Abstract
Plant species composition is a vital indicator for studying the structure and functioning of forest ecosystems. It constitutes an important component of the China Ecosystem Research Network (CERN) and the long-term monitoring of terrestrial ecosystem biological elements. It can be utilized to assess and monitor biodiversity levels, environmental changes, and ecosystem responses. It holds utmost significance for natural resource management and land-use planning, providing crucial foundations for scientific research, policy-making, and ecological conservation. Nanling, as a significant ecological barrier in China, harbors the largest area of forests at the same latitude. It encompasses various vegetation types, including subtropical evergreen broad-leaved forests, subtropical mixed coniferous and broad-leaved forests, and subtropical dwarf evergreen broad-leaved forests. Following the monitoring specifications for terrestrial ecosystem biological elements, this paper presents the original data of all woody plant individuals with a diameter at breast height (DBH) ≥ 1 cm, including their species names, DBH, height, and other relevant information. These data were obtained through two consecutive census surveys conducted by the Guangdong Nanling Forest Ecosystem National Field Scientific Observation Research Station from 2017 to 2020. After meticulous data organization, quality control, and evaluation, the dataset provides detailed information on typical forest communities in Nanling, including plot numbers, vegetation types, species names, Latin names, abundance, relative abundance, relative dominance, relative frequency, importance value, and year of survey. This dataset serves as local data for in-depth investigation into biodiversity, community structure, and functions of forest communities in Nanling. Moreover, it aims to provide fundamental support for forest management, environmental protection, natural resource management, and sustainable development in the region.
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