Skip to main content
UTRGV
Give Apply
UTRGV Logo
  • Directory
  • myUTRGV
  • Maps
  • Give
  • Apply
  • Home
  • About the Lab Open the About the Lab Navigation Section
    • Online Application
    • Contact Us
  • News
  • Research Projects
  • Conferences
  • Community Engagement Open the Community Engagement Navigation Section
    • Research
  • Teaching
  • Students
  • ¡Juntos al Éxito!
  • C.A. Locust Project Open the C.A. Locust Project Navigation Section
    • Related Information
    • Meet our Students
    • Community Outreach
    • Fieldwork and Maps
    • Meet our Mentors
    • AI and Machine Learning
UTRGV
The University of Texas Rio Grande Valley
Ferialab Biosafety Laboratory
School of Integrative and Biological and Chemical Sciences
  • Home
  • About the Lab

    About the Lab

    Research in this lab is focused on understanding the present and future distribution of species. There are three main lines of research related to endangered species, invasive species, and vector borne diseases.

    Read More
    • Online Application
    • Contact Us
  • News
  • Research Projects
  • Conferences
  • Community Engagement

    Community Engagement

    • Research
  • Teaching
  • Students
  • ¡Juntos al Éxito!
  • C.A. Locust Project

    C.A. Locust Project

    • Related Information
    • Meet our Students
    • Community Outreach
    • Fieldwork and Maps
    • Meet our Mentors
    • AI and Machine Learning
  1. Home
  2. Central American Locust Project
  3. Related Information

CAL Research


Here you will find selected articles, research papers, and resources that informed the Central American Locust (CAL) Project. Many of these can be accessed through the UTRGV Library or via their DOI / publisher links.

Click + to display the accordions with sources:

  • Poot-Pech, M. A., Ruiz-Sánchez, E., Gamboa-Angulo, M., Ballina-Gómez, H. S., & Reyes-Ramírez, A. (2018). Population fluctuation of Schistocerca piceifrons (Central American locust) (Orthoptera: Acrididae) in the Yucatan Peninsula and its relation with environmental conditions. Revista de Biología Tropical, 66(1), 403–416. Available via UTRGV Library: https://go.gale.com/ps/i.do?p=AONE&u=txshracd2633&id=GALE%7CA533000633&v=2.1&it=r&sid=bookmark-AONE&asid=6c405f59
     
  • Foquet, B., Little, D. W., Medina-Durán, J. H., & Song, H. (2022). The time course of behavioural phase change in the Central American locust Schistocerca piceifrons. Journal of Experimental Biology, 225(23), Article 244621.https://doi.org/10.1242/jeb.244621
  • Foquet, B., & Song, H. (2021). The role of the neuropeptide [His7]-corazonin on phase-related characteristics in the Central American locust. Journal of Insect Physiology, 131, Article 104244. https://doi.org/10.1016/j.jinsphys.2021.104244

  • Hernández-Zul, M. I., Quijano-Carranza, J. A., Yáñez-López, R., Ocampo-Velázquez, R. V., Torres-Pacheco, I., Guevara-González, R. G., & Castro-Ramírez, A. E. (2013). Dynamic simulation model of Central American locust Schistocerca piceifrons (Orthoptera: Acrididae). Florida Entomologist, 96(4), 1274–1283. https://doi.org/10.1653/024.096.0405

  • Puga-Patlán, P., Barrientos-Lozano, L., Sánchez-Reyes, U. J., Rocha-Sánchez, A. Y., & Almaguer-Sierra, P. (2024). Impact of climate change on the generation of new breeding areas of Schistocerca piceifrons piceifrons. Southwestern Entomologist, 49(1), 364–389. https://doi.org/10.3958/059.049.0130

  • Gay, P., Lecoq, M., & Piou, C. (2018). Improving preventive locust management: Insights from a multi-agent model. Pest Management Science, 74(1), 46–58. https://doi.org/10.1002/ps.4648

  • Frazier, A. E., & Song, L. (2024). Artificial intelligence in landscape ecology: Recent advances, perspectives, and opportunities. Current Landscape Ecology Reports, 10(1), Article 1. https://doi.org/10.1007/s40823-024-00103-7

  • Yin, W., Ragab, S. H., Tyshenko, M. G., Arroyo, T. F., & Oraby, T. (2025). Comparing machine learning, deep learning, and reinforcement learning performance in Culex pipiens predictive modeling. PLOS ONE, 20(11), e0333536. https://doi.org/10.1371/journal.pone.0333536

  • Riva, F., Martin, C. J., Galán Acedo, C., Bellon, E. N., Keil, P., Morán-Ordóñez, A., Fahrig, L., & Guisan, A. (2024). Incorporating effects of habitat patches into species distribution models. Journal of Ecology, 112(10), 2162–2182. https://doi.org/10.1111/1365-2745.14403

  • Poot-Pech, M. A., & Song, H. (2023). The Central American locust: Risk and prevention. In R. Sivanpillai & J. F. Shroder (Eds.), Biological and Environmental Hazards, Risks, and Disasters (2nd ed., pp. 129–154). Elsevier. https://doi.org/10.1016/B978-0-12-820509-9.00012-5 

  • Locust Watch – Sword Lab, Texas A&M University.
The Locust Watch project at Texas A&M focuses on monitoring the potential arrival of the Central American locust (Schistocerca piceifrons) in the United States and provides tools for reporting sightings and understanding risk along the U.S.–Mexico border. https://swordlab.tamu.edu/locust-watch/ 

Quick Links

  • USDA
  • TACFSA
  • School of Integrative and Biological and Chemical Sciences
  • Empowering Future Agricultural Scientists

Contact Ferialab


Edinburg

Dr. Teresa Patricia Feria Arroyo
Director
School of Integrative Biological and Chemical Sciences
ESCNE 2.360
Email: teresa.feriaarroyo@utrgv.edu
Phone: (956) 665-7322

Hours

Monday - Friday
8:00 a.m. - 5:00 p.m.
UTRGV The University of
Texas Rio Grande Valley

Connect with us:


  • CARES, CRRSAA and ARP Reporting
  • Site Policies
  • Required Links
  • Fraud Reporting
  • Senate Bill 18
  • Clery Act Reports
  • Web Accessibility
  • Mental Health Resources
  • Sexual Misconduct Policy
  • Contact UTRGV

©2022 The University of Texas Rio Grande Valley.