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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.
Data used to identify species occurring in hyperarid environments for
analyses described in "Meta-analysis reveals challenges and gaps for
genome-to-phenome research underpinning plant drought response." The
"PlantsLackingHumanUse_PrelimQCd_Data....
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...
This code was used for the simulation study in: Zaiats, A., Requena-Mullor,
J.M., Germino, M.J., Forbey, J.S., Richardson, B.A., Caughlin, T.T. (2022)
Spatial models can improve the experimental design of field-based transplant
gardens by...
Whole genome resequencing identifies local adaptation associated with
environmental variation for redband trout
**Abstract**
Aquatic ectotherms are predicted to harbour genomic signals of local
adaptation resulting from selective pressures driven...
Dataset contains two compressed General Feature Format (gff) files which
contain locations and identities of coding sequences and repetitive DNA
sequences within the Big Sagebrush (Artemisia tridentata subsp tridentata)
genome data submitted to...
This data set includes three-years (2020-2022) of demographic (survival,
growth, reproduction) data, one-year of allometric data, and seed germination
data over a three-year period for Camassia quamash at the Camas Prairie
Centennial Marsh near...