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Loss and Gain in Potential Distribution of Threatened Wild Cotton Gossypium thurberi in Mexico under Future Climate

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  • Alma Delia Baez-Gonzalez

    (Campo Experimental Pabellón, Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias (INIFAP), Km 32.5 Carr. Aguascalientes-Zacatecas, Pabellon de Arteaga 20660, Aguascalientes, Mexico)

  • Kimberly A. Alcala-Carmona

    (Facultad de Zootecnia y Ecología, Universidad Autonoma de Chihuahua, Periferico Francisco R. Almada Km 1, Chihuahua 33820, Chihuahua, Mexico)

  • Alicia Melgoza-Castillo

    (Facultad de Zootecnia y Ecología, Universidad Autonoma de Chihuahua, Periferico Francisco R. Almada Km 1, Chihuahua 33820, Chihuahua, Mexico)

  • Mieke Titulaer

    (Facultad de Zootecnia y Ecología, Universidad Autonoma de Chihuahua, Periferico Francisco R. Almada Km 1, Chihuahua 33820, Chihuahua, Mexico)

  • James R. Kiniry

    (Grassland Soil and Water Research Laboratory, Agricultural Research Service, USDA, 8080 E. Blackland Rd., Temple, TX 76502, USA)

Abstract

Gossypium thurberi , a threatened wild cotton species native to northern Mexico and southwestern USA, is globally important because its agronomic traits can be introgressed into cultivated species to improve fiber quality and resistance to biotic and abiotic stressors. However, studies on the current and future potential distribution of the species are scarce. The objectives of this study were (1) to develop a distribution model of G thurberi using a Geographic Information System platform, (2) determine environmental factors that influence the current distribution of the species in Mexico, and (3) estimate the potential distribution of the species under current and future climates. We analyzed the following variables: Annual Available Soil Water (mm year −1 , AASW), Flowering Growing Degree Days (FGDD), absolute minimum temperature (°C, Tminabs), and altitude (amsl, ALT). Results showed that the current potential distribution of G. thurberi in northern Mexico, estimated at 112,727 square kilometers, is projected to be drastically reduced by 77 and 86%, considering a possible increase in temperature of 1.5 °C and 2 °C in near-future (2021–2040) and mid-future (2041–2060) climates, respectively, and a 100 mm reduction in average annual precipitation under both climates. The greatest reduction will be in areas in Sonora (Mexico) adjoining Arizona (USA), where the largest populations of the species are currently reported. AASW, FGDD, and ALT jointly influence the distribution of G. thurberi , with AASW as the dominant factor under future climate change. The areas that may continue to harbor populations of G. thurberi under future climate will present AASW of 0.2–55.6 mm year −1 , FGDD of 242–547, and ALT between 550 and 1561 amsl. The projected future potential distribution in the country includes new suitable areas, including one in the Trans-Mexican Volcanic Belt, that may serve as refuge areas. The findings can contribute to the design of more precise collection efforts and conservation strategies to prevent species extinction.

Suggested Citation

  • Alma Delia Baez-Gonzalez & Kimberly A. Alcala-Carmona & Alicia Melgoza-Castillo & Mieke Titulaer & James R. Kiniry, 2022. "Loss and Gain in Potential Distribution of Threatened Wild Cotton Gossypium thurberi in Mexico under Future Climate," Sustainability, MDPI, vol. 14(20), pages 1-25, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13144-:d:941379
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    References listed on IDEAS

    as
    1. Alma Delia Baez-Gonzalez & Alicia Melgoza-Castillo & Mario Humberto Royo-Marquez & James R. Kiniry & Manyowa N. Meki, 2022. "Modeling the Distribution of Wild Cotton Gossypium aridum in Mexico Using Flowering Growing Degree Days and Annual Available Soil Water," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    2. Muhammad Asgher Ali & Mujtaba Hassan & Mazhar Mehmood & Dildar Hussain Kazmi & Farrukh Ahmed Chishtie & Imran Shahid, 2022. "The Potential Impact of Climate Extremes on Cotton and Wheat Crops in Southern Punjab, Pakistan," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
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