scholarly journals Carbon Dioxide Emissions and Their Driving Forces of Land Use Change Based on Economic Contributive Coefficient (ECC) and Ecological Support Coefficient (ESC) in the Lower Yellow River Region (1995–2018)

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2600 ◽  
Author(s):  
Tianqi Rong ◽  
Pengyan Zhang ◽  
Wenlong Jing ◽  
Yu Zhang ◽  
Yanyan Li ◽  
...  

Land use change is the second largest source of greenhouse gas emissions after fossil combustion, which can hurt ecological environment severely. Intensive study on land use carbon emissions is of great significance to alleviate environmental pressure, formulate carbon emission reduction policy, and protect ecological development. The lower Yellow River area is an important area of economic development, grain cultivation, and agricultural production in China. Land use change has significant economic, environmental, and ecological impacts in this region. Deep study of land used carbon emissions and its influencing factors in the lower Yellow River area is not only of great significance to the environmental improvement in the Yellow River basin, but also can provide references for the research of other basins. Based on this, this paper studies the land use carbon emissions of 20 cities in the lower Yellow River area from 1995 to 2018. The results showed that from 1995 to 2018, the land use change was characterized by the decrease of the ecological land and the increase of the built-up land significantly. The overall carbon emission of the lower Yellow River area is increasing, and the built-up land is the main factor that leads to the increase of carbon emission, which can be also proven by the analysis of the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. The economic contributive coefficient (ECC) and ecological support coefficient (ESC) of carbon emission in the lower Yellow River area show a trend of high in Zhengzhou, Jinan, and Zibo and low in Zhoukou, Shangqiu, and Heze, and there was no significant changes during the study period, which indicates that each city did not achieve the coordinated development of the ecological economy. Finally, analysis results of the STIRPAT model indicated that the area of built-up land had the greatest impact on land use carbon emissions, followed by tertiary industry, whereas per capita gross domestic product (GDP) had the smallest impact. For every 1% increase in the area of built-up land, carbon emissions increased by 1.024%. By contrast, for every 1% increase in the contribution of tertiary industry to the GDP and per capita GDP, carbon emissions decreased by 0.051% and 0.034%, respectively. According to the study, there are still many problems in the coordinated development of economy and ecology in the lower Yellow River area. The lower Yellow River area should control the expansion of built-up land, afforestation, development of technology, reduction of carbon emissions, and promotion of the high-quality development of the Yellow River Basin.

2010 ◽  
Vol 136 (1) ◽  
pp. 106-115 ◽  
Author(s):  
Yaqin Qiu ◽  
Yangwen Jia ◽  
Jincheng Zhao ◽  
Xuehong Wang ◽  
Jeff Bennett ◽  
...  

2020 ◽  
Author(s):  
Jingjing Liu ◽  
Jing Wang ◽  
Ying Fang ◽  
Zehui Li

<p>The Yellow River basin, from west to east through different gradient terrains and climates, has huge spatial differences of land use and problematic eco‐environment. The understanding of relationship between land use change and agricultural production is crucial for coordinating the conflict between land development and environment protection in the Yellow River basin. In this study, the relationship between changes in arable land and urban land and changes in vegetation cover and agricultural production potential were quantitatively analyzed. Whether reclaimed land in the Yellow River basin can be converted to arable land and whether the occupation of urban land will cause ecosystem degradation were also discussed. The results indicated that: (1) Land use change in the Yellow River basin was greatly influenced by precipitation, which also affected the agricultural production potential and the Normalized Difference Vegetation Index (NDVI) in the Yellow River basin. The implementation of the Grain for Green program (GGP) had an effective restoration for vegetation cover and the resistance of soil erosion. Although the net area of arable land decreased by 71.6 ten thousand ha, the net production potential of arable land still increased by 1.7 ten thousand tons due to the inferior quality of the arable land for ecological restoration. (2) The concentrated distributed grassland and forest shrunk and the supply of ecosystem services and NDVI reduced, leading to ecological degraded in urban agglomeration regions where human activity was concentrated and construction land was increasing rapidly during the period of 2000–2015. The arable land was reduced by 43.3 ten thousand ha due to urban expansion, accounting for 59% of the total area of urban expansion, and consequently the agricultural production potential in the lower reaches was decreased. (3) Although it has not contributed significantly to agricultural production, the reclaimed land can be converted to arable land to a certain extent, due to its reasonable use for improving the ecological status of the Yellow River basin. 34.1 ten thousand ha of unused land and grassland were reclaimed for arable land under the Requisition‐Compensation Equilibrium of Farmland, which accounts for 1.27% of the total arable land. The increase of potential productivity brought by the reclamation of land for agricultural use only accounts for 0.56% of the total arable land potential productivity. However, compared with the whole Yellow River basin and the GGP region, the region with arable land reclaimed by low-coverage grassland and unused land leads to the highest increasing rate of the supply of ecosystem services and NDVI. The results could provide theoretical support and decision-making basis for further eco‐environment reconstruction, and promoting the reasonable land use and high-quality development in the Yellow River basin.</p>


