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Annual Review of Marine Science Improving Marine Ecosystem Models with Biochemical Tracers

机译:生产生态追踪海洋科学船舶生态系统模型的年度综述

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摘要

Empirical data on food web dynamics and predator-prey interactions underpin ecosystem models, which are increasingly used to support strategic management of marine resources. These data have traditionally derived from stomach content analysis, but new and complementary forms of ecological data are increasingly available from biochemical tracer techniques. Extensive opportunities exist to improve the empirical robustness of ecosystem models through the incorporation of biochemical tracer data and derived indices, an area that is rapidly expanding because of advances in analytical developments and sophisticated statistical techniques. Here, we explore the trophic information required by ecosystem model frameworks (species, individual, and size based) and match them to the most commonly used biochemical tracers (bulk tissue and compound-specific stable isotopes, fatty acids, and trace elements). Key quantitative parameters derived from biochemical tracers include estimates of diet composition, niche width, and trophic position. Biochemical tracers also provide powerful insight into the spatial and temporal variability of food web structure and the characterization of dominant basal and microbial food web groups. A major challenge in incorporating biochemical tracer data into ecosystem models is scale and data type mismatches, which can be overcome with greater knowledge exchange and numerical approaches that transform, integrate, and visualize data.
机译:关于食品Web动态和捕食者 - 猎物互动的经验数据库内模型,越来越多地用于支持海洋资源的战略管理。这些数据传统上来自胃内容分析,但从生物化学示踪技术中越来越多地获得新的和互补形式的生态数据。存在广泛的机会,以通过纳入生化示踪数据和衍生指标来改善生态系统模型的经验稳健性,这是一种正在快速扩展的区域,由于分析发展和复杂的统计技术的进步。在这里,我们探索生态系统模型框架(基于物种,个体和尺寸)所需的营养信息,并将其与最常用的生物化学示踪剂(散装组织和复合特异性稳定同位素,脂肪酸和痕量元素相匹配。源自生物化学示踪剂的关键定量参数包括饮食成分,利基宽度和营养位置的估计。生化示踪剂还提供了对食品网结构的空间和时间变异性以及显性基础和微生物食物网组的表征的强大洞察。将生物化学示踪数据纳入生态系统模型的主要挑战是规模和数据类型不匹配,可以克服更大的知识交换和转换,集成和可视化数据的数字方法。

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