Urban land use change simulation and spatial responses of ecosystem service value under multiple scenarios: A case study of Wuhan, China

Ren, Wei; Hongjie, Peng

doi:10.1016/j.ecolind.2022.109526

Cited by 42 publications

(25 citation statements)

References 76 publications

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“…Based on the equivalent scale of ecosystem service value per unit area of the Chinese terrestrial ecosystem established by Xie Gaodi et al [33]. Based on the type of land use in the study area, the built-up land service value equivalent was set to 0 [2,5,53]. Based on the equivalence coefficient method, the ecosystem service value of Heilongjiang Province was assessed (Equations ( 1) and ( 2)).…”

Section: Esv Evaluationmentioning

confidence: 99%

Section: Esv Evaluationmentioning

confidence: 99%

“…Hotspot analysis (Getis-Ord Gi*) is a common tool used to identify the spatial distribution of cold and hot spot areas, which can effectively identify spatially statistically significant cold and hot spot areas [62]. In this study, hotspot analysis (Equations ( 9)-( 11)) was used to determine the spatial clustering relationship between high-value and low-value areas of ecosystem service values in Heilongjiang Province [53].…”

Section: Subsectionmentioning

confidence: 99%

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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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Section: Esv Evaluationmentioning

confidence: 99%

Section: Esv Evaluationmentioning

confidence: 99%

Section: Subsectionmentioning

confidence: 99%

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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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“…Ecosystem service value (ESV) is a quantitative expression of the ecosystem services of a tourist destination (Costanza et al 1997), and there is a wealth of research on evaluating the ecosystem conditions of a region by means of ESV (Zhou et al 2022;Zhang et al 2022a;Guo et al 2022). However, studies exploring the spatio-temporal changes and evolutionary trends of ecosystems at the destination scale are very limited (Wang et al 2022b), and even fewer studies have been conducted on lake-type tourist destinations.…”

Section: Introductionmentioning

confidence: 99%

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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“…The research objects include forests [9,10], land [11,12], and landscapes [13]. The research methods include pressurestate-response (PSR) models [14], ecological footprints [15][16][17], and ecosystem service values [18,19]. Among these methods, the good performance of the PSR model makes it widely used in ES evaluation at different spatial scales.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Prediction of Land Use Ecological Security in the Kashgar Region Based on Grid GIS

Rao

2022

Sustainability

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Predicting trends in land use/cover change (LUCC) and assessing future ecological security (ES) can help effectively balance regional ecological conservation and economic development. In this study, a land use simulation model was used to predict the spatial-temporal variation in land use in Kashgar in 2030 under three scenarios (inertial development, agricultural land protection, and forest and rangeland conservation). Subsequently, by combining the pressure–state–response model and predicted land use, the ES of the Kashgar region in 2000, 2010, and 2020 were evaluated. We found that (1) only agricultural land and built-up land in the Kashgar region increased from 2000–2020 by 4174.79 and 434.44 km2, respectively. (2) The area of the region belonging to a generally safe level or above decreased from 38.36% in 2000 to 36.89% in 2010 and then increased to 37.71% in 2020. (3) In 2030, the ES status under the three scenarios will be improved, among which the agricultural land protection scenario corresponds to the best ES status. This research is valuable for deeply understanding the interaction mechanism between LUCC and ES in typical artificial oases in arid areas of the Kashgar region and sustaining relatively stable internal structures and socioeconomic activities in the arid oasis of the Kashgar region.

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Urban land use change simulation and spatial responses of ecosystem service value under multiple scenarios: A case study of Wuhan, China

Cited by 42 publications

References 76 publications

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

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

Evaluation and Prediction of Land Use Ecological Security in the Kashgar Region Based on Grid GIS

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