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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Hegade Kota, Govardhan
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Computer Science & IT Engineering

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Climate change and pollinator dynamics: integrating social media insights and ecological data for conservation strategies Hadimane, Pooja; Kukkuvada, Ashoka; Hediyalad, Gangamma; Hegade Kota, Govardhan; Kisan, Rajeswari; Patil, Shivanand; Myala, Arjun; Anekonda Subhash, Basavaraja
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i2.pp1680-1690

Abstract

Pollination is an essential ecosystem service intricately linked to biodiversity, ecosystem health, and agricultural systems. The need to understand the effect of climate change on pollination processes has never been greater, given that a significant portion of global crop production is dependent on biotic pollination. This survey paper examines the multifaceted challenges that climate change poses to pollination dynamics across various ecosystems. By synthesizing existing literature to highlight how alterations in temperature and precipitation patterns have led to a phenological mismatch between pollinators and plants, potentially disrupting established trophic relationships and ecosystem functions. Our review reveals that insect-pollinated plants, particularly those that bloom early in the season, exhibit a heightened sensitivity to climate-induced phenological shifts. Moreover, exploring how the altered life cycles of pollinators, struggling to synchronize with the new flowering schedules, may precipitate declines in pollination services. Our findings underscore the critical need for conservation strategies that address climate adaptation for pollinators, focusing on enhancing landscape connectivity and heterogeneity. By bridging diverse studies ranging from the application of social media data in ecological research to advanced predictive models for pollination services, the main aim is to foster a deeper understanding of the consequences of climate change on pollination.
Co-Authors Anekonda Subhash, Basavaraja Hadimane, Pooja Hediyalad, Gangamma Kisan, Rajeswari Kukkuvada, Ashoka Myala, Arjun Patil, Shivanand