4.0 Article Data Paper

CPSDv0: a forest stand structure database for plantation forests in China

期刊

BIG EARTH DATA
卷 7, 期 1, 页码 222-240

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/20964471.2021.2012911

关键词

Stand structure; plantation; tree age; tree height; stand density; canopy coverage

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In this study, we established a country-wide synthetic stand structure database for plantation forests in China, the world's largest player in plantation forests. The database includes various parameters such as tree species, stand age, tree height, stand density, canopy coverage, diameter at breast height, as well as ancillary topographical and soil properties. This database supports research on the evolution and health of plantation forests in response to climate change and disturbances, and benefits sustainable forest management and future afforestation planning at a national level.
Forest stand structure is not only a crucial factor for regulating forest functioning but also an important indicator for sustainable forest management and ecosystem services. Although there exists a few national/global structure databases for natural forests, a country-wide synthetic structure database for plantation forests over China, the world's largest player in plantation forests, has not been achieved. In this study, we built a country-wide synthetic stand structure database by surveying more than 600 peer-reviewed literature. The database covers tree species, mean stand age, mean tree height, stand density, canopy coverage, diameter at breast height, as well as the associated ancillary in-situ topographical and soil properties. A total of 594 published studies concerning diverse forest stand structure parameters were compiled for 46 tree species. This first synthesis for stand structure of plantation forests over China supports studies on the evolution/ health of plantation forests in response to rapid climate change and intensified disturbances, and benefits country-wide sustainable forest management, future afforestation or reforestation planning. Potential users include those studying forest community dynamics, regional tree growth, ecosystem stability, and health, as well as those working with conservation and sustainable management.

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