Faculty of Science, University of South Bohemia, Ceske Budejovice, Czech Republic.
Institute of Entomology, Biology Centre, Czech Academy of Sciences, Ceske Budejovice, Czech Republic.
PLoS One. 2024 Aug 12;19(8):e0308698. doi: 10.1371/journal.pone.0308698. eCollection 2024.
We use community phylogenetics to elucidate the community assembly mechanisms for Geometridae moths (Lepidoptera) collected along a complete rainforest elevational gradient (200-3700 m a.s.l) on Mount Wilhelm in Papua New Guinea. A constrained phylogeny based on COI barcodes for 604 species was used to analyse 1390 species x elevation occurrences at eight elevational sites separated by 500 m elevation increments. We obtained Nearest Relatedness Index (NRI), Nearest Taxon Index (NTI) and Standardised Effect Size of Faith's Phylogenetic Diversity (SES.PD) and regressed these on temperature, plant species richness and predator abundance as key abiotic and biotic predictors. We also quantified beta diversity in the moth communities between elevations using the Phylogenetic Sorensen index. Overall, geometrid communities exhibited phylogenetic clustering, suggesting environmental filters, particularly at higher elevations at and above 2200 m a.s.l and no evidence of overdispersion. NRI, NTI and SES.PD showed no consistent trends with elevation or the studied biotic and abiotic variables. Change in community structure was driven by turnover of phylogenetic beta-diversity, except for the highest 2700-3200 m elevations, which were characterised by nested subsets of lower elevation communities. Overall, the elevational signal of geometrid phylogeny was weak-moderate. Additional insect community phylogeny studies are needed to understand this pattern.
我们使用群落系统发生学来阐明在巴布亚新几内亚的威廉山(Mount Wilhelm)上沿完整雨林海拔梯度(200-3700 米)采集的 geometridae 蛾(鳞翅目)的群落组装机制。基于 COI 条码对 604 个物种的约束系统发育树被用来分析 1390 个物种 x 海拔出现率,这些出现率来自于 8 个海拔站点,每个站点之间相隔 500 米的海拔增量。我们获得了最近亲缘关系指数(NRI)、最近分类单元指数(NTI)和Faith 系统发育多样性标准化效应大小(SES.PD),并将这些指数与温度、植物物种丰富度和捕食者丰度等关键生物和非生物预测因子进行回归分析。我们还使用系统发育索恩森指数量化了蛾类群落之间在海拔上的 beta 多样性。总体而言, geometrid 群落表现出系统发育聚类,表明存在环境过滤器,特别是在 2200 米及以上的高海拔地区,且没有过度分散的证据。NRI、NTI 和 SES.PD 与海拔或所研究的生物和非生物变量没有一致的趋势。群落结构的变化是由系统发育 beta 多样性的周转率驱动的,除了最高的 2700-3200 米海拔外,这些海拔地区的特征是较低海拔群落的嵌套子集。总体而言, geometrid 系统发育的海拔信号较弱到中等。需要进行更多的昆虫群落系统发生学研究来理解这种模式。