Results 101 to 110 of about 8,159 (169)
Image generation models can create synthetic ecological datasets and potentially alleviate limitations from sparse real data. Using 20 tree genera across community‐science and street‐view imagery, we tested whether synthetic images could replace or supplement real data for image classification.
Thomas A. Lake +3 more
wiley +1 more source
Pear (Pyrus communis L.) is a fruit species of significant economic importance worldwide. This study focused on reducing irrigation during the rapid growth stage of the pear cv.
Javier Enrique Vélez-Sánchez +2 more
doaj +1 more source
In this study, we developed AnuraSearch, an open‐source classifier for 11 Ukrainian amphibian species, by repurposing the avian BirdNET algorithm via transfer learning to process over 18,000 h of autonomous acoustic recordings. Although the model demonstrated high precision and successfully reconstructed detailed seasonal and diel vocal activity ...
Vasylyna Strus +5 more
wiley +1 more source
ABSTRACT Heirs' property, land passed down informally without a clear title, poses significant economic challenges due to the tragedy of the anti‐commons. This study examines the impact of the Uniform Partition of Heirs' Property Act (UPHPA) on land use patterns in U.S. counties with high concentrations of heirs' property.
Peter Calcagno +2 more
wiley +1 more source
Unraveling the impact of dog‐friendly spaces on urban–wildland pumas and other wildlife
As the most widespread large carnivore on the planet, domestic dogs Canis lupus familiaris can pose a major threat to wildlife, even within protected areas (PAs). Growing human presence in PAs, coupled with increasing pet dog ownership underscores the urgency to understand the influence of dogs on wildlife activity and health.
Alys Granados +3 more
wiley +1 more source
Second‐order habitat selection is influenced by a variety of factors, including individual‐ and species‐specific traits and resource requirements, as well as landscape characteristics. By comparing home range characteristics across individuals, species, and landscapes, we can draw conclusions regarding whether and how different factors influence home ...
Morgan J. Farmer +4 more
wiley +1 more source
As human‐modified landscape and climate changes proliferate, maintaining biodiversity and understanding the function and quality of available habitat is imperative. As anurans (frogs/toads) such as Pseudacris crucifer, can be an indicator species of habitat quality and ecosystem productivity, studying the anuran community in a mixed‐land use region ...
Brian C. Kron, Karen V. Root
wiley +1 more source
Urban expansion is a major driver of habitat fragmentation, shrinking wildlife habitat, and restricting wildlife movements and activity patterns. In this novel environment, species must adapt to the new composition of wildlife communities. For example, red squirrels Sciurus vulgaris are commonly found in urban environments, while their potential ...
Josefa Vergara Stuardo +2 more
wiley +1 more source
Wolf pup Canis lupus survival is a key driver of wolf population dynamics that remains poorly understood, especially in forested systems, because wolf pups are difficult to monitor. We used a combination of pup counts at dens and remote camera observations to estimate annual survival and recruitment of wolf pups in the Greater Voyageurs Ecosystem, MN ...
Andrea Hynes +4 more
wiley +1 more source
How to stay wild in a highly domesticated landscape? Spatiotemporal behaviour of wolves in Germany
Wild animals can adapt to the increasing presence of humans by either becoming accustomed to it or by avoiding humans by spatiotemporal separation. The return of the wolf to the German lowlands raised the opportunity to study wolf behaviour in one of the most densely populated and fragmented countries in Europe, in an area where topography offers no ...
Ilka Reinhardt +6 more
wiley +1 more source

