Results 121 to 130 of about 9,899 (194)

This is fine: Mule deer and elk do not substantially change their behavior in response to active wildfires

The Journal of Wildlife Management, Volume 90, Issue 6, August 2026.
During an outbreak of 7 wildfires in eastern Oregon, USA, we analyzed the home range and movement patterns of mule deer and elk before, during, and immediately after wildfires. Mule deer maintained high site fidelity during the wildfire but used their home range more uniformly and had higher daily displacement than deer unaffected by wildfire.
Jacob W. Dittel, Darren A. Clark
wiley   +1 more source

Prey-soaking behavior in Iberian lynx. [PDF]

Ecology
Jiménez J, Finat R, Fernández-Tizón M, Peiró P, Hernández-Hernández J, Margalida A, Virgós E.   +6 more
europepmc   +1 more source

Cougar density on the Oregon Coast: Using dead recovery modeling in an open population

The Journal of Wildlife Management, Volume 90, Issue 6, August 2026.
The primary objective of this study was to determine cougar density in western Oregon. Our results demonstrate that integrating DNA collected via bio‐darting, mandatory hunter‐harvest check‐ins, and GPS collar data into the OPCR2 is a reliable method for estimating cougar densities in densely forested coastal systems.
Jason A. Kirchner, Joel S. Ruprecht, Jennifer R. Adams, Lisette P. Waits, Gregory C. Reed   +4 more
wiley   +1 more source

First record of <i>Taenia krabbei</i> Moniez, 1879, muscle cysts in roe deer (<i>Capreolus capreolus</i>) in Carinthia, Austria. [PDF]

Int J Parasitol Parasites Wildl
Pikalo J, Mansfeld MD, Geier W, Stimac I, Brunthaler R, Harl J, Vogl G, Fuehrer HP.   +7 more
europepmc   +1 more source

Habitat fragmentation and amount drive within‐species variation in dispersal kernels and limit transferability across landscapes

Oikos, Volume 2026, Issue 8, August 2026.
Dispersal is a key ecological trait that ensures connectivity, gene flow, and range dynamics, yet empirical information about how dispersal distances vary within species remains scarce. Many studies, investigating for instance connectivity conservation, use typical species‐specific dispersal kernels without accounting for the fact that these kernels ...
Jette Wolff, Guillermo Fandos, Cécile H. Albert, Greta Bocedi, Justin M. J. Travis, Damaris Zurell   +5 more
wiley   +1 more source

CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx. [PDF]

Sci Data
Picek L, Straka J, Jirik M, Belotti E, Duľa M, Krausová J, Bojda M, Cermak V, Bufka L, Dvořák R, Hrdý L, Kocourek V, Labuda J, Toman L, Trulík V, Váňa M, Kutal M.   +16 more
europepmc   +1 more source

Understanding mammal avoidance of human settlements

Journal of Animal Ecology, Volume 95, Issue 8, Page 1504-1517, August 2026.
Terrestrial mammals often avoid human settlements, but is this a result of human activity around buildings or the built infrastructure per se? Using data on animal movement before and during the COVID‐19 lockdowns, this paper disentangles these effects, showing how changes in human mobility affect animals' avoidance of buildings. Abstract Anthropogenic
Jonathan R. Potts, Luca Börger, Marlee A. Tucker, Federico Ossi, Scott W. Yanco, Diego Ellis‐Soto, Thomas Müller, Ruth Y. Oliver, Mario H. Alves, Walter Arnold, Nina Attias, Guillaume Bastille‐Rousseau, Jerrold L. Belant, J. David Blount, Dean E. Beyer, Francesca Cagnacci, Simon Chamaillé‐Jammes, Aung N. Chan, Eric K. Cole, Jessica S. Cornils, Rogerio Cunha de Paula, Vickie DeNicola, Arnaud L. J. Desbiez, Sarah R. Dewey, David Drake, Michael Egan, Jasper A. J. Eikelboom, Morgan Farmer, Mathieu Garel, Jacob R. Goheen, Hans Peter Hansen, Lars Haugaard, Mark Hebblewhite, Morten Heim, Miloš Ježek, Lilla Jordán, Douglas N. Kamaru, Miha Krofel, Tayler N. LaSharr, Peter Leimgruber, Anne Loison, Ryan A. Long, Matthias‐Claudio Loretto, Pascal Marchand, Erling Meisingset, Joerg Melzheimer, Kevin L. Monteith, John J. Morgan, Rasmus M. Mortensen, Rebekka Mueller, Atle Mysterud, Astrid Olejarz, Teresa Oliveira, Manuela Panzacchi, Ruben Portas, Hubert Potočnik, Herbert H. T. Prins, Laura R. Prugh, Nathan Ranc, Ralf Roeder, Christer M. Rolandsen, Çağan Şekercioğlu, Aldin Selimovic, Rachel Smiley, Erling Johan Solberg, Olav Strand, Peter Sunde, Carole Toïgo, Bram Van Moorter, Tana L. Verzuh, Bettina Wachter, Brittany L. Wagler, Jesse Whittington, Christopher C. Wilmers, George Wittemyer, Christian Rutz   +75 more
wiley   +1 more source

Selecting synthetic data for successful simulation-based transfer learning in dynamical biological systems. [PDF]

BMC Bioinformatics
Witzke S, Zabbarov J, Kleissl M, Iversen P, Renard BY, Baum K.   +5 more
europepmc   +1 more source

Ecological examples of nonstationarity, nonlinearity and statistical interactions in dynamic structural equation models

Methods in Ecology and Evolution, Volume 17, Issue 8, Page 2510-2523, August 2026.
Abstract Ecologists are adapting structural causal modelling for spatial, phylogenetic and time‐series analysis. However, ecological extensions of path analysis and structural equation models (SEM) typically assume that interactions among variables are stationary, linear and additive, while ecological and evolutionary dynamics are often nonstationary ...
James T. Thorson, Kasper Kristensen
wiley   +1 more source

Unraveling Mammalian Biodiversity in a Non-Protected Area in Tibet: Community Diversity, Species Interactions and Conservation Imperatives. [PDF]

Biology (Basel)
Guo K, Tang Z, Su M, Zhang T, Shu F, Li Q, Chen H, Wang C, Zhang M, Yu Y, Chen Y, Zaman M, Xiang Z.   +12 more
europepmc   +1 more source