26 Works

Data from: Forest carbon emission sources are not equal: putting fire, harvest, and fossil fuel emissions in context

Kristina Bartowitz, Eric Walsh, Jeffrey Stenzel, Crystal Kolden & Tara Hudiburg
Climate change has intensified the scale of global wildfire impacts in recent decades. To help policymakers and managers avoid these unintended carbon consequences and to present carbon emission sources in the same context, we calculate western US forest fire carbon emissions and compare them with harvest and fossil fuel emissions over the same timeframe. We find that forest fire carbon emissions are on average only 6% of anthropogenic fossil fuel emissions (FFE) over the past...

Data from: Near-infrared spectroscopy aids ecological restoration by classifying variation of taxonomy and phenology of a native shrub

Brecken Robb, Peter Olsoy, Jessica Mitchell, T. Trevor Caughlin, Donna Delparte, Stephanie Galla, Marcella R. Fremgen-Tarantino, Jordan D. Nobler, Janet Rachlow, Lisa A. Shipley & Jennifer Sorensen Forbey
Plant communities are composed of complex phenotypes that not only differ among taxonomic groups and habitats but also change over time within a species. Restoration projects (e.g., translocations, reseeding) can introduce new functional variation in plants, which further diversifies phenotypes and complicates our ability to identify locally adaptive phenotypes for future restoration. Near-infrared spectroscopy (NIRS) offers one approach to detect the chemical phenotypes that differentiate plant species, populations, and phenological states of individual plants over...

Compiled Idaho sagebrush chemistry and plant herbivore interaction data

Jennifer Sorensen Forbey, Peter Olsoy, Brecken Robb, Marcella R. Fremgen-Tarantino & Jordan D. Nobler
Compilation of sagebrush chemistry and herbivore interaction data from Idaho USA. Chemical data includes percent crude protein, percent nitrogen, coumarins, phenolics, total monoterpenes, monoterpene chemical diversity, and quantifiable amounts of the following monoterpenes: aPinene, Camphene, bPinene, p_cymene, 1,8_cineole, monoterpene "unknown 20.1", Camphor, and Borneol. Herbivore interaction data includes bite mark counts, fecal pellet counts, and/or evidence of foraging presence/absence data for pygmy rabbits and sage grouse at select study sites. At the time of publication...

Restoration thinning in a drought-prone Idaho forest creates a persistent carbon deficit

Tara Hudiburg & Jeffrey Stenzel

Tag, migration, and fate data of adult radio-tagged Chinook and sockeye salmon and steelhead in the Columbia River Basin 1996-2014

Matthew Keefer, Michael Jepson, Christopher Caudill & Tami Clabough
These datasets provide information on radiotelemetry tagging, migration and fate of adult spring, summer, and fall Chinook salmon (Oncorhynchus tshawytscha), sockeye salmon (O. nerka) and steelhead (O. mykiss) in the Columbia River Basin, 1996-2014. The tagging database provides tagging metrics that include date collected at time of capture and release, size, fin clips, condition, injuries, marks or tags, release site, etc. The migration databases includes complete migration histories and integrates all coded radio detections, PIT-tag...

Activity Recognition Model: Sensor (AS), GNSS, Time and Motion Study (TM), and Individual Tree Data

Ryer Becker & Robert Keefe

Data and R Source Code for \"Toward a Novel Laser-Based Approach for Estimating Snow Interception\"

Micah Russell
The primary objective of this study was to provide a feasibility assessment for estimating snow interception volume with terrestrial laser scanning (TLS), providing information on challenges and opportunities for future research. During the winters of 2017 and 2018, intercepted snow masses were continuously measured for two model trees suspended from load-cells. Simultaneously, autonomous terrestrial lidar scanning (ATLS) was used to develop volumetric estimates of intercepted snow.

Data from: Important airborne lidar metrics of canopy structure for estimating snow interception

Micah Russell, Jan Eitel, Timothy Link & Carlos A. Silva

Tools of engagement

Daniel Cronan

Data from: Constraining low-altitude lunar dust using the LADEE/UVS data

Himanshi Sharma & Matthew Hedman

Fine-scale habitat patches of Idaho attributed with climatic, topographic, soil, vegetation, and disturbance variables

Ryan McCarley
This data publication contains approximately 44.3 million polygons derived from multi-scale object-oriented image analysis attributed with climatic, topographic, soil, vegetation, and disturbance variables. The polygons provide continuous coverage for the entire state of Idaho, USA. Additionally, this publication contains the parameters for lasso logistic regression models generated to predict the probability of plant species occurrence using the variables attributed to each polygon.

Data from: Food quality, security, and thermal refuge influence use of microsites and patches by pygmy rabbits (Brachylagus idahoensis) across landscapes and seasons

Peter Olsoy, Charlotte Milling, Jordan D. Nobler, Meghan J. Camp, Lisa A. Shipley, Janet Rachlow & Daniel Thornton
How intensely animals use habitat features depends on their functional properties (i.e., how the feature influences fitness) and the spatial and temporal scale considered. For herbivores, habitat use is expected to reflect the competing risks of starvation, predation, and thermal stress, but the relative influence of each functional property is expected to vary in space and time. We examined how a dietary and habitat specialist, the pygmy rabbit (Brachylagus idahoensis), used these functional properties of...

Data from: Assessing accuracy of GAP and LANDFIRE land cover datasets in winter habitats used by greater sage-grouse in Idaho and Wyoming, USA

Marcella R. Fremgen-Tarantino, Peter Olsoy, Graham G. Frye, John W. Connelly, Alan H. Krakauer, Gail L. Patricelli, Andrew Wright Child & Jennifer Sorensen Forbey
Remotely sensed land cover datasets have been increasingly employed in studies of wildlife habitat use. However, meaningful interpretation of these datasets is dependent on how accurately they estimate habitat features that are important to wildlife. We evaluated the accuracy of the GAP dataset, which is commonly used to classify broad cover categories (e.g., vegetation communities) and LANDFIRE datasets, which are classify narrower cover categories (e.g., plant species) and structural features of vegetation. To evaluate accuracy,...

