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March 1, 2026Scientific Reports1 citationsOpen Access

Predicting the global distribution of Coffee Bee Hawk Moth (Cephanodes hylas L.) under climate change using MaxEnt

KOKartik OmanakuttanUttarakhand Seva Nidhi Paryavaran Shiksha SansthanTPTaniya PandeyUttarakhand Seva Nidhi Paryavaran Shiksha SansthanACAbhimanyu ChettriUttarakhand Seva Nidhi Paryavaran Shiksha Sansthan

Key Points

  • This study aims to assess the potential distribution of the Coffee Bee Hawk Moth under climate change scenarios.
  • Utilized MaxEnt modeling for predicting species distribution
  • Evaluated potential habitats under three socioeconomic scenarios
  • Analyzed key environmental factors influencing distribution
  • Model accuracy achieved with AUC values of 0.925 and TSS around 0.815
  • Projected 6.51% increase in suitable habitats under low-emission scenario by 2080
  • High-emission scenario predicts 55.46% reduction in suitable areas

Abstract

Cephonodes hylas, or the Coffee Bee Hawk Moth, is a significant agricultural pest that threatens crops like coffee and garden plants in Asia, Oceania, and parts of Africa. Its larvae feed on Coffea species and Gardenia, making its distribution assessment crucial for future agricultural impact and management. This study employed MaxEnt to evaluate the potential distribution of C. hylas under three socioeconomic scenarios between 2041 and 2080. The model demonstrated high accuracy, with AUC values of 0.925 and TSS values of around 0.815. Key environmental factors affecting its distribution include precipitation, isothermality, temperature, and diurnal range. Currently, C. hylas is widespread across continents except Antarctica, with notable populations in Africa and Asia. Under a low-emission scenario, highly suitable habitats are projected to increase by 6.51% by 2080, while a high-emission scenario predicts a 55.46% reduction in suitable areas. This study underscores the need for monitoring and management to address the pest’s impact amid climate change.

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Cite This Study

Omanakuttan et al. (2026) studied this question.

synapsesocial.com/papers/69a3d7dfec16d51705d2e4cbhttps://doi.org/10.1038/s41598-026-41791-x
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