Spatial patterns of county-level arable land productive-capacity and its coordination with land-use intensity in mainland China

Ye, Sijing; Ren, Shuyi; Song, Changchun; Cheng, Changxiu; Shen, Shi; Yang, Jianyu; Zhu, Ding

doi:10.1016/j.agee.2021.107757

Cited by 63 publications

(26 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Application of statistical analysis methods (e.g., Pearson correlation index; principal component analysis; etc.) is not enough to answer and verify questions such as "what are the regional leading factors to arable land quality and how do they influence arable land quality" [16]. Long-term surveys and observations at the point scale should be carried out to explore the internal logic of leading factors of arable land quality on landscape and regional scale in the human-environment system [31].…”

Section: Challenges In Studying Arable Land Quality: From Science To ...mentioning

confidence: 99%

“…Recognizing the spatial heterogeneity of arable land quality and its regional factors is crucial for exploring sustainable arable land use paths and policies based on trading off the increase in arable land use intensity and the protection of farmland ecosystem health. This is because, first, protecting high-quality arable land is of great importance in safeguarding national food security [15,16]. For instance, the arable land productive capacity of China obeys a significant heavy-tailed distribution: 53% of the total arable land productive capacity of mainland China has been provided by 20% of the counties with high arable land quality [16].…”

Section: Introduction To the Special Issue-arable Land Quality: Obser...mentioning

confidence: 99%

“…This is because, first, protecting high-quality arable land is of great importance in safeguarding national food security [15,16]. For instance, the arable land productive capacity of China obeys a significant heavy-tailed distribution: 53% of the total arable land productive capacity of mainland China has been provided by 20% of the counties with high arable land quality [16]. Second, developing agricultural intensification and land consolidation is more suitable in high arable land quality areas, where the output-input ratio tends to be higher [17,18].…”

Section: Introduction To the Special Issue-arable Land Quality: Obser...mentioning

confidence: 99%

“…Third, protecting and developing high-quality arable land is crucial for protecting farmland ecosystem health and improving the carbon sequestration capacity and land degradation prevention capability of arable land [19,20]. Fourth, arable land quality should be considered when delimiting the red line for farmland protection, optimizing the spatial distribution of arable land, and promoting conservation farming techniques [16,21].…”

Section: Introduction To the Special Issue-arable Land Quality: Obser...mentioning

confidence: 99%

See 3 more Smart Citations

Preface: Arable Land Quality: Observation, Estimation, Optimization, and Application

Song

Kuzyakov

et al. 2022

Land

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Challenges In Studying Arable Land Quality: From Science To ...mentioning

confidence: 99%

Section: Introduction To the Special Issue-arable Land Quality: Obser...mentioning

confidence: 99%

Section: Introduction To the Special Issue-arable Land Quality: Obser...mentioning

confidence: 99%

Section: Introduction To the Special Issue-arable Land Quality: Obser...mentioning

confidence: 99%

See 2 more Smart Citations

Preface: Arable Land Quality: Observation, Estimation, Optimization, and Application

Song

Kuzyakov

et al. 2022

Land

Self Cite

View full text Add to dashboard Cite

show abstract

“…Currently, the relevant bodies involved in the ecological and environmental assessment of the cultivated land withdrawal in China are still in the process of determining what to do; consequently, identifying local practices and expert advice is of great use. Therefore, the Analytic Hierarchy Process (AHP) method was applied to determine the weight of each evaluation factor and references were made to relevant studies [12,[32][33][34]. Furthermore, the data were classified and normalized according to the observed data of the individual assessment indices in Manas County (See Table 1).…”

