scholarly journals The Response Relationship between Land Use/Land Cover and Watershed Lagged Effect based on Different Time Scales--A Case Study in Central Guizhou of China*

2021 ◽  
Author(s):  
Zhonghua he ◽  
Cuiwei Zhao ◽  
Hong Liang ◽  
Zhaohui Yang
Keyword(s):  
Land Use ◽  
Time Scales ◽  
Land Use Type ◽  
Cultivated Land ◽  
Construction Land ◽  
Grass Land ◽  
Land Transfer ◽  
Lagged Effects ◽  
The Impact ◽  
Different Time Scales

Abstract As we all know, the drought occurrence indicates that there is no rainfall or little rainfall in a certain period. However, the no or little rainfall does not mean that the droughts must be occur, and the occurrence of droughts shows a certain lag in the different areas. This paper analyzes the characteristics of watershed lagged effects and human activities in Central Guizhou of China (CGC) by the Lagged Index (LI) and Landscape Index (LI) based on the land use data, rainfall and runoff data during the periods of 1971–2016.The results show that ①the influence difference of the same land use type on the lagged intensity was particularly significant(P < 0.001)in the different ages (1970s-2010s). Among them, it gradually increased for the impacts of the wood land, grass land and cultivated land on the lagged intensity with the increasing of ages, and reached the maximum in the 2000s, and reached the maximum in the 2000s, while it did not change significantly for the water land and construction land.②The impact of land use type transfer on watershed lagged effects is particularly significant (P < 0.001).Among them, it gradually increases for the wood land transfer with the prolongation of lagged periods, and reaches the maximum for the construction land transfer in the lag-1 period (Xt−1), and is not significant for the rest type transfer.③The impact differences of the principal components (Zs) on watershed lagged effects are particularly significant for the morphological characteristics of land use types in different lagged periods (Xt−0-Xt−3), and different ages (1970s-2010s), as well as the different time scales (1–12 months). Among them, it is the largest for the impact of grass land and water land on watershed lagged intensity, and gradually increases with the increasing of time scales (the maximum in the 9-month scale), followed by the wood land and cultivated land with the maximum in the 9- and 6- month scales, respectively. And it is the smallest for the construction land, and gradually increases with the increasing of time scales (the maximum in the 9-month scale).

scholarly journals Correlation Studies between Land Cover Change and Baidu Index: A Case Study of Hubei Province

2020 ◽  
Vol 9 (4) ◽  
pp. 232 ◽  
Author(s):  
Yongqing Zhao ◽  
Rendong Li ◽  
Mingquan Wu
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Driving Forces ◽  
Research Area ◽  
Hubei Province ◽  
Cultivated Land ◽  
Land Occupation ◽  
Construction Land ◽  
The Impact

Current land cover research focuses primarily on spatial changes in land cover and the driving forces behind these changes. Among such forces is the influence of policy, which has proven difficult to measure, and no quantitative research has been conducted. On the basis of previous studies, we took Hubei Province as the research area, using remote sensing (RS) images to extract land cover change data using a single land use dynamic degree and a comprehensive land use dynamic degree to study land cover changes from 2000 to 2015. Then, after introducing the Baidu Index (BDI), we explored its relationship with land cover change and built a tool to quantitatively measure the impact of changes in land cover. The research shows that the key search terms in the BDI are ‘cultivated land occupation tax’ and ‘construction land planning permit’, which are closely related to changes in cultivated land and construction land, respectively. Cultivated land and construction land in all regions of Hubei Province are affected by policy measures with the effects of policy decreasing the greater the distance from Wuhan, while Wuhan is the least affected region.

Spatial and Temporal Change of Land Use/Cover Change in Hebei Bohai Rim for Recent 40 Years

2014 ◽  
Vol 955-959 ◽  
pp. 4002-4008 ◽  
Author(s):  
Jing Chen ◽  
Mei Chen Fu ◽  
Jing Wei
Keyword(s):  
Land Use ◽  
Temporal Change ◽  
Water Area ◽  
Transfer Model ◽  
Cultivated Land ◽  
Forest Land ◽  
Construction Land ◽  
Grass Land ◽  
Transfer Direction ◽  
Land Water

Based on the remote sensing image data of 1970, 1980, 1990, 2000 and 2008, the transfer matrix of land use/cover change were extracted using ArcGIS software, and the paper analyzed the spatial and temporal change of land use/cover change using barycenter transfer model. Results showed that: (1) From 1970 to 2008, cultivated land had been dominated land use type, followed by water area, construction land and unexploited land, and there was small proportion of forest land and grass land; forest land, water area, construction land and unexploited land were increased, and cultivated land and grass land were decreased; the conversions among cultivated land, water area and unexploited land were more closely. (2) The study on barycenter transfer model indicated that from 1970 to 2008, the barycenter transfer direction of cultivated land and construction land was north by west, and the barycenter transfer direction of forest land and unexploited land was south by west, and the barycenter transfer direction of grass land was south by east, with the maximum distance; and that of water area was north by east.

