S
Sun Yujun
Researcher at Beijing Forestry University
Publications - 23
Citations - 435
Sun Yujun is an academic researcher from Beijing Forestry University. The author has contributed to research in topics: Tree (data structure) & Ecotourism. The author has an hindex of 8, co-authored 22 publications receiving 256 citations.
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Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques-A case study of a hilly area, Jiangle, China.
TL;DR: This study predicts the spatial patterns of land use in 2025 and 2036 based on the dynamic changes in land use patterns using remote sensing and geographic information system and can provide suggestions and a basis for urban development planning in Jiangle County.
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Linear Mixed-Effects Models to Describe Individual Tree Crown Width for China-Fir in Fujian Province, Southeast China
TL;DR: One level linear mixed-effects models based on the multiple linear model for individual tree crown width of Cunninghamia lanceolata (Lamb.) Hook are developed, which take into account the random effects of plots.
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Forest edge effect on biomass carbon along altitudinal gradients in Chinese Fir (Cunninghamia lanceolata): a study from Southeastern China.
Sajjad Saeed,Sun Yujun,Mukete Beckline,Liping Chen,Bo Zhang,Adnan Ahmad,Abdul Mannan,Alamgir Khan,Arshad Iqbal +8 more
TL;DR: In this article, the authors show that forest edges hold less carbon than the forest interior, and that forest edge forests are less carbon-rich than forest interior forests. But, they do not consider the effect of forest topology on forest carbon.
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Assessing the drivers of land use change in the Rumpi hills forest protected area, Cameroon
TL;DR: In this article, the recent expansion of human activities around Cameroon's Rumpi Hills Forest Reserve in this region has been investigated, and the authors highlight the importance of biodiversity conservation and the securing of ecosystem services.
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A mixed-effects model with different strategies for modeling volume in cunninghamia lanceolata plantations
TL;DR: This study suggests that because calibration may sometimes be a realistic option, though it is rarely used in practical applications, one of the best strategies for improving the accuracy of volume prediction is the strategy with 7 calculated total heights of 3, 6 and 9 trees in the largest, smallest and medium-size categories.