更高的生产力水平。对于报道不佳的物种，只能收集一个总体思路。但是，在沿海浅海系统中，需要较大的鳍和贝类密度数据集，以提高根据我们的协议产生的招聘和生产力时生物量估算值的准确性，准确性和全面性。有了如此大量的数据集并使用贝叶斯方法之类的统计工具，该协议可以极大地帮助我们增进对沿海系统渔业生产力的了解和管理。以及根据我们的协议生成的招聘和生产力时的生物量估算值的全面性。有了如此大量的数据集并使用贝叶斯方法之类的统计工具，该协议可以极大地帮助我们增进对沿海系统渔业生产力的了解和管理。以及根据我们的协议生成的招聘和生产力时的生物量估算值的全面性。有了如此大量的数据集并使用贝叶斯方法之类的统计工具，该协议可以极大地帮助我们增进对沿海系统渔业生产力的了解和管理。