Otso Ovaskainen

The paper introduces causal effect transportability for ecological research, enabling the transfer of causal findings between domains using structural causal models and R software.

The paper introduces Hubbell regression to estimate biodiversity descriptors and finds actual evapotranspiration is the largest predictor of arthropod diversity, with human activity reducing insect richness in tropical and dry zones.

POAnoise improves amplicon sequencing denoising by using graph-based alignment and abundance-aware clustering, achieving higher F1-scores and more stable performance than existing methods.

This study compares metabarcoding and individual barcoding of insect samples, finding they yield similar community structure but metabarcoding adds more species due to DNA residues.

This study compares taxonomic classification methods for DNA barcoding, finding that phylogenetic placement methods excel for arthropod COI barcodes while composition-based classifiers perform better for fungal ITS.

The paper estimates insect density in boreal forests using a mark-recapture experiment with Malaise traps, finding 4 million individuals per hectare.

The paper introduces the R-package Jsmm for analysing mark-recapture data using Bayesian joint species movement modelling to estimate movement behaviours and population parameters.

This paper reviews experimental community ecology research, highlights gaps in taxa and scale, and proposes integrating high-throughput technologies to improve experimental scope and efficiency.

This study analyzes changes in demersal fish distribution in the Kerguelen Plateau from 2003 to 2016, finding increased species richness and responses to climate change and fisheries management.

The paper introduces CORAL, a transfer learning method that improves prediction and inference for rare species using DNA metabarcoding data from Madagascar.

The paper investigates how species traits and landscape structure influence the spatial spread of ecological effects in plant-frugivore networks across New Zealand.

This study uses a novel multi-target amplicon sequencing approach to analyze microbiota in wild scuttle flies, revealing significant variation in bacterial abundance and composition across host species and genotypes.

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

The paper presents a framework for jointly modeling environmental and species responses to restoration, showing it improves prediction accuracy for vegetation response to water table changes in boreal peatlands.

This study evaluates ecosystem restoration effectiveness using a long-term experiment across six boreal peatland types, showing restoration halts degradation but success varies by ecosystem type.

The paper uses DNA barcoding to study scuttle flies in Sweden, revealing high diversity and showing that climate factors strongly influence their distribution.

This paper introduces a GPU-accelerated version of the Hmsc-R JSDM framework, achieving over 1000x speed-up for large datasets and improving scalability for biodiversity modeling.

The paper analyzes microbial communities in Greenland mosquitoes, finding low abundance and no core microbiota, with high diversity and sex-specific associations.

The paper introduces HMSC-R 3.0, an R implementation of the HMSC framework for joint species distribution modelling, demonstrating its application to simulated and real ecological data.