Data from: Phenology and Morphology Drive High Niche Partitioning in a Butterfly-Flower Interaction Network

Title: Phenological overlap and morphology drive high niche partitioning in a butterfly-flower interaction network<br>Authors: Lucas Benício de Castro, Matheus Ambrósio Pacheco, Marsal Danrlei Amorim, Ana Carolina Pereira Machado, Luis Gustavo de Sousa Perugini, Danila Moreira, Rodrigo Santiago, Breno Dias Vitorino, Leonardo Ré Jorge, Pietro Kiyoshi Maruyama, André Rodrigo Rech<br>Description:Dataset of butterfly–flower interactions recorded over one year in the campos rupestres ecosystem of Diamantina, Minas Gerais, Brazil. It includes species identities, interaction frequencies, plant phenology, floral abundance, proboscis length of butterflies, and floral tube length of plants. Data support the analyses in the study demonstrating that phenological overlap and morphological matching drive high niche partitioning in a modular and specialised network, with strong seasonal turnover of species and interactions.<br><br>

标题：《物候重叠与形态特征驱动蝴蝶-花互作网络的高生态位分化》
作者：Lucas Benício de Castro, Matheus Ambrósio Pacheco, Marsal Danrlei Amorim, Ana Carolina Pereira Machado, Luis Gustavo de Sousa Perugini, Danila Moreira, Rodrigo Santiago, Breno Dias Vitorino, Leonardo Ré Jorge, Pietro Kiyoshi Maruyama, André Rodrigo Rech
描述：本数据集记录了巴西米纳斯吉拉斯州迪亚曼蒂纳地区岩原生境（campos rupestres）内为期一年的蝴蝶-花互作观测数据，涵盖物种身份、互作频率、植物物候、花部丰度、蝴蝶喙长以及植物花管长度等信息。本数据集支撑了本研究的相关分析，研究结果表明，物候重叠与形态匹配性共同驱动了模块化特化网络中的高生态位分化，且物种与互作关系存在显著的季节更替现象。