Section: ) Selection Of Evaluation Factorsmentioning

confidence: 99%

Study on the Spatial Allocation of Receding Land and Water Reduction under Water Resource Constraints in Arid Zones

et al. 2022

View full text Add to dashboard Cite

The withdrawal of cultivated land policy is not only an important task to promote cultivated land rest and alleviate the contradiction between supply and demand of water resources in arid areas, but also an important way to realize the sustainable development of agriculture and social economy. This study adopted the minimum per capita area method, ESPR (Exposure-Sensitivity-Pressure-Response) vulnerability assessment model, grey prediction model, and GIS spatial analysis. Furthermore, based on the characteristics of water resource constraints in the arid zone, Manas County was used as the study area. By exploring and analyzing the area of land retreat, through identifying its occurrence and position, the spatial zoning layout of land retreat can be realized to guarantee the effective implementation of water retreat and reduction. The following points were noted from the results: (1) the upper and lower limits of the area of receding land in Manas County were measured using the minimum per capita area method and the principle of balancing water supply and demand. The receding land in Manas County measured 16,493.68–20,749.90 hm2, which accounted for 24.31–30.58% of the total area of cultivated land. (2) The results obtained from constructing the ESPR vulnerability assessment model, used to assess the vulnerability of cultivated land in Manas County, showed that the overall vulnerability of cultivated land in Manas County was high, with 94.74% of the county’s cultivated land being moderately vulnerable or worse, which necessitates the optimization of land use. (3) The area of cultivated land withdrawal under the water resource constraint was used as a constraint for the withdrawal of cultivated land. Based on the evaluation of the vulnerability of cultivated land, with the results arranged from small to large, it was concluded that the area of cultivated land withdrawal in Manas County could reach up to 16,787.34 hm2. There are four types of cultivated land withdrawals: desertified withdrawal, saline withdrawal, groundwater overexploitation withdrawal, and soil contamination withdrawal. The results of this study can provide a reference for Manas County to scientifically formulate a reasonable and orderly withdrawal system of farmland to reduce water use.

show abstract

Land use evaluation considering soil properties and agricultural infrastructure in black soil region

Ren,

Song,

et al. 2023

Land Degrad Dev

Self Cite

View full text Add to dashboard Cite

Systematic assessment of arable land use is a fundamental prerequisite to explore its sustainable development path. Agricultural infrastructure integrated with the tillage conditions and soil properties was used to evaluate the state of regional arable land use and its potential for sustainable productivity. We propose a combined weighting method integrating Delphi and entropy weights to consider both decision objectives and indicator attributes. The proposed approach takes into account both expertise and data feature, making the evaluating results more rational and applicable. The impacts of large‐scale land use change and regional urban distribution on soil properties and agricultural infrastructure were also explored to develop more rational and differentiated conservation strategies. Our evaluation showed that 44% and 48% of the soil properties of arable land in Heilongjiang Province, China, are in the excellent or good grades, respectively, meaning that no or only minor remediation measures are needed to achieve optimum conditions. Agricultural infrastructure deserves more attention from the management than soil properties, as only 16% and 24% of area have the same excellent and good grades. The results of the evaluation with a combination of subjective and objective weights are closer to a normal distribution curve than if only expert weights are used, which confirms our hypothesis that the new weighting method is more reasonable. The newly proposed weighted design method and index provide a better understanding of the sustainable productivity of agricultural areas and have a promising application in large‐scale black soil areas worldwide. The future rough growth strategy for resources will result in degradation and posed risks to regional ecological conservation. At the provincial level (up to 130 km), agricultural infrastructure declines and then rises as fields move away from cities, with the inflection point at 55 km. State‐owned farms are mainly responsible for this inflection point, which shift the agents of arable land from small farmers to large capital, with remote arable land receiving more investment. The impact mechanisms of urbanization should be deeper explored to address the challenges for arable land conservation.

show abstract

Spatial patterns of county-level arable land productive-capacity and its coordination with land-use intensity in mainland China

Cited by 63 publications

References 65 publications

Preface: Arable Land Quality: Observation, Estimation, Optimization, and Application

Preface: Arable Land Quality: Observation, Estimation, Optimization, and Application

Study on the Spatial Allocation of Receding Land and Water Reduction under Water Resource Constraints in Arid Zones

Land use evaluation considering soil properties and agricultural infrastructure in black soil region

Contact Info

Product

Resources

About