CPSDv0:中国人工林林分结构数据库

IF 4.2 3区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Big Earth Data Pub Date : 2022-01-20 DOI:10.1080/20964471.2021.2012911
Xiuchen Wu, Xiaofei Jiang, Hongyan Liu, C. Allen, Xiaoyan Li, Pei Wang, Zong-Yan Li, Yuting Yang, Shulei Zhang, F. Shi, Jiaojun Zhu, P. Yu, Mei Zhou, P. Zhao, Yanhui Wang, Chao Yue, Deliang Chen
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引用次数: 5

摘要

林分结构不仅是调节森林功能的重要因素,也是森林可持续经营和生态系统服务的重要指标。虽然目前已有一些天然林的国家/全球结构数据库,但作为世界人工林最大的国家,中国尚未建立人工林的全国性综合结构数据库。在这项研究中,我们通过调查600多篇同行评审的文献,建立了一个全国范围内的合成林分结构数据库。该数据库包括树种、平均林龄、平均树高、林分密度、冠层盖度、胸径以及相关的辅助原位地形和土壤特性。共收录了46个树种林分结构参数的已发表研究594篇。这一首次对中国人工林林分结构的综合研究为研究人工林在快速气候变化和干扰加剧下的进化/健康状况提供了支持,并有利于全国范围内的可持续森林管理和未来的造林或再造林规划。潜在用户包括研究森林群落动态、区域树木生长、生态系统稳定性和健康的人员,以及从事养护和可持续管理工作的人员。该数据集可在http://www.doi.org/10.11922/sciencedb.j00076.00091免费访问。
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CPSDv0: a forest stand structure database for plantation forests in China
ABSTRACT 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. This dataset is freely accessible at http://www.doi.org/10.11922/sciencedb.j00076.00091.
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来源期刊
Big Earth Data
Big Earth Data Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
7.40
自引率
10.00%
发文量
60
审稿时长
10 weeks
期刊最新文献
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