ARTIFICIAL INTELLIGENCE IN ECOLOGICAL RESTORATION: A CATALYST FOR SUSTAINABLE ENVIRONMENTAL MANAGEMENT
Abstract
With the environmental problems among which such critical issues as the loss of biological diversity and urgent need to address the degradation of the environment, the elucidation of the role of artificial intelligence in finding cognitively and technically efficient solutions to many of these problems becomes crucial. This review systematically analyses the role of AI in enhancing ecological restoration to include practices conducted between 2020 and 2024. An uptake of the employment of large datasets, improvements in predictive models, and real-time surveillance with the help of AI is changing the process of approaching the difficulty such as conservation of species and ecosystems, monitoring of the environment, and climate change adaptation. AI is not just enhancing the accuracy of the ecological assessments with the help of complex formulas; it is also helpful in enhancing the effectiveness of the restoration techniques through data-aided, adaptive management. Also, the AI is helping to shift to green sources of power, cut back on pollution, and reduce environmental impacts, making it a key player in fighting climate change. In addition, the improvement of ecosystem capabilities to climate change and promotion of adaptive conservational measures imply AI’s importance in the fight against ecological degradation. However, there are still highly relevant limitations, including; Lack of data/insufficient data sets, the high resource requirement for AI technologies, and finally, and perhaps more importantly, there are ethical issues such as algorithmic interpretability and data privacy. Such problems can be solved only through integration with other sciences and the creation of efficient policies to work with the AI as a tool. It is crucial to stand and invest in ideas and forming tactics in the development and implementation of AI applications for ecological restoration for the sustained optimization of ecosystems which this review outlines as a promising way to an improved and more diverse planet.
Keywords Artificial Intelligence in Ecological Restoration. Sustainable Environmental Management. Biodiversity Conservation. Climate Change Adaptation. Adaptive Ecosystem Management. Data-Driven Conservation.
