Species Distribution and Climate Change

Research examines whether on-device AI can support conservation field staff, revealing infrastructure mismatches between model requirements and resource-constrained organizational realities.

Virtual reality study demonstrates how immersive wetland exploration significantly improves empathy and ecological literacy for neglected reptile and amphibian species in urban environments.

Study of nine alpine plant species finds that reduced leaf damage at warm range edges does not explain why some plants shift downhill during climate change.

Urban and rural butterfly populations respond differently to climate warming and aridification, with urbanisation amplifying negative climate impacts through reduced habitat connectivity.

Foundation models outperform conventional satellite methods for tree species classification in mountain forests, achieving high accuracy with minimal training data but requiring nonlinear classifiers.

Local human disturbances suppress coral reef climate refugia globally, but targeted intervention could restore protection against marine heatwaves.

Historical species composition data reveal how a coastal food web changed structurally over 125 years while maintaining stable trophic organization and energy transfer efficiency.

Machine-learning framework using global datasets creates hierarchical eco-zone maps for data-scarce Afrotropical regions, demonstrating open-source approaches for ecological stratification and.

Wild plant populations evolve rapidly during drought, and genetic variation at adaptive loci predicts demographic recovery. Study demonstrates evolutionary rescue in natural conditions.

Archival database documents the broader historical range of New Zealand's rarest endemic bird, tara iti, revealing substantial range contraction since European settlement.

Browser-based streaming interface for satellite embeddings demonstrates client-side geospatial analysis, raising programming paradigm questions for Earth observation workflows.

Climate change threatens mammal and bird distributions in the Altai Mountains. MaxEnt modeling reveals habitat loss and range shifts toward higher elevations, with human activities and snow cover.

Climate change modeling reveals divergent habitat shifts for four Chinese Taxus species, with implications for pharmaceutical sourcing and conservation strategies across multiple future scenarios.

Fire and habitat loss interact to reshape bird community diets in Atlantic Forest. Study reveals trait convergence under high disturbance and low forest cover, requiring integrated management.

Study reveals global bee species richness estimates of 24,705-26,164 species, with 18-25% undescribed diversity concentrated in Asia, Africa, and the Americas, highlighting geographic taxonomic gaps.

Forum-derived research agenda for transforming global biodiversity monitoring infrastructure through standardized metrics and cross-institutional data integration

Nine strategic recommendations for transforming biodiversity measurement infrastructure, integrating new technologies with standardized protocols, Indigenous knowledge, and institutional.

Forest degradation alters vertebrate scavenger assemblages in neotropical dry forests, replacing specialized species with generalists like the Sechuran fox, reducing biodiversity while maintaining.

Unified framework standardizing biodiversity monitoring data collection and policy reporting under the Global Biodiversity Framework, integrating field observations with actionable indicators.

Species distribution and hydrological modelling framework for climate-adapted conservation planning of floodplain biodiversity across catchment and reach scales.