County-level patterns of cropland and their relationships with socio-economic factors in northwestern China

Zhang, Yu; Li, Chongguang; Wang, Tianwei; Cai, Chang; Bao, Yuze

doi:10.1016/j.agee.2014.11.016

Cited by 27 publications

(15 citation statements)

References 49 publications

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“…Various reasons lead to the increase of cultivated land areas in Northeastern and Northwestern China. For example, the considerable expansion of cultivated land in Xinjiang mainly owes to four reasons: (a) increasing food demand caused by population growth in this region; (b) the development of agricultural technology, especially in the water saving irrigation; (c) local encouraging policies such as low agricultural taxes and high subsidies; (d) the scale management of agricultural crops (Chen, Wu, & Feng, ; Xin, Li, & Tan, ; Zhang, Li, Wang, Cai, & Bao, ; Zhu & Li, ).…”

Section: Resultsmentioning

confidence: 99%

The impact of cultivated land spatial shift on food crop production in China, 1990–2010

Tan

et al. 2018

Land Degrad Dev

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Cultivated land has been undergoing significant spatial shift during the last 2 decades in China, according to land‐use data derived from the Landsat Thematic Mapper. Based on soil organic matter data and yield data at county level, we developed a constant crop yield dataset at pixel level with a resolution of 1 km. Using this dataset, this paper quantitatively evaluates average crop yield change due to cultivated land spatial shift at national and regional levels. The results show that (a) at national level, the average crop yield per unit area decreased by 1.99% during the period 1990–2010. The main reason for this is that built‐up areas occupied a significant amount of high‐yield cultivated land whereas low‐yield land converted in ecologically vulnerable areas. (b) In spite of 77.2 thousand km2 cultivated land was converted to built‐up areas, especially in areas with high economic value, such as Huang–Huai–Hai Plain, 329.4 thousand km2 land was converted to cultivated land, especially in Northeastern and Northwestern China. (c) The quality gap between cultivated land converted to built‐up areas nationally and new cultivated land regionally suggests that the loss of 1 km2 of cultivated land converted to built‐up area would, to achieve equivalency, need to be compensated by 1.54 km2 of new land in Xinjiang, or more in Northeastern China. However, cultivated land expansion in these areas may cause land degradation and a series of ecological environment problems.

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Section: Resultsmentioning

confidence: 99%

The impact of cultivated land spatial shift on food crop production in China, 1990–2010

Tan

et al. 2018

Land Degrad Dev

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“…For example, Guo et al evaluated the effects of land consolidation on the multifunctionality of the cropland production system in China using the SPA (Set Pair Analysis)-fuzzy assessment model [64]. Zhang et al used a partial least squares regression (PLSR) model to determine the main socioeconomic indicators of cropland change [65]. Handavu et al [66] and Paudel et al [67] used a binary logistic regression model to examine the driving factors of land use and land cover change.…”

Section: Suitability Of Rbfnn Modelmentioning

confidence: 99%

Cropland Use Transitions and Their Driving Factors in Poverty-Stricken Counties of Western Hubei Province, China

Xiang

Song

2019

Sustainability

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Agriculture is important for economic development in most poverty-stricken areas in China, but cropland use is facing challenges due to rapid industrialization and urbanization, causing serious issues for poverty alleviation and sustainable socioeconomic development. Cropland Use Transition (CUT) is one way to alleviate poverty and develop the economy in poverty-stricken areas. This paper chose 16 typical poverty-stricken counties in Western Hubei province as the case area. A morphology index system was established to evaluate CUT, and geographic information system software was used to analyze the temporal-spatial variations in CUT. Using the Radial Basis Function Neural Network (RBFNN) model, contributions of driving factors of population, economy, and industrial structure to CUT were analyzed. The results show that: (1) cropland use morphology can be divided into functional morphology and spatial morphology; (2) the spatial distribution of CUT was high in the north and low in the south, the temporal variation of CUT from 1995 to 2013 showed fluctuations, and the coefficient of CUT changed from 0.460 to 0.649 with a growth rate of 41%; (3) for the driving factors, population factors most significantly contributed to CUT, followed by industrial structure and economic factors. The results obtained in this study are in line with the findings of previous studies. The RBFNN model is suitable for evaluating the contributions of driving factors, which can solve the deficiency in previous studies caused by ignoring the internal relationship and target orientation of driving factors. This study suggests that poverty-stricken counties should narrow the urban–rural divide, encourage balanced labor and investment flow into cropland by formulating relevant economic policies, motivate farmers’ agricultural engagement, and use science and technology to promote CUT and the growth of the agricultural economy, poverty alleviation, and to coordinate urban–rural development.

