Species Distribution and Climate Change

An R-Based Adaptive Quadtree Spatial Tiling Workflow for Boundary-Exact GBIF Species Occurrence Mining within User-Defined KML Polygons

This paper develops an R-based adaptive quadtree spatial tiling workflow to accurately query GBIF species occurrences within arbitrary KML polygons, validated on two distinct sites.

Large scale application of species distribution models to predict future vulnerability to social wasp invasions

The paper uses species distribution models to predict future vulnerability to social wasp invasions by analyzing climate change scenarios and identifying high-risk regions.

PREDICTING HISTORIC, CONTEMPORARY, AND FUTURE DISTRIBUTIONS OF CULEX CORONATOR FOLLOWING RAPID RANGE EXPANSION

This study predicts historic, contemporary, and future distributions of Culex coronator using species distribution models, finding increasing suitability at higher latitudes and elevations under future climate scenarios.

Thermal conditions and habitat size explain elevational range shift of the northern pika

The study examines elevational range shifts of the northern pika in Hokkaido, Japan, finding that habitat size and temperature, rather than land use, significantly influence the shifts.

The rENM Framework: A Modular System for Reconstructing andAnalyzing Long-Term Ecological Niche Dynamics

The paper introduces the rENM Framework, an open-source R tool for analyzing long-term ecological niche dynamics using historical data, and demonstrates its application to Cassin's Sparrow.

CLIMATIC NICHE DIFFERENTIATION ACCOMPANIED THE RADIATION OF LEAF-EARED MICE IN THE PHYLLOTIS DARWINI SPECIES GROUP (SIGMODONTINAE, CRICETIDAE)

The paper examines climatic niche differentiation in the Phyllotis darwini species group, finding low niche overlap and no significant phylogenetic signal in niche differences.

Nonlinear responses to temperature and precipitation shape the distribution of Aedes sierrensis in North America

This study develops species distribution models for Aedes sierrensis, finding that temperature and precipitation nonlinearly shape its range, with optimal conditions in specific temperature ranges and seasonal rainfall patterns.

Species climate-niche properties suggest that both physiological tolerance and stress dominance shape plant community assembly across a tropical dry ecosystem

The paper examines how climate influences plant community assembly in a tropical dry ecosystem by analyzing species-climate associations across four life-forms.

iNaturalist mammal observations classified by evidence type

The paper classifies evidence types of iNaturalist mammal observations using machine learning, creating a dataset with 1.33 million annotated observations.

Patchy distribution of a Madrean Sky Island squirrel shaped by historical habitat configuration

The paper examines how historical habitat configuration influences the current distribution of Arizona gray squirrels in the Madrean Archipelago using climate models and habitat metrics.

ClimLimits: a global database of multivariate realized climate limits for animal species

ClimLimits provides a global database of multivariate climate limits for animal species based on historical climate data, enabling assessments of climate exposure risk.

Where species distribution models fail under occurrence-data contamination: calibration error concentrates at stream-network headwaters

This paper shows that species distribution models fail in headwater areas when data are contaminated, leading to overprediction of suitability and undercoverage in these regions.

When suitable habitat is not enough: climate change, habitat loss, and dispersal limitation increase the vulnerability of bald-headed uakaris (Cacajao sp.) in the Amazon Rainforest

This study assesses how climate change, habitat loss, and dispersal limitations affect the future habitat suitability of bald-headed uakaris in the Amazon Rainforest.

Adaptational lag at high elevations depends on life stage in a California wildflower.

This study examines adaptational lag in high elevation populations of a wildflower, finding that survival and reproduction vary with life stage and climatic distance from the site of origin.

Reciprocal Environmental Decision Support (REDS): better tailored advice in return for data

The paper introduces a reciprocal environmental decision support system that improves predictive models through user data and provides tailored advice, demonstrating that untrained observers can refine models with their contributions.

Extinction risk in terrestrial vertebrates is associated with niche limits that reflect climatic vulnerability

The paper links extinction risk in terrestrial vertebrates to climatic niche limits, showing that species with colder thermal tolerances are more threatened and that future extinctions will disproportionately impact climatically vulnerable lineages.

NicheDiv: A DAPC framework to quantify niche divergence across highly multivariate environmental space

NicheDiv quantifies niche divergence using DAPC across environmental variables, showing improved performance over existing methods in high-dimensional data.

Biodiversity data portals as methodological filters for iNaturalist: how platform choice can shape biodiversity assessments

This paper examines how different data portals affect the availability and analysis of iNaturalist biodiversity data, showing platform-specific biases and restrictions.

Environmental "Knees" and "Wiggles" as Strong Stabilizers of Species' Range Limits Set by Interspecific Competition

The paper shows that environmental nonlinearities like 'knees' and 'wiggles' stabilize range limits between competing species, making them less sensitive to climate change.

Mapping distribution of invasive plant species and uncertainty using citizen science, remote sensing, and deep learning

This study uses deep learning to predict invasive plant species distributions in Michigan, showing improved accuracy over traditional models and highlighting climate scenario uncertainty.

Disparate introduction histories but similar climatic distribution patterns among congeneric invasive anurans

This study compares the invasion histories and climatic niche patterns of five congeneric invasive frogs, finding similar trends in expanding into colder climates despite different introduction histories.

Climate change drives contrasting redistribution patterns in endemic and endangered Himalayan Gentiana

This study predicts contrasting habitat changes for two Himalayan plant species under climate change scenarios, showing that narrow-niche species face greater habitat loss than broader-tolerant ones.

Is Britain still Great for Pine Marten? A Habitat Suitability Assessment

This study uses species distribution modeling to assess habitat suitability for pine marten in Great Britain and identifies potential reintroduction sites.

Climbing invasions or climatic refugees: how many and to which extent non-native plant species could reach the top of the Pyrenees mountains under climate change?

This study projects how many non-native plant species in the Pyrenees will shift upslope under climate change and how many will decline, finding 57% will not benefit from warming.

The evolution of Hutchinsonian climatic niche hypervolumes in gymnosperms

This study examines the evolution of climatic niche hypervolumes in gymnosperms, finding independent evolution of geometric and topological properties.

Harnessing foresters' engagement for climate change adaptation: the emerging tool of next-generation citizen science

This paper explores next-generation citizen science, demonstrating how foresters can engage in large-scale ecological experiments to improve climate adaptation strategies.

Correcting overprediction reduces the propagation of uncertainty from species distribution models into spatial conservation prioritization

This study shows that correcting overprediction in species distribution models reduces uncertainty in spatial conservation prioritization across different datasets and taxa.

Explainable AI reveals the quantitative hierarchical architecture of global bird extinction risk

This study uses explainable AI to identify quantitative thresholds for bird extinction risk, revealing hierarchical patterns shaped by range size, morphology, and human impacts.

Multi-scale neural networks enhance species distribution modelling across predictors and taxonomic groups

This study evaluates multi-scale deep learning models for species distribution, showing improved performance and reduced sensitivity to scale selection across plant and animal species.

Artificial intelligence and species distribution ensemble models inform resource interactions with offshore wind development

The paper uses AI species distribution models to assess impacts of offshore wind development on marine species, showing high accuracy in predicting species occurrence.