The dynamic mechanism of landscape structure change of arable landscape system in China

Jiang, Penghui; Cheng, Qianwen; Zhuang, Zhuzhou; Tang, Hui; Li, Manchun; Cheng, Liang; Xiang, Jin

doi:10.1016/j.agee.2017.09.006

Cited by 33 publications

(17 citation statements)

References 40 publications

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“…Soil types vary in different regions because of environmental heterogeneity. Traditional regression analysis has limitations in reflecting spatial constraints, whereas the geographically weighted regression (GWR) model can overcome such problems by considering locations [ 10 , 33 , 34 ]. GWR model is a local linear regression method and can generate local parameters to reflect spatial differences, including local R 2 , local model residual, and local coefficient.…”

Section: Methodsmentioning

confidence: 99%

Impacts of Urban Sprawl on Soil Resources in the Changchun–Jilin Economic Zone, China, 2000–2015

Yang

Ren

et al. 2018

IJERPH

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The Changchun–Jilin Economic Zone (CJEZ) is one of the most rapidly developing areas in Northeast China, as well as one of the famous golden maize belts in the world. This is a case study to assess the impacts of urban sprawl on soil resources using remote sensing imagery and geographic spatial analysis methods. The common urbanization intensity index (CUII), soil quality index, and soil landscape metrics were calculated to reflect urbanization and the response of soil resource. Results showed that the area of soil sealing changed from 112,460 ha in 2000 to 139,233 ha in 2015, and in the rural region, the area occupied by urbanization nearly kept balance with the area of rural residential expansion. Urban land increased by 26,767 ha at an annual rate of 3.23% from 2000 to 2015. All seven soil types were occupied during the urbanization process, among which black soil ranked the highest (18,560 ha) and accounted for 69.34% of the total occupied area. Soils of Grades I (3927 ha) and II (15,016 ha) were 64.75% of the total occupied soil areas. Urban land expanded in an irregular shape and a disordered way, which led to an increasing large patch index (LPI) and aggregation index (AI), and a decreasing edge density (ED) and Shannon’s diversity index (SHDI) of the soil landscape in the study area during 2000–2015. According to the geographically weighted regression (GWR) model analysis, the R2 between the CUII and soil landscape metrics decreased from the LPI and ED to SHDI and in turn to AI. The local R2 between SHDI, ED, and CUII showed a gradient structure from the inner city to peri-urban areas, in which larger values appeared with strongly intensive urbanization in urban fringes. Soil sealing induced by urbanization has become a significant factor threatening soil, the environment, and food security. How to coordinate regional development and ensure the sustainability of the multiple functions of soil is a problem that needs to be taken into account in the future development of the region.

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Section: Methodsmentioning

confidence: 99%

Impacts of Urban Sprawl on Soil Resources in the Changchun–Jilin Economic Zone, China, 2000–2015

Yang

Ren

et al. 2018

IJERPH

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“…Liu et al (2002), the dataset is divided into six primary land use types, that is, cultivated land, forest, grassland, water body, built-up, and unused lands according to land resources and use attribute. The CLUD dataset has good accuracy and applicability in many case studies (Jiang et al, 2018;Kuang et al, 2016;W. Song & Deng, 2017).…”

Section: Data Descriptionmentioning

confidence: 99%

“…According to the national land use classification method, and combined with the LUCC classification system established by J. Liu et al (2002), the dataset is divided into six primary land use types, that is, cultivated land, forest, grassland, water body, built‐up, and unused lands according to land resources and use attribute. The CLUD dataset has good accuracy and applicability in many case studies (Jiang et al, 2018; Kuang et al, 2016; W. Song & Deng, 2017). Considering the permanent glacier‐snow has a great influence on the landscape pattern in the plateau mountainous area, this secondary land use type was extracted from the primary land use type of water body as a primary land use type.…”

Section: Study Area and Data Descriptionmentioning

confidence: 99%

Dynamic changes of land use/cover and landscape pattern in a typical alpine river basin of theQinghai‐TibetPlateau, China

