scholarly journals Precessional forcing of tropical vegetation carbon storage

2011 ◽  
Vol 26 (5) ◽  
pp. 463-467 ◽  
Author(s):  
William D. Gosling ◽  
Philip B. Holden
Keyword(s):  
Carbon Storage ◽  
Tropical Vegetation ◽  
Vegetation Carbon ◽  
Vegetation Carbon Storage

Vegetation carbon storage in the main forest types in Guangxi and the related influencing factors

2019 ◽  
Vol 39 (6) ◽  
Author(s):  
兰秀 LAN Xiu ◽  
杜虎 DU Hu ◽  
宋同清 SONG Tongqing ◽  
曾馥平 ZENG Fuping ◽  
彭晚霞 PENG Wanxia ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Carbon Storage ◽  
Forest Types ◽  
Vegetation Carbon ◽  
Vegetation Carbon Storage

Potential for forest vegetation carbon storage in Fujian Province, China, determined from forest inventories

2011 ◽  
Vol 345 (1-2) ◽  
pp. 125-140 ◽  
Author(s):  
Yin Ren ◽  
Xiaohua Wei ◽  
Li Zhang ◽  
Shenghui Cui ◽  
Feng Chen ◽  
...  
Keyword(s):  
Carbon Storage ◽  
Forest Vegetation ◽  
Fujian Province ◽  
Forest Inventories ◽  
Vegetation Carbon ◽  
Vegetation Carbon Storage

scholarly journals Review on carbon storage estimation of forest ecosystem and applications in China

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Wanlong Sun ◽  
Xuehua Liu
Keyword(s):  
Carbon Storage ◽  
Forest Ecosystem ◽  
Research Work ◽  
Forest Carbon ◽  
Estimation Methods ◽  
Accurate Estimation ◽  
Carbon Density ◽  
Forest Carbon Storage ◽  
Vegetation Carbon ◽  
Vegetation Carbon Storage

Abstract Background The accuracy in estimating forest ecosystem carbon storage has drawn extensive attention of researchers in the field of global climate change. However, incomparable data sources and various estimation methods have led to significant differences in the estimation of forest carbon storage at large scales. Methods In this study, we reviewed fundamental types of forest carbon storage estimation methods and their applications in China. Results Results showed that the major forest carbon storage estimation methods were classified into 3 major categories and 15 subcategories focusing on vegetation carbon storage estimation, soil carbon storage estimation, and litter carbon storage estimation, respectively. The application in China showed that there have been 3 development stages of research in China since the 1990s. Studies of forest carbon storage estimation in province scales were conducted more frequently in the northeastern, eastern and southwestern provinces such as Zhejiang, Heilongjiang and Sichuan with high forest coverage or large forest area. Inventory-based methods, soil type method, and biomass model were the main forest estimation methods used in China, focusing on vegetation, soil and litter carbon storage estimation respectively. Total forest carbon storage of China was approximate 28.90 Pg C, and the average vegetation carbon density (42.04 ± 5.39 Mg·ha− 1) was much lower than that of the whole world (71.60 Mg·ha− 1). Vegetation carbon density from average biomass method was the highest (57.07 Mg·ha− 1) through comparing nine types of vegetation carbon storage estimation methods applied during 1989 to 1993. Conclusions Many studies on forest carbon storages have been carried out in China at patch scales or regional scales. These efforts enabled the research of forest carbon storage to reach a relatively advanced stage. Meanwhile, the accumulation of massive research data provides the basis for subsequent research work. Some challenges are also existing. This review could provide a reference for more accurate estimation of forest carbon storage in the future.

Drought Effects on Vegetation Carbon Storage in a Moso Bamboo Forest in Northern Zhejiang: Results of a Throughfall Exclusion Experiment

2013 ◽  
Vol 864-867 ◽  
pp. 2715-2718
Author(s):  
Qian Li ◽  
Ben Zhi Zhou ◽  
Xiao Ming Wang ◽  
Xiao Gai Ge ◽  
Yong Hui Cao
Keyword(s):  
Carbon Storage ◽  
Forest Ecosystem ◽  
Moso Bamboo ◽  
Bamboo Forest ◽  
Exclusion Experiment ◽  
Ecosystem Carbon ◽  
Vegetation Carbon ◽  
Vegetation Carbon Storage ◽  
Moso Bamboo Forest ◽  
Throughfall Exclusion

