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@article{195470,
        author = {M. Siddhartha and R. Gayatri and S. Surya Chaitanya and M. Vishnu Vardhan},
        title = {Understanding Climate Change Effects on Bird Migration: A Spatiotemporal Approach with GRU and HDBSCAN},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {126-129},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195470},
        abstract = {This study investigates the influence of climate change on bird migration patterns, utilizing machine learning techniques to predict and analyze migratory behaviors. Bird migration is a complex, seasonal phenomenon influenced by environmental changes that affect survival and reproduction. Climate change, particularly rising global temperatures and altered seasonal patterns, has increasingly impacted migratory routes, timings, and morphological characteristics of bird species. This research employs a Gated Recurrent Unit (GRU) model alongside Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN), trained on historical migration data and climatic factors, to predict future migration patterns and assess environmental impacts. The methodology includes data preprocessing, model training, prediction visualization, and comparative analysis with climate data. By providing insights into shifting migration trends, this approach aims to support conservation efforts, enhance understanding of climate change's ecological effects, and improve strategies for preserving migratory bird populations. The findings highlight critical environmental variables and offer recommendations for mitigating the adverse effects of climate change on avian migration.},
        keywords = {},
        month = {March},
        }