Ecological risk assessment and multi-scenario dynamic prediction of the arid oasis cities in northwest China from 1990 to 2030-Reference-Cited by-同舟云学术

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Ecological risk assessment and multi-scenario dynamic prediction of the arid oasis cities in northwest China from 1990 to 2030

Published:2023-04-10 Issue:8 Volume:37 Page:3099-3115
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Gan Lu,Halik Ümüt^ORCID,Shi Lei,Welp Martin

Funder

Sino-German Interdisciplinary Joint Training Program for Innovative Talents Funded by the China Scholarship Council

National Natural Science Foundation of China

The Third Xinjiang Scientific Expedition and Research Program

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00477-023-02438-9.pdf

Reference64 articles.

1. Anselin L (1995) Local indicators of spatial association-LISA. Geogr Anal 27(2):93–115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x

2. Cao Q, Zhang X, Lei D, Guo L, Sun X, Kong F, Wu J (2019) Multi-scenario simulation of landscape ecological risk probability to facilitate different decision-making preferences. J Clean Prod 227:325–335. https://doi.org/10.1016/j.jclepro.2019.03.125

3. Cao X, Jiao J, Liu X, Zhu W, Wang H, Hao H, Lu J (2022) Establishment of an ecological security pattern under arid conditions based on ecological carrying capacity: a case study of arid area in Northwest China. Sustainability 14(23):15799. https://doi.org/10.3390/su142315799

4. Chang X, Huang X, Jiang X, Xiao R (2022) Impacts of transportation networks on the landscape patterns—a case study of Shanghai. Remote Sens 14(16):4060. https://doi.org/10.3390/rs14164060

5. Cui B, Zhang Y, Wang Z, Gu C, Liu L, Wei B, Gong D, Rai M (2022) Ecological risk assessment of transboundary region based on land-cover change: a case study of Gandaki river basin, Himalayas. Land 11(5):638. https://doi.org/10.3390/land11050638

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