Spatial-temporal gradient variation patterns of fish trophic guilds in a freshwater river wetland ecosystem of northeastern China

Muling River, situated amidst cultivated lands in Heilongjiang Province, northeastern China, has long been subjected to sand-digging activities, resulting in severe damage to its riverbed. However, little research has been conducted on the impact of this disturbance on the status of fish community structure and trophic guilds in this river. In this study, environmental factors, fish community structure, and their trophic guilds biomass distribution patterns from Muling River basin were investigated along season (spring, summer, and autumn) and section (upper, middle, and lower stream) gradient both of 2015 and 2017. During the six sampling times periods, 46 species of five orders and 12 families of fish classified into seven trophic guilds. Fish species number and biomass were highest at the first five sampling sites. The insectivores (16.26%), phytoplanktivores (10.09%), benthivores (40.17%), and omnivores (11.86%) were the dominant trophic guilds. We find that fish trophic guilds biom..., , , # Spatial-temporal gradient variation patterns of fish trophic guilds in a freshwater river wetland ecosystem of northeastern China \## Description of the data and file structure The raw data contains fish biological characteristics including individual number, total weight (g), average weight (g), weight range (g), average length (cm), and length range (cm). Variance analysis and multiple comparisons analysis on differences temporal and spatial of environments and fish trophic guilds, Two-way ANOVA non-element test was used for correlation analysis. Someone who uses the data to do further analysis will need to take the fact of the fish resources into consideration. Describe relationships between data files, missing data codes, and other abbreviations used. Be as descriptive as possible. \## Sharing/Access information This is a section for linking to other ways to access the data, and for linking to sources the data is derived from, if any. Links to other publicly accessible locat...穆棱河（Muling River）位于中国东北黑龙江省的耕地流域内，长期受采砂活动影响，河床已遭到严重破坏。然而，目前针对该扰动对穆棱河鱼类群落结构及营养功能群（trophic guilds）现状的影响研究仍较为匮乏。本研究于2015年和2017年，沿季节（春季、夏季、秋季）和河段（上游、中游、下游）梯度，对穆棱河流域的环境因子、鱼类群落结构及其营养功能群的生物量分布格局开展了调查。在6次采样周期内，共采集到隶属于5目12科的46种鱼类，可划分为7个营养功能群。前5个采样点的鱼类物种数与生物量均为最高。食虫类（16.26%）、植食性浮游生物食者（phytoplanktivores，10.09%）、底栖生物食者（benthivores，40.17%）以及杂食类（11.86%）为优势营养功能群。本研究发现鱼类营养功能群的生物量…… # 中国东北淡水河流湿地生态系统中鱼类营养功能群的时空梯度变化格局 ## 数据与文件结构说明 原始数据包含鱼类生物学特征指标，具体包括个体数量、总重量（g）、平均重量（g）、重量区间（g）、平均体长（cm）以及体长区间（cm）。针对环境因子与鱼类营养功能群的时空差异，本研究采用方差分析与多重比较分析，相关分析则使用双因素方差分析（Two-way ANOVA）非元素检验方法。使用该数据集开展进一步分析的研究者，需结合该流域鱼类资源的实际情况开展研究。请详细说明各数据文件间的关联关系、缺失数据编码以及所使用的其他缩写术语。 ## 数据共享与获取途径 本章节用于提供该数据集的其他公开获取渠道，以及数据来源链接（如适用）。可公开访问的相关链接……