Assessment of Land-Use and Land-Cover Change in Guangxi, China

Hu, Yuanman; Batunacun,; Zhen, Lin; Zhuang, Dafang

doi:10.1038/s41598-019-38487-w

Cited by 100 publications

(56 citation statements)

References 64 publications

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“…To reveal the spatial and temporal characteristics of LULCC, a transition matrix was used to describe the scale of LULCC in two periods, from 1990 to 2000 and from 2000 to 2010. The transition matrix not only expresses the pattern and composition of land use in different periods but also reflects the direction of the transition between different types during the study period [48][49][50]. In this study, the LULCC transition matrix of the Loess Plateau was established for different periods, and the gains and losses were calculated based on the LULCC transition matrix.…”

Section: Analyzing Lulcc In the Loess Plateau Since 1990mentioning

confidence: 99%

“…In this study, the LULCC transition matrix of the Loess Plateau was established for different periods, and the gains and losses were calculated based on the LULCC transition matrix. A gain in one type of land use and land cover was equivalent to the increase in this type, while a loss in one type of land use and land cover is the amount of this type that was converted to other types during the study period [49,51].…”

Section: Analyzing Lulcc In the Loess Plateau Since 1990mentioning

confidence: 99%

“…The Markov chain model is one of the common methods used to simulate the scale and trend of LULCC [52][53][54], which reflects the process of land use and land cover undergoing transitions from one status to another [55,56]. It can explain the transition possibilities between different types of land use and land cover and predict the possible quantity and changes of each type in the future according to the transition possibilities [49,57].…”

Section: Description Of the Markov Chainmentioning

confidence: 99%

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Quantitatively Assessing and Attributing Land Use and Land Cover Changes on China’s Loess Plateau

Zhao

Liang

et al. 2020

Remote Sensing

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The global land surface cover is undergoing extensive changes in the context of global change, especially in the Loess Plateau, where ecological restoration policies have been vigorously implemented since 2000. Evaluating the impact of these policies on land cover is of great significance for regional sustainable development. Nonetheless, there are few quantitative assessment studies of the impact of ecological restoration policies on land use and land cover change (LULCC). In this study, a relative contribution conceptual model (RCCM) was used to explore the contribution of the policies to LULCC under the influence of natural background change, which was based on the Markov chain and the future land use simulation (FLUS) model. The results show that LULCC is influenced by ecological restoration policies and the natural environment, of which the policies contribute about 72.37% and natural change contribute about 27.63%. Ecological restoration policies have a profound impact on LULCC, changing the original direction of LULCC greatly. Additionally, these policies regulate the pattern of LULCC by controlling the amount of cropland as a rebalanced leverage. These findings provide useful information for facilitating sustainable ecological development in the Loess Plateau and theoretically supporting environmental decision-making.

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Section: Analyzing Lulcc In the Loess Plateau Since 1990mentioning

confidence: 99%

Section: Analyzing Lulcc In the Loess Plateau Since 1990mentioning

confidence: 99%

Section: Description Of the Markov Chainmentioning

confidence: 99%

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Quantitatively Assessing and Attributing Land Use and Land Cover Changes on China’s Loess Plateau

Zhao

Liang

et al. 2020

Remote Sensing

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“…Land transformation matrix. The land change transformation matrix is used to quantitatively describe the number of land use type transformations in closed land systems 56 . The calculation formula of the change amount of a certain type of land transformation is as follows:…”

Section: Basic Supporting Datasetsmentioning

confidence: 99%

Spatial–temporal dynamics and driving factor analysis of urban ecological land in Zhuhai city, China

Zhang

2020

Sci Rep

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Ecological land is a type of land that has considerable ecological value. Understanding the evolution of urban ecological land in Zhuhai, China, holds great significance for revealing the evolution of ecological land in the Dawan District of southern China. We explored the temporal and spatial variation in urban ecological land in Zhuhai using the transformation matrix, equivalent ecological land, landscape index and ecological land center of gravity migration methods. Multivariate logistic regression was used to analyze the mechanism of ecological land change, and a transition probability map of the ecological land in the study area was drawn. The results showed the following. (1) From 1991 to 2018, the area of ecological land in Zhuhai city continuously decreased, with a reduction in area of 274.8 km2, or 32.3%. Sharp changes mainly occurred from 1991 to 2000. (2) The ecological land in the study area has gradually become fragmented, and the degree of landscape heterogeneity has increased. Affected by the expansion of the outer edge of the city to the southwest and the construction of ecological land within the city, the center of gravity of the ecological land has shifted to the northeast by 1346 m. (3) The elevation, slope, distance from built-up land and growth rate of built-up land are important factors influencing the transformation of ecological land. In the future, rivers and shallow coastal waters, tidal flats, and grasslands in the study area have the highest probability of transformation. The Jinwan District and Xiangzhou District will face severe ecological land protection pressure. The method of spatial–temporal analysis of urban ecological land developed in this paper can be applied in similar studies on other cities, and the results obtained for Zhuhai, China, have reference value for future urban planning and ecological protection work.

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“…The land use/ land cover patterns of a region are a result of natural and socio-economic factors and their utilization by humans in time and space (Rawat and Kumar, 2015). It is increasingly acknowledged that LULC changes have become a key subject that urgently needs to be addressed in the study of global environmental changes (Hu et al, 2019), because of major current environmental issues such as desertification, biodiversity loss and climate changes which in turn cause losses of related environmental services to such a degree that more than a half of the world's forest cover has been lost (FAO, 2010). Many activities of local people and government organizations i.e.…”

Section: Introduct3ionmentioning

confidence: 99%

Land Use/ Land Cover Change Detection in Baer and al- Bassit Region, Latakia, Syria during the Period of 1972- 2018

Merhej¹

2020

SJKFU

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Monitoring land use/ land cover (LULC) changes is important for assessing the dynamics between land cover types and understanding the anthropogenic impact on these changes, and remote sensing techniques represent important tools to achieve this goal. This paper aimed at mapping and analyzing LULC changes in Baer and al-Bassit region, Latakia governorate, Syria. For this goal 15 Landsat multi-temporal images during the period of 1972-2018 were used, and each image was classified using (Maximum Likelihood Algorithm) supervised classification into four categories of land use named: forests, agricultural land, water and urban areas. Accuracy assessment of all images was performed and the average values of the overall accuracy of the classification was (89%) and the average value of the Kappa index was (0.85). The area of each land use category was calculated in each LULC map and the trend of change among these categories was analyzed during the study period using linear regression analysis. Forest category was the only group that decreased by 21.8% between 1972 and 2018, compared to an increase in all other categories (0.6, 4.3 and 16.8 % for water, urban and agriculture, respectively) for the same period. This indicates conversion of forests into agricultural land and urban areas. The results of this study can be used as an efficient tool to manage and improve Baer and al-Bassit forests regarding physiographical and human characteristics and could facilitate the creation of a database for LULC changes in this region.

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Assessment of Land-Use and Land-Cover Change in Guangxi, China

Cited by 100 publications

References 64 publications

Quantitatively Assessing and Attributing Land Use and Land Cover Changes on China’s Loess Plateau

Quantitatively Assessing and Attributing Land Use and Land Cover Changes on China’s Loess Plateau

Spatial–temporal dynamics and driving factor analysis of urban ecological land in Zhuhai city, China

Land Use/ Land Cover Change Detection in Baer and al- Bassit Region, Latakia, Syria during the Period of 1972- 2018

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