Species Distribution and Climate Change

Two decades of satellite images reveal the spatial and temporal dynamics of leafy spurge invasion and improve species distribution models

The paper uses satellite imagery and machine learning to track leafy spurge invasion over 21 years, showing a 570% expansion and improving species distribution models.

Leaving No Stone Unturned: Delineating the Distribution Range of the White Striped Viper-Gecko (Hemidactylus albofasciatus).

The paper uses ecological niche models to refine the distribution range of Hemidactylus albofasciatus, finding it is smaller than previously thought and suggesting an updated IUCN status.

Range and elevation predict responses to climate change in frogs and lizards in the Western Ghats biodiversity hotspot of peninsular India

The paper uses Species Distribution Models to predict how frog and lizard distributions in the Western Ghats will change under climate change, finding most species will lose suitable habitat.

Do identification guides hold the key to speciesmisclassification by citizen scientists?

This paper uses Bayesian models to correct species misclassifications in citizen science data by learning confusion patterns from expert-validated records and guidebook information.

SAMPLE: an R package to estimate sampling effort for species' occurrence rates.

The paper introduces an R package called SAMPLE to estimate sampling effort needed for accurate species occurrence rate estimation, using simulation and real coral data.

Species Distribution of Cannabis sativa: Past, Present and future

This study models past and future distribution shifts of Cannabis sativa under different climate scenarios, identifying key environmental variables and predicting significant habitat loss by 2050.

Drivers of temporal bias in biodiversity recording by citizen scientists

This study identifies factors driving biodiversity recording activity by citizen scientists, finding that weekends, mild weather, and spring months correlate with higher recording frequency.

Novel use of global occurrence data to indirectly predict suitable habitats for widely distributed marine species in data-scarce regions

This study uses ecological niche models with global occurrence data to predict suitable habitats for marine species in data-scarce regions, focusing on sharks in the Southwest Atlantic.

Marbled Murrelet Habitat Suitability in Redwood Timberlands of Northern Coastal California Utilizing LiDAR-Derived Individual Tree Metrics

The paper develops a habitat suitability model for marbled murrelets using LiDAR-derived tree metrics to identify suitable nesting patches and individual trees in redwood timberlands.

The interplay of climate change, urbanization, and species traits shapes European butterfly population trends

The paper analyzes long-term butterfly population trends in Europe, showing climate warming and urbanization interact with species traits to influence population declines and stability.

Spatio-temporal distribution patterns and ecological correlates of new mammal records in China

This study analyzes new mammal records in China from 2001 to 2023, identifying patterns in species distribution and factors influencing discovery rates.

Conserving steppe-land birds under climate change: a gap analysis for the Eurasian Stone-curlew (Burhinus oedicnemus) in the Western Palearctic

This study identifies climate refugia for the Eurasian Stone-curlew under climate change and finds most are outside protected areas, suggesting a need for targeted conservation actions.

Temporal occupancy distributions reveal multifaceted and heterogeneous effects of climatic variation on montane butterflies

This study uses a hierarchical Bayesian framework to analyze climate effects on butterfly phenology across elevational gradients, finding varied impacts of temperature and precipitation on flight period timing and duration.

Biological mechanisms are necessary to improve projections of species range shifts

The paper compares correlative and process-based species distribution models to assess their performance under climate change, finding process-based models more reliable.

Forecasting hotspots of grassland suitability under climate change for restoration

The paper identifies grassland habitat suitability hotspots under current and future climates using species distribution modeling and overlays them with connectivity and protection data to guide restoration efforts.

Species distribution modeling for conservation science: new predictor layers, reproducible code, and an evaluation of California protected areas

This study evaluates species distribution models using new predictor datasets and finds ClimateNA outperforms WorldClim for most species, with Random Forests and random background points providing best results.

Mammal niches are not conserved over continental scales

The paper shows that environmental niches of North American mammals vary spatially and are not conserved, challenging the niche conservatism hypothesis and suggesting local adaptations or unmodeled interactions.

Spatiotemporal dynamics of Hemerocallis citrina habitat suitability in China under climate change scenarios

This study predicts the future spatiotemporal distribution of Hemerocallis citrina under climate change scenarios using environmental modeling and GIS tools.

Incorporating climatic extremes using the GEV distribution improves SDM range edge performance

This paper improves species distribution model range edge predictions by integrating climatic extremes using the GEV distribution, showing better performance in capturing extreme events compared to existing methods.

A generative deep learning method for global species distribution prediction

This paper introduces EcoVAE, a generative deep learning model for predicting global species distributions, achieving high precision and outperforming traditional methods.

Confirming the Impact of Climate Change on Biodiversity: Results from a Global Survey

This study confirms the impact of climate change on biodiversity through a global survey of experts, finding significant correlations between climate change and biodiversity disruption.

Forecasting the Effects of Global Change on a Bee Biodiversity Hotspot

This study uses Joint Species Distribution Models to predict how global change affects bee biodiversity in the Mojave and Sonoran Deserts, showing varying impacts across protected and non-protected areas.

Integrating projected habitat change and existing population trends to prioritise conservation, monitoring, and research for Indian birds

This study integrates habitat projections and population trends to prioritize conservation, monitoring, and research for Indian birds under climate change.

Supporting early detection of biological invasions through short-term spatial forecasts of detectability

This paper predicts phenological stages of invasive species using environmental data and opportunistic observations to improve early detection.

Too hot for the weeds? Exploring the impact of climate change in herbaceous Convolvulaceae in Cerrado and Mata Atlantica biomes (SE Brazil)

This study assesses how nine Convolvulaceae weed species in Brazil's Cerrado and Mata Atlantica biomes will respond to climate change using predictive modeling, finding varied impacts with some species benefiting and others facing habitat loss.

The impacts of climate variability on the niche concept and distributions of species

This paper introduces XSDM, a new species distribution model that incorporates climate variability, showing it reduces species potential distributions by 22% on average and outperforms traditional models.

NicheFlow: Towards a foundation model for Species Distribution Modelling

NicheFlow is a foundation model for species distribution modeling that improves predictions for rare species using generative AI, showing strong performance in zero-shot tasks and capturing ecological patterns.

Non-detection during excursions by citizen scientists modeled as a function of weather, season, list length, and individual preferences

The paper models non-detection of species by citizen scientists using weather, season, list length, and individual preferences to improve estimates of detection probability.

A slippery slope: assessing the amphibian extinction crisis through the lens of climate refugia

This study assesses the impact of climate change on amphibian species by identifying climate refugia under different scenarios, finding that many species face reduced or lost refugia.

Shaping the Future: the importance of land use when projecting the future distribution of Endangered Amphibians and Reptiles.

This study shows that including land use variables in species distribution models significantly affects predicted future suitable areas for many amphibians and reptiles.