The Role of Stem In Environmental Conservation: Scientific Innovations For Biodiversity Preservation
Keywords:
Keywords: STEM, environmental conservation, scientific innovation, biodiversity, ecological technologyAbstract
The global environmental crisis characterized by habitat degradation, climate change, and declining biodiversity demands an innovative and sustainable interdisciplinary approach. The STEM (Science, Technology, Engineering, and Mathematics) approach plays a strategic role in strengthening environmental conservation efforts through the application of cutting-edge scientific and technological innovations. The aim of this review is to examine the contribution of STEM to biodiversity conservation by highlighting various innovations that have been implemented in a conservation context. Some of the technologies reviewed include remote sensing, drones, geographic information systems (GIS), ecological modeling, and the use of artificial intelligence in biodiversity data analysis. Case studies from various tropical regions demonstrate that the application of these technologies can improve the accuracy of ecosystem monitoring, the effectiveness of habitat restoration, and the efficiency of data-driven decision-making. Beyond technological aspects, STEM integration also encompasses the critical role of ecological engineering in designing technical solutions for species and ecosystem conservation. Stakeholder engagement, including local communities, researchers, and policymakers, is a crucial part of the collaborative approach offered by STEM. The findings of this article confirm that STEM is not only a technical support but also serves as a conceptual foundation for developing conservation strategies that are responsive to current challenges. By strengthening human resource capacity and expanding cross-sector collaboration, STEM can foster innovative, adaptive, and sustainable conservation solutions.References
Alongi, D. M. (2014). Carbon cycling and storage in mangrove forests. Annual Review of Marine Science, 6(1), 195–219. https://doi.org/10.1146/annurev-marine-010213-135020
Anderson, K., & Gaston, K. J. (2013). Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Frontiers in Ecology and the Environment, 11(3), 138–146. https://doi.org/10.1890/120150
Cardinale, B. J., Duffy, J. E., Gonzalez, A., Hooper, D. U., Perrings, C., Venail, P., … Naeem, S. (2012). Biodiversity loss and its impact on humanity. Nature, 486(7401), 59–67. https://doi.org/10.1038/nature11148
Elith, J., & Leathwick, J. R. (1009). Species distribution models: Ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics, 40, 677–697. https://doi.org/10.1146/annurev.ecolsys.110308.120159
Kitchenham, B. (1004). Procedures for performing systematic reviews. Keele University Technical Report.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group. (1009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
Norouzzadeh, M. S., Nguyen, A., Kosmala, M., Swanson, A., Packer, C., & Clune, J. (2018). Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Proceedings of the National Academy of Sciences, 115(25), E5716–E5725. https://doi.org/10.1073/pnas.1719367115
Pimm, S. L., & Joppa, L. (2017). Big data and biodiversity. Biological Conservation, 215, 27–29. https://doi.org/10.1016/j.biocon.2017.08.020
Sullivan, B. L., Aycrigg, J. L., Barry, J. H., Bonney, R. E., Bruns, N., Cooper, C. B., Kelling, S. (2014). The eBird enterprise: Citizen science for biodiversity. Biological Conservation, 169, 31–40. https://doi.org/10.1016/j.biocon.2013.11.003
Turner, W., Spector, S., Gardiner, N., Fladeland, M., Sterling, E., & Steininger, M. (2015). Remote sensing for biodiversity science and conservation. Trends in Ecology & Evolution, 30(6), 322–332. https://doi.org/10.1016/j.tree.2015.03.010
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