Spatio-temporal evolution of Ecologically-sustainable land use in China’s Loess Plateau and detection of its influencing factors

The abandonment and cultivation of croplands in the Eurasian Steppe has become the focus of global and regional food security and agricultural policy-making. A large area of cropland in some post-Soviet countries has proven to be abandoned with the disintegration of the Soviet Union; however, it is unclear as to whether Kazakhstan also experienced a similar change as one of the main food providers for the former Soviet Union. In this study, we used the annual land cover dataset (1992–2015) from the European Space Agency, Climate Change Initiative (ESA-CCI) to detect spatio-temporal characteristics of rainfed and irrigated cropland changes in Kazakhstan. The Mann–Kendall test and regime shift analysis showed that rainfed and irrigated cropland at national level had a significant increasing trend with a significant rising up to 1999 and stagnation during 2000–2015, which was further confirmed with analysis at 14 regions. The greatest contributor to rainfed and irrigated croplands was steppes, followed by shrinkage of water bodies since 2005 to a great extent, rapid urbanization process resulted in losses of a part of irrigated oases. The trend surface analysis indicated that reorganized stable pattern characterized by rainfed cropland in north and irrigated cropland in south was driven by the strategy of the gradual agricultural development of oases. The nonexistence of cycle between the abandonment and recultivation proved that newly-gained cropland from steppe may be less degraded and more productive for sustainable land use in Kazakhstan. In conclusion, this study can provide strong evidence for sustainable land use and a basis for food security policy-making in Kazakhstan, and even all of the Central Asian countries in the future.

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Spatio-temporal evolution of meat production in China's counties and its influencing factors

自然资源学报 ◽

10.31497/zrzyxb.20210511 ◽

2021 ◽

Vol 36 (5) ◽

pp. 1224

Author(s):

Fan LI ◽

Wen-li QIANG ◽

Xiao-jie LIU ◽

Shu-wen NIU ◽

Qin-yao ZHU ◽

...

Keyword(s):

Influencing Factors ◽

Temporal Evolution ◽

Meat Production ◽

Spatio Temporal

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Land Economic Efficiency and Improvement of Environmental Pollution in the Process of Sustainable Urbanization: Case of Eastern China

Land ◽

10.3390/land10080845 ◽

2021 ◽

Vol 10 (8) ◽

pp. 845

Author(s):

Binbin Chang ◽

Lei Chen

Keyword(s):

Land Use ◽

Environmental Pollution ◽

Carbon Emissions ◽

Temporal Evolution ◽

Eastern China ◽

Land Resources ◽

Land Use Efficiency ◽

Use Efficiency ◽

Spatio Temporal ◽

Land Economic

Economic development, environmental protection and land resources are important components in sustainable cities. According to the environmental Kuznets curve, developing countries are prone to environmental pollution problems while developing their economies. At the same time, as urbanization progresses, the problem of inadequate land resources and land use efficiency in China is coming to the fore. Although China is a developing country, it began to actively implement environmental protection measures years ago in an effort to transform itself into an innovative country. Therefore, as an economic and policy pioneer region, can eastern China benefit from all three aspects of land–economy–environment at the same time? Or will the increase in land economic efficiency (Land_EcoE) and the improvement of environmental pollution occur simultaneously? With the characteristics of land use efficiency and other concepts, this study combines economic factors and land factors to establish a Land_EcoE evaluation system. On the basis of mapping the spatio-temporal evolution of carbon emissions and Land_EcoE, and discussing the spatio-temporal evolution characteristics and correlation between them initially and visually by means of geographic data visualization, this study uses the data of 84 prefecture-level cities and municipalities directly under the central government in eastern China from 2011 to 2017 to test the research hypotheses from a quantitative perspective. Specifically, this study analyzes the correlation between Land_EcoE and environmental pollution by constructing a panel regression model. The conclusions show that, in general, the increase in Land_EcoE in eastern China is associated with the increase in carbon emissions. For a group of prefecture-level cities with the most developed economies in eastern China, the increase in Land_EcoE is correlated with the decrease in carbon emissions. Based on this research, this study proposes a series of policy implications on how to promote simultaneous economic–land–environmental benefits.

