A new grading system for evaluating China's cultivated land quality

Liu, Liming; Zhou, De; Chang, Xiao; Lin, Zhulu

doi:10.1002/ldr.3547

Cited by 58 publications

(62 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Population growth, accelerated urbanization, and changing consumption structure have challenged the ability of the land to satisfy increasing demands for food, energy, and ecological environments (Liu et al, 2020), which also bring ecological risks (Baffoe & Matsuda, 2018). Ecological risk means that the normal functions of the population, ecosystem, or the entire landscape are subjected to external stress, and the health, productivity, genetic structure, economic value, and aesthetic value of certain elements within the system or itself are reduced (Wang et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the landscape ecological risk based on GIS: A case‐study in the Poyang Lake region of China

et al. 2021

View full text Add to dashboard Cite

Influenced by human activities, the largest freshwater lake in China, Poyang Lake is suffering from landscape degradation and increased ecological risks. However, the specific landscape ecological risk in Poyang Lake region remains unknown. The impact of land use change on landscape pattern and ecological risk around Poyang Lake has not been revealed. In order to analyze the spatio-temporal distribution characteristics of landscape ecological risk in Poyang Lake region, this study constructed a landscape ecological risk index model based on GIS, geostatistics, and landscape ecology theory. The results show that: (a) all land use types in Poyang Lake region had been changed during the period 2010-2018. While large tracts of farmland and woodland were converted into construction land, farmland and woodland have seen the largest decrease and construction land has increased greatly. (b) On the whole, the low and medium-low landscape ecological risk area accounted for about 60% of the total area, while high and medium-high risk area increased during 2010-2018. The landscape ecological risk has seen a downward trend with increased low and medium-low ecological risk areas during 2010-2018. Spatially, ecological risk in the core waters of Poyang Lake was higher, while in the surrounding waters was lower. (c) The landscape ecological risk in Poyang Lake Region in each period shown positive spatial correlation and tended to be spatially agglomerative. The high-high risk clusters were mainly located in the core waters of the Lake area, while the low-low risk clusters were mainly located far away from the core waters, including county and city areas. (d) In 2018, farmland, woodland, grassland, and unutilized land were dominated by medium and medium low risk, the landscape ecological risk in the water area was the highest, and that of construction land was the lowest. The decrease rate of ERI in water areas was the largest, indicating that the change of water area contributed the most to the reduction of landscape ecological risk. During the process of ecological risk management in Poyang Lake Region, attention should be paid to the changes of the water area's structure and quality.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluating the landscape ecological risk based on GIS: A case‐study in the Poyang Lake region of China

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The optimal gradation and assignment of each indicator lies in a value of 100 points, with the worst value being 60 points, and the others referring to the classification standards of cultivated land quality in the northeast reported in "Cultivated Land Quality Gradation" (GB/T 33469-2016), "Agricultural Land Quality Gradation Regulations" (GB/T 28407-2012), and the gradation and assignment methods described in related studies [67][68][69]. The value was assigned in accordance with the degree of impact of indicators on soil functions and adjusted based on the foundation of the actual situation of the study area.…”

Section: Evaluation Indicator Gradation Systemmentioning

confidence: 99%

Cultivated Land Use Zoning Based on Soil Function Evaluation from the Perspective of Black Soil Protection

Zhao

et al. 2021

Land

View full text Add to dashboard Cite

Given that cultivated land serves as a strategic resource to ensure national food security, blind emphasis on improvement of food production capacity can lead to soil overutilization and impair other soil functions. Therefore, we took Heilongjiang province as an example to conduct a multi-functional evaluation of soil at the provincial scale. A combination of soil, climate, topography, land use, and remote sensing data were used to evaluate the functions of primary productivity, provision and cycling of nutrients, provision of functional and intrinsic biodiversity, water purification and regulation, and carbon sequestration and regulation of cultivated land in 2018. We designed a soil function discriminant matrix, constructed the supply-demand ratio, and evaluated the current status of supply and demand of soil functions. Soil functions demonstrated a distribution pattern of high grade in the northeast and low grade in the southwest, mostly in second-level areas. The actual supply of primary productivity functions in 71.32% of the region cannot meet the current needs of the population. The dominant function of soil in 34.89% of the area is water purification and regulation, and most of the cultivated land belongs to the functional balance region. The results presented herein provide a theoretical basis for optimization of land patterns and improvement of cultivated land use management on a large scale, and is of great significance to the sustainable use of black soil resources and improvement of comprehensive benefits.

