<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Omanakuttan, K.</style></author><author><style face="normal" font="default" size="100%">Pandey, T.</style></author><author><style face="normal" font="default" size="100%">Chettri, A.</style></author><author><style face="normal" font="default" size="100%">Upadhyay, S.</style></author><author><style face="normal" font="default" size="100%">Kumar, S.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Predicting the global distribution of Coffee Bee Hawk Moth (Cephanodes [sic] hylas L.) under climate change using MaxEnt</style></title><secondary-title><style face="normal" font="default" size="100%">Scientific Reports</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">CEPHONODES</style></keyword><keyword><style  face="normal" font="default" size="100%">CLIMATE CHANGE</style></keyword><keyword><style  face="normal" font="default" size="100%">DISTRIBUTION</style></keyword><keyword><style  face="normal" font="default" size="100%">ECOLOGY</style></keyword><keyword><style  face="normal" font="default" size="100%">MAXENT</style></keyword><keyword><style  face="normal" font="default" size="100%">PEST</style></keyword><keyword><style  face="normal" font="default" size="100%">SPECIES DISTRIBUTION MODELLING</style></keyword><keyword><style  face="normal" font="default" size="100%">SPHINGIDAE</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2026</style></year><pub-dates><date><style  face="normal" font="default" size="100%">27/02/2026</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1038/s41598-026-41791-x</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">16</style></volume><pages><style face="normal" font="default" size="100%">11258</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&amp;quot;&lt;em&gt;Cephonodes hylas&lt;/em&gt;, 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 &lt;em&gt;Coffea &lt;/em&gt;species and &lt;em&gt;Gardenia&lt;/em&gt;, making its distribution assessment crucial for future agricultural impact and management. This study employed MaxEnt to evaluate the potential distribution of &lt;em&gt;C. hylas&lt;/em&gt; 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, &lt;em&gt;C. hylas&lt;/em&gt; 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&amp;rsquo;s impact amid climate change.&amp;quot;&lt;/p&gt;
</style></abstract><work-type><style face="normal" font="default" size="100%">In press</style></work-type><section><style face="normal" font="default" size="100%">11258</style></section></record></records></xml>