Impacts of future land use changes on land use conflicts based on multiple scenarios in the central mountain region, China

Zuo, Qian; Yong, Zhou; Wang, Li; Li, Qing; Liu, Jingyi

doi:10.1016/j.ecolind.2022.108743

Cited by 28 publications

(16 citation statements)

References 71 publications

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“…land certification increases the land renting-out by less productive farmers and the land renting-in by more productive farmers [ 18 ]. Under the influence of local planning and policy implementation, in China, the transformation of regional land-use types leads to an increased strain on limited land resources and frequent conflicts between various land-use types [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

The impact of migration characteristics on rural migrant households’ farmland use arrangements in China

2022

PLoS ONE

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This paper investigates the impacts of migration characteristics on rural migrant households’ farmland use arrangements in China. The results reveal that trailing migration, duration of migration and the proportion of co-migrants have a significant effect on the probability of rural migrant households’ farmland abandonment. Commercial employment migration has a negative impact on the abandonment of farmland by migrant families. Migrant households are most likely to choose farmland abandonment in the western and middle regions of China and in small farmland areas. In the eastern region, and first tier and second tier Chinese cities, migrant households are more inclined to choose farmland transfer. Household earnings increase, which induces households to gradually give up the cultivation of farmland or to transfer farmland, constituting a mechanism in Chinese households’ farmland use arrangements. Notably, the consolidation of arable land should be the focus in areas of low economic development. Furthermore, an effective mechanism for the transfer of farmland should be established.

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Section: Introductionmentioning

confidence: 99%

The impact of migration characteristics on rural migrant households’ farmland use arrangements in China

2022

PLoS ONE

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“…The conflict of the PLES is essentially the result of the need to make trade-offs between the quantity of land and its usage because of the limited amount of territory and the constraints of the climatic environment [ 12 ], which, in turn, leads to conflicts, manifested in the process of spatial and temporal competition and gaming between various land use subjects in the same location for spatial resources with land as the core [ 13 , 14 ]. Research on land use conflicts is divided into conflict identification [ 15 ], spatial evolution [ 11 ], and drivers [ 16 , 17 ]; thus far, as far as scenario simulation is concerned, theories and methods for simulating land use changes based on various scenarios have gradually matured with the advancement of land use research [ 1 ]. Different research methods have different applicability and characteristics, and simulation models are broadly divided into quantitative forecasting models and spatial pattern forecasting models.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, rural populations have generally declined in countries around the world, and the hollowing out of people first emerged with the urbanization and industrialization process of recent years. Over the past forty years or so, China’s rate of urbanization has increased from 17.92% in 1978 to 64.72% in 2021, and the rapid development of urbanization and rapid industrialization has caused a strong squeeze on ecological space and agricultural production space [ 1 ], creating a number of issues, including the loss of water and soil resources, the ruination of the ecological environment and the deterioration of human quality of life, which has intensified the competition between ecological areas, production areas and living areas. The competition between ecological space, production space and living space has intensified, leading to land use conflicts between PLES [ 2 ]; this conflict, further, causes contradictions in the use of land and space to intensify.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Carrying Capacity and Suitability of Spatial Resources and the Environment and Diagnosis of Obstacle Factors in the Yellow River Basin

