鄱阳湖不同高程梯度下湿地植物和土壤碳氮磷及微量元素数据集  

A dataset of wetland plants and soil carbon,nitrogen,phosphorus,and trace elements under across different elevation gradients in Poyang Lake

作　　者：张全军 夏少霞 刘宇[2,3] 段后浪 张广帅 于秀波 吴东丽[1] ZHANG Quanjun;XIA Shaoxia;LIU Yu;DUAN Houlang;ZHANG Guangshuai;YU Xiubo;WU Dongli(China Meteorological Administration Meteorological Observation Centre,Beijing 100081,P.R.China;Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences(CAS),Beijing 100101,P.R.China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100190,P.R.China;National marine environmental monitoring center,Dalian 116023,P.R.China;National Key Laboratory of Environmental Remediation and Restoration of Marine Ecological Environment,Dalian 116023,P.R.China)

机构地区：[1]中国气象局气象探测中心,北京100081 [2]中国科学院地理科学与资源研究所,生态系统网络观测与模拟重点实验室,北京100101 [3]中国科学院大学,资源与环境学院,北京100190 [4]国家海洋环境监测中心,大连116023 [5]国家环境保护海洋生态环境整治修复重点实验室,大连116023

出　　处：《中国科学数据(中英文网络版)》2025年第1期248-258,共11页China Scientific Data

基　　金：国家自然科学基金(41971133、41471088)。

摘　　要：湿地水文过程对湿地碳储量有重要的影响。然而,其通过调控土壤养分含量和植物多样性来影响生物量和碳储量的过程机理仍不够清楚。本研究于2018年6月4日–2019年4月10日,在国际重要湿地鄱阳湖湿地洲滩上不同高程梯度下监测逐日水位,植物多样性及优势度、植物地上和地下生物量,监测土壤总碳(TC),总氮(TN),总磷(TP),钾(K),钠(Na),钙(Ca),镁(Mg),铁(Fe),锰(Mn),锌(Zn)含量,形成数据集。数据集由1个Excel文件5个sheet构成,分别为7个梯度21个样方的植物名录、植物个体数量、植物生物量、土壤元素含量和逐日水位。数据集质量主要从植物调查方案精密设计、植物和土壤样品精细采集、实验室处理及数据录入、第三人校对等方面进行控制与评估。本数据集能为揭示水文-土壤养分-植物生物量-土壤碳,以及植物优势度-植物生物量-土壤碳之间的过程机制提供数据支撑,深刻地揭示了湿地水文过程通过调控营养元素的富集影响植被生长和固碳过程的机制,为理解碳水耦合作用提供了新的认知基础。Wetland hydrological processes have a significant impact on wetland carbon storage.However,the mechanisms by which they affect biomass and carbon storage by regulating soil nutrient content and plant diversity remain underexplored.From June 4th,2018 to April 10th,2019,we conducted daily monitoring of daily water levels,plant diversity and dominance,aboveground and underground plant biomass,as well as soil content of 10 elements(carbon,nitrogen,phosphorus,potassium,sodium,calcium,magnesium,iron,manganese,and zinc)under different elevation gradients in the internationally significant Poyang Lake Wetland,resulting in the formation of a comprehensive dataset.The dataset consists of one Excel file with five sheets,covering plant directory,individual plant numbers,plant biomass,soil element content,and daily water levels for 21 sample plots across seven elevation gradients.The quality of dataset is mainly controlled and evaluated from the aspects of precise design of the plant survey scheme,fine collection of plant and soil samples,laboratory processing and data entry,and third-party calibration.This dataset can provide data support for revealing the process mechanisms among hydrology,soil nutrients,plant biomass,and soil carbon,as well as those between plant dominance,plant biomass soil carbon.It offers an in-depth understanding of how wetland hydrological processes influence vegetation growth and carbon sequestration by regulating nutrient enrichment,thereby laying a new foundation for understanding carbon-water coupling mechanisms.

关 键 词：鄱阳湖 湿地植物 湿地土壤 碳 氮 磷 微量元素 水文条件 

分 类 号：X144[环境科学与工程—环境科学] TP311.13[自动化与计算机技术—计算机软件与理论]