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http://hdl.handle.net/11531/82291
Título : | Predicting Sex in White Rhinoceroses: A Statistical Model for Conservation Management |
Autor : | Martinez, Leticia Jimena de Andrés, Paloma Caperos Montalbán, José Manuel Silván, Gema Fernandez-Morán, Jesus Casares, Miguel Crespo, Belen Vélez, Daniel Sanz, Luis Caceres, Sara Illera, Juan Carlos |
Fecha de publicación : | 10-ago-2023 |
Resumen : | . Over the past few years, there has been an increasing interest in comprehending the structure and dynamics of wild populations. This plays a pivotal role in enhancing our knowledge of wildlife management, conservation biology, and behavioral ecology. The primary objective of this study was to construct a mathematical model that could anticipate the sex of the white rhinoceros (Ceratotherium simum) by employing non-invasive techniques. The development of this predictive mathematical model—which utilizes concentrations of fecal cortisol, progesterone, estrone, and testosterone metabolites, and which achieves an accuracy rate of approximately 80% for white rhinoceroses—represents a significant and groundbreaking advancement in the realm of wildlife conservation. |
Descripción : | Artículos en revistas |
URI : | https://doi.org/10.3390/ani13162583 |
ISSN : | 2076-2615 |
Aparece en las colecciones: | Artículos |
Ficheros en este ítem:
Fichero | Tamaño | Formato | |
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2023810213056145_animals-13-02583.pdf | 807,11 kB | Adobe PDF | Visualizar/Abrir |
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