A Review on the Supply-Demand Relationship and Spatial Flows of Ecosystem Services

Huang, Mengdong; Xiao, Yu; Xu, Jie; Liu, Jingya; Wang, Yangyang; Gan, Shuang; Shixuan, Lv; Xie, Gaogang

doi:10.5814/j.issn.1674-764x.2022.05.016

Cited by 7 publications

(5 citation statements)

References 78 publications

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“…On the other hand, considering that the coverage of all the sandy weather is relatively wide, too fine transmission route statistics are not meaningful. Therefore, concerning previous studies [6,37,38] and in combination with the route distribution in the study area, the raster was redivided using about 1000 km 2 as the raster area, i.e., 31.62 × 31.62 km as the resolution. The overall flow of the WEP services in SRB from 2005 to 2020 was 64.6 million t, 49.9 million t, 62.9 million t, and 55.3 million t, which follows the same pattern as the overall amount of WEP's ups and downs.…”

Section: Spatial and Temporal Characteristics Of Wep Service Flows 43...mentioning

confidence: 99%

Simulation of the Spatial Flow of Wind Erosion Prevention Services in Arid Inland River Basins: A Case Study of Shiyang River Basin, NW China

Pan,

Wei,

2023

Atmosphere

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Wind erosion is a key global environmental problem. As an important protective measure to provide services to the ecosystems in wind-eroded areas, the wind erosion prevention service is of great significance to the management of wind and sand hazards and ecological environment restoration in the wind-eroded areas and the neighboring areas. Taking the Shiyang River basin as the study area, the quality of supplies for wind erosion prevention services was estimated using the RWEQ model for the years 2005, 2010, 2015, and 2020; the trajectories of air masses at wind speeds higher than the sand-causing wind speeds were simulated based on the forward trajectory module of the HYSPLIT model for a 24 h period; the spatial simulation of the flow of wind erosion prevention services on a daily scale with Minqin Station as the sand source was carried out; and the beneficiary areas of wind erosion prevention services were identified. Based on the RWEQ model, the spatial patterns of potential wind erosion, actual wind erosion, and wind and sand stabilization services were obtained, and the supply areas were divided. From 2005 to 2020, the wind erosion prevention service flow in the Shiyang River basin was distributed along a northwest–southeast direction, with a radial decrease from the center to the periphery, and with an extremely strong extraterritorial effect. The amount of wind erosion in the basin has a variable downward tendency over time and a spatial distribution pattern of high in the north and low in the south. The area of higher sand fixation is distributed in the eastern oasis area and desert junction zone. The HYSPLIT model was used to simulate the transport paths of wind and sand within 24 h during 2005–2020, the transmission paths of the wind erosion prevention service flow were obtained to be 59–134, and the flows were 2.55 × 104–3.85 × 106 t, displaying a changing trend of first decreasing, then increasing, and then decreasing. Gansu Province, Ningxia Hui Autonomous Region, and Inner Mongolia Autonomous Region are the most important areas benefiting from the wind erosion prevention service flow in the Shiyang River basin. The wind erosion prevention service flows in the basin benefit 47 cities in 9 provinces.

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Section: Spatial and Temporal Characteristics Of Wep Service Flows 43...mentioning

confidence: 99%

Simulation of the Spatial Flow of Wind Erosion Prevention Services in Arid Inland River Basins: A Case Study of Shiyang River Basin, NW China

Pan,

Wei,

2023

Atmosphere

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“…Scientific ecological risk management to maintain ecosystem health is a prerequisite for the harmonious development of human beings and the nature (Peng et al, 2007;Peng et al, 2015;Sahraoui et al, 2021). To effectively avoid, proactively adapt to, and comprehensively manage the ecological risk of a region and achieve the purpose of scientific management of regional ecological risk, a scientific and accurate evaluation of the ecological risk of a region from the perspective of the coupling of human beings and nature is essential (Cao and Shen, 1991;Huang et al, 2022). Ecological risk assessment serves as a basis for different environmental aspects such as ecological construction and environmental restoration, and its accuracy can have a direct impact on the management of regional ecological risks (Yang et al, 2007;Ayre and Landis, 2012).…”

Section: Introductionmentioning

confidence: 99%

Pattern change and ecological risk analysis of Shilin World Geopark landscape

Shi,

Gao,

Tan

et al. 2024

Front. Ecol. Evol.

