6 documents found, page 1 of 1
Sustainability of large language models: user perspective
Pipek, Pavel; Canavan, Shane; Canavan, Susan; Capinha, César; Gippet, Jérôme MW; Novoa, Ana; Pyšek, Petr; Souza, Allan T; Wang, Shengyu; Jarić, IvanLarge language models (LLMs) are becoming an integral part of our daily work. In the field of ecology, LLMs are already being applied to a wide range of tasks, such as extracting georeferenced data or taxonomic entities from unstructured texts, information synthesis, coding, and teaching (Methods Ecol Evol 2024; Npj Biodivers 2024). Further development and increased use of LLMs in ecology, as in science in gene...
Revealing chronotypes across aquatic species using acoustic telemetry
Martorell‐Barceló, Martina; Abecasis, David; Akaarir, Mourad; Alonso‐Fernández, Alexandre; Arlinghaus, Robert; Aspillaga, EnekoAcoustic telemetry offers valuable opportunities to investigate individual variability in circadian-related and other behaviours and how environmental cues shape these patterns in wild fish populations. However, this potential has not yet been fully exploited. We conducted a meta-analysis on 44 datasets from 34 distinct marine and freshwater species and different types of data (acoustic detections, depth, accel...
Using citizen science data for predicting the timing of ecological phenomena ac...
Capinha, César; Ceia-Hasse, Ana; de-Miguel, Sergio; Vila-Viçosa, Carlos; Porto, Miguel; Jarić, Ivan; Tiago, Patricia; Fernández, Néstor; Valdez, JoseThe scarcity of long-term observational data has limited the use of statistical or machine-learning techniques for predicting intraannual ecological variation. However, time-stamped citizen-science observation records, supported by media data such as photographs, are increasingly available. In the present article, we present a novel framework based on the concept of relative phenological niche, using machine-le...
Using citizen science data for predicting the timing of ecological phenomena ac...
Capinha, César; Ceia-Hasse, Ana; de-Miguel, Sergio; Vila-Viçosa, Carlos; Porto, Miguel; Jarić, Ivan; Tiago, Patrícia; Fernández, Néstor; Valdez, JoseThe scarcity of long-term observational data has limited the use of statistical or machine-learning techniques for predicting intraannual ecological variation. However, time-stamped citizen-science observation records, supported by media data such as photographs, are increasingly available. In the present article, we present a novel framework based on the concept of relative phenological niche, using machine-le...
Aquatic fungi: largely neglected targets for conservation
Vatova, Mariyana; Rubin, Conrad; Grossart, Hans‐Peter; Gonçalves, Susana C.; Schmidt, Susanne I; Jarić, IvanThis work was supported by JE Purkyně Fellowship of the Czech Academy of Sciences (IJ); Erasmus+ programme and the Faculty of Science, University of South Bohemia (MV, CR); German Science Foundation project in the frame of the “Antarktis SPP 1158” [GR1540/33-1] (H-PG); MEMOBIC, EU Operational Programme Research, Development and Education [CZ.02.2.69/0.0/ 0.0/16_027/000 8357], and Ministry of Education, Youth an...
Aquatic fungi: largely neglected targets for conservation
Vatova, Mariyana; Rubin, Conrad; Grossart, Hans‐Peter; Gonçalves, Susana C; Schmidt, Susanne I; Jarić, IvanAquatic fungi (true fungi and fungi-like oomycetes) are a diverse group that plays a key role in aquatic ecosystems through carbon and nutrient cycling, production of essential organic compounds, foodweb dynamics, and energy flow (Gladfelter et al. 2019; Grossart et al. 2019; Ruess and Müller-Navarra 2019) (Figure 1). They have the ability to shift foodweb structure, affect eco-evolutionary processes via biotic...