Data from: Modeling tree canopy height using machine learning over mixed vegetation landscapes

Hui Wang, Travis Seaborn & Zhe Wang
Although the random forest algorithm has been widely applied to remotely sensed data to predict characteristics of forests, such as tree canopy height, the effect of spatial non-stationarity in the modeling process is oftentimes neglected. Previous studies have proposed methods to address the spatial variance at local scales, but few have explored the spatial autocorrelation pattern of residuals in modeling tree canopy height or investigated the relationship between canopy height and model performance. By combining...

Agisoft Structure-from-motion Protocols

Anna Roser, Valorie Marie, Peter Olsoy, Donna Delparte & T. Trevor Caughlin
This workflow was developed with the intent of creating high quality and high resolution 3D models of sagebrush sites from drone imagery. Throughout the process of testing this workflow, we used RGB imagery from a Mavic 2 Pro. The image resolution ranges from .7-1.1cm/pix. The imagery was collected with a crossgrid pattern and high foreward/side lap (~70/80%). We recommend that this document be used as a guide and reference. Please note that we cannot guarantee...

Data from: Boosts in leaf-level photosynthetic capacity aid Pinus ponderosa recovery from wildfire

Kelsey Bryant, Hyojung Kwon, Crystal Kolden, Jeffrey Stenzel, Justin Mathias, Laurel Lynch & Tara Hudiburg
Forests mitigate climate change by sequestering massive amounts of carbon, but recent increases in wildfire activity are threatening carbon storage. Currently, our understanding of wildfire impacts on forest resilience and the mechanisms controlling post-fire recovery remains unresolved due to a lack of empirical data on mature trees in natural settings. Here, we quantify the physiological mechanisms controlling carbon uptake immediately following wildfire in mature individuals of ponderosa pine (Pinus ponderosa), a wide-spread and canopy-dominant tree...

Unoccupied aerial systems imagery near Castle Rocks Idaho-2021

Anna Roser, Valorie Marie, Peter Olsoy, Donna Delparte & T. Trevor Caughlin

Data from: CO2e Footprint and Eco-Impact of Ultralow Phosphorus Removal by Hydrous Ferric Oxide Reactive Filtration: A Municipal Wastewater LCA Case Study

Lusine Taslakyan, Martin Baker, Dev Shrestha, Daniel Strawn & Gregory Möller

Data from: Evaluating Coordinative Binding Mechanisms through Experimental and Computational Studies of Methoxy-substituted Arylazothioformamide Copper(I) Complexes

Rabina Pradhan, Vincent Groner, Kaylaa L. Gutman, Garrett E. Larson, Yuwei Kan, Qiang Zhang, Zachariah Heiden, Mark Roll, James Moberly & Kristopher Waynant
UV-Vis spectroscopic titration studies of ATF ligands 6, 8 and 10 with Cu salts were prepared as follows: ligand solutions were prepared to 1.45 x 10-4 M in acetonitrile. 1.2 mL of ATF solution was added to a quartz cuvette. Titrations were performed with Cu halide salts and [N(Bu4)2(µ-I)-Cu2I4] utilizing 1.35 mM stock solutions in acetonitrile and sequentially adding 13 µL (roughly 0.1 equivalent of metal salt) until reaching a metal salt concentration of three...

Data from: Mapping foodscapes and sagebrush morphotypes with unmanned aerial systems for multiple herbivores

Peter Olsoy, Jennifer Sorensen Forbey, Lisa Shipley, Janet Rachlow, Brecken Robb, Jordan Nobler & Daniel Thornton
Context The amount and composition of phytochemicals in forage plants influences habitat quality for wild herbivores. However, evaluating forage quality at fine resolutions across broad spatial extents (i.e., foodscapes) is challenging. Unmanned aerial systems (UAS) provide an avenue for bridging this gap in spatial scale. Objectives We evaluated the potential for UAS technology to accurately predict nutritional quality of sagebrush (Artemisia spp.) across landscapes. We mapped seasonal forage quality across two sites in Idaho, USA,...

Unoccupied aerial systems imagery from Duncan Saddle Idaho

Anna Roser, Valorie Marie, Peter Olsoy, Donna Delparte & T. Trevor Caughlin
The images used to make these data products were collected at Duncan Saddle, approximately one hour south of Mountain Home, Idaho, in August 2021. We used a DJI Mavic 2 Pro with Map Pilot Pro software to capture imagery over the area of interest. The imagery was collected in a crossgrid pattern at 44m above ground level; the resulting imagery have a ground resolution of 1cm/pixel. The images were processed and the products created in...

Water Balance Model (WBM) simulations of the Upper Snake River Basin 2008-2017

Shan Zuidema

Data from: Fish carcasses alter subyearling Chinook salmon dispersal behavior and density but not growth in experimental mesocosms

Matthew Dunkle, Ryan Dunbeck & Christopher Caudill

Registration Year

  • 2022
    15
  • 2021
    8
  • 2020
    3

Resource Types

  • Dataset
    23
  • Audiovisual
    1
  • Software
    1
  • Workflow
    1

Affiliations

  • University of Idaho
    26
  • Boise State University
    9
  • Washington State University
    5
  • Idaho State University
    4
  • University of California, Merced
    2
  • University of New Hampshire
    2
  • University of Florida
    2
  • University of South Dakota
    1
  • University of Montana
    1
  • The Ohio State University
    1