Topic Editors

Institute of Methodologies for Environmental Analysis (IMAA), The National Research Council of Italy (CNR), 85050 Tito, Italy
Dr. Zhimin Liu
Institute of Urban and Demographic Studies, Shanghai Academy of Social Sciences, Shanghai 200020, China
Dr. Yevheniia Varyvoda
Department of Community, Environment, and Policy, The University of Arizona, Tucson, AZ 85724, USA

Ecosystem-Based Adaptation: A Holistic Approach to Pursue Multiple Benefits

Abstract submission deadline
31 July 2025
Manuscript submission deadline
31 December 2025
Viewed by
3115

Topic Information

Dear Colleagues,

Managing the effects of climate change is a global challenge that requires a holistic and multidisciplinary approach, especially in urban areas. Transformative changes for pursuing resilience building and climate neutrality goals represent an important opportunity for improving the quality of life of citizens and making cities healthy, equitable, inclusive, and just. An ecosystem-based approach has great potential in contributing to the guiding vision of “One Planet, One Health” by shaping the intertwining of biodiversity and climate in complex urban socio-ecological systems.

This topic aims to explore the links between adaptive capacity, social challenges, and implications for citizens' health by fully exploiting the multidisciplinarity offered by the ecosystem services methodological framework. In this context, we welcome and encourage submissions dealing with the following:

  • Concepts, methodologies, and tools that can contribute to upscaling and strengthening “ecosystem-based thinking”;
  • Literature reviews relevant to the integration of ecosystem-based approaches into urban development, adaptation, mitigation, and responses;
  • Strengthening knowledge on the societal benefits of implementing an ecosystem-based approach in the built environment;
  • Quantitative evaluation of the benefits and costs of ecosystem services for urban preparedness and resilience.

References:

Pilogallo, A.; Scorza, F.; Murgante, B. Ecosystem Services-Based City Ranking in Italy: A Tool to Enhance Sustainable Thinking in Regeneration Land 2024, 13, 891. https://doi.org/10.3390/land13060891

Pilogallo, A.; Scorza, F. Ecosystem Services Multifunctionality: An Analytical Framework to Support Sustainable Spatial Planning in Sustainability 2022, 14, 3346. https://doi.org/10.3390/su14063346

Pilogallo, A.; Pietrapertosa, F.; Salvia, M. Are we going towards an effective integration of air quality and climate planning? A comparative analysis for Italian regions, Journal of Environmental Management 2024, 368, 122138, ISSN 0301-4797, https://doi.org/10.1016/j.jenvman.2024.122138

Varyvoda, Y.; Foerster, T.A.; Mikkola, J.; Mars, M.M. Promising Nature-Based Solutions to Support Climate Adaptation of  Arizona’s  Local  Food  Entrepreneurs and  Optimize  One Health. Sustainability 2024, 16, 3176. https://doi.org/10.3390/su16083176

Liu, Z.; Xiu, C.; Han, G.; Yuan, L. Spatiotemporal Dynamics and Mainstreaming Strategies of Ecosystem-Based Adaptation to Urban Climate Sustainability 2024, 16, 3370. https://doi.org/10.3390/su16083370

Dr. Angela Pilogallo
Dr. Zhimin Liu
Dr. Yevheniia Varyvoda
Topic Editors

Keywords

  • ecosystem-based approach
  • nature-based solution
  • environmental justice
  • biodiversity
  • urban resilience
  • healthy cities
  • ecosystem services
  • climate change adaptation and mitigation

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Environments
environments
3.7 5.7 2014 19.2 Days CHF 1800 Submit
Forests
forests
2.5 4.6 2010 17.1 Days CHF 2600 Submit
Land
land
3.2 5.9 2012 16 Days CHF 2600 Submit
Sustainability
sustainability
3.3 7.7 2009 19.3 Days CHF 2400 Submit
Urban Science
urbansci
2.9 3.7 2017 25.5 Days CHF 1600 Submit
Systems
systems
3.1 4.1 2013 18.8 Days CHF 2400 Submit

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Published Papers (3 papers)

