Species Distribution and Climate Change

This paper introduces a framework to predict ecological event timing using citizen science data, showing accurate predictions for Japanese beetles and winter chanterelles across regions.

The paper evaluates urban tolerance of native species in Los Angeles using crowd-sourced data to identify patterns and inform biodiversity management.

The paper uses deep learning to model plant species distributions and community composition from citizen-science data, showing improved accuracy over traditional methods.

The paper reassesses range limits of Alaska's land mammals by comparing occurrence records with existing range maps, identifying extralimital records and updating baseline range maps.

This paper investigates discrepancies between two studies on phenological mismatch using different datasets and finds that data extent and model design differences, rather than species or phenophase selection, explain the contradictory results.

The paper uses ecological niche modeling to assess competition between native and naturalized ferns in Hawaiian dryland habitats, finding significant overlap and conservation risks.

This study assesses how including migrant species in conservation policies can reduce extinction risk and alter global conservation priorities.

The paper develops phenology-informed species distribution models that predict lower species loss and turnover under climate change compared to standard models.

The paper evaluates Biome app data quality and shows combining it with traditional surveys improves species distribution model accuracy for conservation.

The paper reassesses climate change risks for terrestrial ecosystems by transforming climate data into phytoclimates, finding significant changes and novel climates by 2070.

The paper analyzes 50 years of butterfly population trends in response to rising minimum temperatures in North America, finding cold-adapted species are declining more than warm-adapted ones.

The paper reports the discovery of Andean mice at extreme elevations, surpassing previously assumed range limits, using field surveys and genomic data.

This study uses MERRA-2 data and field observations to analyze historical changes in climatic suitability for Cassin's Sparrow, revealing complex patterns that vary by time series and environmental drivers.

This study examines climatic niche differentiation between native and non-native ranges in Ponto-Caspian amphipods, finding widespread niche shifts and contractions in invasive populations.

This study uses species distribution modeling to analyze the factors behind the island endemicity of three Philippine Rafflesia species and their hosts, finding that limited dispersal and specific environmental needs, not host requirements, are likely responsible.

This study models the impact of climate change on gelada habitat distribution, finding a significant reduction in suitable habitat by 2070 and suggesting anthropogenic pressures contribute to niche truncation.

This study projects that climate change will cause significant mammal defaunation in the Caatinga drylands, with 85% of species losing suitable habitats by 2060.

This study develops genomic offset metrics to account for local adaptation in climate suitability forecasts and improves assisted migration strategies for red spruce.

TreeGOER provides environmental ranges for 48,129 tree species using BIOCLIM, enabling climate change and biogeographical research with global distribution data.

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

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

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.