Land consolidation and eco-environmental sustainability in Loess Plateau: A study of Baota district, Shaanxi province, China

Bai, Yu; Liu, Yansui; Wang, Yongsheng; Yuan, Xiaomin

doi:10.1007/s11442-022-2020-7

Cited by 11 publications

(6 citation statements)

References 41 publications

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“…The significantly improved ecological function had led to a rapid improvement in production and living functions, indicating that a good ecological conservation and supply capacity are an essential foundation for increasing productivity and improving living standards. This result is in line with previous studies (Tan et al, 2019;Bai et al, 2022;Qian et al, 2022;Wen et al, 2022). The significantly improved production function in Shaanxi, Inner Mongolia, Hebei, andLiaoning during 2000−2020 (Figures 4a-4e) may be a result of the implementation of the "Grain for Green" project, which brought about significant ecological and economic benefits (Jian et al, 2022).…”

Section: Synergy Trend Of Rural Regional Functionssupporting

confidence: 90%

“…Lastly, the coordinated development regions play the demonstration role of coordinated development of rural functions. Innovative land engineering techniques and sustainable land use models (Liu and Wang, 2019;Bai et al, 2022) need to be summarized and popularized for other regions to improve the land quality and productivity and to provide a foundation for the integration of three industries and new livelihood for rural households.…”

Section: Differentiated Development Strategies Of Rural Regional Func...mentioning

confidence: 99%

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Evolution characteristics and driving factors of rural regional functions in the farming-pastoral ecotone of northern China

Cui,

Deng,

Wang

2023

J. Geogr. Sci.

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Rural decline is a global issue accompanied by the regional imbalanced development and dysfunction in rural areas. Coordinated interaction among production, living, and ecological functions is essential for the sustainability of rural regional systems. Based on the framework of "element-structure-function", an indicator system was constructed to explore the evolution characteristics and driving factors of rural regional functions in the farming-pastoral ecotone of northern China (FPENC) using the models of entropy-based TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), revised vertical and horizontal comparison, and GeoDetector. The results indicated a gradual synergy of rural production, living, and ecological functions during the period 2000-2020. Improvements were observed in production and living functions, and higher ecological function was found in Hebei, Inner Mongolia, Liaoning, and Shaanxi. However, conflicts between ecological function and production and living functions were evident in Shanxi, Gansu, and Ningxia. The spatial structure played a dominant role in determining rural production, living, and ecological functions, with ratios of 38%, 56%, and 84%, respectively. Land and industry emerged as the main driving factors influencing the evolution of rural regional functions. Notably, combined interactions of rural permanent population and primary industry output (0.73), grassland area and tertiary industry output (0.58), and forest area and tertiary industry output (0.72) were responsible for the changes observed in rural production, living, and ecological functions, respectively. The findings suggest that achieving coordinated development of rural regional functions can be accomplished by establishing differentiated rural sustainable development strategies that consider the coupling of population, land, and industry in FPENC.

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Section: Synergy Trend Of Rural Regional Functionssupporting

confidence: 90%

Section: Differentiated Development Strategies Of Rural Regional Func...mentioning

confidence: 99%

Evolution characteristics and driving factors of rural regional functions in the farming-pastoral ecotone of northern China

Cui,

Deng,

Wang

2023

J. Geogr. Sci.

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“…The environmental problems faced by each integrated management zone are different, so the restoration measures adopted are also different [64]. The loess gully and loess hilly gully regions are the main vegetation restoration areas, which have obtained considerable ecological and economic benefits by developing forestry and fruit industries.…”

Section: Discussionmentioning

confidence: 99%

Do Ecological Restoration Projects Undermine Economic Performance? A Spatially Explicit Empirical Study in Loess Plateau, China

Xie

Paudel

2023

Remote Sensing

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Exploring the complex relationship between ecological restoration and economic development is valuable for decision makers to formulate policy for sustainable development. The large-scale environmental restoration program—Grain for Green—was mainly implemented in the Loess Plateau of China to improve the soil retention service. However, whether this world-famous program affects local economic development has not been fully explored. In this study, using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and spatializing the gross domestic product (GDP) based on the remotely sensed nightlight data, we explored the tradeoff between environment (i.e., soil retention service) and economy (i.e., GDP) for the Loess Plateau in a spatially explicit way. We found that the soil retention service increased prominently over the past 40 years, especially after implementing the Grain for Green project. Meanwhile, the GDP increased about nine-fold over the past four decades from 4.52 to 40.29 × 107 USD. A win–win situation of soil retention and economic development was achieved in the Loess Plateau of China, particularly in the loess gully and loess hilly gully regions of the Loess Plateau. The win–win situation of soil retention and economic development was as a result of the Grain for Green program, the optimization of industrial structure, and the increase in non-agriculture employment. Compared with previous studies, more spatial information was available for the Loess Plateau in this study, which is more valuable to policymakers.

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“…However, because of the nature of the environment, prolonged heavy rainfalls, and the growing population leading to the expansion of habitation and the development of social and economic activities in the area, various disasters including landslides tend to occur frequently in the area. In response to this, the assessment and management of these disasters are considerably important [59,62]. Thus, we developed this LSM study, particularly for this area, as a helpful tool in assessing and managing landslides and their impacts.…”

Section: Overview Of the Study Areamentioning

confidence: 99%

Landslide Susceptibility Mapping Using DIvisive ANAlysis (DIANA) and RObust Clustering Using linKs (ROCK) Algorithms, and Comparison of Their Performance

et al. 2023

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Landslide susceptibility mapping (LSM) studies provide essential information that helps various authorities in managing landslide-susceptible areas. This study aimed at applying and comparing the performance of DIvisive ANAlysis (DIANA) and RObust Clustering using linKs (ROCK) algorithms for LSM in the Baota District, China. These methods can be applied when the data has no labels and when there is insufficient inventory data. First, based on historical records, survey reports, and previous studies, 293 landslides were mapped in the study area and 7 landslide-influencing attributes were selected for modeling. Second, the methods were clustered in the study area mapping units into 469 and 476 subsets, respectively; for mapping landslide susceptibility, the subsets were classified into 5 susceptibility levels through the K-means method using landslide densities and attribute values. Then, their performances were assessed and compared using statistical metrics and the receiver operating curve (ROC). The outcomes indicated that similarity measures influenced the accuracy and the predictive power of these clustering models. In particular, when using a link-based similarity measure, the ROCK performed better with overall performance accuracy of 0.8933 and an area under the curve (AUC) of 0.875. The maps constructed from the models can be useful in landslide assessment, prevention, and mitigation strategies in the study area, especially for areas classified with higher susceptibility levels. Moreover, this comparison provides a new perspective in the selection of a considerable model for LSM in the Baota District.

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Land consolidation and eco-environmental sustainability in Loess Plateau: A study of Baota district, Shaanxi province, China

Cited by 11 publications

References 41 publications

Evolution characteristics and driving factors of rural regional functions in the farming-pastoral ecotone of northern China

Evolution characteristics and driving factors of rural regional functions in the farming-pastoral ecotone of northern China

Do Ecological Restoration Projects Undermine Economic Performance? A Spatially Explicit Empirical Study in Loess Plateau, China

Landslide Susceptibility Mapping Using DIvisive ANAlysis (DIANA) and RObust Clustering Using linKs (ROCK) Algorithms, and Comparison of Their Performance

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