详细信息
Evaluating Forest Site Quality Using the Biomass Potential Productivity Approach ( SCI-EXPANDED收录 EI收录) 被引量:3
文献类型:期刊文献
英文题名:Evaluating Forest Site Quality Using the Biomass Potential Productivity Approach
作者:Yan, Xingrong[1,2] Feng, Linyan[2] Sharma, Ram P.[3] Duan, Guangshuang[2,4] Pang, Lifeng[2] Fu, Liyong[2] Guo, Jinping[1]
第一作者:Yan, Xingrong
通信作者:Guo, JP[1]
机构:[1]Shanxi Agr Univ, Coll Forestry, Jinzhong 030800, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[3]Tribhuwan Univ, Inst Forestry, Kathmandu 46000, Nepal;[4]Xinyang Normal Univ, Coll Math & Stat, Xinyang 464000, Peoples R China
年份:2024
卷号:15
期号:1
外文期刊名:FORESTS
收录:;EI(收录号:20240515458308);Scopus(收录号:2-s2.0-85183322480);WOS:【SCI-EXPANDED(收录号:WOS:001148964700001)】;
基金:We also appreciate the valuable comments and constructive suggestions from three anonymous referees and the Associate Editor that helped improve the manuscript.
语种:英文
外文关键词:multi-aged mixed forest; site productivity evaluation; potentially improved stand biomass; site productivity modeling
摘要:Biomass productivity is of great significance for the evaluation of forest quality, which is important for the improvement of forest management. We propose the computational methods of biomass potential productivity (BPP) and biomass realistic productivity (BRP), both of which provide reliable practical guides for predicting forest growth under multi-aged, multi-species, and multi-layered canopy conditions. We used 2222 national forest inventory plots that were measured in four consecutive periods in the Jilin Province for this purpose. We analyzed and verified the computational methods of BPP based on the BRP and evaluated its practical significance. The results showed that growth models of the stand height, stand basal area, and stand biomass of four forest types (pure larch forest, larch broadleaf mixed forest, Mongolian oak pure forest, and Mongolian oak broadleaf mixed forest) fit adequately, BPP was greater than BRP, and this difference decreased with an increasing stand age, suggesting that the potential productivity of the middle-aged and young forest was higher than that of the mature forest, although the difference is minimal. In addition, the realistic productivity of stands with better site quality was close to the potential productivity, which is consistent with the biological significance of the potential productivity of the biomass. The degree of difference between the potential productivity of the biomass and the realistic productivity of biomass also decreases with the decline in site quality, and it can be termed as the potentially improved stand biomass. The BPP model was able to perform well in both the pure and mixed forests. The BRP not only verifies the rationality of the BPP but can be also used to quantify the forest site quality, which is helpful for evaluating forest growth and informed decision making in forestry.
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