scholarly journals Analysis of the Spatiotemporal Heterogeneity of Various Landscape Processes and Their Driving Factors Based on the OPGD Model for the Jiaozhou Bay Coast Zone, China

Land ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 7
Author(s):  
Wei Wang ◽  
Yecui Hu ◽  
Rong Song ◽  
Zelian Guo
Keyword(s):  
Jiaozhou Bay ◽  
Arable Land ◽  
Great Influence ◽  
Spatiotemporal Analysis ◽  
Driving Factors ◽  
Vegetation Coverage ◽  
Landscape Processes ◽  
Lower Elevation ◽  
Ecological Type ◽  
Administrative Center

To date, various studies have analyzed changes in the landscape but there are few studies which have explored landscape processes and the corresponding driving factors. This study makes up for this deficiency in the systematic theoretical exposition and the spatiotemporal analysis of landscape processes. The results show that the amount of arable land outflow and built-up land inflow have resulted in an increase of 92,311.11 ha of built-up land that is mostly distributed around the administrative center and along the coast of Jiaozhou Bay. The outflow of ecological land is a major resource for replenishing arable land, by 37,016.19 ha, especially in terms of the grassland that is distributed in the hilly areas west of Jiaozhou Bay. The outflow of the salt-field, fish-farm and ecological land outflow have good connectivity, a large patch size, and an irregular shape. The ecological type, elevation, slope, and vegetation coverage are the four factors that have a great influence on all landscape processes. A gentler slope and lower elevation, and proximity to cities and towns land will produce more arable land outflow and built-up land inflow. However, arable land inflow and ecological land outflow are the opposite. This research will guide natural resource management for a rapidly developing coastal zone.

Spatio-temporal dynamics of fractional vegetation coverage based on MODIS-EVI and its driving factors in Southwest China

2021 ◽  
Vol 41 (3) ◽  
Author(s):  
李美丽，尹礼昌，张园，苏旭坤，刘国华，王晓峰，奥勇，伍星 LI Meili
Keyword(s):  
Southwest China ◽  
Temporal Dynamics ◽  
Driving Factors ◽  
Vegetation Coverage ◽  
Modis Evi ◽  
Spatio Temporal

scholarly journals Spatiotemporal Analysis of Potential Impact of Soil Erosion on Maize and Groundnuts Yield in Northern Ghana

2021 ◽  
Vol 5 (2) ◽  
pp. 486-493
Author(s):  
Wilson Agyei Agyare ◽  
Eliasu Salifu
Keyword(s):  
Soil Erosion ◽  
Water Conservation ◽  
Arable Land ◽  
Current Trend ◽  
Spatiotemporal Analysis ◽  
Crop Productivity ◽  
Potential Effect ◽  
Northern Ghana ◽  
Erosion Rates ◽  
North East

Abstract Soil erosion is a threat to the viability of arable land, which has a relationship with crop productivity. This study was carried out in the Northern, North-East and Savannah Regions of Ghana, which have a high agricultural potential. The study examined erosion-yield relationship by comparing estimated erosion rates with maize and groundnut yields in a GIS environment. The study also projected soil erosion and determined its potential effect on the yield of maize and groundnuts. The soil erosion rates were found to be 4.2 t ha-1y-1, 5.1 t ha-1y-1 and 7.1 t ha-1y-1 for the Northern, North-East and Savannah Regions respectively. Projections for the next 10 years showed that, soil erosion will averagely increase by about 12 %, which could reduce the yield of maize and groundnut by 21 % and 16 % respectively by the year 2031, should the current trend continue. The study also found out that crop (maize and groundnut) yield per land area is relatively lower in areas severely affected by soil erosion. Farmers in the study area and areas of similar ecology must be encouraged to adopt Soil and Water Conservation (SWC) strategies to enhance and sustain productivity.

Spatiotemporal change of vegetation coverage recovery and its driving factors in the Wenchuan earthquake-hit areas

2021 ◽  
Vol 18 (11) ◽  
pp. 2854-2869
Author(s):  
Xiao-fei Sun ◽  
Lin-guo Yuan ◽  
Ying-zhi Zhou ◽  
Huai-yong Shao ◽  
Xian-feng Li ◽  
...  
Keyword(s):  
Wenchuan Earthquake ◽  
Driving Factors ◽  
Vegetation Coverage ◽  
Spatiotemporal Change ◽  
The Wenchuan Earthquake

scholarly journals Spatio-Temporal Variation Characteristics and Driving Forces of Farmland Shrinkage in Four Metropolises in East Asia

2020 ◽  
Vol 12 (3) ◽  
pp. 754 ◽  
Author(s):  
Yaxin Shi ◽  
Yishao Shi
Keyword(s):  
East Asia ◽  
Metropolitan Area ◽  
Index System ◽  
Arable Land ◽  
Driving Factors ◽  
Evaluation Index System ◽  
Primary Factor ◽  
Evaluation Index ◽  
Cultivated Land ◽  
Tokyo Metropolitan Area

