Spatio-Temporal Changes in Ecosystem Service Value and Its Coordinated Development with Economy: A Case Study in Hainan Province, China

Fu, Jie; Zhang, Qing; Wang, Ping; Zhang, Li; Tian, Yanqin; Li, Xingrong

doi:10.3390/rs14040970

Cited by 32 publications

(17 citation statements)

References 63 publications

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“…According to existing research, this result may be related to the concentration of urban industrial chains, regional urban governance and planning, and the influence of non-urbanization factors such as vegetation coverage and precipitation on the ES supply-demand [51]. Our results were also consistent with previous studies and indicated that, although urbanization is the most important factor affecting the regional supply and demand of ESs, ecosystems are being changed by a combination of natural factors and human disturbances [52,53]. Positive human disturbances may promote the sustainable development of regional ESs.…”

Section: The Impact Of Urbanization On the Supply And Demand Of Ecosy...supporting

confidence: 91%

Urbanization Intensifies the Mismatch between the Supply and Demand of Regional Ecosystem Services: A Large-Scale Case of the Yangtze River Economic Belt in China

et al. 2022

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The process of rapid urbanization has been causing non-negligible disturbances to our ecosystems, which has aggravated the mismatch between ecosystem service (ES) supply and demand. A clear understanding of the relationship between the ES supply–demand mismatch and urbanization is crucial as it could have a lot of significance for implementing ecological compensation and conservation action. Although a large number of studies have explored this problem, previous studies have focused primarily on the spatial mismatching of the ESs, and only a few studies have considered the spatial relationship between the ES supply–demand mismatch and urbanization at the watershed scale. Taking the Yangtze River Economic Belt (YREB) as an example, this study quantitatively assesses the supply and demand of five ESs, including carbon sequestration, water retention, soil conservation, food production, and recreational opportunity. The bivariate Moran’s I method was used to analyze and visualize the spatial correlation between the ES supply–demand mismatch and urbanization. The results indicate that both the total supply and the total demand of the five ESs increased, while the increasing rate of total demand was higher than the total supply of the ESs; this resulted in a significant spatial mismatch between the supply and demand of the ESs from 2000 to 2020. There is also a negative spatial correlation between the ES supply–demand and urbanization, while the results of local spatial clustering have obvious spatial heterogeneity. The metropolis and its surrounding counties are mostly the ES supply and demand deficit area, but some surrounding counties have managed to transform a deficit into a surplus. These results indicate that urbanization has a certain interference on the mismatch of the ES supply and demand, and this interference is not irreversible. Moreover, this study provides a reliable reference for government management in the context of balancing urbanization and the ecosystem.

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Section: The Impact Of Urbanization On the Supply And Demand Of Ecosy...supporting

confidence: 91%

Urbanization Intensifies the Mismatch between the Supply and Demand of Regional Ecosystem Services: A Large-Scale Case of the Yangtze River Economic Belt in China

et al. 2022

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“…To understand whether there are areas of high-value aggregation (hot spots) and low-value aggregation (cold spots) in the YRBIM for ecological risk indices, cold and hot spot analysis (Getis-Ord Gi*) was chosen to identify the spatial distribution of cold and hot spots [39]. The calculation equation is as follows:…”

Section: Analysis Of Spatial and Temporal Changes In Ecological Risk ...mentioning

confidence: 99%

Spatio-Temporal Assessment of Landscape Ecological Risk and Associated Drivers: A Case Study of the Yellow River Basin in Inner Mongolia

Zhang

et al. 2023

Land

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The Yellow River Basin in Inner Mongolia (YRBIM) has witnessed major changes in land use/land cover (LULC), which have had an impact on the basin’s ecosystem, in the context of fast economic development and urbanization. This study set out to investigate the ecological risk and key driving forces in the basin as LULC evolves. In order to evaluate the ecological risk of the basin and use a geographic detector model to understand the causes of its spatial heterogeneity, we built a landscape ecological risk index (ERI) model based on changes in LULC from 1990 to 2020. The findings indicate that between 1990 and 2020, LULC modifications led to the transfer of several land types to a small number of land types, all of which have since changed into other land types. With high risk areas primarily located in the Hobq Desert, the Hetao irrigation area, and some portions of the Mu Us Sandy Land, the ecological risk level in the basin is gradually decreasing. Human activities are the main cause of the regional variation of ecological risk in the basin, with topography and climate coming in second and third. The Yellow River Basin’s ecological danger and environmental quality have only received a limited amount of analysis to date. This study is a crucial resource for the development of civilization and ecological restoration in the region.

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“…However, there is an urgent appeal for the exploration of EL at the regional level. In the background of regional integration and development, changes in the spatial layout and scale of various land use types are inevitable [13,15]. Exploration at the regional scale can contribute to the systematic protection of EL and the holistic functioning of ecosystems within regions.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evolution and Factors Influencing Regional Ecological Land in a Multidimensional Perspective: A Case Study of the Beijing–Tianjin–Hebei Region

Wang,

Xu,

Huang

et al. 2024

Remote Sensing

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A systematic analysis of the spatiotemporal evolution patterns and factors influencing ecological land (EL) can support the optimization of EL protection policies and ensure the stability of regional ecosystems. Based on remote sensing data, using the gravity center shift model, the landscape pattern index, and the equivalent factor method, the characteristics of EL evolution in the Beijing–Tianjin–Hebei (BTH) region from 1980 to 2020 were analyzed. A fixed-effects model was used to quantitatively explore the factors influencing EL evolution and heterogeneity analysis. The results are as follows: (1) The EL area exhibited a trend of initial decrease followed by a subsequent increase during the study period. The most significant area transfer occurred between cropland and EL, but, after the 21st century, the proportion of area transfer between construction land and EL noticeably increased. (2) The compactness and fragmentation of EL showed a certain spatiotemporal stability, but the spatial distribution of compactness and fragmentation hot and cold spots exhibited significant differences. The fragmentation hot spots mainly displayed a strip distribution, while those of compactness showed a clustered distribution. (3) Although the ecosystem service value in the BTH region demonstrated dynamic “M”-shaped changes, the distribution of hot and cold spots still exhibited spatial stability. Regulating services consistently occupied a higher proportion of the sub-service functions, while cultural services still needed further enhancement. (4) Factors influencing the evolution of areas and values demonstrated similarities. The landscape was significantly influenced by construction land, showing a non-linear “U”-shaped relationship with fragmentation. Different economic development gradients and altitudes exhibited differentiated characteristics in terms of their influencing factors. This study provides scientific support for dynamically and precisely adjusting governmental EL management policies, contributing to the sustainable development of regional socio-economics.

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Spatio-Temporal Changes in Ecosystem Service Value and Its Coordinated Development with Economy: A Case Study in Hainan Province, China

Cited by 32 publications

References 63 publications

Urbanization Intensifies the Mismatch between the Supply and Demand of Regional Ecosystem Services: A Large-Scale Case of the Yangtze River Economic Belt in China

Urbanization Intensifies the Mismatch between the Supply and Demand of Regional Ecosystem Services: A Large-Scale Case of the Yangtze River Economic Belt in China

Spatio-Temporal Assessment of Landscape Ecological Risk and Associated Drivers: A Case Study of the Yellow River Basin in Inner Mongolia

Spatiotemporal Evolution and Factors Influencing Regional Ecological Land in a Multidimensional Perspective: A Case Study of the Beijing–Tianjin–Hebei Region

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