Results 21 to 30 of about 900 (137)

The potential of seedbank digital information in plant conservation

PLANTS, PEOPLE, PLANET, Volume 8, Issue 4, Page 1017-1028, July 2026.
Seedbanks are vital for biodiversity conservation, but their potential remains underutilised due to a limited understanding of the intraspecific genetic diversity they hold. By leveraging digitised data associated with seedbank collections, such as sampling locations, number of maternal plants and seed traits, we can attempt the estimation of genetic ...
Roberta Gargiulo, Sean Hoban, Anne M. Visscher, Pablo Gómez Barreiro, Roberta L. C. Dayrell, Kiran L. Dhanjal‐Adams, Alice R. Hudson, Charlotte E. Seal, Simon Kallow, Jan Sala, Lee Oliver, Naomi Carvey, Ted Chapman, Efisio Mattana, Clare Callow, Christopher Cockel, Michael F. Fay, Juan Viruel, Inna Birchenko, Stephanie Miles, Timothy Pearce, Paul Kersey, Elinor Breman, Kate A. Hardwick   +23 more
wiley   +1 more source

Mothbox and Mothbot: Automated light trap and data processing system for scalable insect monitoring

Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2082-2091, July 2026.
Abstract Insects represent the most diverse group of organisms on Earth and comprise the majority of known species; yet they are seldom accounted for in large‐scale biodiversity monitoring systems and conservation planning. We have developed the Mothbox—an open source automated light trap that makes insect monitoring accessible to non‐specialists and ...
Hubert A. Szczygieł, Brianna Johns, Bernat Fortet, Daisy H. Dent, Kit Quitmeyer, Andrew Quitmeyer   +5 more
wiley   +1 more source

Graph tools for analysing trophic assemblies in the isotopic space

Methods in Ecology and Evolution, Volume 17, Issue 6, Page 1910-1925, June 2026.
Abstract A large amount of information on the trophic assembly of ecosystems is summarized in the isotopic space, and metrics for extracting this information are essential. Here, we show how the characterization of the isotopic space as an isotopic‐network of organisms linked by their trophic similarity significantly expands the isotopic toolbox for ...
Stéphanie Gascón, Ana Inés Borthagaray, Dani Boix, Jordi Sala, Matías Arim   +4 more
wiley   +1 more source

Percepciones de los estudiantes sobre el uso de Facebook y Twitter en el contexto educativo por medio de la ciencia de datos y el aprendizaje automático

Pixel-Bit, 2020
Esta investigación cuantitativa tiene como objetivo analizar las percepciones de los estudiantes sobre el uso de Facebook y Twitter en el contexto educativo por medio de la ciencia de datos y el aprendizaje automático.
Ricardo-Adán Salas-Rueda
doaj   +1 more source

Sistema de etiquetado automático de contenidos educativos para favorecer su reusabilidad e interoperabilidad

Edutec, 2013
En este trabajo presentamos un proyecto de etiquetaje automático de objetos de aprendizaje. Destacando la importancia del etiquetado de materiales para favorecer su reusabilidad, se realiza un análisis de los problemas que nos encontramos para añadir ...
Jordi Juárez Mecías, Óscar Flores Alarcía   +1 more
doaj   +1 more source

Modelo de Clasificación de Incidentes Tecnológicos desde un Enfoque de Aprendizaje Automático en Servicios de Seguros

Dyna, 2022
La gestión de incidentes tecnológicos en las compañías de seguros requiere una asignación correcta y oportuna de estos a los equipos de resolución de problemas.
Paola Andrea Gómez-Jaramillo, Favián González-Echavarría, Jorge Iván Pérez-Rave   +2 more
doaj   +1 more source

Machine Learning Model for an App‐Based Tool to Assist With the Diagnosis of Canine Atopic Dermatitis

Veterinary Dermatology, Volume 37, Issue 2, Page 236-246, April 2026.
Canine atopic dermatitis (cAD) is a chronic condition requiring life‐long management. Accurate diagnosis can be challenging, with no reliable diagnostic test. This study aimed to generate a simple diagnostic model for cAD. This model is a relevant prototype for an app‐based tool to support general practitioners in the diagnosis of cAD alongside ...
Xavier Langon, Mathieu Montoya, Isabelle Gourdon   +2 more
wiley   +1 more source

Key drivers of at‐vessel mortality in demersal sharks

Conservation Biology, Volume 40, Issue 1, February 2026.
Abstract Chondrichthyans are highly vulnerable to fisheries overexploitation, and postcapture mortality poses a significant threat to most species. Global bycatch mitigation guidelines recommend adopting hierarchical decision‐making approaches tailored to species‐specific vulnerabilities and socioeconomic and regulatory contexts.
David Ruiz‐García, Claudio Barría, Juan A. Raga, David March   +3 more
wiley   +1 more source

CMiNet: An R package and user‐friendly Shiny App for constructing consensus microbiome networks

Methods in Ecology and Evolution, Volume 17, Issue 1, Page 52-66, January 2026.
Abstract Microbial networks offer critical insights into community structure, ecological interactions and host–microbe dynamics. However, constructing reliable microbiome networks remains challenging due to variability among existing inference methods, limited overlap between inferred networks and the absence of a gold standard (a universally accepted ...
Rosa Aghdam, Claudia Solís‐Lemus
wiley   +1 more source

Passive acoustic monitoring paired with machine learning outperforms playback surveys for a rare and cryptic species, the Black‐billed Cuckoo (Coccyzus erythropthalmus)

Conservation Science and Practice, Volume 7, Issue 12, December 2025.
Compared to playback surveys, passive acoustic monitoring provides increased detection probability and lower costs for monitoring a rare and cryptic avian species. Abstract Monitoring rare and cryptic species presents unique challenges and is of high importance for conservation practitioners.
Anna M. Kurtin, Erim Gómez, Nicole Hussey, Anna Noson, Megan O'Reilly, Tessa Rhinehart, Brandi Skone, Bella Wengappuly, Andy J. Boyce   +8 more
wiley   +1 more source