Service 04
Genotype-environment association for decision support.
Identify environmental drivers of adaptive genomic variation and translate those signals into restoration, seed sourcing, and conservation guidance.
Why GEA matters
Genotype-environment association analyses can help identify where genomic variation is correlated with climate, soil, topography, or other environmental gradients. For restoration and conservation, the value is not the model alone; it is what the model reveals about potential adaptation and management risk.
Decisions this helps answer
- Which environmental gradients appear most associated with adaptive variation?
- Where might populations be vulnerable under future climate conditions?
- Which variables should guide seed sourcing or experimental design?
- How should genomic signals be mapped for practical decision-making?
What we do
We pair genomic data with carefully selected environmental predictors, evaluate genotype-environment relationships, and translate results into spatial outputs and management guidance. The work can support exploratory analysis, formal decision support, or design of common garden and reciprocal transplant experiments.
What you receive
- Summaries of candidate adaptive loci or genomic gradients
- Environmental driver summaries written for management use
- Spatial predictions of adaptive genomic variation
- Genetic offset or climate-risk framing where appropriate
- Recommendations for seed sourcing, sampling, or experimental validation
When this is a fit
GEA is useful when a project needs to understand not only how populations differ, but why those differences may matter. It is especially valuable when restoration decisions span strong environmental gradients or when future climate exposure is central to the decision.
Relevant publications