Spatiotemporal differentiations of arable land use intensity — A comparative study of two typical grain producing regions in northern and southern China

Yin, Guanwen; Lin, Zhulu; Jiang, Xia; Yan, Hongwen; Wang, Xiaoming

doi:10.1016/j.jclepro.2018.10.143

Cited by 39 publications

(20 citation statements)

References 15 publications

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“…A previous study shows that Shandong Province reduced fertilizer, pesticide, mulching film inputs during this period while the Dongting Lake Region continued to increase the use of production materials, constituting a major cause of its opposing pollutant discharge trend (Yin, Lin, and Jiang 2019). In addition, CO 2 became the most prominent contaminant, accounting for the largest proportion of total pollutant discharge (83.02% for the Dongting Lake Region and 94.5% for Shandong Province).…”

Section: Long-term Changes In Contaminant Emissionsmentioning

confidence: 88%

“…Agricultural inputs have been reported to be excessive in many areas (Margoum, Morin, and Mazzella 2015;Rahman et al, 2018). For example, from 2007 to 2015, production material inputs to arable land in Shandong Province and the Dongting Lake Region's grain producing areas increased by 34.59% and 12.65%, respectively (Yin, Lin, and Jiang 2019). The intensive application of production material to arable land may give rise to environmental risks with undesirable long-term effects on human health, including the degradation of water quality, forests, soils, and food chains (Power 2010) (Pereira, Souza, and Bernardes 2015).…”

Section: Introductionmentioning

confidence: 99%

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Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China

Yin

Lin

Jiang

et al. 2020

Ecosyst Health Sustain

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Taking two typical grain producing areas of southern (Dongting Lake Region) and northern China (Shandong Province) as examples, this study used fault tree analysis and parametric estimation to provide a comparative analysis for environmental risks of intensive arable land use. The results show that (1) in the risks of eutrophication, toxicity, soil structure, greenhouse effect and air pollution, the greenhouse effect was the most prominent with the highest discharge; (2) the Dongting Lake Region discharged less pollutants annually than did Shandong Province, while surpassing Shandong in cumulative pollutant discharge in 2007-2018; (3) the spatial distribution of environmental risk in the Dongting Lake Region was mostly concentrated in the northern area, whereas that in Shandong Province displayed a scattered pattern; (4) in the Dongting Lake Region, Yueyang, Changde, and Yiyang were high environmental risk cities in 2007-2018, whereas in Shandong Province, Zaozhuang, Heze, Liaocheng, and Dezhou exhibited higher comprehensive environmental risk indexes in 2007-2008, while Rizhao replaced them in 2018. The results indicated that ago-production material use must be controlled, reasonable zoning for areas posing environmental risks must be employed and cities with high environmental risk must be dynamically monitored to prevent the intensification of environmental risks of arable land use.

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Section: Long-term Changes In Contaminant Emissionsmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China

Yin

Lin

Jiang

et al. 2020

Ecosyst Health Sustain

Self Cite

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“…The commonly accepted concept of land development intensity in agriculture can be denoted as the degree of yield amplification caused by human activities or socioeconomic inputs, including: labour, resources, water, energy, and capital (Liiri et al, 2012). A large number of studies have been carried out focusing on agricultural land development intensity, including dynamic change (van der Sluis et al, 2016), measurement analysis (Dietrich et al, 2012), spatial pattern (Yin et al, 2019), driving forces (Teixeira et al, 2014), and impacts on ecology and the environment (Margriter et al, 2014). A variety of different data were used in the research, such as agricultural census, land use/cover maps, satellite images, field surveys, and statistics data (Persson et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Spatial-temporal Dynamics and Driving Forces of Land Development Intensity in the Western China from 2000 to 2015

Huang

Liu

et al. 2020

Chin. Geogr. Sci.

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The change in land development intensity is an important perspective to reflect the variation in regional social and economic development and spatial differentiation. In this paper, spatial statistical analysis, Ordinary Least Squares (OLS), and Geographically weighted regression (GWR) methods are used to systematically analyse the spatial-temporal characteristics and driving forces of land development intensity for 131 spatial units in the western China from 2000 to 2015. The findings of the study are as follows: 1) The land development intensity in the western China has been increasing rapidly. From 2000 to 2015, land development intensity increased by 3.4 times on average. 2) The hotspot areas have shifted from central Inner Mongolia, northern Shaanxi and the Beibu Gulf of Guangxi to the Guanzhong Plain and the Chengdu-Chongqing urban agglomeration. The areas of cold spots were mainly concentrated in the Qinghai-Tibet Plateau, Yunnan, and Xinjiang. 3) Investment intensity and the natural environment have always been the main drivers of land development intensity in the western China. Investment played a powerful role in promoting land development intensity, while the natural and ecological environment distinctly constrained such development. The effect of the economic factors on land development intensity in the western China has changed, which is reflected in the driving factor of construction land development shifting from economic growth in 2000 to economic structure, especially industrial structure, in 2015.

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“…It is noteworthy that agricultural production is shaped by natural and socioeconomic factors [33]. Some studies demonstrated that local elements, including household size, cropping systems, land-use intensity, land tenure, climate change, and environmental costs, can influence grain productivity significantly [36][37][38][39][40][41][42][43][44][45][46][47][48]. The actual grain yields, to some extent, are determined by the quantity and quality of cultivated land, climate, agricultural technology, and cropping patterns.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Dynamics of Cultivated Land and Its Influences on Grain Production Potential in Hunan Province, China

Tong

et al. 2020

Land

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Understanding the impact of changes in cultivated land in terms of structure, distribution, and quantity on grain production potential (GPP) is essential for a sustainable land utilization strategy and food security. Cultivated land balance (CLB), as a critical policy aiming at protecting farmland in China, has greatly restricted the loss of cultivated land. However, changes in cultivated land were largely generated due to the land-use activities led by the CLB policy. To clarify how the spatiotemporal dynamics of cultivated land led by the CLB policy affects the GPP, this work discusses the impact mechanism of cultivated land changes on GPP and provides an empirical analysis in Hunan Province, China. This study shows that the activities that merely aim at restricting the loss of cultivated land under CLB cannot stop the decline in GPP in China, since it requires the government to reclaim a certain amount of cultivated land that is equal to that occupied for non-cultivated land use. Furthermore, the distribution of cultivated land changed after the implementation of CLB and, as a result, contributed to the decrease in the quality of cultivated land and GPP. Quantity, productivity, and other elements that may potentially facilitate cultivated land protection are greatly advocated to be considered to enrich the connotation of the CLB policy in China. It also found that less developed regions located in central and western Hunan Province, among other areas, observed a higher sensitivity of GPP to cultivated land change. More attention should be paid to protecting cultivated land in these regions and addressing issues such as the abandonment of high-quality cultivated land.

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Spatiotemporal differentiations of arable land use intensity — A comparative study of two typical grain producing regions in northern and southern China

Cited by 39 publications

References 15 publications

Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China

Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China

Spatial-temporal Dynamics and Driving Forces of Land Development Intensity in the Western China from 2000 to 2015

Spatiotemporal Dynamics of Cultivated Land and Its Influences on Grain Production Potential in Hunan Province, China

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