Spatio-temporal evolution and optimization analysis of ecosystem service value - A case study of coal resource-based city group in Shandong, China

Han, Jiazheng; Hu, Zhenqi; Wang, Peijun; Yan, Zhen; Li, Gensheng; Zhang, Yuhang; Zhou, Tao

doi:10.1016/j.jclepro.2022.132602

Cited by 50 publications

(14 citation statements)

References 36 publications

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“…However, due to the spatiotemporal heterogeneity feature, the ecosystem service value of micro-scale (e.g., tourist destination) is often neglected, so some studies try to overcome this problem. Han(2022), Tan(2020), and Su (2020) selected spatio-temporal heterogeneity factors to construct modified model for calculating the ESV, and verified the model's validity. In this study, we propose a model for calculating the ESV of lake-type tourist destination, and calculated value is in the range of 30.15-36.85 billion yuan.…”

Section: Discussion Of the Research Methodologymentioning

confidence: 93%

Spatio-temporal characteristics and development trends of ecosystem service value in lake- based tourist destinations under the metacoupling framework - A case study of Chun'an County, Zhejiang Province, China

Jiang,

Lu,

Ren

et al. 2023

Preprint

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Context With the rapid development of China's tourism industry, tourism has become a strategic pillar industry of the national economy. Understanding the spatio-temporal characteristics and development trend of ecosystem service value of tourist destinations is a prerequisite for realizing the sustainable development. however, few studies have explored it from the metacoupling perspective, which is of great significance for us to discern and understand the relationship between tourism development and ecological conservation. Objectives The goal is explore the the regularity of ecosystem service value evolution in lake-based tourist destinations and the path towards sustainable development. Methods We used the metacoupling framework of tourist destinations and Patch-level Land Use Simulation model (PLUS) to diagnose the spatio-temporal evolution pattern of ecosystem service value in Chun'an County, and explore paths to a sustainable future for tourist destinations. Results The ecological service value of Chun'an County has decreased from 32.71 billion RMB to 30.15 billion RMB over the past two decades, and intensive human activities have significantly weakened the ecological service value of tourism destination, but the overall ecological environment of Chun'an County has tended to improve. Conclusions Rational tourism development can notably enhance the relationship between humans and nature, and it is imperative to reinforce ecological management while regulating excessive human activities in the future construction of lake-based tourist destinations.

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Section: Discussion Of the Research Methodologymentioning

confidence: 93%

Spatio-temporal characteristics and development trends of ecosystem service value in lake- based tourist destinations under the metacoupling framework - A case study of Chun'an County, Zhejiang Province, China

Jiang,

Lu,

Ren

et al. 2023

Preprint

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“…It enables the integration of economic and ecological factors, as well as other variables according to the planner's specific requirements, facilitating the optimization of the structure by defining the objective function and constraint conditions. Drawing upon previous studies that have proposed objective optimization functions and constraint functions, and taking into account the specific characteristics of the UANSTM (Han, Hu, et al, 2022; Liu et al, 2022; Wang et al, 2018), we employed Matlab software to construct land use change models within the UANSTM across four scenarios.…”

Section: Methodsmentioning

confidence: 99%

Research on habitat quality in arid urban agglomerations: Influencing mechanisms and multi‐scenario simulations