The shrinkage of cultivated land is a general trend in metropolitan areas. However, previous studies have mainly paid attention to the shrinkage of arable land in major grain-producing areas, mixed agro-pastoral areas, ecologically fragile areas and construction areas of major engineering projects (such as the Three Gorges project). This paper analyses the characteristics and driving factors of cultivated land change on the metropolitan area scale and longer time dimension. Exemplified by four metropolises in East Asia, Tokyo, Beijing, Shanghai and Guangzhou, based on official statistics for the cities involved, using correlation analysis, principal component analysis and regression analysis methods and Statistical Product and Service Solutions (SPSS) 25 software, the main driving factors and differences in cultivated land shrinkage in Beijing, Shanghai, Guangzhou and the Tokyo metropolitan area are quantitatively revealed. The results show the following: (1) there are some differences in the shrinkage in arable land and spatial distributions among different cities. Tokyo and Guangzhou still have some cultivated land in central urban areas, while there is no arable land in the central areas of Beijing and Shanghai. (2) There is a clear difference in the main driving factors of cultivated land shrinkage between the Tokyo metropolitan area and Beijing, Shanghai and Guangzhou. Residential area and population are the main driving factors for the former, while economic development and urbanisation are the main driving factors for the latter three areas. It shows that the shrinkage of cultivated land is closely related to the developmental stage of urbanisation. (3) There is a rather obvious difference in the main driving factors of cultivated land change among Beijing, Shanghai and Guangzhou. Gross Domestic Product (GDP) is the primary factor leading to the shrinkage of arable land in Beijing, built-up area is the primary factor in Shanghai, and the Engel’s coefficient for rural residents is the primary factor in Guangzhou. This reflects the difference in measures for the utilisation and protection of cultivated land among different cities. (4) The socioeconomic factors that affect the contraction of cultivated land are varied. In this study, industrial restructuring is included in the evaluation index system, mainly because industrial transformation and upgrading is essential for sustainable development of emerging global cities, and agricultural production conditions are not included in the evaluation index system, mainly because they are more the result of urbanisation than the cause.

scholarly journals Physical and Socioeconomic Driving Forces of Land-Use and Land-Cover Changes: A Case Study of Wuhan City, China

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Xiangmei Li ◽  
Ying Wang ◽  
Jiangfeng Li ◽  
Bin Lei
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Arable Land ◽  
Driving Factors ◽  
Land Cover Changes ◽  
Physical Factors ◽  
Driving Mechanism ◽  
Urban Management ◽  
Wuhan City

To investigate precise nexus between land-use and land-cover changes (LUCC) and driving factors for rational urban management, we used remotely sensed images to map land use and land cover (LULC) from 1990 to 2010 for four time periods using Wuhan city, China, as a case study. Partial least squares (PLS) method was applied to analyze the relationships between LUCC and the driving factors, mainly focusing on three types of LULC, that is, arable land, built-up area, and water area. The results were as follows:(1)during the past two decades, the land-use pattern in Wuhan city showed dramatic change. Arable land is made up of the largest part of the total area. The increased built-up land came mainly from the conversion of arable land for the purpose of economic development.(2)Based on the Variable Importance in Projection (VIP), the joint effects of socioeconomic and physical factors on LUCC were dominant, though annual temperature, especially annual precipitation, proved to be less significant to LUCC. Population, tertiary industry proportion, and gross output value of agriculture were the most significant factors for three major types of LULC. This study could help us better understand the driving mechanism of urban LUCC and important implications for urban management.

scholarly journals Atmospheric NO2 Distribution Characteristics and Influencing Factors in Yangtze River Economic Belt: Analysis of the NO2 Product of TROPOMI/Sentinel-5P

Atmosphere ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1142
Author(s):  
Xian Liu ◽  
Guihua Yi ◽  
Xiaobing Zhou ◽  
Tingbin Zhang ◽  
Yan Lan ◽  
...  
Keyword(s):  
Atmospheric Chemistry ◽  
Yangtze River ◽  
Synergistic Effects ◽  
Influencing Factor ◽  
Explanatory Power ◽  
Great Influence ◽  
Temporal Distribution ◽  
Driving Factors ◽  
Vertical Column ◽  
Vertical Column Density

Nitrogen dioxide (NO2) has a great influence on atmospheric chemistry. Scientifically identifying the temporal-spatial characteristics of NO2 distribution and their driving factors will be of realistic significance to atmospheric governance in the Yangtze River Economic Belt (YREB). Based on the NO2 data derived from the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 satellite (2017~present), spatial autocorrelation analysis, standard deviation ellipse (SDE), and geodetectors were used to systematically analyze the spatial-temporal evolution and driving factors of tropospheric NO2 vertical column density (NO2 VCD) in the YREB from 2019 to 2020. The results showed that the NO2 VCD in the YREB was high in winter and autumn and low in spring and summer (temporal distribution), and high in the northeast and low in the southwest (spatial distribution), with significant spatial agglomeration. High-value agglomeration zones were collectively and stably distributed in the east region, while low-value zones were relatively dispersed. The explanatory power of each potential factor for the NO2 VCD showed regional and seasonal variations. Surface pressure was found to be a core influencing factor. Synergistic effects of factors presented bivariate enhancement or nonlinear enhancement, and interaction between any two factors strengthened the explanatory power of a single factor for the NO2 VCD.

