logo

Expertos del Instituto de Biología (IB) de la UNAM encontraron marcadores de evolución rápida en los anfibios de Peña de Lobos y La Marquesa (ambos sitios en el Estado de México); y Zempoala, en Hidalgo, mediante la técnica de microsatélites (o simple sequence repeat y short tandem repeat), resultado que evidencia la mezcla y aislamiento de algunas poblaciones. Leer más.

https://www.dgcs.unam.mx/boletin/bdboletin/multimedia/WAV221101/909(1)a.jpg

We obtained kernels of variable robustness for six species. Node importance for connectivity varied between species, but with common patterns such as shared road crossing areas and the presence of coincident interconnected pond clusters. The combination of photoidentification, capture-recapture data and graph theory allowed us to characterize functional connectivity across the pondscape of study accounting for dispersal variability and identify areas where conservation actions could be most efficient. Our results highlight the need to account for interspecific differences in the study and management of amphibian pondscapes. Leer más.

https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs10980-022-01520-x/MediaObjects/10980_2022_1520_Fig4_HTML.png?as=webp

La tortuga mediterránea o de tierra vuelve a habitar el entorno del embalse de El Catllar. De momento todavía no de forma consolidada, ya que aún tendrá que esperarse unos años para conocer cómo evoluciona la población de estos ejemplares que empezaron a liberarse hace un año y medio aproximadamente, dentro del programa para la reintroducción liderado por el Centre de Recuperació d’Amfibis i Rèptils de Catalunya (CRARC). Leer más.

https://www.diaridetarragona.com/binrepository/768x499/1c59/768d432/none/15017645/NQPW/0311-tarragona-repsol-4_241-570272_20221102193501.jpg

We address two classification experiments: (1) assignment of images of the morphologically relatively distinct P. bocagei and P. lusitanicus; and (2) distinction between the overall more cryptic nine taxa that compose this complex. We used four datasets (two image perspectives and individuals of the two sexes) and three deep-learning models to address each problem. Our results suggest a high ability of the models to identify the correct species, especially when combining predictions from different perspectives and models (accuracy of 95.9% and 97.1% for females and males, respectively, in the two-class case; and of 91.2% to 93.5% for females and males, respectively, in the nine-class case). Leer más.

https://oup.silverchair-cdn.com/data/SiteBuilderAssets/Live/Images/zoolinnean/zoolinnean_h1404917972.png