Empirical food webs of 12 tropical reservoirs in Singapore

We present 12 food webs from tropical reservoir communities in Singapore, and summarise the topology of each with widely used network indices (e.g., connectance, link density). Each reservoir was surveyed over 4–6 sampling occasions, during which, representative animal groups (i.e., fish species, and taxonomic/functional groups of zooplankton and benthic macroinvertebrates) and all likely sources of primary production (i.e., macrophytes, periphyton, phytoplankton, and riparian terrestrial plants) were collected. We determined and measured gut content in fishes and bulk isotope (d13C and d15N) profiles of the animals collected, which contributed to estimating the relative strength of trophic relationships using Bayesian mixing models. We document our protocol here, alongside a script in the R programming language for executing data management/analyses/visualisation procedures used in our study. This data can be used to glean insights into trends in inter- and intra-specific or guild interactions in analogous freshwater lake habitats.

Methods
Please see the associated published article for details.

本研究报道了来自新加坡热带水库群落的12个食物网（food webs），并采用通用网络指标（如连接度（connectance）、链接密度（link density））对各食物网的拓扑结构进行总结。每个水库均开展了4至6次采样调查，期间采集了代表性动物类群（即鱼类物种，以及浮游动物（zooplankton）和底栖大型无脊椎动物（benthic macroinvertebrates）的分类/功能类群），以及所有潜在初级生产来源（即大型水生植物（macrophytes）、周丛藻类（periphyton）、浮游植物（phytoplankton）与河岸陆生植物（riparian terrestrial plants））。研究人员对采集样本中的鱼类肠道内容物进行了鉴定与测定，并对所有动物的整体稳定同位素（bulk isotope）谱（δ¹³C与δ¹⁵N）开展分析，借此结合贝叶斯混合模型（Bayesian mixing models）估算营养关系的相对强度。本文一并记录了本研究的实验方案，并提供了用于执行本研究中数据管理、分析与可视化流程的R语言（R programming language）脚本。该数据集可用于挖掘类似淡水湖泊生境中种间、种内或功能群互作的相关趋势，以获取研究启示。

方法
详细方法请参见已发表的相关论文。