Driving factors and assessment of changes in the use of arable land in Tanzania

2021 ◽  
Vol 104 ◽  
pp. 105359
Author(s):  
Amani Michael Uisso ◽  
Harun Tanrıvermiş
Keyword(s):  
Arable Land ◽  
Driving Factors

scholarly journals Spatiotemporal Variation of Vegetation on the Qinghai–Tibet Plateau and the Influence of Climatic Factors and Human Activities on Vegetation Trend (2000–2019)

2020 ◽  
Vol 12 (19) ◽  
pp. 3150
Author(s):  
Junhan Chen ◽  
Feng Yan ◽  
Qi Lu
Keyword(s):  
Human Activities ◽  
Hurst Exponent ◽  
Climatic Factors ◽  
Growing Season ◽  
Driving Factors ◽  
Tibet Plateau ◽  
Vegetation Coverage ◽  
Vegetation Dynamic ◽  
Vegetation Degradation ◽  
Qinghai Tibet Plateau

Vegetation is the terrestrial ecosystem component most sensitive to climate change. The Qinghai–Tibet Plateau (QTP), characterized by a cold climate and vulnerable ecosystems, has experienced significant warming in previous decades. Identifying the variation in vegetation coverage and elucidating its main driving factors are critical for ecological protection on the QTP. In this study, MOD13A2 Normalized Difference Vegetation Index (NDVI) data in the growing season (May to September) was used to represent QTP vegetation coverage during 2000–2019. The univariate linear regression, partial correlation analysis, residual analysis, and the Hurst exponent were used to detect the vegetation spatiotemporal dynamic, analyze the relationship between the vegetation and main driving factors, and predict the future vegetation dynamic. The growing season NDVI (GNDVI) of the QTP showed an extremely significant rate of increase (0.0011/a) during the study period, and 79.29% of the vegetated areas showed a greening trend. Over the past 20 years, the northeast, mid-east, and western edges of the plateau have been cooling and wetting, while the southwest, mid-west, and southeast have been warming and drying. Different climatic conditions lead to spatial differences in the response of plateau vegetation to climatic factors with generally 1–4 months lag time. The vegetation in the north of the plateau was mainly positively correlated with moisture, and negatively correlated with temperature, while the southern part showed positive correlation with temperature and negative correlation with moisture. Due to the enhancement of cooling and wetting trend in the last decade (2010–2019), especially in the south of the plateau, the greening trend of the plateau vegetation slowed down appreciably and even degraded in some areas. Human activities were mainly concentrated in the eastern part of the plateau—and its positive effect on vegetation was gradually increasing in most areas during study period, especially in the northeastern part. However, vegetation degradation caused by human activities in the southeast of the plateau should not be ignored. The future vegetation dynamic based on the Hurst exponent showed that the plateau faces a higher risk of vegetation degradation, which deserves more attention. This study explored the effect of climatic factors and human activities on vegetation of the QTP, thereby providing some guidance for the study of vegetation dynamic in the alpine areas.

scholarly journals Satellite Image-Based Methods of Spatiotemporal Analysis on Sustainable Urban Land Use Change and the Driving Factors: A Case Study in Caofeidian and the Suburbs, China

2019 ◽  
Vol 11 (10) ◽  
pp. 2927 ◽  
Author(s):  
Guang Yang ◽  
Sara Chao ◽  
Jin Yeu Tsou ◽  
Yuanzhi Zhang
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Rapid Development ◽  
Spatiotemporal Analysis ◽  
Urban Land ◽  
Urban Land Use ◽  
Driving Factors ◽  
Target Area ◽  
Coastal Cities ◽  
The Impact

As a typical rapid-development seaport area in coastal cities, such as Caofeidian, the study on the spatiotemporal changes of urban land use and its surrounding rural areas is valuable and significant in reference to the future urban planning and land policies in similar coastal areas of China or other countries. Based on satellite images, this research processes images in different years for summarizing the changes of vegetation, urban areas, and water areas in Caofeidian and the suburbs. This research aims to summarize the experience of the coastal city in the process of sustainable development by analyzing the dynamic trends and driving factors of land use spatial and temporal changes in the target area so that it provides a reference for the long-term development of the city. Meanwhile, it also hopes to give support for refining and improving the spatiotemporal analysis method for sustainable urban land use through the experiment. Due to the appearance of the results of the abnormal data, in the experiment process, this article adopts a comparative experiment to avoid the error of the analysis result and to find out the reason. The results show that the urban area for construction increased rapidly in the past twenty years, which is mainly affected by factors, such as economic development, policy guidance, environmental awareness, and environmental protection measures, especially guided by policies. Thus, coastal cities should stretch the planning of sustainable development from the three aspects combining with local characteristics. Besides, phenological phenomena and crops harvest time tremendously affect the images and calculation. The selection of remotely-sensed images should fully consider the characteristics of urban and rural locations, especially the impact of local phenological phenomena. The results of the analysis provide reference value and support for sustainable urban land management and development in the study area and other coastal cities.

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