scholarly journals The SDGs, Ecosystem Services and Cities: A Network Analysis of Current Research Innovation for Implementing Urban Sustainability

2021 ◽  
Vol 13 (24) ◽  
pp. 14057
Author(s):  
Scott Hawken ◽  
Homa Rahmat ◽  
Samad M.E. Sepasgozar ◽  
Kefeng Zhang

Ecosystem services provide essential services for cities and are key factors in achieving many of the Sustainable Development Goals (SDGs). Such services are best delivered through green infrastructure, which works in resourceful, multifunctional, synergistic, and environmentally sensitive ways to deliver ecosystem services and provide alternative cleaner pathways for the delivery of multiple urban services. It is unclear if current research supports the necessary linkages between ecosystem services, cities, and green infrastructure in order to achieve the SDGs. To answer this question, we conducted a systematic review analysing 3392 studies on the SDGs from the WoS database. The contents of 66 of those with relevance to ecosystem services and urban research were reviewed in depth. We applied network-analytic methods to map the relationships of different knowledge clusters of SDGs research (1) across time, (2) across disciplines, and (3) in relation to ecosystem services and cities. The results of our analysis show that research on the SDGs have developed stronger networks from 2010–2018, but this research has not been sustained. Further, whilst research on cities now occupies a central place in the SDGs literature, research on ecosystem services only shows tentative links to both green-infrastructure research and SDGs research. Such literature on urban green infrastructure remains peripheral to the central challenge of sustainable urban transitions. We conclude that when it comes to the SDGs, research articles typically consider urban services independently of green infrastructure. Further, it suggests that green infrastructure is not generally considered as a sustainable alternative to conventional urban infrastructures. To address this serious shortcoming, we recommend transdisciplinary approaches to link urban ecosystem and urban green infrastructure research to the 2030 global sustainability agenda.

2018 ◽  
Vol 53 ◽  
pp. 04049
Author(s):  
Liang Zhao

Nowadays, various urban ecosystem services (UES) provided by urban green infrastructure (UGI) have been the concern of scholars worldwide. And as China being recognized as a living laboratory in sustainable studies, concerns toward UES provided by UGI and factors of urban dweller demands is definitely required. However, for related reviews and special discussions are lacking until now, this study calculated the types of UES and demand concerns with a collection of 54 Chinese and 51 English articles in UES studies, 162 Chinese and 26 English articles in urban dweller research. In addition, with detailed discussions through spatial distributions, perspectives, and methodologies, comprehensive analyses were conducted and unique features were summarized to back up other nations or situations worldwide.


2019 ◽  
Vol 136 ◽  
pp. 03003
Author(s):  
Liang Zhao

Urban green infrastructure (UGI) attracts much interest because they could provide urban ecosystem services (UES). Among all various methodologies, the UGI structure-based modelling is favored for advantages in physiological mechanisms. This work concerns on environmental services, including “air purification,” “microclimate regulation,” “noise reduction,” “carbon sequestration and storage,” and “rainwater retention.” A new assessment methodology based on UGI structure indicator was constructed with nine UGI model structures and quantitative values. With implemented in two urban parks in Shanghai, this methodology is speculated to be suitable for patch-level cases, and can make certain efforts to regions without sufficient data.


Forests ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 775 ◽  
Author(s):  
Victor Matasov ◽  
Luca Belelli Marchesini ◽  
Alexey Yaroslavtsev ◽  
Giovanna Sala ◽  
Olga Fareeva ◽  
...  

Urban green infrastructure plays an increasingly significant role in sustainable urban development planning as it provides important regulating and cultural ecosystem services. Monitoring of such dynamic and complex systems requires technological solutions which provide easy data collection, processing, and utilization at affordable costs. To meet these challenges a pilot study was conducted using a network of wireless, low cost, and multiparameter monitoring devices, which operate using Internet of Things (IoT) technology, to provide real-time monitoring of regulatory ecosystem services in the form of meaningful indicators for both human health and environmental policies. The pilot study was set in a green area situated in the center of Moscow, which is exposed to the heat island effect as well as high levels of anthropogenic pressure. Sixteen IoT devices were installed on individual trees to monitor their ecophysiological parameters from 1 July to 31 November 2019 with a time resolution of 1.5 h. These parameters were used as input variables to quantify indicators of ecosystem services related to climate, air quality, and water regulation. Our results showed that the average tree in the study area during the investigated period reduced extreme heat by 2 °C via shading, cooled the surrounding area by transferring 2167 ± 181 KWh of incoming solar energy into latent heat, transpired 137 ± 49 mm of water, sequestered 8.61 ± 1.25 kg of atmospheric carbon, and removed 5.3 ± 0.8 kg of particulate matter (PM10). The values of the monitored processes varied spatially and temporally when considering different tree species (up to five to ten times), local environmental conditions, and seasonal weather. Thus, it is important to use real-time monitoring data to deepen understandings of the processes of urban forests. There is a new opportunity of applying IoT technology not only to measure trees functionality through fluxes of water and carbon, but also to establish a smart urban green infrastructure operational system for management.


Author(s):  
Thomas Elmqvist ◽  
Erik Gómez-Baggethun ◽  
Johannes Langemeyer

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