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<p>Understanding spatial variation in biodiversity is essential for effective conservation planning. Beta diversity describes variation in species composition across habitats and environmental gradients, while the Local Contribution to Beta Diversity (LCBD) identifies sites with unique community composition. Odonates are sensitive indicators of freshwater ecosystem health, yet their spatial diversity patterns remain poorly documented in many Indian River systems. We conducted this study to understand LCBD patterns in Odonata assemblages along the Ramganga River, identify conservation-priority sites, and determine physicochemical drivers of species richness and beta diversity components. We surveyed odonates at 19 sites along the lower Ramganga River during the summer and winter of 2023 and 2024. We analyzed species abundance to calculate LCBD based on the Ruzicka index and its components–balanced variation (LCBD<sub>RUZ.BAL</sub>) and abundance gradients (LCBD<sub>RUZ.GRA</sub>). We used Principal Component Analysis to summarize environmental gradients and applied generalized linear and beta regression models to examine relationships among species richness, LCBD, and physicochemical variables. We recorded 20 odonate species across the study sites. LCBD values varied spatially, with the middle reaches of the Ramganga River contributing disproportionately to regional beta diversity and therefore requiring priority for conservation and restoration. Species richness showed a negative relationship with LCBD<sub>RUZICKA</sub> and LCBD<sub>RUZ.BAL</sub>, while LCBD<sub>RUZ.GRA</sub> exhibited a U-shaped pattern. Conductivity, pH, nitrate, and total dissolved solids significantly influenced species richness and beta diversity patterns. This study demonstrates the value of LCBD-based approaches for identifying ecologically unique sites and highlights the importance of integrating biodiversity metrics with environmental variables to guide conservation strategies.</p>

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Local contribution to the beta diversity of Odonata assemblages in a subtropical alluvial river stretch

  • 期刊论文

  • 发表日期：

    2026年4月25日

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  • Vinita Sangela,
  • Kritish De,
  • Ruchi Badola,
  • Syed Ainul Hussain

摘要

Understanding spatial variation in biodiversity is essential for effective conservation planning. Beta diversity describes variation in species composition across habitats and environmental gradients, while the Local Contribution to Beta Diversity (LCBD) identifies sites with unique community composition. Odonates are sensitive indicators of freshwater ecosystem health, yet their spatial diversity patterns remain poorly documented in many Indian River systems. We conducted this study to understand LCBD patterns in Odonata assemblages along the Ramganga River, identify conservation-priority sites, and determine physicochemical drivers of species richness and beta diversity components. We surveyed odonates at 19 sites along the lower Ramganga River during the summer and winter of 2023 and 2024. We analyzed species abundance to calculate LCBD based on the Ruzicka index and its components–balanced variation (LCBDRUZ.BAL) and abundance gradients (LCBDRUZ.GRA). We used Principal Component Analysis to summarize environmental gradients and applied generalized linear and beta regression models to examine relationships among species richness, LCBD, and physicochemical variables. We recorded 20 odonate species across the study sites. LCBD values varied spatially, with the middle reaches of the Ramganga River contributing disproportionately to regional beta diversity and therefore requiring priority for conservation and restoration. Species richness showed a negative relationship with LCBDRUZICKA and LCBDRUZ.BAL, while LCBDRUZ.GRA exhibited a U-shaped pattern. Conductivity, pH, nitrate, and total dissolved solids significantly influenced species richness and beta diversity patterns. This study demonstrates the value of LCBD-based approaches for identifying ecologically unique sites and highlights the importance of integrating biodiversity metrics with environmental variables to guide conservation strategies.