Macrogenetic alignment in ecological strategies better interprets assembly processes than pre-determined functional groupings

Understanding how species assemble across landscapes requires integration of data representing evolutionary, ecological, and biogeographic processes. We developed a comparative macrogenetic framework, applying it across 22 co-distributed rainforest trees, to identify replicated landscape-level genetic signatures. Diversity-migration analyses and genogeographic clustering identified shared spatial dynamics in relation to refugial areas and genetic turnover, but not simple functional trait combinations. Three broad patterns emerged: Higher Northern Diversity with southward migration, Higher Southern Diversity with northward migration, and Homogeneous Diversity with no directional migration. We also identified five (post hoc) species groups sharing gene flow and isolation-by-distance dynamics in relation to recognised biogeographic barriers. Replicated genetic signatures highlight how assembly processes emerge from interacting ecological and historical filters rather than single traits or ..., , , # Macrogenetic alignment in ecological strategies better interprets assembly processes than pre-determined functional groupings Access this dataset on Dryad: [https://doi.org/10.5061/dryad.fxpnvx131](https://doi.org/10.5061/dryad.fxpnvx131) Genomic and climate data and associated scripts for a comparative landscape genetic study involving 22 rainforest species. Genomic analyses were conducted on DArTseq data, and include estimating genetic diversity, migration patterns and genogeographic clustering, to identify replicated genetic patterns across landscape and species. Climate modelling analyses include modelling suitable habitat across three time periods - LGM (Last Glacial Maximum), the present and future 2090 climate scenarios SSP245 and SSP585, with the results used to validate landscape histories. ## Description of the data and file structure There are four main folders in this repository compressed into one .zip file: **Rainforest_Landscape_genetics_data.zip**. This archive con..., , , **Changes after Apr 15, 2026:**  Added a folder called \"Filtered dms files\" with filtered genotype matrices for each species as requested by the editor.  The README has been ammended accordingly to describe these dms files and how they were generated. The method in which to read the dms files into Rstudio is also provided in the README.