2018年大亚湾浮游动物调查

数据集主要包括大亚湾12个CERN联网观测站浮游动物逐季度长期观测资料。数据的观测按照海湾生态系统浮游植物观测方法进行,主要观测指标包括浮游动物个体数、浮游动物优势种、浮游动物大类分类等。本数据集对于了解全球气候变化和人类活动共同影响下的大亚湾生态系统浮游生物群落的时空分布和长期变化具有重要意义。

This dataset primarily contains long-term quarterly observational data of zooplankton from 12 networked CERN monitoring stations in Daya Bay. The observations were performed in accordance with the standard monitoring protocols for phytoplankton in bay ecosystems, with core measurement indices including zooplankton abundance, dominant zooplankton species, and higher-level zooplankton taxonomic classifications, among others. This dataset holds critical scientific significance for comprehending the spatiotemporal distribution and long-term dynamics of plankton communities in the Daya Bay ecosystem under the combined impacts of global climate change and human activities.

搜集汇总

背景与挑战

背景概述

该数据集是2018年在大亚湾进行的浮游动物调查数据，基于12个CERN联网观测站的逐季度观测，包括浮游动物个体数、优势种和大类分类等指标，用于研究生态系统在气候变化和人类活动影响下的时空分布和长期变化，数据质量较好，适用于海洋生物学和生态学研究。