Soil water content is an important factor that influences plant growth of different forests, and then affecting the forest ecosystem carbon storage through the net primary productivity. In this study, a throughfall exclusion experiment was carried out to explore effects of drought on vegetation carbon storage in moso bamboo forest in North Zhejiang of China. The results were showed as follows. The vegetation carbon storage of moso bamboo forest under throughfall exclusion treatment was 14.35% lower than the control plots. And the net CO2 sequestration was 125.07% lower than the control plots. The litterfall in control plots has a tiny drop when compared with the throughfall exclusion plots. These results indicated that drought could reduce forest ecosystem carbon storage and carbon fixation capacity.

Identifying potential sources of variability between vegetation carbon storage estimates for urban areas

2013 ◽  
Vol 183 ◽  
pp. 133-142 ◽  
Author(s):  
Zoe G. Davies ◽  
Martin Dallimer ◽  
Jill L. Edmondson ◽  
Jonathan R. Leake ◽  
Kevin J. Gaston
Keyword(s):  
Carbon Storage ◽  
Urban Areas ◽  
Potential Sources ◽  
Vegetation Carbon ◽  
Vegetation Carbon Storage

Potential impact of large ungulate grazers on African vegetation, carbon storage and fire regimes

2015 ◽  
Vol 24 (9) ◽  
pp. 991-1002 ◽  
Author(s):  
Adrian Pachzelt ◽  
Matthew Forrest ◽  
Anja Rammig ◽  
Steven I. Higgins ◽  
Thomas Hickler
Keyword(s):  
Carbon Storage ◽  
Fire Regimes ◽  
Vegetation Carbon ◽  
Potential Impact ◽  
Vegetation Carbon Storage

scholarly journals Dynamic response of the vegetation carbon storage in the sanjiang plain to changes in land use/cover and climate

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Haiyan Li ◽  
Yi Qu ◽  
Xingyu Zeng ◽  
Hongqiang Zhang ◽  
Ling Cui ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Carbon Storage ◽  
Sanjiang Plain ◽  
Forest Land ◽  
Carbon Density ◽  
The Sanjiang Plain ◽  
Unused Land ◽  
Vegetation Carbon ◽  
Vegetation Carbon Storage

AbstractLarge-scale human activities especially the destruction of forest land, grassland, and unused land result in a large amount of carbon release into the atmosphere and cause drastic changes in land use/cover in the Sanjiang Plain. As a climate change-sensitive and ecologically vulnerable area, the Sanjiang Plain ecosystem’s carbon cycle is affected by significant climate change. Therefore, it is important that studying the impact of the changes in land use/cover and climate on vegetation carbon storage in the Sanjiang Plain. Remote sensing, temperature, and precipitation data in four periods from 2001 to 2015 are used as bases in conducting an analysis of land use/cove types and spatio-temporal variation of vegetation carbon density and carbon storage in growing season using model and related analysis methods. Moreover, the impact of land use/cover change and climate change on vegetation carbon density and carbon storage is discussed. The findings are as follows. (1) Cultivated land in the Sanjiang Plain increased, while forest land, grassland and unused land generally decreased. (2) Vegetation carbon density increased, in which the average carbon density of cultivated land, grassland, and unused land varied insignificantly, while that of forest land increased continuously from 4.18 kg C/m2 in 2001 to 7.65 kg C/m2 in 2015. Vegetation carbon storage increased from 159.18 Tg C in 2001 to 256.83 Tg C in 2015, of which vegetation carbon storage of forest land contributed 94% and 97%, respectively. (3) Conversion of land use/cover types resulted in a 22.76-TgC loss of vegetation carbon storage. Although the forest land area decreased by 3389.5 km2, vegetation carbon storage in the research area increased by 97.65 Tg C owing to the increase of forest carbon density. (4) Pixel-by-pixel analysis showed that vegetation carbon storage in the majority of the areas of the Sanjiang Plain are negatively correlated with temperature and positively correlated with precipitation. The results showed that changes of land use/cover types and vegetation carbon density directly lead to a change in vegetation carbon storage, with the change of forest vegetation carbon density being the main driver affecting vegetation carbon storage variation. The increase of temperature mainly suppresses the vegetation carbon density, and the increase of precipitation mainly promotes it.

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