학술논문

Factors influencing the biodiversity of three microbial groups within and among islands of the Baltic Sea
RESEARCH ARTICLE
Document Type
Report
Source
FEMS Microbiology Ecology. May 2021, Vol. 97 Issue 5, p1d, 13 p.
Subject
Baltic Sea
Language
English
ISSN
0168-6496
Abstract
INTRODUCTION Islands have long served as ideal model systems to examine the mechanisms underlying biodiversity patterns and island studies have contributed enormously to ecological and evolutionary theories (MacArthur and Wilson [...]
Islands provide ideal model systems to examine the factors influencing biodiversity, yet knowledge of microbial biodiversity on islands remains scarce. We collected a dataset from 101 rock pools along a freshwater to brackish water transition on islands of the Baltic Sea and investigated the patterns and drivers of community composition and species richness of diatoms, cyanobacteria and non-cyanobacteria bacteria among islands. We also examined whether environmental heterogeneity increased beta diversity and species richness within islands. Among islands, the patterns in community composition were concordant among the microbial groups, with distinct changes along the freshwater--brackish gradient. The patterns in species richness were context-dependent for each microbial group. In general, richness patterns were most strongly associated with nutrient concentrations or the distances to potential sources of immigrants, whereas no positive relationships between ecosystem size and richness were found. Within islands, environmental heterogeneity was positively correlated with the beta diversity of each microbial group, but not species richness. Our findings provide novel insights into the factors influencing microbial biodiversity. The results suggest that island microbial biodiversity patterns are influenced by species sorting and dispersal-related mechanisms and highlight the importance of environmental heterogeneity for beta diversity. Keywords: bacteria; beta diversity; cyanobacteria; diatoms; islands; species richness