2009-2017年西双版纳热带季节雨林土壤水分含量数据集  

A dataset of soil moisture in Xishuangbanna tropical seasonal rain forests(2009–2017)

作　　者：罗艳[1,2,3] 李玉武[1,2,3] 秦海浪 邓晓保[1,2,3] 陈辉 沙丽清 曹敏[1,2,3] 林露湘 LUO yan;LI yuwu;QIN hailang;DENG Xiaobao;CHEN Hui;SHALiqing;CAO Min;LIN Luxiang(Key Laboratory of Tropical Forest Ecology,Xishuangbanna Tropical Botanical Garden,Chinese Academy of Sciences,Mengla 666303,P.R.China;Xishuangbanna Station for Tropical Rainforest Ecosystem Studies,Chinese Academy of Sciences,Mengla 666303,P.R.China;National Forest Ecosystem Research Station at Xishuangbanna,Mengla 666303,P.R.China)

机构地区：[1]中国科学院西双版纳热带植物园,中国科学院热带森林生态学重点实验室,云南勐腊666303 [2]中国科学院西双版纳热带雨林生态系统研究站,云南勐腊666303 [3]云南西双版纳森林生态系统国家野外科学观测研究站,云南勐腊666303

出　　处：《中国科学数据（中英文网络版）》2023年第3期278-289,共12页China Scientific Data

基　　金：中国生态系统研究网络(CERN)西双版纳热带雨林生态系统研究站运行服务费;国家生态系统观测研究网络(CNERN)云南西双版纳森林生态系统国家野外科学观测研究站运行服务费。

摘　　要：土壤水分作为物质循环和能量流动的载体,在陆地森林生态系统中发挥着重要作用,对其进行观测有助于揭示森林生态系统水文特征、水源涵养能力和生态系统服务功能等。热带雨林为生物多样性最丰富的生态系统之一,西双版纳分布有大片热带雨林,热带季节雨林则为西双版纳最具代表性的雨林植被类型。进行连续、长期、高质量的生态监测为中国生态系统研究网络(CERN)的主要任务之一,土壤水分含量是CERN陆地生态系统水环境长期定位观测的重要指标。本数据收集了中国科学院西双版纳热带雨林生态系统研究站西双版纳热带季节雨林综合观测场2009年1月至2017年12月的土壤剖面水分含量观测数据,总数据量2879条;测定方法为时域反射法(Time Domain Reflectometry,TDR)定点连续观测;观测深度为0–10 cm、10–20cm、20–30 cm、30–40 cm、40–50 cm,50–70 cm,70–90 cm,90–110 cm;观测频度为每月3次,每月上、中、下旬各观测1次;观测数据质量保证与质量控制严格按照CERN统一规范进行。本数据集提供共享下载,以期为全球气候变化和不同植被环境背景下的热带森林水文研究提供基础数据支撑。As the carrier of material circulation and energy flow,soil moisture plays an important role in terrestrial forest ecosystems.Observing soil moisture is beneficial for unveiling the hydrological characteristics,water conservation capacity and ecosystem service function of forest ecosystems.The tropical rain forest is among the most biodiverse ecosystems.There are large areas of tropical rain forests in Xishuangbanna,where the tropical seasonal rain forest represents a prominent vegetation type.Conducting continuous,long-term and high-quality ecological monitoring is one of the main tasks of China Ecosystem Research Network(CERN).Soil moisture content is an important indicator in the long-term site-specific water environment observations within the terrestrial ecosystems monitored by CERN.This dataset comprises soil moisture content data collected from January 2009 to December 2017 at the Xishuangbanna Station for Tropical Rainforest Ecosystem Studies of the Chinese Academy Sciences(also known as National Forest Ecosystem Research Station at Xishuangbanna,BNF for short),with a total of 2,879 entries.The determination method used for this dataset is fixed-point continuous observation using Time Domain Reflectometry(TDR)instruments;observations were conducted at multiple,ranging from 0–10 cm,10–20 cm,20–30 cm,30–40 cm,40–50 cm,50–70 cm,70–90 cm and 90–110 cm.The observation frequency consists of 3 times per month,respectively at the beginning,middle and end of each month.The observations were conducted strictly according to the CERN observation and quality control protocols.The dataset is readily available for online sharing and serves as essential foundational data for conducting research on tropical forest hydrology under the global climate change and different vegetation environments.

关 键 词：热带季节雨林 土壤含水量 时域反射法 版纳站 

分 类 号：S714[农业科学—林学]