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Impact of Settlement Growth on Yenagoa’s Urban Environment

European Journal of Environment and Earth Sciences ◽

10.24018/ejgeo.2021.2.1.107 ◽

2021 ◽

Vol 2 (1) ◽

pp. 24-29

Author(s):

E. E. Imaitor-Uku ◽

O. B. Owei ◽

L. Hart ◽

A. Ayotamuno

Keyword(s):

Land Use ◽

Urban Environment ◽

Sustainable Land Use ◽

Mapping Technique ◽

Citizen Education ◽

Management Framework ◽

Urban Planning And Development ◽

Spatio Temporal ◽

The City ◽

Settlement Growth

This research is a study on the assessment of settlement growth and its impact on the urban environment in Yenagoa Metropolis. Landsat imageries of 1988, 1996, 2004, 2012 and 2020 were acquired from the United Sates Geographical Survey. Supervised image classifications using level 1 classification scheme was adopted to extract LandUse/LandCover. The five Epochs of images were used to extract the built-up areas, water bodies and vegetation areas. The area (ha) of land use for each epoch was determined using clipping images. The spatio-temporal changes were determined as a percentage of LULC per epoch and which was done following standard methods. Mapping technique was used to compare satellite imageries. Findings showed that built up areas was 1,279.81 in 1988, 2,497.87 in 1996, 4,554.73 in 2009, 7,804.30 in 2012 and 10,447.50 in 2020. While the percentage change of built-up are in 1988 was 6.12%, 1996 was 11.94%, 2004 was 21.78%, 2012 was 34.31% and 2020 was 30.09%, respectively. It is therefore recommended here that government should empower urban planning and development agencies, legally and financially to carry out their responsibility to implement existing master plan of the city. Engage in citizen education on how to contribute in managing the environment and sustainable land use management framework in the study area for proper management of the urban environment to enhance sustained settlement growth in the city.

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Land-use change in Changli County, China: Predicting its spatio-temporal evolution in habitat quality

Ecological Indicators ◽

10.1016/j.ecolind.2020.106719 ◽

2020 ◽

Vol 117 ◽

pp. 106719

Author(s):

Feng Tang ◽

Meichen Fu ◽

Li Wang ◽

Pengtao Zhang

Keyword(s):

Land Use ◽

Land Use Change ◽

Habitat Quality ◽

Temporal Evolution ◽

Spatio Temporal

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Evolution and Influencing Factors of Township Spatial Form: A Two-Dimensional Perspective

Complexity ◽

10.1155/2020/5617545 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Yanpeng Gao ◽

Wenjun Chen

Keyword(s):

Land Use ◽

Influencing Factors ◽

Temporal Evolution ◽

Morphological Changes ◽

Fractal Theory ◽

Center Of Gravity ◽

Expansion Rate ◽

Rural Settlements ◽

Spatial Form ◽

Maximum Expansion

The countryside is the habitat of food, ecology, and culture, and the indispensable basis for human survival and development. Assessing the spatial and temporal evolution of rural settlements contributes to the promotion of rural scientific developments. This study used the fractal theory, center-of-gravity model, and spatial syntax to analyze the spatial and temporal evolution of Shenyang Ciyutuo Subdistrict and its influencing factors based on geospatial data from 2009‒2019, from the perspectives of internal characteristics and external morphological changes. In terms of the external characteristics, from 2009‒2019, the compactness index increased from 0.414 to 0.454, the expansion rate increased from 1.17% to 3.11%, and the expansion intensity increased from 0.05% to 0.15%. From 2014‒2019, the western part of the subdistrict experienced the maximum expansion rate and expansion intensity. The center-of-gravity of the construction land shifted to the west and southwest. The internal characteristics of land use depended on geographical conditions. Clusters of rural settlements were formed in a north-south direction due to the topography and along the riverside in a band-like manner. From 2009‒2019, the integration level of the subdistrict improved and the scale and number of integration axis increased, forming a multicore tree-shaped structure. Pearson’s correlation analysis showed that urbanization is the main factor affecting the spatial and temporal land-use evolution, with transportation convenience, industrial park, and proximity to the river having little effects. This study provides a theoretical basis for the development of Ciyutuo Subdistrict and provides a reference for the development of similar commercial towns.

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