2026-10-12T21:32:42Z https://www.scidb.cn/oai

10.57760/sciencedb.cjaeb.00028 2026-07-25T21:47:49Z

2026-07-25 Dataset of soil water content in the forest ecosystems of Dinghushan, Guangdong, southern China (2002~2023) doi:10.57760/sciencedb.cjaeb.00028 en Dinghushan, located in the southern subtropical region of China, hosts forest ecosystems that serve as a representative system for studying regional vegetation succession and ecological processes. To reveal the long-term dynamics of soil water content in typical southern subtropical forests, the Guangdong Dinghushan Forest Ecosystem National Observation and Research Station has, in accordance with the unified protocol of the Chinese Ecosystem Research Network (CERN), conducted long-term in situ observations in three forest types representing successive stages of natural succession: Masson pine forest (Pinus massoniana), mixed coniferous and broad-leaved forest, and monsoon evergreen broad-leaved forest. This dataset compiles long-term soil water content monitoring records from these forests during 2002—2023, totaling 119,999 records, together with complete background information on the sampling plots. Soil water content was measured by both the oven-drying method and time domain reflectometry (TDR), covering the complete successional sequence from plantation to climax community. After rigorous quality control and systematic compilation, the dataset features a long temporal span, high continuity, and high reliability. It is expected to support studies on soil water content dynamics and water-cycling mechanisms during forest succession in the southern subtropics, as well as on the hydrological adaptation of forest ecosystems to long-term climate change. Soil water content; Forest ecosystem; Long-term monitoring; Dinghushan; South subtropical zone yu meng xiao Chu Guowei Zhang Deqiang Meng Ze Liu Juxiu PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank