Advancing a novel large-scale assessment integrating ecosystem service flows and real human needs: A comparison between China and the United States

Huang, Zheng; Zhang, Yanlong; Wang, Feifei; Cao, Wenzhi

doi:10.1016/j.jclepro.2021.128022

Cited by 14 publications

(5 citation statements)

References 56 publications

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“…Recently, research on the supply and demand of ESs has expanded from the regional scale to the global scale. For example, Huang et al (2021) integrated ES flows with real human needs and made a comparison between China and the United States. Khosravi Mashizi and Sharafatmandrad (2021)investigated trade-offs between the supply, use, and demand of ESs and their major drivers for sustainable environmental management.…”

Section: Introductionmentioning

confidence: 99%

Predicting the supply–demand of ecosystem services in the Yangtze River Middle Reaches Urban Agglomeration

Dai

Wang

Yang

et al. 2022

Progress in Physical Geography: Earth and Environment

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Ecosystem service (ES) supply and demand assessment is essential for understanding the inner relationships between ecosystems and humans and is useful when formulating future ecological policies. This study analyses the spatial and temporal variations in key ESs in the Yangtze River Middle Reaches Urban Agglomeration to understand the relationship with human demand. First, the InVEST model is used to quantify the spatial and temporal changes in the key ESs from 2000 to 2019, and a supply–demand index is used to explore the supply–demand relationship at the county scale. Second, ES bundle is applied to analyse the relationships among ESs in different supply–demand balance areas. Finally, different ecological protection scenarios are proposed to simulate the supply–demand relationship in 2040. The results show that (1) the impacts of ecological factors on the ES supply are greater than socioeconomic factors, especially the precipitation and distance from the Yangtze River. (2) Regions of supply–demand imbalance are mainly concentrated in provincial centres and the surrounding cities, especially in the Wuhan city circle. (3) Each ES in regions of balanced supply and demand is well-balanced, and ESs in regions of supply-demand imbalance are dominated by one service. (4) Among the simulated scenarios, the climate regulation protection scenario in 2040 yields the optimal supply–demand result. This study can contribute to future management decision-making regarding the balance between the supply and demand of ecosystem services.

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Section: Introductionmentioning

confidence: 99%

Predicting the supply–demand of ecosystem services in the Yangtze River Middle Reaches Urban Agglomeration

Dai

Wang

Yang

et al. 2022

Progress in Physical Geography: Earth and Environment

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“…With the development of GIS technology and big data analysis, an increasing number of studies have combined Gaussian diffusion with urban geographic information [60,61] or machine learning (e.g., Bayesian networks) to invert sources [62][63][64] and thus explore issues, such as urban pollution early warning and optimization of measures for environmental protection. Bagstad et al [3] and Huang et al [6] argued that the flow form of gas-based ESF, such as microclimate regulation, pollination, and open cultural services, could then be Gaussian. The Gaussian decay form can overcome the shortcomings of linear decay [65].…”

Section: Two-dimensional Gaussian Function-based Modelingmentioning

confidence: 99%

“…Urban blue-green landscapes have a non-negligible importance in mitigating urban heat islands, as verified by remote sensing images of surface temperatures [39][40][41]. In this research, the spatial process of urban cooling service flow (UCSF) is simulated by estimating the urban cooling service (UCS) in the core area of Beijing and selecting a believable two-dimensional Gaussian function modeled on pixel units based on ideas of flow or dissipation functions for ESF in relevant studies [6,42]. Eight landscape indices characterizing the landscape pattern in the study area were selected as drivers to explore the extent to which landscape pattern contributes to UCSF.…”

Section: Introductionmentioning

confidence: 98%

“…However, the definition of ESF is not unified, and differences exist in research approaches and research focus under different understandings [5]. One dominant Land 2023, 12, 1527 2 of 16 definition of ESF is actual human consumption, which focuses on the contribution or actual delivery of ES to humans and is independent of the spatial transmission process of ES [6]. The ES benefit/demand area underpinning this concept is usually considered to be the area where humans actually consume ES [7].…”

Section: Introductionmentioning

confidence: 99%

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Ecosystem Service Flow Perspective of Urban Green Land: Spatial Simulation and Driving Factors of Cooling Service Flow

Zhou

Feng

et al. 2023

Land

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The linking of ecosystem service flows (ESFs) with urban land management is still in its nascent stage. The spatial process modeling of ESFs plays a crucial role in establishing connections between urban land sustainability and human benefits. However, the spatial processes and driving mechanisms associated with urban cooling services (UCS) remain ambiguous. In this study, we selected the area within the 6th Ring Road of Beijing as the study area, where the population is highly concentrated and the urban greenery is relatively developed. We modeled the spatial processes of cooling service flow (UCSF) in this area and elucidated the contribution of landscape patterns to UCSF. Firstly, the cooling capacity, referred to as UCS, of the urban blue–green landscape, was estimated using the InVEST tool. Subsequently, the UCSF spatial process was simulated by employing a two-dimensional Gaussian function at the pixel level. In order to characterize the landscape features in the study area, eight landscape indices were selected, and Fragstats v4.2 was employed for their calculation. Finally, GeoDetector was utilized to explore the driving mechanisms of landscape patterns on UCSF. The predominant area for both UCS and UCSF lies between the 5th and 6th Ring Road in Beijing, exhibiting a declining trend from the 6th Ring Road toward the city center. The UCSF coverage area, which represents the beneficiary area, accounted for approximately 87.78% of the study area, with the largest increase occurring within the 2nd Ring Road. The Landscape Shape Index demonstrated the strongest individual contribution to UCSF, while its combined bivariate contribution was significant. Geometry exerted a greater influence on UCSF compared to landscape scale and spatial configuration. This study presents novel insights for assessing the omnidirectional flow of ESFs through the modeling of flow functions. The findings of this study can serve as a valuable reference for sustainable urban landscape management and planning.

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“…Different methods have been used for different ES. For quantifiable services (e.g., most provisioning services), firstly, statistical data provide a good way to assess realized ES directly inside a social-ecological system (Schröter et al, 2014); for other services without statistical data, spatial allocation method that allocate potential ES by human-related information (e.g., population density) is another way to quantify realized ES (Huang et al, 2021; Rioux et al, 2019). For ESF among different systems, the flow and demand comparison method, which compares the volume of flow and the amount of demand that could be used (if potential ES flow is larger than ES demand, then ES demand is equal to realized ES; or potential ES flow is equal to realized ES).…”

Section: Comprehensive Framework For Quantifying Esfmentioning

confidence: 99%

A comprehensive framework for quantifying ecosystem service flow focusing on social-ecological processes

Wang

Zheng³

et al. 2023

Transactions in Earth, Environment, and Sustainability

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Ecosystem service flow refers to the whole process of ecosystem service production, delivery and utilization, which is closely related to social-ecological processes. However, quantifying the entire ecosystem service flow process remains challenging, placing limits on the management of social-ecological systems to improve human wellbeing. Here, we explored the relationship between social-ecological processes (e.g., product transfer, matter cycling, energy flow and information delivery) and the spatial flow of ecosystem service. Then, we reviewed methods quantifying the spatial flow of ecosystem service. Finally, we proposed a comprehensive framework for quantifying the whole process of ecosystem service flow in terms of social-ecological processes. The framework consists of the quantification of ecosystem service supply and demand, the spatial flow of ecosystem service between suppliers and consumers, and the quantification of utilized ecosystem service. To better quantify the whole process of ecosystem service flow, we need to further understand the factors impacting ecosystem service flow, develop process-based models integrating beneficiaries and infrastructure, and establish social-ecological approaches to inform ecosystem service flow governance.

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Advancing a novel large-scale assessment integrating ecosystem service flows and real human needs: A comparison between China and the United States

Cited by 14 publications

References 56 publications

Predicting the supply–demand of ecosystem services in the Yangtze River Middle Reaches Urban Agglomeration

Predicting the supply–demand of ecosystem services in the Yangtze River Middle Reaches Urban Agglomeration

Ecosystem Service Flow Perspective of Urban Green Land: Spatial Simulation and Driving Factors of Cooling Service Flow

A comprehensive framework for quantifying ecosystem service flow focusing on social-ecological processes

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