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25 pages, 2168 KiB  
Article
A Study on the Evolution Game of Multi-Subject Knowledge Sharing Behavior in Open Innovation Ecosystems
by Gupeng Zhang, Hua Zou, Shuo Yang and Qiang Hou
Systems 2025, 13(7), 511; https://doi.org/10.3390/systems13070511 - 25 Jun 2025
Viewed by 217
Abstract
With the shift of the global innovation model from traditional closed-loop to open ecosystems, knowledge sharing and collaborative cooperation among firms have become key to obtaining sustainable competitive advantages. However, existing studies mostly focus on the static structure, and there is an insufficient [...] Read more.
With the shift of the global innovation model from traditional closed-loop to open ecosystems, knowledge sharing and collaborative cooperation among firms have become key to obtaining sustainable competitive advantages. However, existing studies mostly focus on the static structure, and there is an insufficient exploration of the dynamic evolutionary mechanism and multi-party game strategies. In this paper, a two-dimensional analysis framework integrating the evolutionary game and the Lotka–Volterra model is constructed to explore the behavioral and strategic evolution of core enterprises, SMEs and the government in the innovation ecosystem. Through theoretical modeling and numerical simulation, the effects of different variables on system stability are revealed. It is found that a moderately balanced benefit allocation can stimulate two-way knowledge sharing, while an over- or under-allocation ratio will inhibit the synergy efficiency of the system; a moderate difference in the knowledge stock can promote knowledge complementarity, but an over-concentration will lead to the monopoly and closure of the system; and the government subsidy needs to accurately match the cost of the openness of the enterprises with the potential benefits to the society, so as to avoid the incentive from being unused. Accordingly, it is suggested to optimize the competition structure among enterprises through the dynamic benefit distribution mechanism, knowledge sharing platform construction and classification subsidy policy, promote the evolution of the innovation ecosystem to a balanced state of mutual benefit and symbiosis, and provide theoretical basis and practical inspiration for the governance of the open innovation ecosystem. Full article
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25 pages, 1024 KiB  
Article
Coupling and Coordinated Development Analysis of Digital Economy, Economic Resilience, and Ecological Protection
by Danxue Fan and Meiyue Li
Sustainability 2025, 17(9), 4122; https://doi.org/10.3390/su17094122 - 2 May 2025
Viewed by 420
Abstract
At the critical stage of China’s economic transformation, promoting integrated development among the digital economy, economic resilience, and ecological protection becomes essential to achieve high-quality national development. This study takes 30 Chinese provinces (autonomous regions/municipalities) as research subjects. A comprehensive index system evaluates [...] Read more.
At the critical stage of China’s economic transformation, promoting integrated development among the digital economy, economic resilience, and ecological protection becomes essential to achieve high-quality national development. This study takes 30 Chinese provinces (autonomous regions/municipalities) as research subjects. A comprehensive index system evaluates coupling coordination among the digital economy, economic resilience, and ecological protection. The three-system coupled coordination model and obstacle degree model are employed. The research investigates comprehensive evaluation levels of these three systems. Evolutionary characteristics of their coupled coordination are analyzed. Influencing factors are identified through systematic examination. Key findings reveal: (1) Provincial digital economy, economic resilience, and ecological protection generally maintained good comprehensive evaluation levels between 2011 and 2021. Significant regional development imbalances persist nationwide. (2) Coupled coordination among the three systems remains moderate but shows overall growth trends. Development characteristics demonstrate notable temporal inadequacies and spatial imbalances. Provinces achieving primary and intermediate coordination levels increased from 1 to 12 during the study period. (3) Spatial autocorrelation features prominently in the three-system coordination. Cold and hot spot areas exhibit clustered distribution patterns. (4) Main obstacles constraining three-system coupling coordination show temporal and regional variations. These evolving barriers collectively form a dynamic coupling system. Policy recommendations include: Advancing coordinated development and organic integration of the three systems; enhancing cross-regional collaboration to reduce spatial and systemic disparities; and implementing multi-source driving strategies to strengthen coordinated development momentum. Full article
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32 pages, 20401 KiB  
Article
Analyzing Coupling Coordination and Driving Factors of Social–Ecological Resilience: A Case Study of the Lower Yellow River
by Linxiao Zhu, Shuo Sheng, Haokun Gong, Qingming Yang, Xuanfeng Zhang and Huabin Xiao
Sustainability 2024, 16(23), 10456; https://doi.org/10.3390/su162310456 - 28 Nov 2024
Cited by 1 | Viewed by 949
Abstract
Flat terrain and economically prosperous downstream regions face significant challenges in achieving a balance between socio-economic development and ecological preservation. The Social–Ecological System (S-ES) serves as a vital framework for quantifying the interactions between human activities and the natural environment, providing insights into [...] Read more.
Flat terrain and economically prosperous downstream regions face significant challenges in achieving a balance between socio-economic development and ecological preservation. The Social–Ecological System (S-ES) serves as a vital framework for quantifying the interactions between human activities and the natural environment, providing insights into the development status of regional social and ecological systems. This study utilizes the Coupling Coordination Degree (CCD) method to construct an S-ES coupling model, integrating correlation analysis, geographic detectors, and grey relational analysis to explore the driving factors influencing Social–Ecological Resilience (S-ER) coordination. The research focuses on 25 counties in Shandong Province, situated in the lower Yellow River Basin, over the period from 2000 to 2022. Key findings include (1) significant spatial clustering, with identifiable hotspots and cold spots in S-ER distribution; (2) substantial changes in S-ER CCD around 2010 and 2020; and (3) persistent mismatches between socio-economic development and ecological improvement, presenting a major challenge for enhancing coordination. These insights provide valuable guidance for sustainable development strategies in the lower Yellow River Basin. Full article
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