Species Distribution and Climate Change

Keeping common species common: the role of future climate refugee in species conservation

This study identifies future climatic refugia for the common amphibian Hyla sarda under climate change, showing that its range will shrink and refugia will be largely unprotected.

Mapping the Global Distribution of Mus musculus: Implications for Evolutionary Genetics

This study updates the geographic range of house mice using biodiversity data and genetic analysis, revealing their environmental limits and ancestral origins in South Asia.

Beyond a diagnostic tool: Validating standardized Mahalanobis distance as a species distribution model for invasive alien species in North America

This paper validates the Mahalanobis distance as a species distribution model for invasive plant pests in North America, achieving >85% accuracy in predicting climate suitability.

SPECTRE: standardized global spatial data on terrestrial SPECies ThREats

SPECTRE provides standardized global spatial data on environmental and anthropogenic threats to terrestrial species and ecosystems, enabling analysis at 30 arc-seconds resolution with tools for data access and manipulation.

Geographic Name Resolution Service: A tool for the standardization and indexing of world political division names, with applications to species distribution modeling

The paper introduces GNRS, a tool that standardizes and indexes political division names to improve georeferencing accuracy in species distribution modeling.

Automatic variable selection in ecological niche modeling: A case study using Cassins Sparrow (Peucaea cassinii)

The paper introduces MERRA/Max, a method for variable selection in ecological niche modeling, demonstrating its effectiveness with Cassins Sparrow data.

Effects of climatic change on the potential distribution of Lycoriella species (Diptera: Sciaridae) of economic importance

The paper uses ecological niche models to assess how climate change may affect the distribution of economically important Lycoriella species, finding potential range expansions in key countries.

Modeling Abiotic Niches of Crops and Wild Ancestors Using Deep Learning: A Generalized Approach

The paper develops a deep learning approach for species distribution modeling and applies it to crops and their wild ancestors, showing improved projections for species with many occurrence records.

Assessment and representation of variability in ecological niche model predictions

The paper assesses variability in ecological niche model predictions and provides tools to quantify and represent this variability in geographic space.