Chen

Liu

et al. 2023

IJERPH

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The assessment of the carrying capacity and suitability of spatial resources and the environment can provide effective guidance for regional planning and make vital contributions to the high-quality advancement of society and the economy. Additionally, this scientific evaluation of the spatial carrying capacity and suitability of urban production–living–ecological space (PLES) has important scientific value as well as practical significance for territorial spatial planning. This paper takes the cities along the Yellow River Basin (YRB) as the research object; establishes the PLES resource and environment carrying capacity evaluation index system; uses the multi-indicator superposition method and entropy weight method to evaluate the ecological importance, production and life carrying capacity of 78 cities in the YRB from 2010 to 2020; obtains the final ecological importance, production and life suitability levels based on the carrying capacity combined with the location conditions; and uses exploratory spatial data analysis (ESDA), the barrier degree model and other methods to determine the cities’ spatial and temporal patterns and influencing factors. The findings indicate that: (1) Ecological importance is characterized by “high upstream and low downstream”; the suitability for production is higher mainly in the eastern coastal area; the suitability of life as a whole is increasing, and the higher grade is in some provincial capitals and surrounding cities. (2) The local Moran’s I all passed the test, and the relationship between PLES showed a significant positive spatial correlation. The clustering characteristics of ecological importance and production suitability are strong, while the clustering characteristics of suitability for living functions are relatively weak. (3) Biodiversity, significance of water conservation and significance of wind and grit control functions are the main barrier factors affecting the ecological importance of the YRB; industrial value-added output per unit of industrial land, number of industrial enterprises above the scale and GDP per capita are the dominant factors affecting the production suitability of the study area; total water-resource utilization per capita, total sewage treatment per capita and residential land area per capita are the main barrier factors of living suitability.

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“…These changes in SCL occur differently across topographic gradients at different times. Therefore, we proposed a conceptual framework for the spatiotemporal evolution of SCL use in the KMA based on studies of woodland transformation (Liu et al, 2019), the transformation of traditional cultivated land use (Liang, Li, Shao, & Ran, 2020), and mountainous land use transformation (Zuo et al, 2022) (Figure 1). The spatiotemporal evolution of SCL is a change in the distribution, scale, and shape of SCL caused by multiple factors, such as the regional natural environment and socio‐economic factors, which are manifested in the gradual replacement of the previous SCL by another type of land (Long, 2015), which turns out the transformation of the SCL use pattern.…”

Section: Conceptual Framework Of the Spatiotemporal Evolution Of Scl ...mentioning

confidence: 99%

Spatiotemporal evolution and driving mechanism of slope cultivated land in karst mountainous areas of Southwest China—A case study of Puding County, Guizhou Province

Yu,

Li,

Luo

et al. 2023

Land Degrad Dev

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Slope‐cultivated land (SCL) is essential for food security and ecological protection in Southwest China's karst mountainous areas (KMA). Constructing a unified conceptual framework to study SCL's spatiotemporal evolution characteristics thoroughly and driving mechanisms can comprehensively reveal the development of regional human–land relations and sustainable land use. Therefore, this article first constructs a conceptual framework for the spatiotemporal evolution of SCL in the KMA of Southwest China and carries out a case study in Puding County, a typical karst mountainous area, based on high‐resolution remote sensing images from 2004 to 2020 and the digital elevation model (DEM), to analyze the spatiotemporal evolution characteristics of SCL in different topographic gradients and introduce the Geodetector further to explore the driving factors of SCL evolution. The results show that the SCL is evolving toward fragmentation, driven by socio‐economic factors. The active policy of the state encourages to abandon steep SCL with poor productivity in the KMA, and the abandonment of SCL in high altitude steep slope areas into woodland and grassland brings remarkable ecological benefits, while the evolution of SCL in low altitude gentle slope areas toward economic fruit forest generates significant obvious ecological‐economic win‐win benefits. The evolution of SCL in southwestern karst mountains has promoted regional ecological restoration and made an important contribution to the greening of the world by reducing land degradation (karstic rocky desertification, KRD). The present research results can provide ideas for the utilization, functional transformation, and ecologically sustainable development of similar mountainous SCL.

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Impacts of future land use changes on land use conflicts based on multiple scenarios in the central mountain region, China

Cited by 28 publications

References 71 publications

The impact of migration characteristics on rural migrant households’ farmland use arrangements in China

The impact of migration characteristics on rural migrant households’ farmland use arrangements in China

Assessment of the Carrying Capacity and Suitability of Spatial Resources and the Environment and Diagnosis of Obstacle Factors in the Yellow River Basin

Spatiotemporal evolution and driving mechanism of slope cultivated land in karst mountainous areas of Southwest China—A case study of Puding County, Guizhou Province

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