Author(s):  
Yanbo Qu ◽  
Haining Zong ◽  
Desheng Su ◽  
Zongli Ping ◽  
Mei Guan

The basic premise of regional ecological construction would be to scientifically and effectively grasp the characteristics of land use change and its impact on landscape ecological risk. The research objects of this paper are the typical areas of the Yellow River Basin in China and “process-change-drive” as the logical main line. Moreover, this paper is based on multi-period land use remote sensing data from 2000 to 2020, the regional land use change process and influencing factors are identified, the temporal and spatial evolution and response process of landscape ecological risk are discussed, and the land use zoning control strategy to reduce ecological risk is put forward. The results indicated: (1) The scale and structure of land use show the characteristics of “many-to-one” and “one-to-many”; (2) the process of land use change is affected by the alternation of multiple factors. The natural environment and socio-economic factors dominate in the early stage and the location and policy factors have a significant impact in the later stage; (3) the overall landscape ecological risk level and conversion rate show a trend of “high in the southeast, low in the northwest”, shift from low to high and landscape ecological risks gradually increase; and (4) in order to improve the regional ecological safety and according to the characteristics of landscape ecological risk and spatial heterogeneity, we should adopt the management and control zoning method and set different levels of control intensity (from key intensity to strict intensity to general intensity), and develop differentiated land use control strategies.


Author(s):  
Dongyang Xiao ◽  
Haipeng Niu ◽  
Jin Guo ◽  
Suxia Zhao ◽  
Liangxin Fan

The significant spatial heterogeneity among river basin ecosystems makes it difficult for local governments to carry out comprehensive governance for different river basins in a special administrative region spanning multi-river basins. However, there are few studies on the construction of a comprehensive governance mechanism for multi-river basins at the provincial level. To fill this gap, this paper took Henan Province of China, which straddles four river basins, as the study region. The chord diagram, overlay analysis, and carbon emission models were applied to the remote sensing data of land use to analyze the temporal and spatial patterns of carbon storage caused by land-use changes in Henan Province from 1990 to 2018 to reflect the heterogeneity of the contribution of the four basins to human activities and economic development. The results revealed that food security land in the four basins decreased, while production and living land increased. Ecological conservation land was increased over time in the Yangtze River Basin. In addition, the conversion from food security land to production and living land was the common characteristic for the four basins. Carbon emission in Henan increased from 134.46 million tons in 1990 to 553.58 million tons in 2018, while its carbon absorption was relatively stable (1.67–1.69 million tons between 1990 and 2018). The carbon emitted in the Huai River Basin was the main contributor to Henan Province’s total carbon emission. The carbon absorption in Yellow River Basin and Yangtze River Basin had an obvious spatial agglomeration effect. Finally, considering the current need of land spatial planning in China and the goal of carbon neutrality by 2060 set by the Chinese government, we suggested that carbon sequestration capacity should be further strengthened in Yellow River Basin and Yangtze River Basin based on their respective ecological resource advantages. For future development in Hai River Basin and Huai River Basin, coordinating the spatial allocation of urban scale and urban green space to build an ecological city is a key direction to embark upon.


2021 ◽  
Vol 220 ◽  
pp. 14-21
Author(s):  
Zhao-Xian Su ◽  
Guo-Xing Zhang ◽  
Long Xu ◽  
Gong-Han Geng ◽  
Yi-Cun Wang ◽  
...  

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