Han,

Zheng,

Han

et al. 2024

Land Degrad Dev

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In the context of climate change and rapid urbanization, there have been unparalleled changes in land use and land cover (LULC), resulting in substantial impacts on the surrounding habitat quality (HQ), particularly in ecologically vulnerable arid regions. However, previous studies on the influencing mechanisms of HQ in arid urban agglomerations and future multi‐scenario simulations remain limited. To fill this knowledge gap, this study aimed to reveal the influencing mechanisms in HQ changes and to develop a multi‐scenario HQ assessment framework within arid urban agglomerations. We assessed the spatiotemporal variations in HQ using the InVEST model and three periods of LULC data for the urban agglomeration on the northern slope of the Tianshan Mountains (UANSTM), and the partial least squares structural equation model was introduced to explore the interactions between natural and non‐natural factors and their impacts on HQ. Additionally, we coupled multi‐objective programming and PLUS models to predict the LULC under different optimization scenarios (natural development scenario (NDS), ecological protection scenario (EPS), ecological–economic coordinated scenario, and economic development scenario) for the UANSTM in 2030, and to assess HQ. Results show that (1) the HQ index of the UANSTM was 0.507, 0.520, and 0.495 in 2000, 2010, and 2020 respectively, with a spatial distribution pattern of high values in the west, low values in the east, and high in the central and low in the north and south; (2) geomorphic, climatic, and LULC factors have direct positive effects on HQ, while socio‐economic factors have a direct negative effect on HQ. In addition, geomorphic, socio‐economic, and climatic factors also influence HQ through potential indirect paths. Climatic and LULC factors enhance the positive effect of geomorphic on HQ while counteracting the direct negative effect of socio‐economic factors on HQ. Climatic factors have the largest negative effect on HQ through their influence on LULC; (3) according to the four scenarios in 2030, the highest HQ index (increased by 0.13%) was found under the EPS, which also aligns more closely with SDGs. Conversely, NDS showed the lowest HQ index (declined by 2.59%). The research results could provide a scientific basis for promoting sustainable land management and ecological conservation for the UANSTM.

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“…Three scenarios were de- [57,58]. The economic priority scenario means maximizing economic benefits from different land use patterns, and the ecological conservation scenario means maximizing ecological benefits from different land use patterns [46,59]. A Multi-Objective Programming (MOP) model was constructed to determine the area of each land use type in 2035 under the economic priority scenario and the ecological protection scenario.…”

Section: Scenario Settingmentioning

confidence: 99%

Multi-Scenario Land Use Change Simulation and Spatial Response of Ecosystem Service Value in Black Soil Region of Northeast China

Jiang

Teng

et al. 2023

Land

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Simulating the spatial response of ecosystem service value (ESV) caused by land use change in Heilongjiang Province under different scenarios in the future is of great significance for ensuring ecological security and sustainable development in the region. Heilongjiang Province, an important grain-producing region in China, is taken as the research area in this study. Five land use maps (2000, 2005, 2010, 2015, and 2020) were used to evaluate the change of ecosystem service value in Heilongjiang Province in the past 20 years. In addition, the area of each land use type under different future scenarios was predicted by Markov model and MOP model, the future land use pattern was simulated based on PLUS model, the ESV under different scenarios was calculated, and the spatial distribution and the degree of ESV clustering were further explored. The results show that: (1) During 2000–2020, the built-up land in Heilongjiang Province continued to grow, with a total increase of 5076 km2 during the 20-year period, the area of water continued to grow, the area of unused land gradually decreased, and the area of farmland and forest land changed less. (2) During the study period, the ESV in 2000, 2005, 2010, 2015, and 2020 were 1320.8 billion yuan, 1334.5 billion yuan, 1342.1 billion yuan, 1327.6 billion yuan, and 1328.4 billion yuan, respectively. Generally, it shows a fluctuating trend. (3) The ESV of natural development scenario (NDS), economic priority scenario (ERS) and ecological protection scenario (EPS) are 1334.3 billion yuan, 1254.8 billion yuan and 1455.6 billion yuan, respectively. The ESV of different scenarios is quite different. (4) The spatial distribution of ESV was higher in the northwest, central, and southeast, and lower in the east and west. The hot and cold spots of ESV are widely distributed and the degree of polymerization is high. The methods and conclusions of this study can provide scientific reference for the optimization of national spatial pattern and the formulation of sustainable development policy.

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Spatio-temporal evolution and optimization analysis of ecosystem service value - A case study of coal resource-based city group in Shandong, China

Cited by 50 publications

References 36 publications

Spatio-temporal characteristics and development trends of ecosystem service value in lake- based tourist destinations under the metacoupling framework - A case study of Chun'an County, Zhejiang Province, China

Spatio-temporal characteristics and development trends of ecosystem service value in lake- based tourist destinations under the metacoupling framework - A case study of Chun'an County, Zhejiang Province, China

Research on habitat quality in arid urban agglomerations: Influencing mechanisms and multi‐scenario simulations

Multi-Scenario Land Use Change Simulation and Spatial Response of Ecosystem Service Value in Black Soil Region of Northeast China

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