ecology & biodiversity

The paper develops an AI-based image analysis tool to estimate insect biodiversity using visual features, showing it correlates with expert taxonomic diversity and reveals patterns in abundance and habitat variation.

The paper examines how tree species diversity and identity affect remotely sensed canopy variables in two forest biodiversity experiments, finding mixed effects on productivity and spectral traits.

The paper tests how tree cavities affect bird activity and species richness, finding cavities increase visits and species diversity.

This study identifies contrast sensitivity as a key perceptual constraint affecting collision risk for Bearded Vultures with human-made aerial structures.

This study shows that diet affects tooth damage and microwear in Senegal bichir, providing a framework for inferring diet in extinct fish species.

This study identifies crown structure and growth characteristics as key predictors of maple syrup yield, explaining up to 47% of inter-individual variability in syrup production.

This study uses acoustic telemetry to analyze movement patterns and habitat use of invasive blue crabs in a Mediterranean lagoon, revealing sex-specific behaviors and informing management strategies.

This paper uses large language models to extract species interaction data from citizen science comments, expanding ecological data coverage and enabling new ecological research.

LOCOPOTS identifies stress-resilient potato genotypes using low-cost imaging and machine learning, revealing metabolic biomarkers for abiotic stress responses.

The paper assesses how environmental and demographic factors influence feeding behavior of endangered long-tailed gorals at winter supplementary feeding stations.

This study examines climate-phenology relationships in Italian forest species using remote sensing and machine learning, finding growing season lengthening and species-specific responses to climate factors.

This study evaluates LiDAR's ability to estimate canopy traits in corn and soybean, finding comparable LAI quality in corn but poor performance in soybean due to dense canopies, and accurate stand count in corn with faster data collection.

This study assesses the impact of the 2021 Pacific Northwest heatdome on forest canopy health using Planet imagery, finding that dense forests experienced greater stress and slower recovery than thinned stands.

BATSY4-PRO is an open-source multichannel ultrasound recorder for field bat bioacoustics, enabling high-quality recordings and localisation with a compact, affordable design.

This study investigates waterbird associations with rice field harvesting and ploughing events, finding increased food availability drives these associations, but not improved foraging success or reduced vigilance.

This study tests how plant diversity affects grassland responses to heatwaves, finding that mixtures are more productive than monocultures but diversity has no effect on leaf parameters.

The paper examines egg pore morphology and traits in Pieris butterflies, finding variation linked to climate and suggesting dynamic adaptation.

This study examines how structural features of termite mounds affect airflow, diffusion, and heat transfer across multiple scales.

The paper uses convolutional neural networks with satellite imagery to quantify coastal forest loss and identify environmental drivers of ghost forest formation from 1985 to 2021.

The paper uses imaging flow cytometry to study seasonal changes in protist communities in the Gulf of Aqaba, revealing shifts in cell density, size, and species composition across seasons.

The paper develops body condition indices for common dolphins to monitor long-term ecosystem changes, finding male body condition declined after 2010 linked to climate and prey changes.

The paper reanalyzes aerial survey data to produce spatially explicit estimates of ice-associated seal abundance in the western Bering Sea and Sea of Okhotsk, accounting for detection and classification errors.

The paper evaluates airborne imaging spectroscopy for tree species classification using a biodiversity experiment, finding high accuracy for few species but lower accuracy for many species.

This study examines the variability in the phytoplankton diversity-carbon biomass relationship across different measurement methods and scales using in situ data.

This study examines how light availability varies with reef surface complexity, finding that increased rugosity reduces light availability at local scales.

This study examines epifaunal communities inside and outside water replenishment holes in offshore monopiles, finding distinct environmental conditions and community compositions resembling marine cave environments.

This study reviews passive acoustic monitoring for invasive species detection and tests its feasibility for American bullfrogs in Germany, finding it effective with automated tools and manual validation.

This paper introduces entropy-based metrics to quantify leaf edge and macro-shape complexity, showing improved performance in predicting chemical traits and aligning with human perception.

This study finds that plumage color similarity drives the formation of mixed-species bird flocks globally, with birds in flocks being more color-similar than expected by chance.