Analysis of Ecosystem Carbon Sequestration Change in Guangxi, China from 2000 to 2010 Based on Remote Sensing Data

2014 ◽  
Vol 962-965 ◽  
pp. 1377-1380
Author(s):  
Rong Yu ◽  
Wu Sheng Xiang ◽  
Huan Mei Yao ◽  
Xiu Qin Bu ◽  
Yong Yu Pan
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Carbon Sequestration ◽  
Global Climate ◽  
Terrestrial Ecosystem ◽  
Carbon Stocks ◽  
Guangxi Province ◽  
Mountain Areas ◽  
Fixed Amount ◽  
Ecosystem Carbon

The global change and terrestrial ecosystem (GCTE) is an important research issue in research of global climate change , and terrestrial Ecosystem carbon sequestration is one of the main content of the study. In this paper, ecosystem carbon sequestration capacity calculation and trend analysis of Guangxi Province were made based on the data of remote sensing inversion, for the study of the main ecosystem carbon fixed quantity of spatial distribution and change of Guangxi province over the past 10 years (2000-2010). The results indicated that the ecosystem carbon fixed amount of Guangxi region present high on all sides and low in the center , the spatial distribution of carbon is mainly depends on the spatial distribution of vegetation ecosystem, as the areas of artificial vegetation carbon stocks are generally lower than that of carbon stocks in mountain areas. The amount of carbon fixed showed a general trend of increase from 2000 to 2010.

Water use efficiency threshold for terrestrial ecosystem carbon sequestration in China under afforestation

2014 ◽  
Vol 195-196 ◽  
pp. 32-37 ◽  
Author(s):  
Yang Gao ◽  
Xianjin Zhu ◽  
Guirui Yu ◽  
Nianpeng He ◽  
Qiufeng Wang ◽  
...  
Keyword(s):  
Carbon Sequestration ◽  
Water Use Efficiency ◽  
Water Use ◽  
Terrestrial Ecosystem ◽  
Ecosystem Carbon ◽  
Use Efficiency

Application of Remote Sensing to Monitor Ecosystem Carbon Source and Sink in China

2014 ◽  
Vol 1010-1012 ◽  
pp. 1254-1257
Author(s):  
Jing Wang ◽  
Run He Shi ◽  
Lu Zhang
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Carbon Sink ◽  
National Development ◽  
Terrestrial Ecosystem ◽  
Developed Countries ◽  
Related Data ◽  
Ecosystem Carbon ◽  
Sensing Technology ◽  
Global Carbon

Kyoto Protocol states that developed countries have the responsibility to reduce the amount of greenhouse gas emissions. It, also, suggests that developed countries take measures to enhance carbon sink. Therefore, every country pays more attention on the research of global carbon cycle. China, a developing country with a fast economic increasing rate, has urgent need of related data and information so as to adjust its national development plan and negotiate with other countries. Remote sensing is one of the most important technologies and data sources for large-scale carbon-related researches including terrestrial ecosystem carbon cycling law, carbon sink/source pattern and sink enhancement technology. This paper introduces recent applications of remote sensing technology to the following aspects in China: monitoring land cover, simulating carbon flux, spatial distribution of carbon sink and carbon sink enhancement measures.

scholarly journals Grassland Productivity Response to Climate Change in the Hulunbuir Steppes of China

2019 ◽  
Vol 11 (23) ◽  
pp. 6760
Author(s):  
Zhang ◽  
Zhang ◽  
Li
Keyword(s):  
Climate Change ◽  
Net Primary Productivity ◽  
Global Climate ◽  
Terrestrial Ecosystem ◽  
Spring Precipitation ◽  
Effect Analysis ◽  
Ecosystem Carbon ◽  
Lag Effect ◽  
Negative Effect ◽  
Grassland Productivity

As global climate change deeply affects terrestrial ecosystem carbon cycle, it is necessary to understand how grasslands respond to climate change. In this study, we examined the role of climate change on net primary productivity (NPP) from 1961 to 2010 in the Hulunbuir grasslands of China, using a calibrated process-based biogeochemistry model. The results indicated that: Temperature experienced a rise trend from 1961; summer and autumn precipitation showed a rise trend before the 1990s and decline trend after the 1990s. Winter and spring precipitation showed an ascending trend. Simulated NPP had a high inter-annual variability during the study period, ranging from 139 g Cm−2 to 348 g Cm−2. The annual mean NPP was significant and positive in correlation with the annual variation of precipitation, and the trend was first raised then fell with the turn point at the 1990s. Temperature had a 20–30 d lag in summer, but none in spring and autumn; precipitation had a 10–20 d lag in summer. The climate lag effect analysis confirmed that temperature had a positive effect on NPP in spring and a negative effect in summer.

scholarly journals Assessing the effects of climate and land use land cover changes on recent carbon storage in terrestrial ecosystem using model-satellite approach over Wallonia, Belgium

2021 ◽  
Author(s):  
Arpita Verma ◽  
Louis Francois ◽  
Ingrid Jacquemin ◽  
Merja Tölle ◽  
Huan Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Carbon Sequestration ◽  
Land Cover ◽  
Land Cover Change ◽  
Carbon Storage ◽  
Terrestrial Ecosystem ◽  
Land Use Land Cover ◽  
Vegetation Model ◽  
Dynamic Vegetation Model

<p>The use of a dynamic vegetation model, CARAIB, to estimate carbon sequestration from land-use and land-cover change (LULCC) offers a new approach for spatial and temporal details of carbon sink and for terrestrial ecosystem productivity affected by LULCC. Using the remote sensing satellite imagery (Landsat) we explore the role of land use land cover change (LULCC) in modifying the terrestrial carbon sequestration. We have constructed our LULCC data over Wallonia, Belgium, and compared it with the ground-based statistical data. However, the results from the satellite base LULCC are overestimating the forest data due to the single isolated trees. We know forests play an important role in mitigating climate change by capturing and sequestering atmospheric carbon. Overall, the conversion of land and increase in urban land can impact the environment. Moreover, quantitative estimation of the temporal and spatial pattern of carbon storage with the change in land use land cover is critical to estimate. The objective of this study is to estimate the inter-annual variability in carbon sequestration with the change in land use land cover. Here, with the CARAIB dynamic vegetation model, we perform simulations using remote sensing satellite-based LULCC data to analyse the sensitivity of the carbon sequestration. We propose a new method of using satellite and machine learning-based observation to reconstruct historical LULCC. It will quantify the spatial and temporal variability of land-use change during the 1985-2020 periods over Wallonia, Belgium at high resolution. This study will give the space to analyse past information and hence calibrate the dynamic vegetation model to minimize uncertainty in the future projection (until 2070). Further, we will also analyse the change in other climate variables, such as CO<sub>2</sub>, temperature, etc. Overall, this study allows us to understand the effect of changing land-use patterns and to constrain the model with an improved input dataset which minimizes the uncertainty in model estimation.</p>

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