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Well-Being Monitoring Within Human-Environment Interactions: A Systematic Review.

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Title: Well-Being Monitoring Within Human-Environment Interactions: A Systematic Review.
Authors: Vitolina, Ieva1 (AUTHOR) ieva.vitolina@rtu.lv, Mathias, Jean-Denis2 (AUTHOR), Krutova, Una3 (AUTHOR), Gorbunovs, Aleksandrs1 (AUTHOR), Kapenieks, Atis1 (AUTHOR), Kapenieks Sen, Janis1 (AUTHOR), Kapenieks Jun., Janis1 (AUTHOR), Jakobsone-Snepste, Guna1 (AUTHOR)
Source: Journal of Teacher Education for Sustainability. Dec2025, Vol. 27 Issue 2, p160-205. 46p.
Subject Terms: *Ecology education, Environmental monitoring, Systems theory, Ecosystem dynamics, Quality of life measurement, Quantitative research, Ecosystem services
Abstract: The systematic literature review analyzes well-being monitoring through the lens of human-environment interaction to identify the criteria impacting well-being, data sources, and models used to characterize well-being processes. The study addresses two research questions: How are human-environment interactions related to well-being? What is the influence of the spatial dimension on well-being monitoring? Reviewing 73 relevant articles, the authors of the study have found that the dominant approach is anthropocentric, emphasizing ecosystems as services for human well-being, while holistic and ecocentric perspectives are underrepresented. Furthermore, there is a significant lack of quantitative and causal research, especially concerning the feedback loop from human well-being to environmental well-being. Studies are mainly focused on the national or regional level, neglecting the local scale, dynamic models, and the use of modern technologies like satellite imagery. These findings underscore the need to integrate systems thinking and environmental monitoring competencies into sustainability education to better prepare future generations to address complex human-environment challenges. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Teacher Education for Sustainability is the property of Paradigm Publishing Services and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Well-Being Monitoring Within Human-Environment Interactions: A Systematic Review.
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  Data: <searchLink fieldCode="AR" term="%22Vitolina%2C+Ieva%22">Vitolina, Ieva</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ieva.vitolina@rtu.lv</i><br /><searchLink fieldCode="AR" term="%22Mathias%2C+Jean-Denis%22">Mathias, Jean-Denis</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Krutova%2C+Una%22">Krutova, Una</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gorbunovs%2C+Aleksandrs%22">Gorbunovs, Aleksandrs</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kapenieks%2C+Atis%22">Kapenieks, Atis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kapenieks+Sen%2C+Janis%22">Kapenieks Sen, Janis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kapenieks+Jun%2E%2C+Janis%22">Kapenieks Jun., Janis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jakobsone-Snepste%2C+Guna%22">Jakobsone-Snepste, Guna</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Teacher+Education+for+Sustainability%22">Journal of Teacher Education for Sustainability</searchLink>. Dec2025, Vol. 27 Issue 2, p160-205. 46p.
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  Data: *<searchLink fieldCode="DE" term="%22Ecology+education%22">Ecology education</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+theory%22">Systems theory</searchLink><br /><searchLink fieldCode="DE" term="%22Ecosystem+dynamics%22">Ecosystem dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+life+measurement%22">Quality of life measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Ecosystem+services%22">Ecosystem services</searchLink>
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  Data: The systematic literature review analyzes well-being monitoring through the lens of human-environment interaction to identify the criteria impacting well-being, data sources, and models used to characterize well-being processes. The study addresses two research questions: How are human-environment interactions related to well-being? What is the influence of the spatial dimension on well-being monitoring? Reviewing 73 relevant articles, the authors of the study have found that the dominant approach is anthropocentric, emphasizing ecosystems as services for human well-being, while holistic and ecocentric perspectives are underrepresented. Furthermore, there is a significant lack of quantitative and causal research, especially concerning the feedback loop from human well-being to environmental well-being. Studies are mainly focused on the national or regional level, neglecting the local scale, dynamic models, and the use of modern technologies like satellite imagery. These findings underscore the need to integrate systems thinking and environmental monitoring competencies into sustainability education to better prepare future generations to address complex human-environment challenges. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Teacher Education for Sustainability is the property of Paradigm Publishing Services and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=191664344
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        Value: 10.2478/jtes-2025-0024
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        Text: English
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      – SubjectFull: Environmental monitoring
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      – SubjectFull: Systems theory
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      – SubjectFull: Ecosystem dynamics
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      – SubjectFull: Quality of life measurement
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      – SubjectFull: Quantitative research
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      – SubjectFull: Ecosystem services
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      – TitleFull: Well-Being Monitoring Within Human-Environment Interactions: A Systematic Review.
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              M: 12
              Text: Dec2025
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              Y: 2025
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