Mapping the evolving research landscape of sustainability science from 2006 to 2023: unveiling its transformation

被引:1
作者
Sahle, Mesfin [1 ]
Lahoti, Shruti Ashish [1 ]
Lee, So-Young [1 ]
Kamiyama, Chiho [1 ,3 ]
Tan, Xiaoyang [1 ]
Kozar, Raffaela [1 ]
Saito, Osamu [1 ,2 ]
Takeuchi, Kazuhiko [1 ,2 ]
机构
[1] Inst Global Environm Strategies IGES, Hayama, Kanagawa, Japan
[2] Univ Tokyo, Inst Future Initiat IFI, Tokyo, Japan
[3] Hokkaido Univ, Field Sci Ctr Northern Biosphere, Hakodate, Hokkaido, Japan
基金
日本科学技术振兴机构;
关键词
Research landscape; Sustainability research trends; Sustainable future; Topics interconnectedness; Non-Negative Matrix Factorization (NMF); Sustainability Science journal; ACADEMIC LANDSCAPE; DEVELOPMENT GOALS; PARIS AGREEMENT; SOCIAL VALUES; FRAMEWORK; BIODIVERSITY; GOVERNANCE; EVOLUTION; THINKING; SYSTEMS;
D O I
10.1007/s11625-024-01529-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Exploring the trends of sustainability science research is vital for advancing our understanding of creating a more sustainable and resilient future for our planet and society. This overview article explores a segment of the sustainability science research landscape from 2006 to 2023 by examining articles published in the Sustainability Science journal. The initial step involved categorizing articles into four distinct periods, each representing a phase in the journal and field's evolution. The changing research topics and their interconnectedness were investigated by involving natural language processing, non-negative matrix factorization topic modeling, and Jaccard similarity analysis in Python. The study reveals shifting emphases over these periods: 2006-2010 focused on human-environment links; 2011-2015 shifted to practical solutions, such as climate adaptation; 2016-2020 focused on the integration of transdisciplinary knowledge, SDGs, and sustainability transitions; and 2021-2023 centered on transformative changes in sustainability. Based on the Sustainability Science journal publications, the field has evolved from foundational principles to current priorities such as transdisciplinary approaches, deep sustainability transformations, bioeconomy, and intergenerational narratives. The evolving landscape responds to environmental, societal, cultural, and technological changes. While the Sustainability Science journal has played an essential role, there remains potential to further concentrate on emerging topics and transformative methodologies. This study offers valuable insights into propelling sustainability science forward to address global challenges and pave the way for a sustainable and equitable future.
引用
收藏
页码:1735 / 1750
页数:16
相关论文
共 176 条
[31]   Exogenous shocks and MNEs: Learning from pandemics, conflicts, and other major disruptions [J].
Ciravegna, Luciano ;
Ahlstrom, David ;
Michailova, Snejina ;
Oh, Chang Hoon ;
Gaur, Ajai .
JOURNAL OF WORLD BUSINESS, 2023, 58 (06)
[32]   Sustainability science: A room of its own [J].
Clark, William C. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (06) :1737-1738
[33]   Sustainability Science: Toward a Synthesis [J].
Clark, William C. ;
Harley, Alicia G. .
ANNUAL REVIEW OF ENVIRONMENT AND RESOURCES, VOL 45, 2020, 45 :331-386
[34]   Re-framing the decision context over trade-offs among ecosystem services and wellbeing in a major river basin where water resources are highly contested [J].
Colloff, Matthew J. ;
Doody, Tanya M. ;
Overton, Ian C. ;
Dalton, James ;
Welling, Rebecca .
SUSTAINABILITY SCIENCE, 2019, 14 (03) :713-731
[35]   Adaptive capacity in social-ecological systems: a framework for addressing bark beetle disturbances in natural resource management [J].
Cottrell, Stuart ;
Mattor, Katherine M. ;
Morris, Jesse L. ;
Fettig, Christopher J. ;
McGrady, Pavlina ;
Maguire, Dorothy ;
James, Patrick M. A. ;
Clear, Jennifer ;
Wurtzebach, Zach ;
Wei, Yu ;
Brunelle, Andrea ;
Western, Jessica ;
Maxwell, Reed ;
Rotar, Marissa ;
Gallagher, Lisa ;
Roberts, Ryan .
SUSTAINABILITY SCIENCE, 2020, 15 (02) :555-567
[36]  
Danish M.S.S., 2023, Circ. Econ., V2, DOI [10.1016/j.cec.2023.100040, DOI 10.1016/J.CEC.2023.100040]
[37]   Sentiment analysis in multilingual context: Comparative analysis of machine learning and hybrid deep learning models [J].
Das, Rajesh Kumar ;
Islam, Mirajul ;
Hasan, Md Mahmudul ;
Razia, Sultana ;
Hassan, Mocksidul ;
Khushbu, Sharun Akter .
HELIYON, 2023, 9 (09)
[38]   Transformation for sustainability: a deep leverage points approach [J].
Davelaar, Danielle .
SUSTAINABILITY SCIENCE, 2021, 16 (03) :727-747
[39]   Defining transformative climate science to address high-end climate change [J].
David Tabara, J. ;
Jaeger, Jill ;
Mangalagiu, Diana ;
Grasso, Marco .
REGIONAL ENVIRONMENTAL CHANGE, 2019, 19 (03) :807-818
[40]  
Daz S., 2019, SUMMARY POLICYMAKERS, DOI [10.5281/zenodo.3553579, DOI 10.5281/ZENODO.3553579]