Modeling of spatial pattern and influencing factors of cultivated land quality in Henan Province based on spatial big data

Wang, Hua; Zhu, Yuxin; Wang, Jinghao; Han, Hubiao; Niu, Jiqiang; Chen, Xueye

doi:10.1371/journal.pone.0265613

Cited by 14 publications

(9 citation statements)

References 11 publications

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“…This phenomenon can be attributed to the fact that these cities are in a state of high urbanization, with a concentrated urban population, underutilization of arable land, and a decline in rural population. There is a correlation between the urbanization rate and the CLQ [44]. With the development of society and the implementation of policies related to cultivated land protection, arable land has been effectively protected and appropriately utilized in the black soil region, which plays an essential role in improving food production, protecting cultivated land security, and maintaining ecological health [45].…”

Section: Discussionmentioning

confidence: 99%

Ecological Security Assessment and Warning of Cultivated Land Quality in the Black Soil Region of Northeast China

Liu

Wang

Liu

et al. 2023

Land

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The ecological security of cultivated land critically depends on maintaining the quality of the land under cultivation. For the security of the nation’s grain supply, the evaluation and early warning of cultivated land quality (CLQ) are essential. However, previous studies on the assessment of the ecological safety of CLQ only rigidly standardized the assessment indicators and failed to investigate the positive and negative trends and spatiotemporal driving factors of the indicators. The main objective of this study was to develop a drive–pressure–state–response (DPSR) model to identify the hierarchical structure of indicators, using an improved matter–element model to assess the CLQ in the black soil region of northeastern China from 2001 to 2020. A panel data model was employed to explore the crucial drivers of CLQ warnings. The findings reveal that socioeconomic development has a potential impact on the improvement of CLQ. CLQ is generally in a secure state, with 69.71% of cities with no warnings and only 3.46% and 0.13% of cities under serious and extreme warnings, respectively. Compared with 2001, the CLQ in 2020 effectively improved by socioeconomic development and the conservation and reasonable utilization of arable land. According to the early warning results, the cultivated land in the northern regions was of higher quality than that in the southern regions. Moreover, the CLQ was significantly positively correlated with the agricultural GDP growth rate, grain yield per unit of cultivated land area, annual precipitation, and the habitat quality index, and was significantly negatively correlated with land carrying capacity. The findings of this study can provide a scientific and targeted basis for black soil conservation and utilization.

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Section: Discussionmentioning

confidence: 99%

Ecological Security Assessment and Warning of Cultivated Land Quality in the Black Soil Region of Northeast China

Liu

Wang

Liu

et al. 2023

Land

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show abstract

“…It is used to measure the interrelated characteristics of observed variables and agglomeration in space [ 24 ]. Spatial autocorrelation is often described by Moran's I index, which has a value between −1 and 1 [ 25 , 26 ]. A negative correlation exists when the value is < 0, while a positive correlation exists when the value is > 0.…”

Section: Methodsmentioning

confidence: 99%

Factors influencing the spatiotemporal variation in the value of ecosystem services in Anxi county

Jiang¹,

Guo

Lin

et al. 2023

Heliyon

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“…Natural conditions were the main influencing factors for cropland in 2000, and the intensity of the role of slope and elevation ranked lower as time changed, while the intensity of the role of total food production in 2010 and GDP per capita in 2020 came to the fore and the explanatory power of socio-economic factors ranked higher. In recent years, frequent human activities have led to the increase of agricultural productivity, resulting in the weakening of the intensity of the role of natural factors on arable land change, and the socio-economic factors directly determine the spatial pattern of arable land change to a large extent 30,31 .…”

Section: Analysis Of Factor Detectormentioning

confidence: 99%

Analysis of spatial and temporal changes and driving forces of arable land in the Weibei dry plateau region in China

Zhang,

Xia,

Sun

et al. 2023

Sci Rep

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Arable land is the lifeblood of food production, it is of great significance to promote the protection of arable land and ensure national food security by accurately understanding the change law of cultivated land and its driving mechanism. This study takes the Weibei dry plateau region of China as an example, explores its spatial and temporal change characteristics through the center of gravity shift and land use shift matrix, and couples the geographic probe model to reveal the driving mechanisms affecting arable land change. The results show that in the past 25 years, the total arable land area in the Weibei Dry Plateau Region of China has decreased by 5.58%, and the stability of arable land resources in the whole region has weakened. The center of gravity of arable land shifts to the northeast, and the standard deviation ellipse of arable land mainly undergoes the change process of "increase (1995–2015)-decrease (2015–2020)", and the spatial distribution of arable land tends to be dispersed. In the LISA frequency mapping, the proportion of stable constant and low-frequency areas is as high as 89.58%, and the spatial pattern of cultivated land is relatively stable. Medium and high frequency areas. The transformation mode is mainly "low-low" aggregation, "low–high" aggregation is not significant, and the decline of cultivated land in the study area is more obvious. In the past 25 years, a total of 1017.26 km2 of arable land was converted to construction land. The explanatory power of the influencing factors varies in each period (0.299 to 0.731), with total agricultural machinery power has the strongest explanatory power of 0.694, 0.592, and 0.731, respectively. The interaction between slope and annual average temperature and other factors being the highest, both greater than 0.8. Through the construction of LISA frequency mapping, combined with the center of gravity model and standard deviation ellipse, the spatial evolution trend of regional arable land is more comprehensively and dynamically grasped. By using the geodetector model, the driving mechanism of the changes of arable land is revealed comprehensively, which provides a theoretical basis for the scientific management and effective protection of arable land resources and a basis for decision-making.

show abstract

Modeling of spatial pattern and influencing factors of cultivated land quality in Henan Province based on spatial big data

Cited by 14 publications

References 11 publications

Ecological Security Assessment and Warning of Cultivated Land Quality in the Black Soil Region of Northeast China

Ecological Security Assessment and Warning of Cultivated Land Quality in the Black Soil Region of Northeast China

Factors influencing the spatiotemporal variation in the value of ecosystem services in Anxi county

Analysis of spatial and temporal changes and driving forces of arable land in the Weibei dry plateau region in China

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