Sustainable Intensification of Cultivated Land Use and Its Influencing Factors at the Farming Household Scale: A Case Study of Shandong Province, China

2021 ◽  
Vol 31 (1) ◽  
pp. 109-125
Author(s):  
Shandong Niu ◽  
Xiao Lyu ◽  
Guozheng Gu ◽  
Xiaoping Zhou ◽  
Wenlong Peng
Keyword(s):  
Land Use ◽  
Influencing Factors ◽  
Shandong Province ◽  
Sustainable Intensification ◽  
Cultivated Land ◽  
Farming Household

scholarly journals How do changes along the risk chain affect flood risk?

2018 ◽  
Vol 18 (11) ◽  
pp. 3089-3108 ◽  
Author(s):  
Ayse Duha Metin ◽  
Nguyen Viet Dung ◽  
Kai Schröter ◽  
Björn Guse ◽  
Heiko Apel ◽  
...  
Keyword(s):  
Land Use ◽  
Sensitivity Analysis ◽  
Influencing Factors ◽  
Flood Risk ◽  
River System ◽  
Drivers Of Change ◽  
Damage Mechanisms ◽  
Atmospheric Processes ◽  
Case Study Area

Abstract. Flood risk is impacted by a range of physical and socio-economic processes. Hence, the quantification of flood risk ideally considers the complete flood risk chain, from atmospheric processes through catchment and river system processes to damage mechanisms in the affected areas. Although it is generally accepted that a multitude of changes along the risk chain can occur and impact flood risk, there is a lack of knowledge of how and to what extent changes in influencing factors propagate through the chain and finally affect flood risk. To fill this gap, we present a comprehensive sensitivity analysis which considers changes in all risk components, i.e. changes in climate, catchment, river system, land use, assets, and vulnerability. The application of this framework to the mesoscale Mulde catchment in Germany shows that flood risk can vary dramatically as a consequence of plausible change scenarios. It further reveals that components that have not received much attention, such as changes in dike systems or in vulnerability, may outweigh changes in often investigated components, such as climate. Although the specific results are conditional on the case study area and the selected assumptions, they emphasize the need for a broader consideration of potential drivers of change in a comprehensive way. Hence, our approach contributes to a better understanding of how the different risk components influence the overall flood risk.

Implications of land-use change in rural China: A case study of Yucheng, Shandong province

2014 ◽  
Vol 40 ◽  
pp. 111-118 ◽  
Author(s):  
Yansui Liu ◽  
Ren Yang ◽  
Hualou Long ◽  
Jay Gao ◽  
Jieyong Wang
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Rural China ◽  
Shandong Province

scholarly journals How do changes along the risk chain affect flood risk?

2018 ◽  
Author(s):  
Ayse Duha Metin ◽  
Nguyen Viet Dung ◽  
Kai Schröter ◽  
Björn Guse ◽  
Heiko Apel ◽  
...  
Keyword(s):  
Land Use ◽  
Sensitivity Analysis ◽  
Influencing Factors ◽  
Flood Risk ◽  
River System ◽  
Drivers Of Change ◽  
Damage Mechanisms ◽  
Atmospheric Processes ◽  
Case Study Area

Abstract. Flood risk is impacted by a range of physical and socio-economic processes. Hence, the quantification of flood risk ideally considers the complete flood risk chain, from atmospheric processes through catchment and river system processes to damage mechanisms in the affected areas. Although it is generally accepted that a multitude of changes along the risk chain can occur and impact flood risk, there is a lack of knowledge how and to what extent changes in influencing factors propagate through the chain and finally affect flood risk. To fill this gap, we present a comprehensive sensitivity analysis which considers changes in all risk components, i.e. changes in climate, catchment, river system, land use, assets and vulnerability. The application of this framework to the mesoscale Mulde catchment in Germany shows that flood risk can vary dramatically as consequence of plausible change scenarios. It further reveals that components that have not received much attention, such as changes in dike systems or in vulnerability, may outweigh changes in often investigated components, such as climate. Although the specific results are conditional on the case study area and the selected assumptions, they emphasise the need for a broader consideration of potential drivers of change in a comprehensive way. Hence, our approach contributes to a better understanding of how the different risk components influences the overall flood risk.

scholarly journals Land Use Transition and Its Influencing Factors in Poverty-Stricken Mountainous Areas of Sangzhi County, China

2019 ◽  
Vol 11 (18) ◽  
pp. 4915 ◽  
Author(s):  
Wenhai Xie ◽  
Wanfu Jin ◽  
Kairui Chen ◽  
Jilin Wu ◽  
Chunshan Zhou
Keyword(s):  
Land Use ◽  
Influencing Factors ◽  
Influence Factors ◽  
Land Use Type ◽  
Cultivated Land ◽  
Forest Land ◽  
Mountainous Areas ◽  
Type Conversion ◽  
Traffic Conditions ◽  
Rural Construction

Previous studies have rarely revealed the characteristics and influencing factors of land use transformation (LUT) in poverty-stricken areas, where multiple actions of cultivated land protection are undertaken. The land use conversion matrix and Spatial Durbin Model were used to analyze the characteristics and influence factors of LUT based on remote sensing interpretation data of Sangzhi County in 2010, 2015, and 2018. The results demonstrate the following: (1) From 2010–2018, cultivated land, forest land, waters, and urban and rural construction land in Sangzhi County increased by 4.91%, 0.03%, 58.99%, and 55.63%, respectively, and grassland decreased by 13.32%. (2) Terrain, territorial, and traffic conditions were common influence factors of the land use type conversion (i.e., forest land to cultivated land, grassland to forest land, cultivated land to forest land, grassland to cultivated land, and cultivated land to urban and rural construction land). The conversion of land use type has a negative effect on the land use type conversion of adjacent townships. Territorial and traffic conditions affect the land use type conversion of adjacent townships. The results illuminate LUT at the township scale in mountainous areas and are beneficial to promoting the sustainable use of land resources and poverty alleviation.

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