文献类型：期刊文献

中文题名：2016-2021年南亚热带近自然化改造马尾松人工林土壤水热动态数据集

英文题名：A dataset of soil water and heat dynamics from Pinus massoniana plantations under close-to-nature management in South Subtropics(2016–2021)

作者：刘士玲[1,2] 郑路[1,2] 杨保国[1] 杨坤[1,2] 闵惠琳[1,2] 陈琳[1,2] 张培[1] 庞圣江[1] 舒韦维[1,2] 李华[1,2]

第一作者：刘士玲

机构：[1]中国林业科学研究院热带林业实验中心,广西凭祥532600;[2]广西友谊关森林生态系统国家定位观测研究站,崇左凭祥友谊关森林生态系统广西野外科学观测研究站,广西凭祥532600

年份：2023

卷号：8

期号：3

起止页码：472-481

中文期刊名：中国科学数据:中英文网络版

外文期刊名：China Scientific Data

收录：CSTPCD;;CSCD:【CSCD2023_2024】；

基金：南亚热带人工林林内小气候观测(桂科202227);南亚热带人工林生态水文过程及机制观测研究(桂科AD20159094);崇左凭祥友谊关森林生态系统广西野外科学观测研究站科研能力建设项目(桂科22-035-130-03)。

语种：中文

中文关键词：南亚热带;马尾松;近自然化改造;土壤水热

外文关键词：South Subtropics;Pinus massoniana;close-to-nature management;soil water and heat

分类号：S71

摘要：本研究依托崇左凭祥友谊关森林生态系统广西野外科学观测研究站,在中国林业科学研究院热带林业实验中心林区,利用南亚热带近自然化改造马尾松(Pinus massoniana)人工林内的自动气象观测站,开展土壤水热动态监测和研究,样地布设、指标监测和数据质量控制均按照规范进行。本数据集对2016–2021年近自然化改造马尾松人工林的土壤温度、土壤体积含水量、土壤热通量、空气温度和空气相对湿度等观测数据,经过异常值剔除、数据插补等标准数据处理,统计得到马尾松人工林日尺度的土壤水热动态数据,并对数据集的构建进行了说明。建立和共享本数据集对于理解近自然化改造马尾松人工林的土壤水热特征有重要价值,同时可为深入研究针阔叶混交林对全球气候变化的响应提供基础数据,也为南亚热带森林资源的可持续经营和管理提供数据基础支撑。
This study was conducted at the Tropical Forestry Experimental Center of the Chinese Academy of Forestry in Youyiguan Pingxiang Chongzuo Forest Ecosystem Observation and Research Station of Guangxi.Based on the automatic meteorological observation station,we monitored and analyzed the soil hydrothermal dynamics in Pinus massoniana plantations under close-to-nature management.The sample plots layout,index monitoring,and data quality control were carried out in accordance with relevant specifications.This dataset contains the data of soil temperature,soil volume water content,soil heat flux,as well as air temperature and air humidity in Pinus massoniana plantations of close-to-nature management in South Subtropics from 2016 to 2021.After standard data processing,including outlier elimination and data interpolation,we statistically derived the daily data of soil water and heat dynamics of Pinus massoniana,and explained the construction of the dataset.The establishment and sharing of this dataset are valuable for facilitating a comprehensive understanding of the characteristics of soil water and heat in Pinus massoniana plantations under close-to-nature management in South Subtropics.Furthermore,the dataset can serve as an important resource for in-depth research on the response of mixed coniferous broad-leaved forest to global climate change.It can provide essential to support the sustainable management and conservation of forest resources in South Subtropics.