show abstract

“…The quality of cultivated land is determined by the combined actions of natural, social, and economic factors [40]. According to the previous research, soil properties such as soil texture, salinization, soil organic matter, and the relevant cultivated land soil basic conditions are major factors influencing the fertility of a cultivated land [41] and the foundation for the high yield and high efficiency of cultivated land and important aspects of the quality evaluation [42,43]. The soil property dimensions in this research mainly include the physical and chemical properties and nutrient status of the soil.…”

Section: The Construction Of An Index System and Identification Of Weightsmentioning

confidence: 99%

“…The cultivated land quality grade evaluation provides evidence for the orderly delineation of permanent basic farmland, cultivated land occupation or protection compensation, and computation of land expropriation compensation. Meanwhile, land use planning and land reclamation planning can carry out differentiated management for cultivated land in terms of the spatial distribution of the cultivated land quality grade [43]. The research not only quantifies the quality of the cultivated land and three dimensions but also describes the spatial distribution pattern of the cultivated land and three dimensions quality grades, indicating the quality of the cultivated land and its difference in a more multidimensional way.…”

Section: The Construction Of the Evaluation Index Systemmentioning

confidence: 99%

The Spatial Distribution Characteristics of the Cultivated Land Quality in the Diluvial Fan Terrain of the Arid Region: A Case Study of Jimsar County, Xinjiang, China

Sheng

Liu

et al. 2021

Land

View full text Add to dashboard Cite

Environmental constraints are not only important aspects that affect the cultivated land quality but also necessary factors that shall be considered when evaluating the cultivated land quality scientifically. Moreover, identifying the quality condition of cultivated land accurately is the premise for guaranteeing food security. Based on the case study of diluvial fan terrain in Jimsar County, Xinjiang in the arid region of Northwest China, this study utilizes a geographic information system spatial analysis and a multifactor comprehensive evaluation method and constructs a comprehensive evaluation index system for cultivated land quality on account of three dimensions, namely soil properties, farming conditions, and natural environmental conditions. To reduce the Modifiable Areal Unit Problem (MAUP) effect and improve the accuracy of the quality evaluation results of cultivated land, this study compares the spatial interpolation methods of Inverse Distance Weighted Matrix (IDW), Ordinary Kriging (OK), and Spline Functions (Spline) based on different cultivated land evaluation units. Through the assessment on the comparison results, we finally adopted large-scale cultivated land as the quality evaluation unit of cultivated land and Ordinary Kriging (OK) as the spatial interpolation method. The results indicated that the average grade of the quality index of cultivated land in the diluvial fan terrain of Jimsar County is 6.66 at the middle or lower level; the quality of cultivated land and natural environment conditions reduce with the rise of elevation of the diluvial fan terrain, indicating a vertical zonality differentiation rule; the farming conditions keep sliding from the middle part of diluvial fan terrain to the edge of the diluvial fan terrain and the piedmont slope. The major factors affecting the quality of the cultivated land include the soil capacity, soil pH, soil organic matter, the quantity of straw returning to the field, source of irrigation water, water delivery method, part of the diluvial fan, groundwater level depth, and geomorphic type. Therefore, the measures to improve the quality of the cultivated land are put forward, mainly including improving the soil, carrying out land consolidation projects, and developing highly efficient water-saving irrigation agriculture. This study provides favorable references and directions for the sustainable utilization and quality improvement of cultivated land resources in arid regions.

show abstract

A new grading system for evaluating China's cultivated land quality

Cited by 58 publications

References 44 publications

Evaluating the landscape ecological risk based on GIS: A case‐study in the Poyang Lake region of China

Evaluating the landscape ecological risk based on GIS: A case‐study in the Poyang Lake region of China

Cultivated Land Use Zoning Based on Soil Function Evaluation from the Perspective of Black Soil Protection

The Spatial Distribution Characteristics of the Cultivated Land Quality in the Diluvial Fan Terrain of the Arid Region: A Case Study of Jimsar County, Xinjiang, China

Contact Info

Product

Resources

About