Temporal and spatial patterns of aboveground biomass and its driving forces in a subtropical forest: a case study

被引:6
作者
Ma, Lei [1 ,2 ]
Li, Wen [1 ,2 ]
Shi, Nannan [1 ,2 ]
Fu, Shenglei [1 ,2 ]
Lian, Juyu [3 ]
Ye, Wanhui [3 ]
机构
[1] Henan Univ, Minist Educ, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng, Henan, Peoples R China
[2] Henan Univ, Coll Environm & Planning, Jingming Rd 1, Kaifeng 475004, Peoples R China
[3] Chinese Acad Sci, Key Lab Vegetat Restorat & Management Degraded Ec, South China Bot Garden, Xingke Rd 723, Guangzhou 510650, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
aboveground biomass; biotic factors; abiotic factors; temporal-spatial pattern; tree species; ECOSYSTEM CARBON STORAGE; SPECIES RICHNESS; ALTITUDINAL GRADIENT; TREE PRODUCTIVITY; STAND AGE; DETERMINANTS; BIODIVERSITY; DISTURBANCE; TEMPERATE; DIVERSITY;
D O I
10.3161/15052249PJE2019.67.2.001
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The accurate characterization of aboveground biomass (AGB) dynamics and their driving forces in sub-tropical forests is important to evaluate AGB's contribution to global carbon stocks. In order to estimate the effects of local variables on temporal and spatial patterns of AGB we investigated the variation of AGB in a 20-ha sub-tropical permanent plot. We found that the AGB was 153.7 Mg ha(-1) in 2005, and 149.3 Mg ha(-1) in 2010. During the five-year period, AGB changed due to tree mortality, growth (diameter at breast height, DBH) and recruitment. Medium-sized trees (DBH: 30-50 cm) were the largest contributor to total AGB. Both the tree species diversity index and the number of individuals within medium (DBH: 30-50 cm) and large (DBH: >50 cm) DBH ranges had significant positive effects on AGB. In addition, the abiotic factors such as elevation, slope, and convexity had negative significant relationships with AGB. The results indicate the importance of including forest community characteristics and environmental variables in forest carbon studies. This study also provides important data that can be used to develop and validate carbon cycling models for old-growth sub-tropical forests.
引用
收藏
页码:95 / 104
页数:10
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