Search

Search Results

Dryad Logo
Riva, Federico; Drapeau Picard, André-Philippe; Larrivée, Maxim 2023-02-14 <p><span lang="EN-CA">Diel patterns in foraging activity are dictated by a combination of abiotic, biotic, and endogenous limits. Understanding these limits is important for insects because ectotherm taxa will respond more pronouncedly to ongoing climatic change, potentially affecting crucial ecosystem services. We leverage an experimental macrocosm, the Montreal Insectarium Grand Vivarium, to test the importance of endogenous mechanisms in determining temporal patterns in foraging activity of butterflies. Specifically, we assessed the degree of temporal niche partitioning among 24 butterfly species originating from the Earth’s tropics within controlled environmental conditions. We found strong niche overlap, with the frequency of foraging events peaking around solar noon for 96% of the species assessed. Our models suggest that this result was not due to the extent of cloud cover, which affects radiational heating and thus limits body temperature in butterflies. Together, these findings suggest that an endogenous mechanism evolved to regulate the timing of butterfly foraging activity within suitable environmental conditions. Understanding similar mechanisms will be crucial to forecast the effects of climate change on insects, and thus on the many ecosystem services they provide.</span></p>
Zenodo Logo
Zenodo
Jain, Aditya; Cunha, Fagner; Bunsen, Michael James; Cañas, Juan Sebastián; Pasi, Léonard; Pinoy, Nathan; Helsing, Flemming; Russo, JoAnne; Botham, Marc; Sabourin, Michael; Frechette, Jonathan; Anctil, Alexandre; Lopez, Yacksecari; Navarro, Eduardo; Pimentel, Filonila Perez; Zamora, Ana Cecilia; Silva, José Alejandro Ramirez; Gagnon, Jonathan; August, Tom; Bjerge, Kim; Segura, Alba Gomez; Bélisle, Marc; Basset, Yves; McFarland, Kent P.; Roy, David; Høye, Toke Thomas; Larrivée, Maxim; Rolnick, David 2024-06-26 The dataset created as part of the work "Insect Identification in the Wild: The AMI Dataset". The arXiv version is available here. The AMI (Automated Monitoring of Insects) dataset, consists of two parts: 1) AMI-GBIF, a dataset of ∼2.5M human-captured insect images curated from citizen science platforms and museum collections, 2) AMI-Traps, an expert-annotated dataset of 2,893 insect camera trap images (representing 52,948 labeled insects) collected from a global network of automated camera traps, designed to test in-the-wild performance. https://opensource.org/licenses/MIT

Map search instructions

1.Turn on the map filter by clicking the “Limit by map area” toggle.
2.Move the map to display your area of interest. Holding the shift key and clicking to draw a box allows for zooming in on a specific area. Search results change as the map moves.
3.Access a record by clicking on an item in the search results or by clicking on a location pin and the linked record title.
Note: Clusters are intended to provide a visual preview of data location. Because there is a maximum of 50 records displayed on the map, they may not be a completely accurate reflection of the total number of search results.