Functional trait-based Multi-objective Optimization of Plant Communities for Ecological Restoration under Climate Change

This repository contains all MATLAB code, data, and reproducibility material used in the study: “Functional trait–based multi-objective optimisation of plant communities under contrasting climatic scenarios” (Micalizzi et al., 2025). The deposit includes: Species functional trait dataset (P50, SLA, LDMC) MATLAB App (SpeciesSelectionOptimizationApp_SUB.mlapp) implementing NSGA-II multi-objective optimisation Scripts for convergence analysis (pairwise overlap, KDE density estimation) Scripts for Bray–Curtis validation against field-genus composition Full workflow outputs for both climate scenarios (Near Normal and Extra Dry) README.md with instructions for reproducing all analyses本仓库涵盖了研究论文《基于功能性状的不同气候情景下植物群落多目标优化》（Micalizzi等，2025）中所使用的全部MATLAB代码、数据集及可复现性研究材料。本存储包包含以下内容： - 物种功能性状数据集（包含P50、比叶面积（Specific Leaf Area, SLA）、叶干物质含量（Leaf Dry Matter Content, LDMC)） - 实现NSGA-II多目标优化的MATLAB应用程序（SpeciesSelectionOptimizationApp_SUB.mlapp） - 收敛性分析脚本（涵盖成对重叠分析、核密度估计（Kernel Density Estimation, KDE）） - 用于针对野外属级组成开展Bray-Curtis相似性验证的脚本 - 两种气候情景（近常态情景与极端干旱情景）的完整工作流输出结果 - 包含所有分析复现操作指南的README.md文件