Forest monitoring data of 45 plots across the Japanese archipelago during 1980-2021

ECOLOGICAL RESEARCH(2024)

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摘要
Long-term monitoring of forest tree communities is a basis for elucidating forest structure and dynamics and for evaluating ecosystem functions such as primary production. Because global climate change is changing forest ecosystems from the local to the global scale, it is essential to document long-term monitoring data of forests to examine the temporal and geographical trends of forest changes. We report monitoring data of 45 forest plots (average area 0.69 ha; range 0.0325-6.25 ha) at 27 sites in Japan. These plots are situated within 32.38 degrees N to 43.36 degrees N and at elevations ranging from 8 to 2453 m above sea level. The forest plots include both old-growth and secondary forests, and cover various forest biomes, such as warm-temperate evergreen forests, temperate deciduous broadleaved forests, and boreal or sub-alpine coniferous forests. In each plot, all living trees and lianas larger than a certain minimum size (typically 15 cm stem girth at breast height) were repeatedly measured and survival and recruitment of stems were recorded over 5-40 years (average 17.3 years). The data are presented in the format used by the Monitoring Sites 1000 Project in Japan (Ishihara et al. 2011, Ecological Research, 26, 1007-1008) and in the sample-based Darwin Core format. This dataset expands existing open monitoring data for Japanese forests and thereby facilitates further meta-analysis of forest community structures and changes in relation to climate change and other drivers. The complete data set for this abstract is available in electronic format in MetaCat in JaLTER at . We report monitoring data of 45 forest plots at 27 sites in Japan. This long-term monitoring dataset expands existing open monitoring data for Japanese forests and thereby facilitates further meta-analysis of forest community structures and changes in relation to climate change and other drivers. image
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关键词
forest dynamics,long-term monitoring,plot network,timeline data,tree demography
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