O que faz a polinização ser “o menor dos mundos”? Uma análise a partir de estudos de caso

Abstract

Plant-pollinator interaction networks express a typical structure, marked by strong connectivity, degree of dependence and its size. Modularity may also be characterized in this system, especially when it comes to specialized syndromes, involving partners with certain more specific specificities and abilities. Particularly noteworthy are poricidal flowers and vibrating bees, oil flowers and bees collecting floral oils, resin flowers and Euglossini, tubular flowers and their related pollinators, ranging from long-tailed bees or specific hummingbirds to bats and sphingids.In this way, we aim to present a brief analysis to try to portray the biological system that involves the pollinator network in a fragmented Atlantic Forest scenario. Data collection was done through a bibliographic survey based on case studies developed in the PEDI. The works were collected in the database Pergamum and Google Scholar, using theses, dissertations and scientific articles. The keywords used in the search were pollination, reproductive biology and floral biology (pollination, reproductive biology and floral biology).The following information was extracted from the works for the construction of the network: I – name of plant species, II- name of the pollinators identified in the interactions. Then, the binary matrix was applied to Program R for the creation of the network of interaction in graph form. The size of the net found in the PEDI was equal to 60 (49 species of pollinators, being bees, flies and hummingbird and 11 species of plants). The bipartite graph presented heterogeneous connectivity, most interactions were simple, where many species interacted with few partners. From the perspective of pollinators, only Phaethornis ruber made generalist interactions (4). Among the plants, the Byrsonima sericea species presented the most connections (17). The present work concluded that the interaction network presented characteristics that confirm the expected patterns for pollination networks, especially for specialized syndromes.