Zuo

et al. 2021

Land Degrad Dev

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Landscape heterogeneity is a comprehensive reflection of spatial patch and gradient, which is an important feature of landscape pattern. The China land use/cover dataset (CLUD) with 1 km spatial resolution was used in this study to investigate the dynamic changes of land use/cover in the Yarlung Tsangpo River basin (YTRB) of China from 1980 to 2015 through the land use transition matrix and dynamic degrees. The semivariogram model of the study area was constructed at different scales to determine the landscape characteristic scale of the YTRB. The traditional landscape index method and moving window method were used to investigate the watershed landscape pattern at the class and landscape levels, respectively. The results showed that the overall change in land use over the YTRB was not significant during the period 1980-2015, whereas the relative change in each type of land use was significant. Permanent glacier-snow significantly degraded by 22.72%, while built-up areas increased by 106.38%. The degree of the landscape fragmentation and diversity gradually increased from upstream to downstream. The unused land has the highest degree of fragmentation, and the agglomeration degree of urban land patches increased. The result of land use dynamic degree indicated that natural factors were the main causes of changes in land use during the first sub-period 1980-2000, while human activities were the major drivers of changes in land use during the second sub-period 2000-2015. The results can provide important information on the impact of regional development and environmental governance policies on the changes in land use/cover and landscape in Tibet.

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“…Combining ecological restoration with measures to provide sustainable livelihood for residents in the project areas can achieve the win-win goal of ecological restoration and poverty alleviation (Cao et al 2020). The rapid urbanization, with a large increase in construction land area, is the core dynamic mechanism of the landscape structure change of farmland landscape system (Jiang et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Transformation of Rural Landscape Patterns in Southwest China's Mountain: A Case Study Based on the Three Gorges Reservoir Area

Li¹,

Xie²,

Li³

2021

Preprint

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Since the 21st century, China's rural areas have experienced far-reaching social and economic transformation. Studying the evolution and transformation of rural land use landscape pattern under this background is of great significance to reveal the evolution of human-land relationship in China’s mountains and explore the rural revitalization path. Based on the study of land use change and transition, we put forward the theoretical framework of landscape pattern transition, and establish the rural landscape pattern transformation model of mountain area in southwest China by use of high resolution remote sensing images and field investigation. The results show that: (1) The focus of landscape pattern transformation in the case region is mainly embodied in the reduction of cultivated land, the expansion of orchard and the restoration of woodland. There are obvious differences in landscape pattern transition among different terrain areas in the case region. (2) From 2000 to 2018, the landscape types in the valleys of the study area were gradually diversified, there was a concentration of intensive land use types, and the landscape types in mountainous and hilly area were gradually simplified, and forest land was restored. (3) On the whole, the landscape pattern of the study area has changed from production-oriented landscape pattern to eco-economic landscape pattern and eco-regulatory landscape pattern. The results of case study show that the rural landscape pattern in the mountainous areas of Southwest China has undergone a transformation under the background of land use transformation, which has its own particularity, and verifies the theoretical hypothesis proposed in this paper, so it is necessary to conduct a systematic and in-depth study on this. The theories and methods of this paper are helpful to understand the process of landscape pattern transition in mountainous areas, and provide reference value for the rational use of land resources, ecological management and rural revitalization in similar mountainous areas.

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The dynamic mechanism of landscape structure change of arable landscape system in China

Cited by 33 publications

References 40 publications

Impacts of Urban Sprawl on Soil Resources in the Changchun–Jilin Economic Zone, China, 2000–2015

Impacts of Urban Sprawl on Soil Resources in the Changchun–Jilin Economic Zone, China, 2000–2015

Dynamic changes of land use/cover and landscape pattern in a typical alpine river basin of theQinghai‐TibetPlateau, China

Transformation of Rural Landscape Patterns in Southwest China's Mountain: A Case Study Based on the Three Gorges Reservoir Area

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