N. Lecomte

The collective application of shorebird tracking data to conservation

The paper describes a collaborative effort to integrate shorebird tracking data for conservation, showing how shared data can support conservation actions.

RFIDeep: Unfolding the Potential of Deep Learning forRadio-Frequency Identification

RFIDeep uses deep learning to analyze RFID mark-recapture data and accurately determine breeding status, phenology, and success in seabirds.

Introducing Mouffet, a unified framework to make model creation easier and more reproducible

Mouffet is an open-source Python framework that simplifies and improves the reproducibility of model creation by managing data, training, and evaluation steps through configuration files and scenarios.

Free meals during breeding: increased resource access does not benefit Arctic-nesting shorebirds

The study tests if increased prey availability benefits Arctic shorebirds during breeding, finding no effect on body condition or nesting success.

Long-term population decline of a genetically homogenous continental-wide top Arctic predator

This study uses genetic analysis to show that Snowy Owls across North America form a genetically homogenous population with no differentiation, despite long-distance dispersal, and reveals a long-term population decline linked to climate change.

When host populations move north, but disease moves south: counter-intuitive impacts of climate warming on disease spread

The paper models how climate warming can cause disease to spread southward even as host species move northward, due to lagged thermal niche adaptation.

BRCA mutational status shapes the stromal microenvironment of pancreatic cancer linking CLU+ CAF expression with HSF1 signaling

This study shows BRCA mutations in pancreatic cancer alter CAF subtypes, specifically increasing CLU+ CAFs, and links this to HSF1 signaling.

New Records of California Serogroup Virus in Aedes Mosquitoes and First Detection in Simulioidae Flies from Northern Canada and Alaska

The paper detects California serogroup virus RNA in Aedes mosquitoes and Simulioidae flies in Northern Canada and Alaska, highlighting the potential of biting insects for tracking arbovirus emergence.

Pancreatic cancer prognosis is predicted by a novel ATAC-array technology for assessing chromatin accessibility

The paper develops ATAC-Array, a low-cost chromatin accessibility assay, and shows it predicts pancreatic cancer prognosis based on chromatin accessibility patterns.

Spatiotemporal changes in biodiversity by ecosystem engineers: how beavers structure the richness of large mammals

This study examines how beaver ecosystem engineering affects large mammal biodiversity across spatial scales, finding that engineered habitats increase species richness and diversity.

Derivation of predator functional responses using a mechanistic approach in a natural system

The paper develops a mechanistic model to derive predator functional responses in a natural system, finding that predator acquisition rates are not limited at high prey densities and that functional responses should be viewed as a continuum.

The interplay of wind and uplift facilitates over-water flight in facultative soaring birds

This study shows that migratory birds use wind and uplift conditions to optimize energy-efficient over-water flight routes.

Applications for deep learning in ecology

This paper reviews deep learning applications in ecology, highlighting its potential for ecological disciplines and providing guidance for ecologists to adopt these tools.