Patterns of Agricultural Diversification in China and Its Policy Implications for Agricultural Modernization

Han, Hongyun; Lu, Hui

doi:10.3390/ijerph18094978

Cited by 19 publications

(14 citation statements)

References 75 publications

(96 reference statements)

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“…Modern agriculture is based on the development and application of agricultural science and technology which relies on modern natural science to improve agricultural production techniques and expand the scope of agricultural applications. 1 Selenium (Se) is a key element in modern agriculture and is used in three main sectors: pre-production, production and postproduction. Pre-production includes seed and feed, production includes planting and farming and postproduction includes processing and distributing products.…”

Section: Introductionmentioning

confidence: 99%

Selenium in modern agriculture

et al. 2023

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Selenium (Se) is a micronutrient necessary in small amounts for the proper organism functioning. Se‐rich agriculture, also known as special agriculture, has the potential to improve agricultural production and produce beneficial agricultural products. This review discusses the various applications of Se in agriculture, including animal husbandry, crop production and aquaculture. It covers Se metabolites, the function and regulation of selenogenomes and selenoproteomes of human and animal food and the recycling of Se in food systems and ecosystems. Finally, the review identifies research needs that will support the basic science and practical applications of dietary Se in modern agriculture.

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Section: Introductionmentioning

confidence: 99%

Selenium in modern agriculture

et al. 2023

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“…A number of researchers have attempted to disclose the determinants of NGPCL from the perspectives of farmers’ behavior, land economics, and government management [ 9 , 10 , 22 ]. It is generally believed that plenty of factors, such as rapid farmer situations, topographic conditions, location, and regional policies have an influence on NGPCL [ 10 , 23 , 24 , 25 ]. With regards to the impacts of NGPCL, existing studies have proposed that NGPCL renders threats to food production, destroys the soil tillage layer, and causes environmental pollution [ 21 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Identifying the Spatial–Temporal Pattern of Cropland’s Non-Grain Production and Its Effects on Food Security in China

Wang

Dai

2022

Foods

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Non-grain production of cropland (NGPCL) is a common phenomenon in the process of rapid urbanization in order to meet the diversified food demand and prosperity of the rural economy. However, excessive NGPCL will threaten grain production. How to control the moderate development of NGPCL in order to achieve the balance between food security and rural development has become a salient issue. In this study, we constructed a framework to measure NGPCL, revealed the spatial–temporal pattern of NGPCL, and then analyzed its influencing factors from the perspective of the human–land relationship. The results indicate that, firstly, the overall degree of NGPCL in China experienced an increase from 0.44 to 0.51, while the gap among cities was consistently enlarging, with the range value increasing from 0.74 to 0.91. Secondly, the spatial pattern of NGPCL was high in the northwest and southeast, and low in the northeast and central regions. The southern economic developed area exhibited the highest increase, while the Inner Mongolia, northwest China, and traditional agricultural areas experienced a decreasing trend in NGPCL. Thirdly, the spatial agglomeration of NGPCL has been intensified, with the Gansu–Xinjiang Desert plateau, southeast coastal economic belt, and urban agglomeration areas exhibiting a “high–high” agglomeration, while the traditional agricultural areas exhibited “low–low” agglomeration. Fourthly, NGPCL is positively correlated with the urbanization rate, land fragmentation, landscape diversity, land price, and grain production policy, while it is negatively linked with the agricultural employment rate, agricultural machinery level, and cultivated land per capita. The findings of this research are not only deepen the understanding of NGPCL, but are also of great significance for policy makers in order to propose targeted control measures.

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“…Since the 21st century, the disordered expansion of urban construction land [ 4 , 5 ], and the intensification of man-land contradiction brought about by the rapid development of social economy have forced land use changes and the intensification of cultivated land fragmentation (CLF) [ 6 ]. Cultivated land resources in China are facing serious threats, which, to a certain extent, hinder the development process of agricultural modernization and large-scale development [ 7 ], reduce the agricultural production efficiency [ 8 ], and threaten national food security and social stability. As an important grain production base in China, the Huaihe River Basin covers an area of only 2.9% of China’s land area, but its cultivated land area accounts for 12% of the country’s total [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Cultivated Land Fragmentation and Its Influencing Factors Detection: A Case Study in Huaihe River Basin, China

Liang

Pan

Chen

et al. 2021

IJERPH

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The booming population and accelerating urbanization in the Huaihe River Basin have sped up the land use transformation and the cultivated land fragmentation (CLF), seriously impeded the advancement of agricultural modernization, and threatened regional stability and national food security as well. The analysis of CLF degree and its spatiotemporal distribution characteristics, along with the influencing factors in the Huaihe River Basin, is of great significance for promoting the intensive and efficient utilization of cultivated land resources and maintaining food security. Previous studies lack the measurement and cause analysis of CLF in Huaihe River Basin. To bridge the gap, this study introduces Fragstats4.2 and ArcGIS10.3 to analyze the spatiotemporal characteristics of CLF in county units in the Huaihe River Basin from 2000 to 2018 through the Lorentz curve, entropy method, and spatial auto-correlation method while the causes of the spatiotemporal differentiation of CLF in the basin were explored with the help of a geographic detector. The results show that the spatial distribution of cultivated land in the Huaihe River Basin is relatively balanced, and the Gini coefficients of cultivated land from 2000 to 2018 were 0.105, 0.108, and 0.113, respectively. More than 56% of the counties in the basin have a location entropy greater than 1. the percentage of landscape, area-weighted mean patch area, patch cohesion index, and aggregation index decrease year by year while the patch density and splitting index show an upward trend. The landscape pattern of cultivated land is highly complex, and the overall fragmentation degree is increasing. The county distribution pattern of the CLF degree with random and agglomeration is generally stable. The spatiotemporal differentiation of CLF in the Huaihe River Basin is affected by multiple factors, among which the influences of the normalized difference vegetation index, per capita cultivated land area, and intensity of human activity obviously stronger than other factors, and the contribution rate of the factors reached more than 0.4. The interaction effect among the factors is stronger than that of single factor, with dual-factor enhancement and nonlinear enhancement dominating. The results of this study have important implications for optimizing the agricultural structure in the Huaihe River Basin and alleviating the CLF in important grain production areas.

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Patterns of Agricultural Diversification in China and Its Policy Implications for Agricultural Modernization

Cited by 19 publications

References 75 publications

Selenium in modern agriculture

Selenium in modern agriculture

Identifying the Spatial–Temporal Pattern of Cropland’s Non-Grain Production and Its Effects on Food Security in China

Cultivated Land Fragmentation and Its Influencing Factors Detection: A Case Study in Huaihe River Basin, China

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