A framework for reconstructing ancient food webs using functional trait data
A framework for reconstructing ancient food webs using functional trait data
复制标题
使用功能特征数据重建古代食物网的框架
DOI：
10.1101/2024.01.30.578036
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发表时间：
2024
期刊：
影响因子：
--
通讯作者：
Shaw J
中科院分区：
文献类型：
--
作者：
Shaw J
食物网为生态群落的结构和动态提供了定量的见解。以前的工作已经表明，它们在理解现代和古代扰动，包括人为变化和大规模迁移的社区响应的效用。然而，一些古老的食物网已经重建，由于难以评估来自不完整的化石记录的灭绝物种之间的营养相互作用。pendulum利用功能特征数据预测现代生态系统中的相互作用，并通常用于化石生物重建古代食物网。我们通过以下方式测试该模型：（i）将其应用于四个具有经验约束食物网的现代生态系统，以直接比较PFIM构建的网络与其经验对应网络，（ii）通过仔细比较PFIM推断的网络与其中一个系统中的经验网络之间的差异，和（iii）通过比较描述可行营养相互作用的网络（“可行网”）与网络，我们从现代理论（“实现网”）的特点互动分布。作为一个概念的证明，我们然后应用该方法从两个寒武纪化石矿床的动物群数据重建古代tropical system.PFIM推断可行的食物网成功地预测了70%的营养相互作用在四个现代系统。此外，具有强制相互作用分布的推断食物网（即，实现的网络）准确地预测了90%的交互。与营养相互作用和其他食物网模型的全球数据库的比较表明，根据采样的经验网络占高达21%的剩余差异之间的Pingdom和经验food webs.Food网可以合理地近似推断营养相互作用的基础上生活习性traits。这项研究为在化石记录中使用基于特征的推理模型来研究古代食物网和群落进化提供了基础。
Food webs provide quantitative insights into the structure and dynamics of ecological communities. Previous work has shown their utility in understanding community responses to modern and ancient perturbations, including anthropogenic change and mass extinctions. However, few ancient food webs have been reconstructed due to difficulties assessing trophic interactions amongst extinct species derived from an incomplete fossil record.We present and assess the Paleo Food web Inference Model (PFIM). PFIM uses functional trait data—predictive of interactions in modern ecosystems and commonly available for fossil organisms—to reconstruct ancient food webs. We test the model by (i) applying it to four modern ecosystems with empirical constrained food webs to directly compare PFIM-constructed networks to their empirical counterparts, (ii) by carefully comparing discrepancies between PFIM-inferred and empirical webs in one of those systems, and (iii) by comparing networks describing feasible trophic interactions (“feasible webs”) with networks to which we superimpose characteristic interaction distributions derived from modern theory (“realized webs”). As a proof of concept, we then apply the method to faunal data from two Cambrian fossil deposits to reconstruct ancient trophic systems.PFIM-inferred feasible food webs successfully predict ∼70% of trophic interactions across four modern systems. Furthermore, inferred food webs with enforced interaction distributions (i.e., realized webs) accurately predict ∼90% of interactions. Comparisons with a global database of trophic interactions and other food web models, suggest that under sampling of empirical webs accounts for up to 21% of the remaining differences between PFIM and empirical food webs.Food webs can be reasonably approximated by inferring trophic interactions based upon life habit traits. This study provides the foundation to use trait-based inference models across the fossil record to examine ancient food webs and community evolution.
解开古代食物网中的生态和埋藏信号
影响因子：
2.7
作者：
Shaw, Jack O.;Coco, Emily;Wootton, Kate;Daems, Dries;Gillreath-Brown, Andrew;Swain, Anshuman;Dunne, Jennifer A.
通讯作者：
Dunne, Jennifer A.