Impacts of Land Use Change on the Vegetation Carbon Storage in Rapid Development Area: A Case Study of Wujiang City, China

Author(s):  
Jiqun Wen ◽  
Lijie Pu
2019 ◽  
Vol 29 (4) ◽  
pp. 601-613
Author(s):  
Qingsong He ◽  
Shukui Tan ◽  
Peng Xie ◽  
Yaolin Liu ◽  
Jing Li

2017 ◽  
Vol 29 (3) ◽  
pp. 835-848 ◽  
Author(s):  
Bikesh Shrestha ◽  
Thomas A. Cochrane ◽  
Brian S. Caruso ◽  
Mauricio E. Arias

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Haiyan Li ◽  
Yi Qu ◽  
Xingyu Zeng ◽  
Hongqiang Zhang ◽  
Ling Cui ◽  
...  

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.


2015 ◽  
Vol 35 (1) ◽  
Author(s):  
吴胜男 WU Shengnan ◽  
李岩泉 LI Yanquan ◽  
于大炮 YU Dapao ◽  
周莉 ZHOU Li ◽  
周旺明 ZHOU Wangming ◽  
...  

2011 ◽  
Vol 261 (7) ◽  
pp. 1214-1223 ◽  
Author(s):  
Yin Ren ◽  
Xing Wei ◽  
Xiaohua Wei ◽  
Junzhong Pan ◽  
Pingping Xie ◽  
...  

2018 ◽  
Vol 53 ◽  
pp. 04027
Author(s):  
Lixia Wang ◽  
Changxin Zou ◽  
Yan Wang ◽  
Naifeng Lin

This paper made a comprehensive assessment on carbon storage in terrestrial ecosystem in China by reviewing published literatures. Much more detailed carbon storages in vegetation, soil and ecosystem were summarized for forest, grassland, shrub, cropland and wetland in recent decades. It was discovered that total terrestrial carbon storage in China was 67.9 ~191.8 Pg C in recent decades, 6.1 ~ 57.57 Pg C was stored in vegetation, and 161.7 ~ 185.7 Pg C was stored in topsoil at a depth of 100 cm. Vegetation carbon storage has increased obviously in recent years; soil carbon storage declined in some areas owing to intensive land use, while it increased in other areas because of fertilizer application and reforestation. Total terrestrial carbon storage over China has increased in recent decades, and it is expected to continue to increase.


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