Characteristics of Landscape (Land Use) Change and its Driving Force in County - A Case Study of Shunyi District of Beijing

2014 ◽  
Vol 692 ◽  
pp. 115-120
Author(s):  
Shuai Shi ◽  
Zhi Hui Chen ◽  
Ji Qi ◽  
Yun Liu
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Agricultural Land ◽  
Social Economy ◽  
Water Area ◽  
Cultivated Land ◽  
Forest Land ◽  
Gis Technology ◽  
Construction Land ◽  
Grass Land

Based on land use data and social economy data in 1999 and 2005, this article analyzed the spatial-temporal characteristics and driving factors of the land use change in Shunyi district by GIS technology and logistic regression analysis method. The result showed that transformation among different land use was dramatically changed from 1999 to 2005, such as the increase of construction land and the decrease of cultivated land and water area. Land transfer was mainly cultivated land to construction land, forest land, garden land, other land use; forest land to grass land and water area to cultivated land. The area of land changed from cultivated land to construction land was 14250.2hm2, and the ratio of the change is 20.09%; the changed land area from forest land to grass land was 887.6hm2 with 17.85% of changed ratio; the transformation area from water area to agricultural land was 1099.7hm2 and 23.75% of transformation ratio. The development of secondary and tertiary industry is the major driving factor of land use change from cultivated land to construction land, while the major reason for the changes from forest land to grass land and from water area to cultivated land was that the Caobai river has been dried up.

scholarly journals Evaluation of Urban Ecosystem Service Value under New Urbanization—A Case Study of Chengdu City

2020 ◽  
Vol 165 ◽  
pp. 02028
Author(s):  
Yi Luo ◽  
Shuang Liu ◽  
Cheng Zhang ◽  
Ruiying Ning ◽  
Jiajin Zhou
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Ecosystem Service ◽  
Cultivated Land ◽  
Ecosystem Service Value ◽  
Construction Land ◽  
Service Value ◽  
Land Use Structure ◽  
Unused Land ◽  
The Impact

In order to evaluate the change of ecosystem service value in Chengdu, GIS technology was used to obtain the land use type data of Chengdu from 2009 to 2018. The equivalent factor method was used as the core evaluation method, and an ecosystem value evaluation model was established to explore the impact of various land use types on ecosystem service value. The results show that: (1) the trend of land use change is that both the area and the proportion of land use change in different degrees. The area of cultivated land, water area and unused land are greatly reduced, and the area of construction land expands rapidly, mainly through the occupation of cultivated land and unused land. (2) The intensity of land use in Chengdu is greater and continues to increase, and the contribution rate of construction land is larger, which indicates that the land use structure is developing towards the structural direction of mainly construction land. (3) Changes in ecosystem service value are not only related to land use structure, but also to the economic development, willingness to pay and ability of the whole society. (4) Ecosystem service value is negatively correlated with construction land and unused land; it is positively correlated with cultivated land, forest land and grassland. Generally speaking, Chengdu’s land use change has not caused obvious damage to the ecosystem, but the impact of human lifestyle on the environment in the process of economic development cannot be ignored. The growth of construction land area should be appropriately controlled, ecological land should be protected, and the sustainable development of social-economic-ecological benefits should be realized.

scholarly journals Relating Land Use/Cover and Landscape Pattern to the Water Quality under the Simulation of SWAT in a Reservoir Basin, Southeast China

2021 ◽  
Vol 13 (19) ◽  
pp. 11067
Author(s):  
Kaige Lei ◽  
Yifan Wu ◽  
Feng Li ◽  
Jiayu Yang ◽  
Mingtao Xiang ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Google Earth ◽  
Landscape Patterns ◽  
Buffer Size ◽  
Construction Land ◽  
Drinking Water Standard ◽  
Reservoir Basin ◽  
The Impact ◽  
Cover Pattern

