Ecological Management Zoning Based on the Supply–Demand Relationship and Synergies of Urban Forest Ecosystem Services: A Case Study from Fuzhou, China DOI Open Access
Mingzhe Li, Nuo Xu, Fan Liu

и другие.

Forests, Год журнала: 2024, Номер 16(1), С. 17 - 17

Опубликована: Дек. 25, 2024

Urban forests, as vital components of green infrastructure, provide essential ecosystem services (ESs) that support urban sustainability. However, rapid expansion and increased density threaten these creating significant imbalances between the supply demand for services. Understanding characteristics reasonably dividing ecological management zones are crucial promoting sustainable development. This study introduces an innovative zoning framework based on matching degree synergies relationships ESs. Focusing Fuzhou’s fourth ring road area in China, data from 1038 forest sample plots were collected using mobile LIDAR. By integrating i-Tree Eco model Kriging interpolation, we assessed spatial distribution four key ESs—carbon sequestration, avoided runoff, air purification, heat mitigation—and analyzed their supply–demand synergies. Based characteristics, employed unsupervised machine learning classification to identify eight distinct zones, each accompanied by targeted recommendations. Key findings include following: (1) forests Fuzhou exhibit pronounced heterogeneity, with clearly identifiable high-value low-value areas statistical relevance; (2) mitigation, purification all synergistic effects, while carbon sequestration shows trade-offs other three areas, necessitating optimization; (3) identified, unique characteristics. offers precise insights into providing a foundation strategies.

Язык: Английский

Ecological Management Zoning Based on the Supply–Demand Relationship and Synergies of Urban Forest Ecosystem Services: A Case Study from Fuzhou, China DOI Open Access
Mingzhe Li, Nuo Xu, Fan Liu

и другие.

Forests, Год журнала: 2024, Номер 16(1), С. 17 - 17

Опубликована: Дек. 25, 2024

Urban forests, as vital components of green infrastructure, provide essential ecosystem services (ESs) that support urban sustainability. However, rapid expansion and increased density threaten these creating significant imbalances between the supply demand for services. Understanding characteristics reasonably dividing ecological management zones are crucial promoting sustainable development. This study introduces an innovative zoning framework based on matching degree synergies relationships ESs. Focusing Fuzhou’s fourth ring road area in China, data from 1038 forest sample plots were collected using mobile LIDAR. By integrating i-Tree Eco model Kriging interpolation, we assessed spatial distribution four key ESs—carbon sequestration, avoided runoff, air purification, heat mitigation—and analyzed their supply–demand synergies. Based characteristics, employed unsupervised machine learning classification to identify eight distinct zones, each accompanied by targeted recommendations. Key findings include following: (1) forests Fuzhou exhibit pronounced heterogeneity, with clearly identifiable high-value low-value areas statistical relevance; (2) mitigation, purification all synergistic effects, while carbon sequestration shows trade-offs other three areas, necessitating optimization; (3) identified, unique characteristics. offers precise insights into providing a foundation strategies.

Язык: Английский

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