System Cognition and Analytic Technology of Cultivated Land Quality from a Data Perspective

Tang, Huaizhi; Niu, Jiacheng; Niu, Zibing; Liu, Qi; Huang, Yuanfang; Wang, Yun; Shen, Chongyang; Huo, Zejun

doi:10.3390/land12010237

Cited by 9 publications

(6 citation statements)

References 32 publications

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“…Quality may be more important than quantity for grain production and cultivated land protection [54]. Therefore, we considered the quality data as the adjusted layer for cultivated land protection.…”

Section: Rules Of Growthmentioning

confidence: 99%

Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China

Zhu

Liu

et al. 2023

Land

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Previous allocations of new urban land were ineffective because they lacked synergy between quota and space, challenging the government planning authority. This study proposes a new and more reasonable urban land allocation method to guide the smart growth of cities. We used a logistic regression model and multisource data to explore the laws of urban growth and employed a cellular automata (CA) model to simulate this under inertial and constrained scenarios. In addition, the disparities between both scenarios concerning allocation were analyzed. We realized the synergy of quota and space allocations of new urban land through urban growth simulation. Further, the allocation of new urban land was more consistent with the development strategy of Guangzhou under a constrained scenario. The allocation of space was more regular and concentrated under a constrained scenario, which aligns with the requirements of the Government Land Space Planning. Additionally, in the constrained scenario, the bottom lines of cultivated land protection, ecological service, and geological safety were better controlled. This study compensated for the shortcomings of the disjoined quota and space allocations of new urban land and proved that a constrained scenario can more effectively promote reasonable urban growth.

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Section: Rules Of Growthmentioning

confidence: 99%

Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China

Zhu

Liu

et al. 2023

Land

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“…Referring to relevant cropland quality evaluation standards and previous studies [28,46], and considering data availability in the study area, cropland quality evaluation indicators were selected from aspects such as natural conditions, soil fertility, construction level, and cropland productivity. The constructed indicator system for cropland quality evaluation using multi-source data is listed in Table 3.…”

Section: Indicator System For Cropland Quality Evaluationmentioning

confidence: 99%

“…To validate the reliability of evaluated cropland quality results in this study, a comparison with field measurements was performed. The measured data came from the special survey in the Third Land and Resources Survey in China [46]. In the survey, a comprehensive evaluation of cropland quality was conducted considering aspects such as topographical conditions, soil conditions, and ecological environment conditions, based on indicators such as terrain slope, soil pH, surface soil texture, soil organic matter content, soil thickness, and soil heavy metal pollution.…”

Section: Validation Of Cropland Quantity and Qualitymentioning

confidence: 99%

Evaluation of Spatiotemporal Changes in Cropland Quantity and Quality with Multi-Source Remote Sensing

Liu,

Wang,

Sang

et al. 2023

Land

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Timely cropland information is crucial for ensuring food security and promoting sustainable development. Traditional field survey methods are time-consuming and costly, making it difficult to support rapid monitoring of large-scale cropland changes. Furthermore, most existing studies focus on cropland evaluation from a single aspect such as quantity or quality, and thus cannot comprehensively reveal spatiotemporal characteristics of cropland. In this study, a method for evaluating the quantity and quality of cropland using multi-source remote sensing-derived data was proposed and effectively applied in the black soil region in Northeast China. Evaluation results showed that the area of cropland increased significantly in the study area between 2010 and 2018, and the proportion of cropland increased by 1.17%. Simultaneously, cropland patches became larger and landscape connectivity improved. Most of the gained cropland was concentrated in the northeast and west, resulting in a shift in the gravity center of cropland to the northeast direction. Among land converted into cropland, unused land, grassland, and forest were the main sources, accounting for 36.38%, 31.47%, and 16.94% respectively. The quality of cropland in the study area generally improved. The proportion of low-quality cropland decreased by 7.17%, while the proportions of high-quality and medium-quality cropland increased by 5.65% and 5.17%, respectively. Specifically, the quality of cropland improved strongly in the east, improved slightly in the southwest, and declined in the north. Production capacity and soil fertility were key factors impacting cropland quality with obstacle degrees of 36.22% and 15.64%, respectively. Overall, the obtained results were helpful for a comprehensive understanding of spatiotemporal changes in cropland and driving factors and can provide guidance for cropland protection and management. The proposed method demonstrated promising reliability and application potential, which can provide a reference for other cropland evaluation studies.

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“…Therefore, the distance between the land and surrounding roads, villages, etc. was selected as an evaluation index [47,48].…”

Section: Construction Of a Theoretical Framework For Evaluationsmentioning

confidence: 99%

Assessing the Influence of Water Conservancy Projects on China’s Reserve Resources for Cultivated Land

Yao,

He,

et al. 2023

Land

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The development of reserve resources of cultivated land (RRCL) is a vital way of supplementing cultivated land in the northern arid and semi-arid regions of China. This study developed a suitability evaluation system for reserve resources of cultivated land from the nature–function–environment perspective. The evaluation considered the construction of water conservancy projects, establishing two scenarios of rain-fed and irrigated agriculture. The evaluation results for unused land were divided into four levels, including highly suitable, relatively suitable, moderately suitable and unsuitable, using the three-dimensional Rubik’s cube spatial classification method. The results show that: (1) Under the rain-fed agriculture scenario, the developable quantity and quality of unused land were poor. The potential area of reserve resources of cultivated land only accounted for 5% of the total area. (2) Under the irrigated agriculture scenario, the potential area of reserve resources of cultivated land increased to 21% of the total unused land. The areas were mainly distributed in Xinjiang, Inner Mongolia, and Gansu. The research considered the impact of water conservancy projects on the development and utilization of reserve resources of cultivated land. It can provide references for the development of arable land resources and territorial spatial planning in China.

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System Cognition and Analytic Technology of Cultivated Land Quality from a Data Perspective

Cited by 9 publications

References 32 publications

Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China

Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China

Evaluation of Spatiotemporal Changes in Cropland Quantity and Quality with Multi-Source Remote Sensing

Assessing the Influence of Water Conservancy Projects on China’s Reserve Resources for Cultivated Land

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