Matthew D. Hurteau

Quantifying the contribution of vegetation layer uncertainty to simulated forest fuels treatment placement

Background Western US forests face rising high-severity fire risk motivating increased investment in forest management. The high cost of treatments and vast areas needing work require efficient resource allocation. Forest landscape models can help scale up analysis and support ma...

Identifying Research Priorities for the Development of High-Integrity Forest Carbon Credits

Abstract In the United States, voluntary carbon markets have gained significant traction in recent years. However, many offset standards, protocols, and credit ratings have come under scrutiny from the public and investors for failing to produce real or sustainable carbon offsets...

DRY_NAM: A multifaceted annual drought feature dataset for the North American Monsoon region during 1960–2024 based on a daily soil water content model

The DRY_NAM dataset provides a comprehensive characterization of annual drought facets across the North American Monsoon (NAM) region from 1960 to 2024. The dataset is based on a new methodological analytical framework applied to daily soil water content time series. It includes...