Orchid bees compose an exclusive Neotropical pollinators group, with bright body coloration. Several of those species build their own nests, while others are reported as nest cleptoparasites. Here, the objective was to evaluate whether the inclusion of a strong biotic interaction, such as the presence of a host species, improved the ability of species distribution models (SDMs) to predict the g...

Species distribution models (SDMs) have become an essential tool in ecology, biogeography, evolution and, more recently, in conservation biology. How to generalize species distributions in large undersampled areas, especially with few samples, is a fundamental issue of SDMs. In order to explore this issue, we used the best available presence records for the Hooded Crane (Grus monacha, n = 33), ...

Biological phenomena arise through interactions between an organism's intrinsic dynamics and stochastic forces-random fluctuations due to external inputs, thermal energy, or other exogenous influences. Dynamic processes in the brain derive from neurophysiology and anatomical connectivity; stochastic effects arise through sensory fluctuations, brainstem discharges, and random microscopic states ...

Changes in distribution and abundance of species affect the entirety biodiversity monitoring these changes is critical for efficient conservation integrity functions population. However, acquiring accurate information on over large spatial scales poses a challenge since such data patchy incomplete, if not unavailable, many areas. This study aims at examining applicability novel approach based S...

Species distribution models (SDMs) are increasingly used in ecology, biogeography, and wildlife management to learn about the species–habitat relationships abundance across space time. Distance sampling (DS) capture-recapture (CR) two widely collected data types abundance; still, they seldomly SDMs due lack of spatial coverage. However, fusion sources can increase coverage, which reduce paramet...

Species distribution models, or SDMs, have become important decision support tools by answering fundamental questions about where species, including invasive are likely to survive and thrive based on environmental conditions. For an inexperienced modeller model reviewer, the terminology technical aspects of SDMs can be overwhelming, even well-trained modellers struggle understand implications v...

Species distribution models (SDMs) have become a common tool in studies of species–environment relationships but can be negatively affected by positional uncertainty underlying species occurrence data. Previous work has documented the effect on model predictive performance, its consequences for inference about remain largely unknown. Here we use over 12 000 combinations virtual and real environ...

Species introduction represents one of the most serious threats for biodiversity. The realized climatic niche of an invasive species can be used to predict its potential distribution in new areas, providing a basis for screening procedures in the compilation of black and white lists to prevent new introductions. We tested this assertion by modeling the realized climatic niche of the Eastern gre...

Spatial records of species are commonly misidentified, which can change the predicted distribution of a species obtained from a species distribution model (SDM). Experiments were undertaken to predict the distribution of real and simulated species using MaxEnt and presence-only data “contaminated” with varying rates of misidentification error. Additionally, the difference between the niche of t...

Spatial records of species are commonly misidentified, which can change the predicted distribution of a species obtained from a species distribution model (SDM). Experiments were undertaken to predict the distribution of real and simulated species using MaxEnt and presence-only data “contaminated” with varying rates of misidentification error. Additionally, the difference between the niche of t...