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The Impact of Selective Logging on Forest Structure and Function Davis, Olivia; Thompson, Ethan; Clark, Emma
Journal of Selvicoltura Asean Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v1i6.1674

Abstract

Selective logging is a prevalent forest management practice aimed at balancing timber production and conservation. However, its effects on forest structure and function remain a topic of significant concern. This study aims to evaluate the impact of selective logging on the biodiversity, biomass, and ecological functions of forest ecosystems. We employed a comparative analysis method, where forest plots subjected to selective logging were compared to undisturbed control plots. Data were collected on tree species diversity, density, and biomass, alongside assessments of soil health and microclimate conditions. Our findings indicate that selective logging significantly alters forest structure by reducing tree density and species diversity, leading to an overall decline in biomass. Additionally, changes in soil composition and moisture levels were observed, negatively affecting the forest's ecological functions. The results underscore the importance of adopting sustainable logging practices that mitigate adverse effects on forest ecosystems. In conclusion, while selective logging can provide economic benefits, its detrimental impacts on forest structure and function necessitate careful management and monitoring to preserve biodiversity and ecosystem health.
VR For Good: A Socio-Preneurship Model Utilizing Virtual Reality Exposure Therapy (VRET) for Affordable Mental Health Services Thompson, Ethan; Lim, Sofia; Olsson, Ingrid
Journal of Social Entrepreneurship and Creative Technology Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v2i6.2988

Abstract

The global mental health crisis continues to escalate, with millions of individuals facing barriers to accessing affordable care. Traditional mental health services, while effective, are often inaccessible due to high costs, geographic barriers, and limited availability. This research proposes a socio-preneurship model that leverages Virtual Reality Exposure Therapy (VRET) as a scalable, cost-effective solution to address these challenges. The study aims to explore the feasibility and effectiveness of utilizing VRET within a socio-preneurship framework to provide affordable mental health services to underserved populations. A mixed-methods approach was employed, combining quantitative measures of anxiety and stress reduction with qualitative interviews to assess user satisfaction and engagement. Participants were divided into a VR therapy group and a control group receiving traditional therapy. The results demonstrated significant improvements in anxiety and stress levels for the VR therapy group compared to the control group, alongside higher levels of user engagement and satisfaction. The study concludes that VRET, when integrated into a socio-preneurship model, offers a viable, accessible, and effective solution to providing mental health services in underserved communities. This approach not only improves mental health outcomes but also creates sustainable, scalable systems for addressing mental health disparities.