Impact of Land-Use–Land Cover Changes on the Service Value of Urban Ecosystems: Evidence from Chengdu, China-Reference-Cited by-同舟云学术

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Impact of Land-Use–Land Cover Changes on the Service Value of Urban Ecosystems: Evidence from Chengdu, China

Published:2024-09 Issue:3 Volume:150 Page:
ISSN:0733-9488
Container-title:Journal of Urban Planning and Development
language:en
Short-container-title:J. Urban Plann. Dev.

Author:

Li Zhigang¹^ORCID,Zhu Jiaxing²,Tian Yangjie³

Affiliation:

1. Professor, College of Management Science, Chengdu Univ. of Technology, Chengdu 610059, PR China. ORCID: .

2. College of Earth Sciences, Chengdu Univ. of Technology, Chengdu 610059, PR China (corresponding author).

3. College of Earth Sciences, Chengdu Univ. of Technology, Chengdu 610059, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JUPDDM.UPENG-4827

Reference45 articles.

1. The impact of urban spatial plan on land value: An approach system to relating space syntax premises to the land price;Abdulla H. M.;Sustainability,2023

2. Trade-offs and synergies between livestock production and other ecosystem services;Accatino F.;Agric. Syst.,2019

3. Simulating future land use and ecosystem services in northern Thailand;Arunyawat S.;J. Land Use Sci.,2018

4. Criticism on elasticity-sensitivity coefficient for assessing the robustness and sensitivity of ecosystem services values;Aschonitis V. G.;Ecosyst. Serv.,2016

5. Progress in physical geography special issue: Physical geography in the Maya Lowlands;Beach T.;Prog. Phys. Geogr.:Earth Environ.,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatiotemporal Evaluation and Driving Factor Screening for Regulating and Supporting Ecosystem Service Values in Suzhou–Wuxi–Changzhou Metropolitan Area’s Green Space;Land;2024-08-02

2. Landslide Hazard Prediction Based on Small Baseline Subset–Interferometric Synthetic-Aperture Radar Technology Combined with Land-Use Dynamic Change and Hydrological Conditions (Sichuan, China);Remote Sensing;2024-07-24

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