Understanding the relationship between land use/cover pattern and water quality could provide guidelines for non-point source pollution and facilitate sustainable development. The previous studies mainly relate the land use/cover of the entire region to the water quality at the monitoring sites, but the water quality at monitoring sites did not totally reflect the water environment of the entire basin. In this study, the land use/cover was monitored on Google Earth Engine in Tang-Pu Reservoir basin, China. In order to reflect the water quality of the whole study area, the spatial distribution of the determinants for water quality there, i.e., the total nitrogen and total phosphorus (TN&TP), were simulated by the Soil and Water Assessment Tool (SWAT). The redundancy analysis explored the correlations between land use/cover pattern and simulated TN&TP. The results showed that: (1) From 2009 to 2019, forest was the dominant land cover, and there was little land use/cover change. The landscape fragmentation increased, and the connectivity decreased. (2) About 25% TP concentrations and nearly all the TN concentrations at the monitoring points did not reach drinking water standard, which means nitrogen and phosphorus pollution were the most serious problems. The highest output per unit TN&TP simulated by SWAT were 44.50 kg/hm2 and 9.51 kg/hm2 and occurred in areas with highly fragile landscape patterns. (3) TN&TP correlated positively with cultivated and construction land but negatively with forest. The correlation between forest and TN&TP summited at 500–700-m buffer and construction land at 100-m buffer. As the buffer size increased, the correlation between the cultivated land, and the TN weakened, while the correlation with the TP increased. TN&TP correlated positively with the Shannon’s Diversity Index and negatively with the Contagion Index. This study provides a new perspective for exporting the impact of land use/cover pattern on water quality.

scholarly journals Estimation of ecosystem services value based on land use and cover change information derived from remote sensing data

2020 ◽  
Vol 198 ◽  
pp. 04026
Author(s):  
Liyan Wang ◽  
Chao Chen ◽  
Kai Wang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Ecosystem Services ◽  
Quantitative Estimation ◽  
Research Area ◽  
Cultivated Land ◽  
Land Area ◽  
Construction Land ◽  
Ecosystem Services Value ◽  
Land Use And Cover

It is an effective method to study the value change of ecological services based on land use and cover change information. This paper analyzed the land use and cover change information in the research area, which is based on the remote sensing images and social statistics data of 2005, 2010, and 2015, and then, quantitative estimation of the ecosystem service value was performed. Yangtze-Huaihe river basin, China is a fragile ecological area, which is selected as the research area. During 2005-2015, the area of cultivated land and construction land was the main land use types in the study area, the land use and cover change in the study area were obvious, which was characterized by the increasing of construction land area and the decreasing of cultivated land area, and the total ecosystem services value in the research area has been decreasing continuously, the value from 34.376 billion yuan in 2005 to 26.161 billion yuan in 2015.

scholarly journals Investigation of the Impact of Land-Use Distribution on PM2.5 in Weifang: Seasonal Variations

2020 ◽  
Vol 17 (14) ◽  
pp. 5135
Author(s):  
Chengming Li ◽  
Kuo Zhang ◽  
Zhaoxin Dai ◽  
Zhaoting Ma ◽  
Xiaoli Liu
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Air Quality ◽  
Nonlinear Effects ◽  
Policy Implications ◽  
Effective Control ◽  
Boosted Regression Tree ◽  
Construction Land ◽  
The Impact ◽  
Effects Of Land Use

As air pollution becomes highly focused in China, the accurate identification of its influencing factors is critical for achieving effective control and targeted environmental governance. Land-use distribution is one of the key factors affecting air quality, and research on the impact of land-use distribution on air pollution has drawn wide attention. However, considerable studies have mostly used linear regression models, which fail to capture the nonlinear effects of land-use distribution on PM2.5 (fine particulate matter with a diameter less than or equal to 2.5 microns) and to show how impacts on PM2.5 vary with land-use magnitudes. In addition, related studies have generally focused on annual analyses, ignoring the seasonal variability of the impact of land-use distribution on PM2.5, thus leading to possible estimation biases for PM2.5. This study was designed to address these issues and assess the impacts of land-use distribution on PM2.5 in Weifang, China. A machine learning statistical model, the boosted regression tree (BRT), was applied to measure nonlinear effects of land-use distribution on PM2.5, capture how land-use magnitude impacts PM2.5 across different seasons, and explore the policy implications for urban planning. The main conclusions are that the air quality will significantly improve with an increase in grassland and forest area, especially below 8% and 20%, respectively. When the distribution of construction land is greater than around 10%, the PM2.5 pollution can be seriously substantially increased with the increment of their areas. The impact of gardens and farmland presents seasonal characteristics. It is noted that as the weather becomes colder, the inhibitory effect of vegetation distribution on the PM2.5 concentration gradually decreases, while the positive impacts of artificial surface distributions, such as construction land and roads, are aggravated because leaves drop off in autumn (September–November) and winter (December–February). According to the findings of this study, it is recommended that Weifang should strengthen pollution control in winter, for instance, expand the coverage areas of evergreen vegetation like Pinus bungeana Zucc. and Euonymus japonicus Thunb, and increase the width and numbers of branches connecting different main roads. The findings also provide quantitative and optimal land-use planning and strategies to minimize PM2.5 pollution, referring to the status of regional urbanization and greening construction.

