Ecuador has the largest number of species by area worldwide, but also a low representation of species within its protected areas. Here, we applied systematic conservation planning to identify potential areas for conservation in continental Ecuador, with the aim of increasing the representation of terrestrial species diversity in the protected area network. We selected 809 terrestrial species (a...

Predicting species range shifts in response to climatic change is a central aspect of global change studies. An ever growing number of species have been modeled using a variety of species distribution models (SDMs). However, quantitative studies of the characteristics of range shifts are rare, predictions of range changes are hard to interpret, analyze and summarize, and comparisons between the...

1) Species distribution models (SDMs) are currently the main tools to derive species niche estimates and spatially explicit predictions for geographical distribution. However, unobserved environmental conditions ecological processes may confound model if they have direct impact on and, at same time, correlated with observed covariates. This, so-called spatial confounding, is a general property ...

Species distribution models (SDMs) are frequently used to predict the effects of climate change on species conservation concern. Biases inherent in process constructing SDMs and transferring them new scenarios may result undesirable outcomes. We explore these issues demonstrate methods estimate biases induced by design SDM studies. present context estimating Australia's only endemic Pokémon. Us...

BACKGROUND Rare or narrowly endemic organisms are difficult to monitor and conserve when their total distribution and habitat preferences are incompletely known. One method employed in determining distributions of these organisms is species distribution modeling (SDM). METHODS Using two species of narrowly endemic burrowing crayfish species as our study organisms, we sought to ground validate...

Many marine species are shifting their distributions in response to changing ocean conditions, posing significant challenges and risks for fisheries management. Species distribution models (SDMs) used project future the face of a climate. Information fit SDMs generally comes from two main sources: fishery-independent (scientific surveys) fishery-dependent (commercial catch) data. A concern with...

Species distribution models (SDMs) are often used to predict the impact of climate change on future species. However, application species-level SDMs ignores intraspecific variation and can be problematic. The aim study was incorporate information into compare predictions subspecies- in a widespread African tree species, Sclerocarya birrea (marula). We bioclimatic variables terrain roughness ind...

This paper focuses on a core task in computational sustainability and statistical ecology: species distribution modeling (SDM). In SDM, the occurrence pattern of landscape is predicted by environmental features based observations at set locations. At first, SDM may appear to be binary classification problem, one might inclined employ classic tools (e.g., logistic regression, support vector mach...

The relationships between environmental factors and fish density are closely related, species distribution models (SDMs) have been widely used in exploring these predicting the spatial of fishery resources. When prediction different seasons, method choosing appropriate approach to season will help improve predictive performance model. Based on data collected from 2015 2020 during a survey off s...

Abstract Lotic freshwater macroinvertebrate species distribution models (SDMs) have been shown to improve when hydrological variables are included. However, most studies date only include data describing climate or stream flow-related surrogates. We assessed the relative influence of climatic and predictor on modelled macroinvertebrates, expecting model performance calibrated five SDMs using co...