Optimization of land-use management for ecosystem service improvement: A review

Gui, Jin; Deng, Xiangzheng; Chu, Xi; Li, Zhihui; Yuan, Wang

doi:10.1016/j.pce.2017.03.003

Cited by 57 publications

(27 citation statements)

References 38 publications

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“…As one of the most basic means of agriculture, cultivated land (CL) provides the basis for human survival, reproduction, and development. However, the rapid growth of the world's population has put tremendous pressure on the limited CL resources (Yang et al, 2000;Deng et al, 2005;Jin et al, 2017). In recent years, the CL resources in China have faced the problems of low quantity, low quality, low utilization efficiency, and insufficient reserve resources (Deng et al, 2015;Jin et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal variations of cultivated land use efficiency in the Yangtze River Economic Belt based on carbon emission constraints

Luo

Zuo

et al. 2020

J. Geogr. Sci.

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In this study, the carbon emissions (CEs) from cultivated land (CL) were included as an undesirable output in the utilization efficiency of such land. A slack-based model was used to calculate the CL use efficiency (CLUE) for 11 provinces and cities in the Yangtze River Economic Belt (YREB) from 2007 to 2016, and then a kernel density estimation map was drawn to analyze the spatiotemporal variations of CLUE. The Tobit model was also employed to analyze the factors affecting the CLUE. The results show the following. 1) In the YREB, the CEs from CL showed a rising and then a slowly decreasing trend. In this paper, we calculate CEs by carbon emission factors and major carbon sources, and the CEs from CL in the YREB totaled 25.2354 million tons in 2007. By 2014, the value had increased gradually to 28.4400 million tons, and by 2016 it had declined to 27.8922 million tons, suggesting that the carbon-emission reduction measures of the government had an impact. 2) The CLUE of various provinces and cities in the YREB showed an upward trend in the time dimension, while for the spatial dimension, the kernel density was high in the east and low in the west, and the areas with high kernel density were mainly located in the Yangtze River Delta. 3) The per capita gross domestic product, the primary industrial output, and the number of agricultural technicians per 10,000 people had positive effects on the CLUE. The CL area per capita and the electrical power per hectare for agricultural machinery had significant negative impacts on CLUE. In addition, every 1% increase in the number of agricultural technicians increased the CLUE by 0.057%.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal variations of cultivated land use efficiency in the Yangtze River Economic Belt based on carbon emission constraints

Luo

Zuo

et al. 2020

J. Geogr. Sci.

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“…This study aims to clarify the scientific connotation of the patterns of ecological security identified by the evaluation indicators of the importance of the habitat, its ecological sensitivity, and the connectivity of its landscape (Azaele et al, 2015;Costanza and Terando, 2019). These indicators are then combined to express the characteristics of human behavior and urban expansion, such as the rate of land urbanization, GDP density, population density, and access for traffic (Jin et al, 2017).We assessed the importance and potential of each street of Wuhan in the patterns of spatial development, and streets with remarkable advantages were used as core areas of development. Due to the obstruction of such agricultural and ecological surface features as permanent basic cropland and wetland, it is necessary to first construct the resistance surface to express the characteristics of flow of the spatial elements (Martin et al, 2018).…”

Section: Identifying Core Area and Extracting Resistance Surfacementioning

confidence: 99%

Designing a spatial pattern to rebalance the orientation of development and protection in Wuhan

Gui

Shi

et al. 2020

J. Geogr. Sci.

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Patterns of spatial development and protection form a basic category of geoscience, and redesigning them is a popular subject of research in regional sustainable development that is important for ecological civilization construction. The authors here report a case study of Wuhan city using the circuit theory model and minimum cumulative resistance (MCR) model to rebalance its spatial protection and development. The results show the following: (1) Using the density of the gross domestic product (GDP), density of population, rate of urbanization, and access to transportation as evaluation indicators, seven core areas of development in Wuhan were identified, accounting for 59% of the total number of streets, that exhibited a "circular-satellite" spatial structure. (2) According to the importance of ecosystem services, ecological sensitivity, land use type, and slope of the terrain, the resistance surface of spatial development in Wuhan had a stereoscopic spatial form of an "inverted pyramid," with high surroundings and a low center. The area of low resistance accounted for 6.64% of the total area of Wuhan. (3) Based on coupling analysis using the MCR and spatial morphological characteristics of current, nine axes of spatial development with a total area of 427.27 km² and eight key strategic points with a total area of 40.02 km² were identified. Streets that were prioritized for development accounted for 9.63% of Wuhan's total area. (4) By combining the characterization of the development axis with the structure of the three-level core area, we extracted the structure of spatial development of "one heart, two wings, and three belts" in Wuhan. The research framework and empirical results can provide scientific guidance for the urban spatial layout, the development of regional linkages, and ecological environmental protection in China.

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“…The DLS is a collection of programs that simulates pattern changes in land uses under given land use scenarios by integrating several driving factors of spatial pattern changes, land use conversion rules and dynamic spatiotemporal processes of land use changes. The combination of CGELUC and DLS models can be applied to simulate and predict regional land use change, including forest land under different scenarios ( Jin et al, 2017), whereas Luo et al (2014) applied the CGELUC to predict changes of forest resources in the Yunnan province during the period of 2008-2020 under the baseline scenario, a low total factor productivity (TFP) scenario, and a high TFP scenario. Overall, forestry management strategies will depend on the dynamic changes of forest resources, which can be presented clearly through big data technologies and scenario-based modeling.…”

Section: Big Data Inmentioning

confidence: 99%

The role of big data in China’s sustainable forest management

Hasan

Zhang

Chu

et al. 2019

FER

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Purpose Forest as a vital natural resource in China plays an irreplaceable important role in safeguarding ecological security and human survival and development. Due to the vast territory, huge population and widespread forest landscape of China, forest management is a complex system involving massive data and various management activities. To effectively implement sustainable forest management, the big data technology has been utilized to analyze China’s forestry resources. Thus, the purpose of this paper is to clarify the role of big data technology in China’s forest management. Design/methodology/approach In this paper, the authors revisited the roles of big data in forest ecosystem monitoring, forestry management system development, and forest policy implementation. Findings It demonstrates that big data technology has a great potential in forest ecosystem protection and management, as well as the government’s determination for forest ecosystem protection. However, to deepen the application of big data in forest management, several challenges still need to be tackled. Originality/value Thus, enhancing modern science and technology to improve big data, cloud computing, and information technologies and their combinations will contribute to tackle the challenges and achieve wisdom of forest management.

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Optimization of land-use management for ecosystem service improvement: A review

Cited by 57 publications

References 38 publications

Spatiotemporal variations of cultivated land use efficiency in the Yangtze River Economic Belt based on carbon emission constraints

Spatiotemporal variations of cultivated land use efficiency in the Yangtze River Economic Belt based on carbon emission constraints

Designing a spatial pattern to rebalance the orientation of development and protection in Wuhan

The role of big data in China’s sustainable forest management

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