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“…The drivers of cropland expansion have been explored both at the global (Molotoks et al, 2018; van Vliet, 2019) and regional scales (C. Chen, Zhang, & Lu, 2016; Y. Zhang, Li, Wang, Cai, & Bao, 2015), such as socioeconomic, natural, political, technological, and cultural drivers (Newman, McLaren, & Wilson, 2014). The world's growing food demands (Foley et al, 2011) are regarded as a key socioeconomic driver (Molotoks et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Climate warming has aided the cropland expansion in northern China (Shi et al, 2014). Moreover, cropland expansion also has a complex linkage to socioeconomic drivers, such as government policies (Shi et al, 2014) and the improvement of agricultural technology (Y. Zhang et al, 2015). With cropland use policies, Chinese local jurisdictions continued expropriating cropland on a large‐scale for development (Shen et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…With cropland use policies, Chinese local jurisdictions continued expropriating cropland on a large‐scale for development (Shen et al, 2017). Y. Zhang et al (2015) indicated that the main drivers of cropland expansion in Xinjiang, China, include improvements in agricultural infrastructure and production technology. Cropland expansion also depends on the decision of farmers (X. Liu, Wang, Liu, & Meng, 2005b).…”

Section: Discussionmentioning

confidence: 99%

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Which impacts more seriously on natural habitat loss and degradation? Cropland expansion or urban expansion?

Tang

Chen

et al. 2020

Land Degrad Dev

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Natural habitat plays an important role in maintaining biodiversity. Both cropland expansion and urban expansion have an influence on natural habitat. However, it is not clear which one impacts more seriously on both the quantity and quality of natural habitat. This study compared the impacts of cropland expansion on the quantity and quality of natural habitat in China between 2000 and 2015 with the impacts of urban expansion. Map algebra in ArcGIS 10.6 was used to calculate the changes in the quantity of natural habitat, while the Integrated Valuation of Ecosystem Services and Trade‐offs (InVEST) Habitat Quality model was used to assess the changes in its quality. The results indicated that cropland expansion led to a loss of 35,811 km2 of natural habitat, which was twelve‐times as much as that from urban expansion. Furthermore, the area of the heaviest habitat degradation due to cropland expansion was 9,530 km2, which was eight‐times as much as that due to urban expansion. Noticeably, the greatest impacts of cropland expansion on natural habitat mostly occurred in areas where the ecological environment is already vulnerable (namely, the resistance and resilience of ecosystems in response to external interference are weak), whereas the impacts of urban expansion were much less in these areas. This study highlights that the impacts of cropland expansion on both the natural habitat loss and degradation far exceeded the impacts of urban expansion. It is necessary to improve cropland protection policies to guarantee food security while ensuring little or no harm to natural habitat.

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County-level patterns of cropland and their relationships with socio-economic factors in northwestern China

Cited by 27 publications

References 49 publications

The impact of cultivated land spatial shift on food crop production in China, 1990–2010

The impact of cultivated land spatial shift on food crop production in China, 1990–2010

Cropland Use Transitions and Their Driving Factors in Poverty-Stricken Counties of Western Hubei Province, China

Which impacts more seriously on natural habitat loss and degradation? Cropland expansion or urban expansion?

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