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This study considered Shilin World Geopark as the research object and constructed a landscape ecological risk assessment model based on the landscape pattern index by using remote sensing image data during five periods between 2000 and 2020. In addition, it analyzed the spatial and temporal changes of landscape ecological risk in the region. Spatial autocorrelation analysis was utilized to study spatial differences in the landscape ecological risk in the park. The results showed that during the study period, (1) cultivated land, forest land, and rocky desertification land were the main landscape types, different landscape types differed, and the area of rocky desertification land and building land increased by 37.47 km2 and 14.29 km2, respectively, while the area of cultivated land and grassland decreased significantly, with changes of 34.11 km2 and 18.67 km2; (2) landscape ecological risk of the park showed significant spatial differences, the ‘high–high’ risk areas have been concentrated mainly in the central and northern parts of the park, the ‘low–low’ risk areas have been concentrated in the central part and the southwest-southeast area of the park; and (3) landscape ecological risk of the geopark has been increasing, with the degree of landscape ecological risk being spatially positively correlated. The results of the study are of great significance for maintaining ecosystem health of the Shilin World Geopark and optimizing the ecological risk management of the park.

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“…Ecosystem services research provides an effective framework for addressing complex issues related to human economic and social development and sustainable resource utilization by integrating various factors such as ecology, economy, and society (Fu et al, 2015; Lv et al, 2018; Manning et al, 2023). However, certain ecosystem services (e.g., food supply, water provisioning) may experience temporal delays and spatial mismatches between their supply and demand (Goldenberg et al, 2017; Gounand et al, 2018; Huang et al, 2022; Xiang et al, 2022), leading to inaccurate assessments of regional ecosystem services when only considering supply–demand balance (Burkhard et al, 2012; Garau et al, 2021). Water provisioning services, for instance, rely on the flow of water and often exhibit typical temporal and spatial mismatches between supply and demand (Chen et al, 2020; Lead et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

The effects and influencing variables based on “supply‐direction‐demand” flow processing: Water provisioning services of Inner Mongolia's ecological shelters

Liu,

Qin,

Xie

2024

Land Degrad Dev

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The ecological shelter serves a dual purpose of protecting the target ecosystem from damage and benefitting surrounding ecosystems. One important ecosystem service provided by such areas is water provisioning service, which has significant impacts on the surrounding ecosystems due to its flow characteristics. This study aimed to simulate water resources in Inner Mongolia and its surrounding watersheds in 2010 and 2015 using a simplified service path attribution networks (SPANs) model. The InVEST software was utilized to simulate water provisions, and five types of water consumption were used to calculate the total water consumption. Probability statistics with BBNs were utilized to classify variables influencing water provisioning services and calculate state probabilities under different levels of water provisioning services. The results indicated that the remaining water resources in Inner Mongolia were 3.85 × 1010 m3 in 2010 and 1.92 × 1010 m3 in 2015. Additionally, the total net outflow from Inner Mongolia was 2.37 × 1010 m3 in 2010 and 1.58 × 1010 m3 in 2015. Inner Mongolia not only supplies water resources for its own needs but also supports the surrounding areas. Key variables influencing the amount of water‐provisioning services include precipitation, level of economic development, topography, and land use. This research highlights the considerable regional and transregional effects of water provisioning services provided by Inner Mongolia's ecological shelters by delineating the “supply‐flow‐demand” pathway, addressing the spatial correlation deficiency between supply and demand in the field of ecosystem service flow research. The findings of this study, focusing on a typical ecological shelter, can serve as a reference for future research in other similar shelters.

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A Review on the Supply-Demand Relationship and Spatial Flows of Ecosystem Services

Cited by 7 publications

References 78 publications

Simulation of the Spatial Flow of Wind Erosion Prevention Services in Arid Inland River Basins: A Case Study of Shiyang River Basin, NW China

Simulation of the Spatial Flow of Wind Erosion Prevention Services in Arid Inland River Basins: A Case Study of Shiyang River Basin, NW China

Pattern change and ecological risk analysis of Shilin World Geopark landscape

The effects and influencing variables based on “supply‐direction‐demand” flow processing: Water provisioning services of Inner Mongolia's ecological shelters

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