Species distribution modeling reveals the influence of climatic and geographic factors on scarab beetle beta diversity along altitudinal gradients

Beta diversity patterns result from the assembly of communities shaped by local and regional filters. However, understanding these patterns is limited by gaps in species distribution knowledge, especially for hyperdiverse groups. In this context, ecological niche modeling represents an effective approach to overcoming such limitations by providing robust species distribution predictions. In this study, we used the distribution models of 67 scarab beetle species to assess patterns of beta diversity and its components (species turnover and nestedness) across 14 elevational gradients on the coastal and inland montane slopes of El Salvador. We also analyzed the effects of climatic (environmental filter) and geographic (dispersal filter) factors on beta diversity. Our results show that beta diversity decreased with increasing elevation, independently of geographic region, and that there were no significant differences in the relative contributions of turnover and nestedness between coastal a..., , # Data from: Species distribution modeling reveals the influence of climatic and geographic factors on scarab beetle beta diversity along altitudinal gradients Dataset DOI: [10.5061/dryad.5hqbzkhk8](https://doi.org/10.5061/dryad.5hqbzkhk8) ## Description of the data and file structure **Overview** The presence of scarab beetle species (based on the potential distribution maps) and climatic variables in cells of ≈1 km² along 14 transects (altitudinal gradients) in El Salvador, Central America. The transects were located in two geographic regions (costal and inland). **Author(s)** José D. Pablo-Cea^1,2^ ^1^Red de Biodiversidad y Sistemática, Instituto de Ecología A.C. Carretera Antigua a Coatepec 351, El Haya, Xalapa, Veracruz 91070, Mexico. ^2^Escuela de Biología, Facultad de Ciencias Naturales y Matemática, Universidad de El Salvador, El Salvador. Andrés Ramírez-Ponce Red de Biodiversidad y Sistemática, Instituto de Ecología A.C. Carretera Antigua a Coatepec 351, El Haya, Xala...,β多样性（beta diversity）的格局由局域与区域过滤作用塑造的群落组装过程所决定。然而，当前对该格局的认知受限于物种分布知识的缺口，对于物种极度丰富的类群而言尤为如此。在此背景下，生态位模型（ecological niche modeling）可通过提供可靠的物种分布预测，成为突破此类局限的有效手段。本研究借助67种金龟子（scarab beetle）的分布模型，评估了萨尔瓦多沿海与内陆山地坡地的14条海拔梯度上的β多样性格局及其组分（物种周转与嵌套性）；同时分析了气候（环境过滤）与地理（扩散过滤）因子对β多样性的影响。研究结果显示，β多样性随海拔升高而降低，且不受地理区域的影响；沿海与内陆间的物种周转与嵌套性的相对贡献并无显著差异……# 数据来源：物种分布模型揭示气候与地理因子沿海拔梯度对金龟子β多样性的影响 数据集DOI：[10.5061/dryad.5hqbzkhk8](https://doi.org/10.5061/dryad.5hqbzkhk8) ## 数据与文件结构说明 **数据概览** 中美洲萨尔瓦多境内14条样带（海拔梯度）上约1平方千米网格单元内的金龟子物种分布记录（基于潜在分布地图）与气候变量数据。样带分布于两个地理区域：沿海区域与内陆区域。 **作者信息** 何塞·D·巴勃罗-塞阿（José D. Pablo-Cea）^1,2^ ^1^ 生物多样性与系统学网络，墨西哥生态研究院A.C.，旧科阿特佩克公路351号，埃尔哈亚，哈拉帕，韦拉克鲁斯州91070，墨西哥。 ^2^ 萨尔瓦多大学，自然科学与数学学院生物学系，萨尔瓦多。 安德烈斯·拉米雷斯-蓬塞（Andrés Ramírez-Ponce） 生物多样性与系统学网络，墨西哥生态研究院A.C.，旧科阿特佩克公路351号，埃尔哈亚，哈拉帕……