five

Local-regional relationships for taxonomic and functional richness complementarily reveal community assembly

收藏
DataCite Commons2026-03-23 更新2026-05-04 收录
下载链接:
https://data.mendeley.com/datasets/csd465w73d/1
下载链接
链接失效反馈
官方服务:
资源简介:
Data included regional and local taxonomic and functional diversity of aquatic insects, and regional and local environmental factors. Data were collected from headwater streams in six mountains across the Pearl River Basin, China’s largest tropical watershed. The six isolated mountains at different elevations: Nanpanjiang (NPJ), Beipanjiang (BPJ), Rongjiang (RJ), Hejiang (HJ), Bejiang (BJ), and Dongjiang (DJ). Each mountain was defined as a region, with eight streams sampled per region, except BPJ, which had seven streams due to limited natural streams in the highlands. In total, 47 streams were sampled. Data were sampled during the dry (November–December 2020) and wet (May–June 2021) seasons. Macroinvertebrates were sampled using a Surber net (30 × 30 cm, 500 μm mesh) during the dry (November–December 2020) and wet (May–June 2021). Local environmental variables were synchronously measured at each sampling site, including water velocity (Vel), depth (WD), pH, conductivity (Cond), dissolved oxygen (DO), and substrate composition. Water samples were collected for laboratory analysis of chemical variables, including total nitrogen (TN), nitrate (NO3), nitrite (NO2), ammonium (NH4), total phosphorus (TP), phosphate (PO4), silicon dioxide (SiO2), chlorophyll a (Chl), and metal ions such as aluminum (Al), zinc (Zn), copper (Cu), iron (Fe), calcium (Ca), and magnesium (Mg). Regional environmental variables, including climate data (annual precipitation [AP] and annual mean temperature [AMT]), were obtained from the WorldClim database (Hijmans et al., 2005). Vegetation coverage was estimated using the normalized difference vegetation index (NDVI) (Mazzarino and Finn, 2016). Files and variables Description: Variables RS: regional taxonomic richness LS: local taxonomic richness RFS: regional functional richness LFS: local functional richness RS(GC): regional taxonomic richness of gather-collectors RS(SC): regional taxonomic richness of scrapers RS(PR): regional taxonomic richness of predators LS(GC): local taxonomic richness of gather-collectors LS(SC): local taxonomic richness of scrapers LS(PR): local taxonomic richness of predators RFD(GC): regional functional richness of gather-collectors RFD(SC): regional functional richness of scrapers RFD(PR): regional functional richness of predators LFD(GC): local functional richness of gather-collectors LFD(SC): local functional richness of scrapers LFD(PR): local functional richness of predators AMT: annual mean temperature AP: annual precipitation TN: total nitrogen NO3: nitrate NO2: nitrite NH4: ammonium TP: total phosphorus PO4: phosphate SiO2: silicon dioxide Chl: chlorophyll a Fe: iron Ca: calcium Mg: magnesium Al: aluminum Zn: zinc Cu: copper Temp: temperature DO: dissolved oxygen Cond: conductivity Vel: water velocity Dep: depth MSUBSTD: substrate composition NDVI: normalized difference vegetation index
提供机构:
Mendeley Data
创建时间:
2026-03-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作