Treesearch

Background. Fuel treatments are increasingly used to mitigate wildfire risks. Aims. Proposing a novel, scalable and transferable methodology, this study investigates which treatment is (more) effective at a regional scale. Methods. This research evaluates the effectiveness of fuel treatments in California forests using the Fuel Treatment Effectiveness Monitoring (FTEM) database, which provides a binary (yes/no) assessment of treatment efficacy based on a structured subjective evaluation process. Proposed methodology enables scaling up site-specific treatment outcomes to the regional level....

The SSN2 R package provides tools for spatial statistical modeling, parameter estimation, and prediction on stream (river) networks. SSN2 is the successor to the SSN R package (Ver Hoef, Peterson, Clifford, & Shah, 2014), which was archived alongside broader changes in the R-spatial ecosystem (Nowosad, 2023) that included 1) the retirement of rgdal (Bivand, Keitt, & Rowlingson, 2021), rgeos (Bivand & Rundel, 2020), and maptools (Bivand & Lewin-Koh, 2021) and 2) the lack of active development of sp (Bivand, Pebesma, & Gómez-Rubio, 2013). SSN2 maintains compatibility with the input data file...

Aim: Fundamental to species conservation efforts is the development of accurate distribution models. Doing so is challenging for many stream organisms, where limited funding may necessitate the compilation of incidental observations from multiple sources which lack an overall sampling design and are often spatially clustered. We demonstrate the application of specialised spatial-stream- network models (SSNMs), which incorporate autocorrelation among observations and have the potential to improve species distribution models for many organisms. Location: Rocky Mountains in west-central North...

Area burned by wildfire has increased in western US forests and elsewhere over recent decades coincident with warmer and drier fire seasons. However, high-severity fire - fire that kills all or most trees - is arguably a more important metric of fire activity given its destabilizing influence on forest ecosystems and direct and indirect impacts to human communities. Here, we quantified area burned and area burned severely in western US forests from 1985 to 2022 and evaluated trends through time. We also assessed key relationships between area burned, extent and proportion burned severely,...

Accurate prediction of forest fire spread is a critical management and scientific challenge as the world adapts to rapidly changing fire regimes. We reconstructed 5,400 daily burned area progression maps for 196 U.S. Northern Rocky Mountain wildfires (2012-2021) and used machine learning to estimate daily fire growth given local weather, hydroclimate, fuels and topography. Optimized models explained 36% of the variation in daily fire growth, increasing to 56% when an index of fire activity the previous day was included. Soil moisture and plant hydraulic stress were the dominant predictors...

Fire regimes are context-dependent, as are the ways that animals respond. However, most information on animal responses to fire comes from short-term local field studies, which are hard to extrapolate across large areas for fire management while also capturing spatial variation. To address this challenge, we modeled data from eBird to map the direction, magnitude, and importance of fire regime associations at 27-km resolution across the ranges of six bird species used to guide management decisions in the US: red-cockaded woodpecker (Leuconotopicus borealis), Bachman's sparrow (Peucaea...

Lamprey molecular phylogenies to date have relied on mitochondrial (mt) DNA sequence data, and there has long been recognition that a robust molecular phylogeny of this ancient group of vertebrates - with relatively few phylogenetically informative morphological characters - will require the use of a wider range of genes, particularly nuclear genes (e.g., Lang et al. 2009; Potter et al. 2015; Docker and Hume 2019). Hughes et al. (2025) performed this long awaited phylogenomic analysis to assess phylogenetic relationships of lampreys, and estimated divergence time and diversification rates...

Despite fire being one of the oldest and most important ecological disturbance processes on Earth, many aspects of fire–vegetation feedbacks are poorly understood, limiting their accurate representation in predictive models. Translating plant flammability traits to fire behavior and fire effects on ecosystems has proven a challenge with different disciplines approaching the problem at widely different scales. One approach has been a top-down assessment of ecosystem-level effects of vegetation structural characteristics and plant physiology on fuel properties such as fuel moisture. This...

National forest inventory (NFI) data are often costly to collect, which inhibits efforts to estimate parameters of interest for small spatial, temporal, or biophysical domains. Traditionally, design-based estimators are used to estimate status of forest parameters of interest, but are unreliable for small areas where data are sparse. Additionally, design-based estimates constructed directly from the survey data are often unavailable when sample sizes are especially small. Traditional model-based small area estimation approaches, such as the Fay-Herriot (FH) model, rely on these direct...

Wildfire is a natural disturbance in landscapes of the Western United States, but the effects and extents of fire are changing. Differences between historical and contemporary fire regimes can help identify reasons for observed changes in landscape composition. People living and working in the Great Basin, USA, are observing altered fire conditions, but spatial information about the degree and direction of change and departure from historical fire regimes is lacking. This study estimates how fire regimes have changed in the major Great Basin vegetation types over the past 60 years with...