Investigating the Spatiotemporally Varying Correlation between Urban Spatial Patterns and Ecosystem Services: A Case Study of Nansihu Lake Basin, China

Li, Cheng; Zhao, Jie

doi:10.3390/ijgi8080346

Cited by 24 publications

(10 citation statements)

References 32 publications

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“…The workflow for exploring sustainable landscape with lower ecological risk using the STAPLE model Landscape ecological risk (LER) assessment based on LUCC is an effective method to quantify the stability of the landscape when the ecosystem is subjected to external stresses (He et al, 2009). A proper planning of landscape contributes to alleviating the adverse effects of urbanization (Li and Zhao, 2019). The STAPLE model is implemented to project the future landscape under different scenarios in pursuit of a sustainable development with lower LER.…”

Section: Local Roulette Competition Driven By Macro Demandsmentioning

confidence: 99%

WITHDRAWN: STAPLE: A land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution

Geng

Cheng

Shen

et al. 2023

Preprint

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Cellular automata (CA) based models are among the practical tools to simulate the spatiotemporal evolution of landscape induced by the land use/-cover change (LUCC). Existing models have been struggling to comprehensively handle the intricate spatiotemporal driving relationships amid the nonlinear LUCC process, inevitably leaving obstacles to promote the simulation accuracy. Besides, the landscape patterns, which are both the causes and consequences of various ecological processes, are not considered in most models, making them struggled to support the decision making on regional development strategies. Aiming at overcoming these obstacles, a novel land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution (STAPLE) is proposed in this paper. A potential generating module establishing the nonlinear spatiotemporal driving relationship and a spatial allocating module employing a landscape-based CA are integrated for a more realistic LUCC simulation. As a case study, the proposed model is applied in Zhengzhou, China to assess its performance. It is indicated that the STAPLE model achieved a higher simulation accuracy compared with the degraded models. Moreover, the landscape properties, i.e., the compactness and proximity of the patches, are effectively manipulated, which is verified by calculating the corresponding landscape indices. Furthermore, the STAPLE model is applied to explore a low-ecological-risk landscape under different future scenarios in 2035 and 2050. An infilling and remote development strategy is beneficial for Zhengzhou to control the landscape ecological risk induced by urban expansion. The STAPLE model provides a reproducible tool for policy-makers to support decision-making and achieve sustainable development.

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Section: Local Roulette Competition Driven By Macro Demandsmentioning

confidence: 99%

WITHDRAWN: STAPLE: A land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution

Geng

Cheng

Shen

et al. 2023

Preprint

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“…The implementation of the social equity principle related to urban green spaces often depends, among other criteria, on the number and accessibility of green spaces. The equity of green space resources cannot satisfy the basic principles of sustainable social development [22][23][24]. Urban green spaces differ based on plant species, plant community diversity, plant leaf area index, and other conditions.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Equity and Regional Management of Some Urban Green Space Ecosystem Services: A Case Study of Main Urban Area of Xi’an City

Dai

Zhang

et al. 2021

Forests

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Urban green spaces can provide many types of ecosystem services for residents. An imbalance in the pattern of green spaces leads to an inequality of the benefits of such spaces. Given the current situation of environmental problems and the basic geographical conditions of Xi’an City, this study evaluated and mapped four kinds of ecosystem services from the perspective of equity: biodiversity, carbon sequestration, air purification, and climate regulation. Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP) was used to obtain the partition groups of ecosystem services. The results indicate that first, the complexity of the urban green space community is low, and the level of biodiversity needs to be improved. The dry deposition flux of particulate matter (PM2.5) decreases from north to south, and green spaces enhance the adsorption of PM2.5. Carbon sequestration in the south and east is higher than that in the north and west, respectively. The average surface temperature in green spaces is lower than that in other urban areas. Second, urban green space resources in the study area are unevenly distributed. Therefore, ecosystem services in different areas are inequitable. Finally, based on the regionalization of integrated ecosystem services, an ecosystem services cluster was developed. This included 913 grid spaces, 12 partitions, and 5 clusters, which can provide a reference for distinct levels of ecosystem services management. This can assist urban managers who can use these indicators of ecosystem service levels for planning and guiding the overall development pattern of green spaces. The benefits would be a maximization of the ecological functions of green spaces, an improvement of the sustainable development of the city, and an improvement of people’s well-being.

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“…In the GWR model, the influence of each observation is determined by its geographic location and its distance from the observed points. Following earlier work, the Gaussian distance decay function was selected to express the spatial interactions as the decay function, which could be calculated by the following equation [ 68 ]. where w ij is the geographical weight of sample point j; d ij is the distance between sample points i and j; and h is the kernel bandwidth, which controls the effect of the distance on the weight value.…”

Section: Methodsmentioning

confidence: 99%

Integrating the effects of driving forces on ecosystem services into ecological management: A case study from Sichuan Province, China

et al. 2022

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Driving forces are the factors that lead to the observed changes in the quantity and quality of ecosystem services (ESs). The relationship between driving forces and ESs involves considerable scale-related information. Place-based ecological management requires this information to support local sustainable development. Despite the importance of scale in ES research, most studies have only examined the association between ESs and their drivers at a single level, and few studies have examined this relationship at various scales or analyzed spatial heterogeneity. The purpose of this paper is to explore the significance of the scale-dependent effects of drivers on ESs for localized ecological management. The biophysical values of ESs were calculated using several ecological simulation models. The effects of driving forces on ESs were explored using the geographically weighted regression (GWR) model. Variations in the effects of driving forces on ESs were examined at three scales: provincial, ecoregional, and subecoregional scales. Finally, canonical correlation analysis was used to identify the major environmental factors associated with these variations in each ecoregion. Our results show that (1) the distribution of soil conservation and water yield is highly heterogeneous; (2) four driving forces have significant positive and negative impacts on soil conservation and water yield, and their effects on the two services vary spatially (p < 0.05); (3) the impacts of drivers on ESs vary across different spatial scales, with a corresponding shift in the related environmental factors; and (4) in the study area, at the provincial scale, physical, topographical, and biophysical factors were key factors associated with the variations in the relationship between ESs and drivers, and at the ecoregional and subecoregional scales, physical, socioeconomic, topographical, and biophysical factors all contributed to these changes. Our results suggest that significant differences in topographical conditions (e.g., altitude, slope) can be incorporated for exploring the relationship between drivers and ESs and optimizing ecological management at the provincial scale, whereas significant differences in physical and socioeconomic conditions (e.g., urbanization levels, human activity, vegetation coverage) are more meaningful for localized ecological management at the ecoregional and subecological scales. These findings provide a basis for understanding the relationship between drivers and ESs at multiple scales as well as guidelines for improving localized ecological management and achieving sustainable development.

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Investigating the Spatiotemporally Varying Correlation between Urban Spatial Patterns and Ecosystem Services: A Case Study of Nansihu Lake Basin, China

Cited by 24 publications

References 32 publications

WITHDRAWN: STAPLE: A land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution

WITHDRAWN: STAPLE: A land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution

Evaluation of the Equity and Regional Management of Some Urban Green Space Ecosystem Services: A Case Study of Main Urban Area of Xi’an City

Integrating the effects of driving forces on ecosystem services into ecological management: A case study from Sichuan Province, China

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