固定样地调查通过长期数据的积累和精准的时空对比获取生态系统动态特征，为长期的生态系统研究提供了坚实的基础。洞庭湖湿地生态系统观测研究站按中国生态系统研究网络(Chinese Ecosystem Research Network，CERN)统一的监测规范，对洞庭湖水文情势变化下，湿地生态系统中典型洲滩植被的物种组成和群落特征等指标进行长期定位监测。通过东洞庭湖三种典型湿地植物群落(苔草，南荻和水蓼)长期监测样地的数据进行加工处理，获得 2011-2015 年洞庭湖洲滩植物群落长期监测数据集。本数据集包含有植物种名、拉丁名、株(丛)数(株或丛/样方)、叶层平均高度(cm)、生殖枝平均高度(cm)、盖度(%)、物候期、优势种、植物种数、密度(株或丛/m2)、优势种叶层高度(cm)、优势种生殖枝高度(cm)、总盖度(%)、地上绿色部分总干重(g/m2)，共 14 个指标，同时附有完整的背景信息。本数据集实行全过程数据质量控制，并由专家审核验证，确保数据时空上的相对一致和准确可靠。本数据集可以为探究洞庭湖水文情势下，洲滩湿地生态系统过程和演替趋势提供本底资料，为洞庭湖植被的遥感监测、生物多样性保护和湿地生态修复及适应性管理等提供数据支撑。
A dataset of sample survey of typical plant communities on East Dongting Lake beach(2011-2015)
The fixed sample plot investigation obtains the dynamic characteristics of ecosystem through long-term data accumulation and accurate space-time comparison,which provides a solid basis for long-term ecosystem research.In accordance with the unified monitoring specifications set forth by the Chinese Ecosystem Research Network(CERN),Dongting Lake Wetland Ecosystem Research Station conducts long-term positioning monitoring on the species composition and community characteristics of typical beach vegetation in the wetland ecosystem in response to the changing hydrological conditions of Dongting Lake.We processed the data of long-term monitoring sample plots of three typical wetland plant communities(Carex sp,Miscanthus lutarioriparius and Polygonum hydropiper)in Dongting Lake to obtain the dataset of sample survey of typical plant communities on East Dongting Lake beach from 2011 to 2015.This dataset covers a total of 14 indicators,including species name,Latin name,number of plants(clusters)(plants or clusters/quadrats),average height of leaf layer(cm),average height of reproductive branches(cm),coverage(%),phenological period,dominant species,number of plant species,density(plants or clusters/m2),leaf layer height(cm)of dominant species,reproductive branch height(cm)of dominant species,total coverage(%),and total dry weight of aboveground green parts(g/m2).This dataset comes with detailed background information to ensure its consistency across both spatial and temporal dimensions.Moreover,to ensure data accuracy and reliability,the dataset underwent comprehensive quality control throughout the entire process and is subject to expert review and verification.It can serve as an important source of background data for studying the process and succession trends of the beach wetland ecosystem in response to the hydrological conditions of Dongting Lake,and provide data support for vegetation remote sensing monitoring,biodiversity protection,wetland ecological restoration and adaptive management of Dongting Lake.
beach vegetationcommunity species compositionDongting Lakelong-term locating and monitoring
国家科技期刊平台
NSTL
万方数据
