Stop guessing thinning distances: a data-driven framework for spatial thinning parametrization for ecological modelling

AI justification

[Analyst A judged it not actionable; Analyst B's verdict applied] Data-driven ecological framework reduces bias in biodiversity modeling, advancing SDGs 13, 14, and 15. | The proposed framework advances ecological science by introducing rigor and reproducibility into spatial thinning, a critical step in biodiversity data analysis. It directly supports SDGs 13, 14, and 15 by improving the reliability of climate-driven distribution models and biodiversity assessments. No ethical violations were id