scholarly journals Multivariate relationship between tree diversity and aboveground biomass across tree strata in a subtropical evergreen broad-leaved forest

2017 ◽  
Vol 62 (17) ◽  
pp. 1861-1868 ◽  
Author(s):  
JiangShan LAI ◽  
DunMei LIN ◽  
Mei PANG ◽  
KePing MA ◽  
HaiBao REN ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Tree Diversity ◽  
Broad Leaved Forest ◽  
Leaved Forest ◽  
Multivariate Relationship

scholarly journals Topographic Variation in Aboveground Biomass in a Subtropical Evergreen Broad-Leaved Forest in China

PLoS ONE ◽  
2012 ◽  
Vol 7 (10) ◽  
pp. e48244 ◽  
Author(s):  
Dunmei Lin ◽  
Jiangshan Lai ◽  
Helene C. Muller-Landau ◽  
Xiangcheng Mi ◽  
Keping Ma
Keyword(s):  
Aboveground Biomass ◽  
Broad Leaved Forest ◽  
Topographic Variation ◽  
Leaved Forest

scholarly journals Relationships between tree diversity and biomass/productivity and their influence factors in a lower subtropical evergreen broad-leaved forest

2021 ◽  
Vol 29 (11) ◽  
pp. 1435-1446
Author(s):  
Jie Zhu ◽  
Anchi Wu ◽  
Shun Zou ◽  
Xin Xiong ◽  
Shizhong Liu ◽  
...  
Keyword(s):  
Influence Factors ◽  
Biomass Productivity ◽  
Tree Diversity ◽  
Broad Leaved Forest ◽  
Leaved Forest

scholarly journals Aboveground Biomass Allometric Models for Evergreen Broad-Leaved Forest Damaged by a Serious Ice Storm in Southern China

Forests ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 320
Author(s):  
Houben Zhao ◽  
Zhaojia Li ◽  
Guangyi Zhou ◽  
Zhijun Qiu ◽  
Zhongmin Wu
Keyword(s):  
Aboveground Biomass ◽  
Southern China ◽  
Management Strategies ◽  
Forest Damage ◽  
Diameter Distribution ◽  
Ice Storm ◽  
Allometric Models ◽  
Broad Leaved Forest ◽  
Biomass Loss ◽  
Leaved Forest

A catastrophic ice storm occurred in the spring of 2008, which severely destroyed nearly 13% of China’s forests; among them, the broad-leaved forest suffered the most extensive damage. In this study, allometric models of the evergreen broad-leaved forests damaged at different recovery stages after the disaster were established to estimate the aboveground biomass of damaged trees. Plant plots were established and surveyed in damaged forests to determine species composition and diameter distribution, and finally a sample scheme was formulated that contained 47 trees from 13 species. The destructive measurements of aboveground biomass of trees selected according to the scheme were conducted in 2008, 2010, 2012 and 2016, respectively. Undamaged trees in the same region were also selected to measure the biomass in 2010. Linear regression of logarithmic transformation of the power function form was performed using Diameter at Breast Height (DBH) as predictor to develop biomass allometric models. The results showed that the ice storm caused tree aboveground biomass loss, which caused different parameters of the tree biomass models at different recovery stages. The models have a high accuracy in predicting trunk and total aboveground biomass, with high determination coefficients (R2, 0.913~0.984, mean 0.957), and have a relatively low accuracy in predicting the biomass of branches and leaves (R2, 0.703~0.892, mean 0.784). The aboveground biomass reduced by 35.0% on average due to the ice storm, and recovered to the same level of undamaged trees in the same diameter 8 years after the disturbance. The branches and leaves recovered very fast, and the biomass of these parts exceeded that of the undamaged trees, reaching the same diameter 2 years after the disaster, indicating an over compensatory growth. The trees with a smaller diameter were mostly composed of middle and late succession species, and recovered faster than other species, indicating that the ice storm may alter the forest structure and accelerate community succession. The biomass allometric models built in this study, combined with forest inventory data, can estimate forest biomass loss and recovery after disturbance, and offer an important sense of the assessment of forest damage and the formulation of forest post-disaster management strategies.

Classification of vegetation in Cucphuong National Park with the aim of large-scale mapping, Vietnam

1996 ◽  
pp. 64-67 ◽  
Author(s):  
Nguen Nghia Thin ◽  
Nguen Ba Thu ◽  
Tran Van Thuy
Keyword(s):  
National Park ◽  
Large Scale ◽  
Satellite Images ◽  
Field Work ◽  
Aerial Photographs ◽  
Vegetation Map ◽  
Dense Forest ◽  
Broad Leaved Forest ◽  
Leaved Forest

The tropical seasonal rainy evergreen broad-leaved forest vegetation of the Cucphoung National Park has been classified and the distribution of plant communities has been shown on the map using the relations of vegetation to geology, geomorphology and pedology. The method of vegetation mapping includes: 1) the identifying of vegetation types in the remote-sensed materials (aerial photographs and satellite images); 2) field work to compile the interpretation keys and to characterize all the communities of a study area; 3) compilation of the final vegetation map using the combined information. In the classification presented a number of different level vegetation units have been identified: formation classes (3), formation sub-classes (3), formation groups (3), formations (4), subformations (10) and communities (19). Communities have been taken as mapping units. So in the vegetation map of the National Park 19 vegetation categories has been shown altogether, among them 13 are natural primary communities, and 6 are the secondary, anthropogenic ones. The secondary succession goes through 3 main stages: grassland herbaceous xerophytic vegetation, xerophytic scrub, dense forest.

Ice and Snow Disasters to the Evergreen Broad-leaved Forest in the Jiulianshan Nature Reserve in Jiangxi, China*

2012 ◽  
Vol 17 (2) ◽  
pp. 180-185 ◽  
Author(s):  
Jun HE ◽  
Xiuhai ZHAO ◽  
Chunyu ZHANG ◽  
Yuzhen JIA ◽  
Juan FAN ◽  
...  
Keyword(s):  
Nature Reserve ◽  
Broad Leaved Forest ◽  
Leaved Forest
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