activity
20212026
most citedWildland Fire Mid-story: A generative modeling approach for representative fuels

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2026

ForestIR: Physics-Informed Forest Sound Simulation for Array-Based Bioacoustic Remote Sensing

Xin Shen, Jennifer N. Kampe, Changwoo J. Lee +7

Microphone array-based passive acoustic monitoring is increasingly used for biodiversity sensing in forests. However, design and evaluation of array systems and configurations rema…

stat.AP2025

Model-based indicators for co-clustered environments and species communities

Braden Scherting, Otso Ovaskainen, Tomas Roslin +1

Accurate biodiversity monitoring is essential for effective environmental policy, yet current practices often rely on arbitrarily defined ecosystems, communities, and ad-hoc indica…

stat.AP2024★ 1 cited

Joint species distribution modeling of abundance data through latent variable barcodes

Braden Scherting, Otso Ovaskainen, David B. Dunson

Accelerating global biodiversity loss has highlighted the role of complex relationships and shared patterns among species in determining their responses to environmental changes. T…

stat.AP2023★ 2 cited

Wildland Fire Mid-story: A generative modeling approach for representative fuels

Grant Hutchings, James Gattiker, Braden Scherting

Computational models for understanding and predicting fire in wildland and managed lands are increasing in impact. Data characterizing the fuels and environment is needed to contin…

stat.AP2021

Pool samples to efficiently estimate pathogen prevalence dynamics

Braden Scherting, Alison Peel, Raina Plowright +1

Estimating the prevalence of a disease is necessary for evaluating and mitigating risks of its transmission within or between populations. Estimates that consider how prevalence ch…