Ecological Zoning Study on the Coupling of Land Use Intensity and Landscape Ecological Risk in Western Jilin: A Production–Living–Ecological Space Perspective DOI Open Access
Rina Su,

Yi Bole,

Zhijun Tong

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 10992 - 10992

Опубликована: Дек. 14, 2024

Ecological zoning is essential for optimizing regional ecological management and improving environmental protection efficiency. While previous studies have primarily focused on the independent analysis of land use intensity (LUI) landscape risk (LER), there has been limited research their coupled relationship. This study, conducted in Western Jilin (WJL), introduces an innovative method based Production–Living–Ecological Space (PLES) framework, which explores interactions between LUI LER, filling a gap existing research. The employs coupling coordination degree (CCD) model Geographic Information System (GIS) technology to construct LUI-ERI model, used delineate zones. results indicate that: (1) PLES study area predominantly production space (PS), with largest transfer being (PES) 2784.23 km2, most significant PS 3112.33 km2. (2) Between 2000 2020, both LER exhibited downward trends, opposite spatial distribution characteristics. “middle” zone “highest” were dominant types, covering approximately 46% 45% total area, respectively. (3) showed polarized trend, overall upward trajectory from 2020. (4) WJL can be categorized into core (ECP) zone, potential governance (EPG) comprehensive monitoring (ECM) optimization (EO) restoration (ER) occupying 61.63% area. provides novel perspective offers systematic scientific basis planning.

Язык: Английский

Integrating ecological and recreational functions to optimize ecological security pattern in Fuzhou City DOI Creative Commons
Junhong Bai, Rui Sun, Yi‐Fan Liu

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 4, 2025

Abstract The scientific establishment of the Ecological Security Pattern (ESP) is crucial for fostering synergistic development ecological and recreational functions, thereby enhancing urban protection, development, sustainable growth. This study aimed to propose a novel method constructing ESP considering both reconstruct by weighing relationship between protection development. Utilizing Fuzhou City as case study, comprehensive application methodologies including Morphological Spatial Analysis (MSPA), landscape connectivity analysis, ArcGIS spatial social network analysis (SNA), circuit theory employed develop Recreational (RSP). A trade-off matrix created facilitate reconstruction ESP, delineate functional zones, identify strategic points, followed thorough optimization strategy. revealed 36 source areas (ESAs) within City, encompassing total area 5807.90 km², predominantly situated in western northern regions. Additionally, 98 corridors (ECs) were identified, extending over 2500.55 km, alongside 100 pinch points (EPPs) 146 barrier (EBPs). city also contains 57 nodes (RNs),, which display distribution characterized “dense east, sparse west” pattern. Furthermore, 165 (RCs) extracted, covering distance 3795.21 km. Based on matrix, was categorized into eight zones: core zone, important eco-recreation key secondary elastic zone.The identified 95 475 sub-strategic. multifunctional complex constructed, “one core, five districts, six corridors, seven wedges”, tailored planning strategy proposed. research contributes theoretical framework construction supports coordinated high-quality activities environments.

Язык: Английский

Процитировано

0

Incorporating Stepping Stone Establishment into Rural Ecological Security Pattern Optimization: A Water–Energy–Food Coupling Perspective DOI Creative Commons
Jingwen Tian,

Bolun Zhang,

Jiaying Li

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 862 - 862

Опубликована: Апрель 14, 2025

Protecting ecological sources and restoring stepping stones (ESSs) are key to constructing security patterns (ESPs) in small-scale rural areas. Ecosystem services (ESs) associated with Water–Energy–Food (W-E-F) influence the of However, how construct ESPs enhance synergy connectivity W-E-F systems remains unclear. This study thus proposes a framework ESP construction optimization based on coupling coordination analysis ESs related W-E-F, including Water yield, Carbon storage, Food production. Using Changsha–Zhuzhou–Xiangtan Green Heart region as case, it identifies corridors through degree (CCD) model circuit theory. Moreover, optimizes by incorporating optimal ESS plan improve source connectivity. The results show 14 patches covering total area 86.73 km2 117.21 km corridors. Three plans evaluated, Option II proving optimal, increasing corridor length 31.02% 57.10%, which is high CCD three ESs. “One Core, Zones, Four Corridors, Multiple Points” scheme was defined ESP. underscores significance restoration advocates shift from “single ES” “coupled ESs” perspective. And offers new insights aiming “patch–corridor–matrix” paradigms “patch–stepping stone–matrix” framework. It also provides feasible suggestions for balancing protection resource sustainability

Язык: Английский

Процитировано

0

Ecological Zoning Study on the Coupling of Land Use Intensity and Landscape Ecological Risk in Western Jilin: A Production–Living–Ecological Space Perspective DOI Open Access
Rina Su,

Yi Bole,

Zhijun Tong

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 10992 - 10992

Опубликована: Дек. 14, 2024

Ecological zoning is essential for optimizing regional ecological management and improving environmental protection efficiency. While previous studies have primarily focused on the independent analysis of land use intensity (LUI) landscape risk (LER), there has been limited research their coupled relationship. This study, conducted in Western Jilin (WJL), introduces an innovative method based Production–Living–Ecological Space (PLES) framework, which explores interactions between LUI LER, filling a gap existing research. The employs coupling coordination degree (CCD) model Geographic Information System (GIS) technology to construct LUI-ERI model, used delineate zones. results indicate that: (1) PLES study area predominantly production space (PS), with largest transfer being (PES) 2784.23 km2, most significant PS 3112.33 km2. (2) Between 2000 2020, both LER exhibited downward trends, opposite spatial distribution characteristics. “middle” zone “highest” were dominant types, covering approximately 46% 45% total area, respectively. (3) showed polarized trend, overall upward trajectory from 2020. (4) WJL can be categorized into core (ECP) zone, potential governance (EPG) comprehensive monitoring (ECM) optimization (EO) restoration (ER) occupying 61.63% area. provides novel perspective offers systematic scientific basis planning.

Язык: Английский

Процитировано

0