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GEM3 is an NSF EPSCoR research program seeking to understand how genetic diversity and phenotypic plasticity affect species response to environmental change, shaping both population response and adaptive capacity.
**Abstract**
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...
UAS imagery data and data products from Camas, Cedar Gulch and Rocky Canyon
Idaho. Data were collected in both summer and winter seasons between
2013-2015. Data products include digital surface models (DSM), orthorectified
color imagery (Ortho),...
**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....
Data and code files included within release v1.0 from the
[Sagebrush_in_vitro_prop
GitRepo](https://github.com/svenbuerki/Sagebrush_rooting_in_vitro_prop).
Please visit the associated [project
website](https://svenbuerki.github.io/...
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...
Sagebrush identification can be improved by using a relatively easy
ultraviolet (UV) light test on specimens. Sagebrush produces a variety of
water-soluble polyphenols called coumarins, which fluoresce a blue color
under UV light and can help...
Adaptive capacity is a topic at the forefront of environmental change
research with roots in both social, ecological, and evolutionary science. It
closely related to the evolutionary biology concept of adaptive potential. In
this systematic...
Water temperature data collected from North Callahan and Trail Creeks in
northern Idaho using HOBO Tidbit temperature loggers. Data is recorded at
15-minute intervals in degrees Celsius. Five sites are included within the
dataset: two sites from...
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....
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...