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作 者:刘佩伶 张倩媚[1] 刘效东[1,2] 刘世忠 褚国伟[1] 张德强[1] 刘菊秀[1] 孟泽[1] LIU Peiling;ZHANG Qianmei;LIU Xiaodong;LIU Shizhong;CHU Guowei;ZHANG Deqiang;LIU Juxiu;MENG Ze(South China Botanical Garden,Chinese Academy of Sciences,Guangzhou 510650,P.R.China;College of Forestry and Landscape Architecture,South China Agricultural University,Guangzhou 510642,P.R.China)
机构地区:[1]中国科学院华南植物园,广州510650 [2]华南农业大学林学与风景园林学院,广州510642
出 处:《中国科学数据(中英文网络版)》2021年第1期131-138,共8页China Scientific Data
基 金:中国生态系统研究网络(CERN)鼎湖山森林生态系统定位研究站运行费;科技部国家生态系统观测研究网络(CRERN)广东鼎湖山森林生态系统国家野外科学观测研究站运行服务费;中国科学院档案馆专项课题(Y821341001);广东省林业科技创新平台项目(2020-KYXM-09)。
摘 要:枯落物含水量是森林生态系统水文循环中的重要分量之一,对森林生态系统地表界面的土壤蒸发、水分下渗、产流等水文过程起关键作用。枯落物类型、组成及分解程度等是影响其含水量的重要方面。中国生态系统研究网络(Chinese Ecosystem Research Network,CERN)将枯落物含水量列为森林生态系统试验站长期定位观测的水文要素之一,为我国主要类型生态系统水文过程的时间动态研究提供坚实基础。鼎湖山森林生态系统定位研究站(简称“鼎湖山站”)严格遵循CERN的观测要求,规范化枯落物含水量的监测并积累了大量数据。站内的马尾松针叶林(Pinus massoniana coniferous forest,PF)、马尾松针阔叶混交林(mixed Pinus massoniana/broad-leaved forest,MF)和季风常绿阔叶林(monsoon evergreen broad-leaved forest,MEBF)分别代表中国南亚热带地区的典型森林类型。本数据集公开报道2012–2018年鼎湖山3种典型森林类型枯落物含水量的长期观测数据,旨在深入揭示区域典型森林植被的生态水文效应,为不同森林生态系统水文调节的定量研究和服务评价提供数据支撑。Water content of litter is one of the important components in the hydrological cycle of forest ecosystem and plays a key role in the hydrological processes such as soil evaporation,water infiltration and runoff generation at the interface of surface soil.The type,composition,the decomposition degree etc.are important factors affecting the water content of litter.Water content of litter has been listed as one of the hydrologic factors in the long-term positioning observation of forest ecosystem experimental stations by the Chinese Ecosystem Research Network(CERN),it can provide a solid foundation for the study on the temporal dynamics of hydrological processes in major types of ecosystems in China.Dinghushan Forest Ecosystem Research Station(hereafter referred to as Dinghushan Station)strictly follows the observation requirements of CERN,standardizing the monitoring of water content of litter and accumulating a large number of data.The Pinus massoniana coniferous forest(PF),mixed Pinus massoniana/broad-leaved forest(MF),and monsoon evergreen broad-leaved forest(MEBF)are typical forest types in south subtropical regions in China.This dataset publicly reports long-term observation data of litter water content of three typical forest types in Dinghushan from 2012 to 2018,aiming to deeply reveal the ecological and hydrological effects of typical forest vegetation in this region,and provide data support for quantitative research and service evaluation of hydrological regulation of different forest ecosystems.
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