Multiple Diversity Measures Are Necessary to Represent Biodiversity Patterns of Lentic Communities DOI
Carlos H. L. Liborio

Freshwater Biology, Journal Year: 2025, Volume and Issue: 70(5)

Published: May 1, 2025

ABSTRACT The varying strengths of relationships between diversity measures—be they taxonomic, functional or phylogenetic—imply that biodiversity dimensionality is variable. Understanding these dimensions essential to discerning how local communities respond environmental changes. This study aimed (i) evaluate the in lentic systems, (ii) identify primary measures differentiate and (iii) test hypothesis positively correlated with dimensionality. Using a large dataset encompassing phytoplankton, zooplankton macroinvertebrate from lake ecosystems across contiguous United States, I calculated Camargo's evenness index based on eigenvalues principal component analysis (PCA) assess biodiversity. also evaluated degree which multiple were necessary describe community patterns. found two three sets required adequately capture patterns plankton communities, respectively. main differentiating those included phylogenetic structure among taxa. Taxonomic richness emerged as important variables. anticipated positive relationship was supported for but not planktonic groups. finding suggests complexity may have distinct impacts depending taxonomic group considered. These results indirectly suggest relying single measure cause studies overlook responses gradients. More importantly, line previous studies, using only identities falls short communities. feasibility require detailed information (e.g., structure) real‐world contexts bioassessment) an issue should be carefully further studies.

Language: Английский

Multiple Diversity Measures Are Necessary to Represent Biodiversity Patterns of Lentic Communities DOI
Carlos H. L. Liborio

Freshwater Biology, Journal Year: 2025, Volume and Issue: 70(5)

Published: May 1, 2025

ABSTRACT The varying strengths of relationships between diversity measures—be they taxonomic, functional or phylogenetic—imply that biodiversity dimensionality is variable. Understanding these dimensions essential to discerning how local communities respond environmental changes. This study aimed (i) evaluate the in lentic systems, (ii) identify primary measures differentiate and (iii) test hypothesis positively correlated with dimensionality. Using a large dataset encompassing phytoplankton, zooplankton macroinvertebrate from lake ecosystems across contiguous United States, I calculated Camargo's evenness index based on eigenvalues principal component analysis (PCA) assess biodiversity. also evaluated degree which multiple were necessary describe community patterns. found two three sets required adequately capture patterns plankton communities, respectively. main differentiating those included phylogenetic structure among taxa. Taxonomic richness emerged as important variables. anticipated positive relationship was supported for but not planktonic groups. finding suggests complexity may have distinct impacts depending taxonomic group considered. These results indirectly suggest relying single measure cause studies overlook responses gradients. More importantly, line previous studies, using only identities falls short communities. feasibility require detailed information (e.g., structure) real‐world contexts bioassessment) an issue should be carefully further studies.

Language: Английский

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