Literature DB >> 29890614

Urban expansion simulation and the spatio-temporal changes of ecosystem services, a case study in Atlanta Metropolitan area, USA.

Xiao Sun1, John C Crittenden2, Feng Li3, Zhongming Lu4, Xiaolin Dou5.   

Abstract

Urban expansion can lead to land use changes and, hence, threatens the ecosystems. Understanding the effects of urbanization on ecosystem services (ESs) can provide scientific guidance for land use planning and the protection of ESs. We established a framework to assess the spatial distributions of ESs based on land use changes in the Atlanta Metropolitan area (AMA) from 1985 to 2012. A new comprehensive ecosystem service (CES) index was developed to reflect the comprehensive level of ESs. Associated with the influential factors, we simulated the business as usual scenario in 2030. Four alternative scenarios, including more compact growth (MCG), riparian vegetation buffer (RVB), soil conservation (SC), and combined development (CD) scenarios were developed to explore the optimal land use strategies which can enhance the ESs. The results showed that forest and wetland had the greatest decreases, while low and high intensity built-up lands had the greatest increases. The values of CES and most of ESs decreased significantly due to the sprawling expansion of built-up land. The scenario analysis revealed that the CD scenario performs best in CES value, while it performs the worst in food supply. Compared with the RVB and SC scenarios, MCG scenario is a more optimal land use strategy to enhance the ESs without at the expense of food supply. To integrate multiple ESs into land use planning and decision making, corresponding land management policies and ecological engineering measures should be implemented to enhance: (1) the water yield and water purification in urban core counties, (2) the carbon storage, habitat quality, and recreational opportunity in counties around the core area, and (3) the soil conservation and food supply in surrounding suburban counties. The land use strategies and ecological engineering measures in this study can provide references for enhancing the ESs in the AMA and other metropolitan areas.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ecosystem services (ESs); InVEST model; Land use simulation; Markov-logistic-CA model; Scenarios

Year:  2017        PMID: 29890614     DOI: 10.1016/j.scitotenv.2017.12.062

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  9 in total

1.  Testing ecosystem accounting in the United States: A case study for the Southeast.

Authors:  Katherine J D Warnell; Marc Russell; Charles Rhodes; Kenneth J Bagstad; Lydia P Olander; David J Nowak; Rajendra Poudel; Pierre D Glynn; Julie L Hass; Satoshi Hirabayashi; Jane Carter Ingram; John Matuszak; Kirsten L L Oleson; Stephen M Posner; Ferdinando Villa
Journal:  Ecosyst Serv       Date:  2020-06-01       Impact factor: 5.454

2.  Evaluation of the relationship between soil erosion and landscape metrics across Gorgan Watershed in northern Iran.

Authors:  Fazlolah Ahmadi Mirghaed; Bubak Souri; Marjan Mohammadzadeh; Abdolrassoul Salmanmahiny; Seyed Hamed Mirkarimi
Journal:  Environ Monit Assess       Date:  2018-10-18       Impact factor: 2.513

3.  Land use change modeling through scenario-based cellular automata Markov: improving spatial forecasting.

Authors:  Fatemeh Jahanishakib; Seyed Hamed Mirkarimi; Abdolrassoul Salmanmahiny; Fatemeh Poodat
Journal:  Environ Monit Assess       Date:  2018-05-08       Impact factor: 2.513

4.  Ecological security assessment at different spatial scales in central Yunnan Province, China.

Authors:  Yun Chen; Jinliang Wang; Eldar Kurbanov; Abraham Thomas; Jinming Sha; Yuanmei Jiao; Jingchun Zhou
Journal:  PLoS One       Date:  2022-06-28       Impact factor: 3.752

5.  Multi-Scenario Simulation and Trade-Off Analysis of Ecological Service Value in the Manas River Basin Based on Land Use Optimization in China.

Authors:  Yongjun Du; Xiaolong Li; Xinlin He; Xiaoqian Li; Guang Yang; Dongbo Li; Wenhe Xu; Xiang Qiao; Chen Li; Lu Sui
Journal:  Int J Environ Res Public Health       Date:  2022-05-20       Impact factor: 4.614

6.  Spatiotemporal patterns of urban thermal environment and comfort across 180 cities in summer under China's rapid urbanization.

Authors:  Zhibin Ren; Yao Fu; Yunxia Du; Hongbo Zhao
Journal:  PeerJ       Date:  2019-08-02       Impact factor: 2.984

7.  Ecosystem service value evaluation method in a complex ecological environment: A case study of Gansu Province, China.

Authors:  Xiaojiong Zhao; Jian Wang; Junde Su; Wei Sun
Journal:  PLoS One       Date:  2021-02-05       Impact factor: 3.240

8.  Urban growth modelling and social vulnerability assessment for a hazardous Kathmandu Valley.

Authors:  Carlos Mesta; Gemma Cremen; Carmine Galasso
Journal:  Sci Rep       Date:  2022-04-12       Impact factor: 4.379

9.  Multi-Scenario Analysis of Habitat Quality in the Yellow River Delta by Coupling FLUS with InVEST Model.

Authors:  Qinglong Ding; Yang Chen; Lingtong Bu; Yanmei Ye
Journal:  Int J Environ Res Public Health       Date:  2021-03-01       Impact factor: 3.390

  9 in total

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