Results 201 to 210 of about 2,604,808 (287)
We decode mitochondrial genomes across all extant canids, revealing lineage‐specific codon optimization driven by altitude, predation, and body size. A tripartite framework integrates geological events, metabolic constraints, and adaptive radiation to explain carnivore evolution.
Xiaoyang Wu +8 more
wiley +1 more source
Predicting Colloidal Interaction Parameters from Small-Angle X-ray Scattering Curves Using Artificial Neural Networks and Markov Chain Monte Carlo Sampling. [PDF]
Wong K +5 more
europepmc +1 more source
Stratification as a general variance reduction method for Markov chain Monte Carlo. [PDF]
Dinner AR +3 more
europepmc +1 more source
We demonstrate that red male Podarcis muralis exhibit higher evaporative water loss compared to other morphs, indicating a physiological strategy that prioritizes hydroregulation over fine thermoregulation. This suggests red morphs are adapted to cooler, wetter niches, while white and yellow morphs possess superior water conservation mechanisms to ...
Roberto Sacchi +10 more
wiley +1 more source
Spatial Patterns of Avian Stable Isotopes Reveal Ecological Impacts of Climate and Land‐Use Change
Increased feather δ15N values with pasture coverage reveal an elevated baseline δ15N in grazing landscapes, while broader isotopic niches in farmland habitats reflect agricultural expansion's significant influence on resource use patterns of the avian community.
Yaohong Jia +5 more
wiley +1 more source
Abstract Human infrastructures are among the most impactful wildlife threats. Although estimates of animal mortality by these structures exist over a given period, they typically do not account for several levels of imperfect detection (i.e. difference between recorded and true mortality).
Guillermo Gomez‐Peña +6 more
wiley +1 more source
Dynamic Shrinkage Priors for Large Time-Varying Parameter Regressions Using Scalable Markov Chain Monte Carlo Methods. [PDF]
Hauzenberger N, Huber F, Koop G.
europepmc +1 more source
Spatially realistic dynamic N‐mixture models
Abstract Dispersal is a complex ecological process that can be driven by the abiotic environment, density‐dependent processes and species mobility. Traditionally, dispersal has been studied with capture‐based data that are often limited in space and time. More recently, spatial dynamic N‐mixture models (i.e.
Qing Zhao +5 more
wiley +1 more source
Embracing uncertainty in time: A Bayesian dynamic mixing model for isotopic diet estimation
Abstract Isotopic mixing models are powerful tools in ecology for estimating diets. Since their initial formulation, these models have evolved into two distinct branches: Bayesian mixing models and dynamic mixing models. Bayesian mixing models significantly improve uncertainty management but remain static assuming a stable state.
Emilie Cathelin +3 more
wiley +1 more source

