A coupling effect of landscape patterns on the spatial and temporal distribution of water ecosystem services: A case study in the Jianghuai ecological economic zone, China

Zhang, Ming; Ma, Shuai; Gong, Jian-Wen; Chu, Lei; Wang, Liangjie

doi:10.1016/j.ecolind.2023.110299

Cited by 8 publications

(2 citation statements)

References 52 publications

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“…LPIs are widely used to quantify the characteristics of landscape patterns [50]. Table 2 lists 16 normally used LPIs at the landscape level and their basic descriptions [14,16,51].…”

Section: Lpismentioning

confidence: 99%

Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas

Zou,

Wang,

Que

et al. 2024

Sustainability

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With the acceleration of urbanization, the ecosystem around cities is facing severe challenges. The drastic changes in the landscape pattern, especially in urban–suburban areas, are usually regarded as one of the main drivers. However, the spatiotemporal heterogeneous impacts of landscape patterns on the ecosystem services in this region remain unclear. To address this issue, we propose a novel framework integrating the InVEST-based ecosystem service assessment and spatiotemporal weighted regression (STWR)-based analysis of the spatiotemporal heterogeneity in urban–suburban areas, and apply it to the empirical study of Fuzhou City from 2000 to 2020. It first utilized the InVEST model to build a comprehensive ecosystem service index (CES) from five aspects (i.e., habitat quality, carbon storage, water yield, soil retention, and water purification capacity). Then, four landscape pattern indices (LPIs) (i.e., patch density (PD), area-weighted mean fractal dimension (FRAC_AM), splitting (SPLIT), and Shannon’s diversity (SHDI) index) were selected to build the STWR model. We compared and analyzed the differences in the spatial coefficient surfaces and significance tests generated by the STWR model in urban, urban–suburban, and rural areas. Results show that the following: (1) The CES in Fuzhou shows an upward trend from the urban area to the urban–suburban and rural areas, with significant gradient differences. (2) Compared with other areas, the LPIs in urban–suburban areas show more fragmentation, discreteness, and diversity, indicating more socioeconomic activities. (3) Although LPIs’ impacts on CES change over time (increasing from 2005 to 2010 and 2020 but decreasing in 2015), their effects are relatively low in urban–suburban areas, significantly lower than in urban areas. (4) Interestingly, the LPI coefficients near the urban–suburban boundary seem more significant. (5) This framework can effectively reveal the spatiotemporal heterogeneous relationships between various LPIs and CES, thus guiding concrete policies and measures that support decision-making for improving the ecosystem services surrounding cities through shaping landscape patterns.

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“…LPIs are widely used to quantify the characteristics of landscape patterns [50]. Table 2 lists 16 normally used LPIs at the landscape level and their basic descriptions [14,16,51].…”

Section: Lpismentioning

confidence: 99%

Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas

Zou,

Wang,

Que

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…This leads to reduced vegetation, frequent dust storms, and desert expansion. This seriously affects the ecological stability of oases in arid areas, and the basin environment faces severe ecological security issues, posing a serious threat to human health and survival[ 2 ]. In response to this situation, the Chinese government launched a series of ecological water transfer projects in arid regions such as the Tarim River, Heihe River, and Shiyang River in 2000.…”

Section: Introductionmentioning

confidence: 99%

Ecological risk assessment of landscape in arid area watersheds under ecological water conveyance: A case study of Taitema Lake

Lv,

Li,

et al. 2024

Heliyon

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Study on the spatial-temporal evolution characteristics, patterns, and driving mechanisms of ecological environment of the Ecological Security Barriers on China's Land Borders

Tang,

Liang,

et al. 2023

Environmental Impact Assessment Review

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A coupling effect of landscape patterns on the spatial and temporal distribution of water ecosystem services: A case study in the Jianghuai ecological economic zone, China

Cited by 8 publications

References 52 publications

Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas

Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas

Ecological risk assessment of landscape in arid area watersheds under ecological water conveyance: A case study of Taitema Lake

Study on the spatial-temporal evolution characteristics, patterns, and driving mechanisms of ecological environment of the Ecological Security Barriers on China's Land Borders

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