Context <p>Understanding how different biological groups respond to multiple drivers is essential for advancing freshwater ecology and improving biodiversity conservation.</p> Objectives <p>Here, we investigated the relative importance of local habitat conditions, spatial structure, and landscape composition in shaping species richness and composition across four aquatic biological groups (zooplankton, macrophytes, adult odonates, and fish) in streams and ponds on Marajó Island (eastern Amazonia).</p> Methods <p>We sampled lotic and lentic water bodies and used generalized linear mixed models, permutational analyses, and distance-based regressions to disentangle multiscale controls on biodiversity patterns.</p> Results <p>Zooplankton richness was primarily driven by local physicochemical variables, whereas macrophyte, odonate, and fish richness were more strongly associated with landscape composition and spatial structure. System type (lentic vs. lotic) influenced richness and composition only for specific groups. Landscape elements, including forests, flooded areas, grasslands, pastures, and urbanization, exerted context- and scale-dependent effects on community structure, with some forms of landscape modification increasing compositional heterogeneity or favoring particular taxa. Weak covariation among biological groups further indicated low cross-taxon congruence in biodiversity patterns.</p> Conclusions <p>Our findings demonstrate that freshwater biodiversity responses to environmental change are multidimensional, taxon-specific, and scale-dependent. These results highlight the need for integrated, multi-taxon, and multi-scale approaches that account for context-dependent landscape effects to improve biodiversity assessment, monitoring, and conservation in highly heterogeneous tropical systems.</p>

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Different taxa, different rules: disentangling the importance of local conditions, spatial structure, and landscape composition on Amazonian aquatic biodiversity

  • Francieli F. Bomfim,
  • Ana Filipa Palmeirim,
  • Lenize Calvão,
  • Viviane Firmino,
  • Thaisa S. Michelan,
  • Karina Dias-Silva,
  • Luciano Fogaça de Assis Montag,
  • Francisco Maciel Barbosa-Santos,
  • Jorge Luiz da Silva Pereira,
  • Joás Silva Brito,
  • Juan Mateo Rivera-Perez,
  • Luísa Vareira,
  • Jair da Costa Miranda-Filho,
  • Lucimar Silva Carvalho,
  • Larissa Araújo dos Santos,
  • Maura Elisabeth Moraes de Sousa,
  • Renan Peixoto Rosário,
  • Vicente Santos de Sousa,
  • Juan Esteban Bastos Lopes,
  • Eduarda Silva de Lima,
  • Márcio Joaquim da Silva,
  • Marina Barreira Mendonça,
  • Leandro Juen

摘要

Context

Understanding how different biological groups respond to multiple drivers is essential for advancing freshwater ecology and improving biodiversity conservation.

Objectives

Here, we investigated the relative importance of local habitat conditions, spatial structure, and landscape composition in shaping species richness and composition across four aquatic biological groups (zooplankton, macrophytes, adult odonates, and fish) in streams and ponds on Marajó Island (eastern Amazonia).

Methods

We sampled lotic and lentic water bodies and used generalized linear mixed models, permutational analyses, and distance-based regressions to disentangle multiscale controls on biodiversity patterns.

Results

Zooplankton richness was primarily driven by local physicochemical variables, whereas macrophyte, odonate, and fish richness were more strongly associated with landscape composition and spatial structure. System type (lentic vs. lotic) influenced richness and composition only for specific groups. Landscape elements, including forests, flooded areas, grasslands, pastures, and urbanization, exerted context- and scale-dependent effects on community structure, with some forms of landscape modification increasing compositional heterogeneity or favoring particular taxa. Weak covariation among biological groups further indicated low cross-taxon congruence in biodiversity patterns.

Conclusions

Our findings demonstrate that freshwater biodiversity responses to environmental change are multidimensional, taxon-specific, and scale-dependent. These results highlight the need for integrated, multi-taxon, and multi-scale approaches that account for context-dependent landscape effects to improve biodiversity assessment, monitoring, and conservation in highly heterogeneous tropical systems.