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.

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.

Temporal and Spatial Distribution Pattern of Carbon Sink in Forest Vegetation of Jiangxi Province

2014 ◽  
Vol 644-650 ◽  
pp. 5295-5299 ◽  
Author(s):  
Qiu Gen Zhang ◽  
Shi Fen Wang ◽  
Yang Jian Zhang ◽  
Jing Yi Wu
Keyword(s):  
Carbon Storage ◽  
Carbon Sink ◽  
Global Climate ◽  
Forest Vegetation ◽  
Jiangxi Province ◽  
Carbon Intensity ◽  
Carbon Density ◽  
Temporal And Spatial Distribution ◽  
Vegetation Carbon ◽  
Vegetation Carbon Storage

Forest ecosystem has a huge carbon sink function and plays an inhibitory effect on global climate warming. The carbon storages of Jiangxi province forest vegetation between 1984 and 2003 were estimated by an age-based volume-to-biomass method according to the forest resource inventory data of the homologous periods. The results showed that the total vegetation carbon storage of Jiangxi province forest vegetation in the four periods was 101.86TgC, 124.1TgC, 157.3TgC and 188.78TgC respectively. The total vegetation carbon storage of Jiangxi province forests had increased 86.92TgC and accumulated about 4.35TgC per year from 1984 to 2003. The average forest vegetation carbon density was between 22.77t/hm2 and 25.94t/hm2. The spatial pattern of forest vegetation carbon storage in Jiangxi province was studied according to forest resources survey data during 10th five-year plan. The results showed that the largest forest vegetation carbon storage was the Ganzhou city (62.36TgC) and the least was Nanchang city (1.72TgC). The average carbon intensity of all city forest vegetation in Jiangxi province was roughly from 20.641t/hm2 to 32.930t/hm2. The smallest carbon density was Nanchang city (20.641t/hm2) while the biggest was Jingdezhen city (32.930t/hm2).

Climate change and its impact on soil and vegetation carbon storage in Kenya, Jordan, India and Brazil

2007 ◽  
Vol 122 (1) ◽  
pp. 114-124 ◽  
Author(s):  
Pete Falloon ◽  
Chris D. Jones ◽  
Carlos Eduardo Cerri ◽  
Rida Al-Adamat ◽  
Peter Kamoni ◽  
...  
Keyword(s):  
Climate Change ◽  
Carbon Storage ◽  
Vegetation Carbon ◽  
Vegetation Carbon Storage

scholarly journals Carbon storage and its changes in Chinese terrestrial ecosystem in recent decades

2018 ◽  
Vol 53 ◽  
pp. 04027
Author(s):  
Lixia Wang ◽  
Changxin Zou ◽  
Yan Wang ◽  
Naifeng Lin
Keyword(s):  
Land Use ◽  
Soil Carbon ◽  
Carbon Storage ◽  
Terrestrial Ecosystem ◽  
Fertilizer Application ◽  
Soil Carbon Storage ◽  
Terrestrial Carbon ◽  
Vegetation Carbon ◽  
Vegetation Carbon Storage ◽  
Intensive Land Use

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.

Re-assessing Vegetation Carbon Storage and Emissions from Land Use Change in China Using Surface Area

2019 ◽  
Vol 29 (4) ◽  
pp. 601-613
Author(s):  
Qingsong He ◽  
Shukui Tan ◽  
Peng Xie ◽  
Yaolin Liu ◽  
Jing Li
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Surface Area ◽  
Carbon Storage ◽  
Vegetation Carbon ◽  
Vegetation Carbon Storage

scholarly journals Spatial-Temporal Change of Land Use and Its Impact on Water Quality of East-Liao River Basin from 2000 to 2020

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1955
Author(s):  
Mingxi Zhang ◽  
Guangzhi Rong ◽  
Aru Han ◽  
Dao Riao ◽  
Xingpeng Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Point Source ◽  
Water Body ◽  
Forest Land ◽  
Point Source Pollution ◽  
Construction Land ◽  
Unused Land ◽  
Non Point Source Pollution

Land use change is an important driving force factor affecting the river water environment and directly affecting water quality. To analyze the impact of land use change on water quality change, this study first analyzed the land use change index of the study area. Then, the study area was divided into three subzones based on surface runoff. The relationship between the characteristics of land use change and the water quality grade was obtained by grey correlation analysis. The results showed that the land use types changed significantly in the study area since 2000, and water body and forest land were the two land types with the most significant changes. The transfer rate is cultivated field > forest land > construction land > grassland > unused land > water body. The entropy value of land use information is represented as Area I > Area III > Area II. The shift range of gravity center is forest land > grassland > water body > unused land > construction land > cultivated field. There is a strong correlation between land use change index and water quality, which can be improved and managed by changing the land use type. It is necessary to establish ecological protection areas or functional areas in Area I, artificial lawns or plantations shall be built in the river around the water body to intercept pollutants from non-point source pollution in Area II, and scientific and rational farming in the lower reaches of rivers can reduce non-point source pollution caused by farming.

scholarly journals Simulating Land-Use Changes and Predicting Maize Potential Yields in Northeast China for 2050

2021 ◽  
Vol 18 (3) ◽  
pp. 938
Author(s):  
Luoman Pu ◽  
Jiuchun Yang ◽  
Lingxue Yu ◽  
Changsheng Xiong ◽  
Fengqin Yan ◽  
...  
Keyword(s):  
Land Use ◽  
Food Security ◽  
Northeast China ◽  
Land Use Changes ◽  
Sanjiang Plain ◽  
Potential Production ◽  
Potential Yield ◽  
The Sanjiang Plain ◽  
Ecological Zones ◽  
The Future

Crop potential yields in cropland are the essential reflection of the utilization of cropland resources. The changes of the quantity, quality, and spatial distribution of cropland will directly affect the crop potential yields, so it is very crucial to simulate future cropland distribution and predict crop potential yields to ensure the future food security. In the present study, the Cellular Automata (CA)-Markov model was employed to simulate land-use changes in Northeast China during 2015–2050. Then, the Global Agro-ecological Zones (GAEZ) model was used to predict maize potential yields in Northeast China in 2050, and the spatio-temporal changes of maize potential yields during 2015–2050 were explored. The results were the following. (1) The woodland and grassland decreased by 5.13 million ha and 1.74 million ha respectively in Northeast China from 2015 to 2050, which were mainly converted into unused land. Most of the dryland was converted to paddy field and built-up land. (2) In 2050, the total maize potential production and average potential yield in Northeast China were 218.09 million tonnes and 6880.59 kg/ha. Thirteen prefecture-level cities had maize potential production of more than 7 million tonnes, and 11 cities had maize potential yields of more than 8000 kg/ha. (3) During 2015–2050, the total maize potential production and average yield decreased by around 23 million tonnes and 700 kg/ha in Northeast China, respectively. (4) The maize potential production increased in 15 cities located in the plain areas over the 35 years. The potential yields increased in only nine cities, which were mainly located in the Sanjiang Plain and the southeastern regions. The results highlight the importance of coping with the future land-use changes actively, maintaining the balance of farmland occupation and compensation, improving the cropland quality, and ensuring food security in Northeast China.

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