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All Journal Journal International of Lingua and Technology Journal Markcount Finance Journal International Dakwah and Communication Journal of Moeslim Research Technik Journal of Selvicoltura Asean Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Techno Agriculturae Studium of Research Research of Scientia Naturalis Journal of Social Entrepreneurship and Creative Technology Journal of Multidisciplinary Sustainability Asean
Xiang, Yang
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Social Sciences Other

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Journal : research of scientia naturalis

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INNOVATIONS IN BIOREMEDIATION: HARNESSING MICROBIAL POWER TO CLEAN UP POLLUTION Xiang, Yang; Wei, Sun; Ewane, Elvis
Research of Scientia Naturalis Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i2.2008

Abstract

Pollution poses a significant threat to ecosystems and human health, prompting the need for effective remediation strategies. Bioremediation, which utilizes microorganisms to degrade environmental pollutants, has emerged as a promising approach to address this challenge. This study aims to explore recent advancements in bioremediation technologies, focusing on the role of specific microbial communities in the degradation of various pollutants, including heavy metals, hydrocarbons, and pesticides. The research seeks to identify effective microbial strategies and their applications in real-world scenarios. A comprehensive literature review was conducted, analyzing recent studies on microbial bioremediation techniques. Laboratory experiments were performed to evaluate the degradation rates of selected pollutants by specific microbial strains. Case studies of successful bioremediation projects were also included to illustrate practical applications. Findings indicate that innovative microbial techniques, such as genetically engineered strains and bioaugmentation, significantly enhance the degradation of pollutants. Successful case studies demonstrated substantial reductions in pollutant concentrations, showcasing the efficacy of microbial bioremediation in various environments. This research highlights the potential of harnessing microbial power for effective pollution cleanup.
BEYOND SPECIES RICHNESS: QUANTIFYING FUNCTIONAL BIODIVERSITY THROUGH MATHEMATICAL ECOLOGY Xiang, Yang; Tanaka, Kaito; Hoffmann, Lena
Research of Scientia Naturalis Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i1.3540

Abstract

Biodiversity has traditionally been assessed through species richness, yet this approach often fails to capture the functional roles that determine ecosystem processes and resilience. Increasing ecological evidence indicates that ecosystems with similar species counts may differ substantially in functional composition, leading to divergent ecological outcomes. This study aims to develop a mathematical ecology framework that quantifies functional biodiversity by integrating trait-based analysis with nonlinear modeling. The research employs a quantitative design combining secondary ecological datasets, multidimensional trait space construction, and computational modeling to evaluate relationships between functional diversity and ecosystem performance. Results demonstrate that functional richness, evenness, and divergence significantly predict ecosystem productivity and stability, while species richness shows limited explanatory power. Nonlinear analysis reveals threshold effects and complex interactions, indicating that functional trait composition governs ecosystem responses to environmental change. Functional diversity also shapes network structure, enhancing system resilience through redundancy and complementarity among traits. The study concludes that functional biodiversity provides a more comprehensive and predictive measure of ecological complexity than species richness alone. Integration of mathematical ecology with trait-based approaches offers a robust analytical framework for advancing biodiversity research and informing conservation strategies.
Co-Authors Arnes Yuli Vandika Erwis, Fauzi Ewane, Elvis Hoffmann, Lena Hui, Zhou Ilyas, Sanusi Khan, Jamil Koskinen, Jari Liu Yang Mei, Chen Muhammadiyah, Mas’ud Na, Li Nampira, Ardi Azhar Nishida, Daiki Prayudani, Santi Siti Nur Azizah, Siti Nur Siti Shofiah Sun Wei Tanaka, Kaito Trisnawati Trisnawati WANG Jing Zahir, Roya Zhang Li