Restored streams recover food web properties but with different scaling relationships when compared to natural streams

Despite extensive studies revealing differences in the composition of aquatic assemblages between restored streams and natural or pre-restoration states, understanding the ecological consequences and trajectories of stream restoration remains challenging. Food webs are an important way of mapping biodiversity to ecosystem functioning by describing feeding linkages and energy transfer pathways. Describing food webs can provide ecological insights into stream restoration. This study analyzed an unprecedentedly large quantity of food web data (> 1,700 webs) based on long-term (2008–2018) biomonitoring data in South Korea using a feeding link extrapolation. By doing so, we aimed to describe general patterns for the reassembly of aquatic food webs in restored streams. Specifically, we analyzed 12 indices related to the food web structure and robustness of restored streams and compared them with those of natural streams. First, the species richness, link numbers, link density, and connecta..., This dataset was generated using data from the National Aquatic Ecological Monitoring Program (NAEMP) in South Korea, which includes species-level and some higher taxonomic group data for fish, benthic macroinvertebrates, and epilithic diatoms collected from 284 stream survey sites. Trophic links between these taxa were extrapolated using the Global Biotic Interactions (GloBI) database to construct food webs for each of the survey sites., , # Data from: Restored streams recover food web properties but with different scaling relationships when compared to natural streams [https://doi.org/10.5061/dryad.mgqnk998s](https://doi.org/10.5061/dryad.mgqnk998s) ## Description of the data and file structure This dataset contains food web data provided in the community object format of the R cheddar package. A total of 1,773 food webs are included, representing data from 284 survey locations, constructed annually over the period from 2008 to 2018. Please note that data is not available for all years. Each food web is stored as a community object in the R cheddar package format and is named sequentially as Web1, Web2, ..., Web1773. Each community object contains three main components: nodes: Taxonomic information for each observed taxon in the food web. properties: Metadata including the survey year and stream type (restored or natural). trophic.links: Consumer-resource interactions in the food web. ## Files and variables ####...尽管已有大量研究揭示了修复溪流与天然溪流或修复前状态间水生群落组成的差异，但学界对溪流修复的生态效应及其演替轨迹的理解仍存在诸多挑战。食物网通过描述取食联系与能量传递路径，是联结生物多样性与生态系统功能的重要框架。解析食物网能够为溪流修复研究提供关键生态学视角。本研究基于韩国2008年至2018年的长期水生生物监测数据，采用取食联系外推法，分析了空前大规模的食物网数据集（超1700个食物网），旨在阐明修复溪流中水生食物网重新组装的通用模式。具体而言，我们分析了与修复溪流食物网结构和鲁棒性相关的12项指标，并将其与天然溪流的对应指标进行对比。其一，物种丰富度、联系数、联系密度及连接度（原文此处内容截断）…… 本数据集源自韩国国家水生生态监测计划（National Aquatic Ecological Monitoring Program, NAEMP），该计划采集了284个溪流调查点位的鱼类、底栖大型无脊椎动物以及附石硅藻的物种级及部分高级阶元分类数据。研究借助全球生物交互数据库（Global Biotic Interactions, GloBI）外推这些类群间的营养联系，为每个调查点位构建食物网。 # 数据来自：《修复溪流可恢复食物网属性，但与天然溪流相比呈现不同的缩放关系》 https://doi.org/10.5061/dryad.mgqnk998s ## 数据与文件结构说明 本数据集采用R语言cheddar包的群落对象格式存储食物网数据，共包含1773个食物网，对应2008年至2018年间每年采集的284个调查点位的数据。请注意：并非所有年份的所有点位均有有效数据。 每个食物网均以R cheddar包格式的群落对象存储，并按顺序命名为Web1、Web2……Web1773。每个群落对象包含三个核心组成部分： 1. nodes：食物网中各观测类群的分类学信息 2. properties：元数据，包括调查年份与溪流类型（修复型或天然型） 3. trophic.links：食物网中的消费者-资源相互作用关系 ## 文件与变量 ####...