<p>The calculation of beta diversity is widely applied and useful for explaining why species are distributed in certain ways across space. Floodplains, in turn, are excellent models for assessing the factors that drive beta diversity variation. We studied 50 lakes in the Brazilian Pantanal floodplain to examine the relative contributions of sites (LCBD) and species (SCBD) to beta diversity, focusing on the phytoplankton community. We explored the effects of community metrics (species richness and density), environmental metrics (limnological variables), and spatial factors (geographic distance and connectivity) on LCBD values. Additionally, we assessed the effects of total density and occurrence of individual phytoplankton species on SCBD values. To achieve this, we employed beta regression models. We found high total beta diversity in the region (0.76), i.e., low species similarity among sites. Both spatial factors (geographic distance) and environment variables (conductivity and pH) contributed significantly to the contribution of sites to beta diversity, although the environmental factors had a greater effect on LCBD values. We also found that both rare and common species had above average SCBD values. For restoration and conservation purposes, we suggest considering both site uniqueness, based on LCBD values, and evaluating sites with higher species richness to maintain regional diversity.</p>

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Site and species contribution to beta diversity of phytoplankton communities in lakes of a tropical floodplain

  • Samiris Pereira da Silva,
  • Nayara Dores da Silva Paes,
  • Gisele Fernanda Pereira Assis,
  • Victor Lemes Landeiro

摘要

The calculation of beta diversity is widely applied and useful for explaining why species are distributed in certain ways across space. Floodplains, in turn, are excellent models for assessing the factors that drive beta diversity variation. We studied 50 lakes in the Brazilian Pantanal floodplain to examine the relative contributions of sites (LCBD) and species (SCBD) to beta diversity, focusing on the phytoplankton community. We explored the effects of community metrics (species richness and density), environmental metrics (limnological variables), and spatial factors (geographic distance and connectivity) on LCBD values. Additionally, we assessed the effects of total density and occurrence of individual phytoplankton species on SCBD values. To achieve this, we employed beta regression models. We found high total beta diversity in the region (0.76), i.e., low species similarity among sites. Both spatial factors (geographic distance) and environment variables (conductivity and pH) contributed significantly to the contribution of sites to beta diversity, although the environmental factors had a greater effect on LCBD values. We also found that both rare and common species had above average SCBD values. For restoration and conservation purposes, we suggest considering both site uniqueness, based on LCBD values, and evaluating sites with higher species richness to maintain regional diversity.