Community Temperature Index Calculations for Port Fourchon, Louisiana Drop Sampling data from 2006 to 2023

This step links cleaned GBIF occurrences to climatology to quantify species- and community-scale thermal affinities. Occurrence points are spatially thinned to reduce sampling bias, paired with WorldClim SST (bio6) to derive per-taxon species thermal indices and latitudinal envelopes, then joined to multi-year community matrices to compute CTI metrics (means and confidence bounds) for each sample.

本步骤将经过清洗的GBIF（全球生物多样性信息设施，Global Biodiversity Information Facility）物种出现记录与气候学数据集进行关联，以量化物种及群落尺度的热亲和性。随后对出现点位开展空间稀疏化处理以降低采样偏差，将其与WorldClim SST (bio6)配对，以此推导各分类单元的物种热指数与纬度生态幅；继而将所得结果与多年群落矩阵进行关联，为每个样本计算群落温度指数（Community Temperature Index, CTI）的相关指标（均值与置信区间）。