Results 31 to 40 of about 3,827 (121)
Wildlife Biology, EarlyView.Limited information on moose calving behaviour, including parturition timing, cow‐calf interactions, and pre‐ and post‐partum movement patterns hinder our ability to define calving phenology and habitat use. GPS‐collars were deployed on 89 female moose over five years, including eight collars equipped with animal‐borne video and environmental data ...
Mikaela Borgeaud LeBlanc +3 more
wiley +1 more source
Animal Conservation, EarlyView.The response of bats to Australian megafires was assessed one year after fires. High severity fire had a negative effect on total bat activity and the activity or occupancy of six species, while a further 10 species was not associated with any fire covariate. Overall, bat responses were complex and not easily predicted by traits alone.
B. Law +7 more
wiley +1 more source
Boreas, EarlyView.Palynological records are central to the biostratigraphic subdivision of the Late Pleistocene in central Europe. Yet many interglacial and interstadial phases—such as the Eemian, Brörup and Odderade—remain only poorly constrained in time due to limited numerical dating.
Michael Hein +19 more
wiley +1 more source
BumbleBEEP: A Sensor System for Bumblebee Colony Monitoring
Entomologia Experimentalis et Applicata, EarlyView.We present a bumblebee colony monitoring system, BumbleBEEP. The system is fitted with thermometers and a custom weight sensor. These record data up to every 15 min, recording bumblebee brood nest temperature, environmental ambient temperature, and colony growth.
Nynke Blömer +5 more
wiley +1 more source
Insect Conservation and Diversity, EarlyView.Here, we used a unique 37‐year (1969–2006) freshwater macroinvertebrate time‐series, collected over seven sites in central Germany, to study biodiversity patterns and species accumulation over time. Accumulation curves of Diptera diversity have not reached a plateau in 37 years of sampling.
Nathan Jay Baker +10 more
wiley +1 more source
Comparing deep learning models for butterfly and moth (Lepidoptera) species identification
Insect Conservation and Diversity, EarlyView.Deep learning models open new possibilities for the processing of image‐based species records. We used high‐performance computing to compare 40 models for butterfly and moth species identification based on a citizen science dataset with over 500,000 images of 162 species.
Friederike Barkmann +2 more
wiley +1 more source
Journal of Applied Entomology, EarlyView.ABSTRACT Globally, citrus production areas are threatened by greening diseases, also known as Huánglóngbíng (HLB), associated with phloem‐limited gram‐negative species of the genus Candidatus Liberibacter. Those pathogens are transmitted by either the Asian citrus psyllid, Diaphorina citri Kuwayama 1908 (Hemiptera: Psyllidae), or the African citrus ...
Kevin Malod +3 more
wiley +1 more source
Fish welfare in a changing world: New developments and current challenges
Journal of Fish Biology, EarlyView.Abstract The welfare of non‐human animals is central to ethical discussions on animal use, with increasing attention to fish welfare across research, aquaria, aquaculture, and fisheries. This paper reviews current theoretical approaches to animal welfare and recent advances in defining and assessing fish welfare since the seminal paper by Huntingford ...
Sonia Rey Planellas +16 more
wiley +1 more source
Limnology and Oceanography Letters, Volume 11, Issue 5, September 2026.Abstract Zooplankton transfer substantial energy in aquatic food webs and are used as indicators of environmental change. Syntheses of zooplankton community dynamics globally require datasets that span a wide range of environmental gradients; however, these datasets are limited due to methodological differences across programs, taxonomic ...
Stephanie E. Figary +142 more
wiley +1 more source
Deep Learning Pipeline for the Identification of Ground Beetles (Carabidae) in New Zealand
New Zealand Journal of Zoology, Volume 53, Issue 3, September 2026.The identification of invertebrates is often difficult and time‐consuming because of their high abundance and diversity. This limits the use of invertebrates in environmental monitoring and conservation. However, computer vision approaches combined with deep learning models offer a range of benefits to insect conservation, particularly for image‐based ...
Yuzhi Gong +2 more
wiley +1 more source