scholarly journals Influence of the Land Use Type on the Wild Plant Diversity

Plants ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 602
Author(s):  
Ina Aneva ◽  
Petar Zhelev ◽  
Simeon Lukanov ◽  
Mariya Peneva ◽  
Kiril Vassilev ◽  
...  
Keyword(s):  
Land Use ◽  
Plant Diversity ◽  
Tree Cover ◽  
Wild Plant ◽  
Species Number ◽  
Land Use Type ◽  
Grazing Land ◽  
Land Use Types ◽  
Bioclimatic Variables ◽  
The Impact

Studies on the impact of agricultural practices on plant diversity provide important information for policy makers and the conservation of the environment. The aim of the present work was to evaluate wild plant diversity across the agroecosystems in two contrasting regions of Bulgaria; Pazardzhik-Plovdiv (representing agroecosystems in the lowlands) and Western Stara Planina (the Balkan Mountains, representing agroecosystems in the foothills of the mountains). This study conducted a two-year assessment of plant diversity in different types of agricultural and forest ecosystems, representing more than 30 land use types. Plant diversity, measured by species number, was affected by the land use type only in Pazardzhik-Plovdiv region. More pronounced was the effect of the groups of land use types on the diversity, measured by the mean species number per scoring plot. Climatic conditions, measured by 19 bioclimatic variables, were the most important factor affecting plant species diversity. Six bioclimatic variables had a significant effect on the plant diversity, and the effect was more pronounced when the analysis considered pooled data of the two regions. The highest plant diversity was found on grazing land with sparse tree cover, while the lowest one was in the land use types representing annual crops or fallow. The study also established a database on weed species, relevant to agriculture. A number of common weeds were found in the Pazardzhik-Plovdiv region, while the most frequent species in the Western Stara Planina region were indigenous ones. Overall, the natural flora of Western Stara Planina was more conserved; eleven orchid species with conservation significance were found in the pastures and meadows in that region. The present study is the first attempt in Bulgaria to characterize the plant diversity across diverse agroecosystems representing many different land use types and environmental conditions. The results can contribute to nature conservation, biodiversity, and the sustainable use of plant resources.

scholarly journals Spatial Differentiation of Non-Grain Production on Cultivated Land and Its Driving Factors in Coastal China

2021 ◽  
Vol 13 (23) ◽  
pp. 13064
Author(s):  
Yan Sun ◽  
Yuanyuan Chang ◽  
Junna Liu ◽  
Xiaoping Ge ◽  
Gang-Jun Liu ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Heterogeneity ◽  
Spatial Differentiation ◽  
Driving Factors ◽  
Cultivated Land ◽  
Grain Production ◽  
Land Area ◽  
Bottom Line ◽  
Land Transfer ◽  
Coastal China

The rapid development of urbanization and industrialization in coastal China in the past 20 years has exerted a huge squeezing effect on agricultural land use. The phenomenon of non-grain production on cultivated land (NGP) is very common, seriously threatening the protection of high-quality arable land and national food security. In order to find out the overall situation regarding NGP on cultivated land in coastal China, this study revealed the spatial differentiation of NGP and its main driving factors by spatial autocorrelation analysis, multiple linear regression models and geographically weighted regression analysis (GWR). The results show that: (1) in 2018, the non-grain cultivated land area of 11 provinces along the coast of China was about 15.82 × 106 hm2, accounting for 33.65% of the total cultivated land area. (2) The NGP rate in 11 provinces gradually decreased from south to north, but the NGP area showed two peak centers in Guangxi province and Shandong province, then decreased gradually outwards. (3) The low economic benefit of the planting industry (per capita GDP and urban-to-rural disposable income ratio) was the most important driving force, leading to the spatial differentiation of NGP, while the number of rural laborers and land transfer areas also acted as the main driving factors for the spatial differentiation of NGP. However, the influence of each driving factor has obvious spatial heterogeneity. The non-grained area and the non-grain production rate at the municipal level were completely different from those at the provincial level, and the spatial heterogeneity was more prominent. In the future, the local government should control the disorganized spread of NGP, scientifically set the bottom line of NGP, reduce the external pressure of NGP, regulate multi-party land transfer behavior, and strengthen land-use responsibilities. This study can provide a scientific foundation for adjusting land-use planning and cultivated land protection policies in China and other developing countries.

Sign in / Sign up

Export Citation Format

Share Document