[Eoas-seminar] [Seminar-announce] Scientific Computing Colloquium with Pankaj Chouhan
eoas-seminar at lists.fsu.edu
eoas-seminar at lists.fsu.edu
Fri Feb 14 15:56:49 EST 2025
"Predicting Suitable Habitats for Pest Insects in the Continental US Under Current and Future Climate Conditions Using Maxent"
Pankaj Chouhan
Department of Scientific Computing,
Florida State University (FSU)
Please feel free to forward/share this invitation with other groups/disciplines that might be interested in this talk/topic. All are welcome to attend.
NOTE: In-person attendance is requested in our 499 Dirac Science Library (DSL) Seminar Room. Zoom access is intended for external (non-departmental) participants only.
https://fsu.zoom.us/j/94273595552
Meeting # 942 7359 5552
🎦 Colloquium recordings will be made available here, https://www.sc.fsu.edu/colloquium<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fcolloquium&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7Cdfeebae42a2546d20a9508dd4d3a1a16%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638751634107812544%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=5Pn%2BbWGc8a5SkMbaLK5fsU2Z2c66mQwExvuinnpOMXc%3D&reserved=0>
Wednesday, Feb 19, 2025, Schedule:
* 3:00 to 3:30 PM Eastern Time (US and Canada)
☕ Nespresso & Teatime - 417 DSL Commons
* 3:30 to 4:30 PM Eastern Time (US and Canada)
🕟 Colloquium - 499 DSL Seminar Room
Abstract:
The spread of pest insect species poses major challenges to agriculture, forestry, and biodiversity. The Food and Agriculture Organization of the United Nations estimates that pests cause 20–40% of global crop losses annually, valued at over $290 billion. To mitigate these losses, understanding where these pests might spread—especially in response to climate change—is crucial for proactive management and food security.
Species distribution modeling (SDM) is a powerful tool for predicting where species are likely to thrive. One widely used method is Maxent, a machine learning-based ecological model. In this talk, I will present a study that predicts suitable habitats for three key pest insect species in the continental United States:
*
Brown Marmorated Stink Bug (Halyomorpha halys)
*
Corn Earworm (Helicoverpa zea)
*
Root Weevil (Diaprepes abbreviatus)
Our models integrate pest occurrence records with crop data, bioclimatic variables, and elevation profiles to estimate current habitat suitability.
We also analyze key factors driving these changes, highlighting the importance of careful model design—particularly the selection of background points, a crucial aspect of Maxent modeling that can influence results.
Our findings emphasize the need to incorporate future climate scenarios into pest management strategies, offering valuable insights to enhance agricultural resilience and ecological sustainability.
Additional colloquium details can be found here,
https://www.sc.fsu.edu/news-and-events/colloquium/1857-colloquium-with-pankaj-chouhan-2025-02-19<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fnews-and-events%2Fcolloquium%2F1857-colloquium-with-pankaj-chouhan-2025-02-19&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7Cdfeebae42a2546d20a9508dd4d3a1a16%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638751634107827048%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=gYocccgHm7p%2FYXr3ftjZRpiJXxFoPMampRU1Hm%2F6wOI%3D&reserved=0>
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