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Data and report from the 2021/2022 GEM3 and Idaho Rangeland Resources
Commission statewide survey of Idahoans' opinions on sagebrush landscapes,
rangelands, and public lands. Survey topics included sense of place, values
for sagebrush landscapes...
Boise State University student researchers conducted interviews with
community members living and working in Idaho's sagebrush steppe in Spring
2022. These interviews were part of Collecting Gems: Improving Workforce
Communication and Listening...
**Abstract**
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...
Code for AoB paper: "Post-fire seed dispersal of a wind-dispersed shrub
declined with distance to seed source, yet had high levels of unexplained
variation"
This repository includes code needed to replicate the models in the paper,
including the...
This code was used for the study in: Zaiats, A., Cattau M.E., Pilliod D.S.,
Liu R., Requena-Mullor, J.M., Caughlin, T.T. (2023) Forecasting natural
regeneration of sagebrush after wildfires using population models and spatial
matching. Landscape...
Accurate predictions of ecological restoration outcomes are needed across the
increasingly large landscapes requiring treatment following disturbances.
However, observational studies often fail to account for nonrandom treatment
application,...
Interannual variation, especially weather, is an often-cited reason for
restoration “failures”; yet its importance is difficult to experimentally
isolate across broad spatiotemporal extents, due to correlations between
weather and site...
Seed yield data and code that support the following peer-reviewed manuscript
in [*American Journal of Botany*](https://doi.org/10.1002/ajb2.1714). The
datasets and R scripts are available from GitHub [Seed
Yield](https://github.com/brichardsonfs/...
Growth data and code that support the following peer-reviewed manuscript in
[*American Journal of Botany*](https://doi.org/10.1002/ajb2.1714). The
datasets and R scripts are available from GitHub
[Growth](https://github.com/brichardsonfs/growth)...
These datasets provide early estimates of 2021 exotic annual grasses (EAG)
fractional cover predicted on July 1 using satellite observation data
available until June 28th. In previous releases, we developed and released
one general EAG fractional...
awchild