Functional and taxonomic beta diversity of butterfly assemblages in an archipelago: relative importance of island characteristics, climate, and spatial factors

Zhou, Shurong; Wang, Kan; Messyasz, Beata; Xu, Yang; Gao, Meixiang; Li, Yuying

doi:10.1016/j.ecolind.2022.109191

Cited by 6 publications

(8 citation statements)

References 72 publications

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“…Temperature was the strongest driver of both taxonomic and functional β-diversity, with unique effects of environmental variables explaining the most significant variation of both facets of β-diversity. Temperature is a major driver of butterfly taxonomic and functional β-diversity as it significantly affects their physiology [ 83 , 84 , 89 ]. Additionally, processes such as dispersal limitation and evolutionary history seem to play a role, albeit weaker than environmental filtering, in shaping butterfly communities as was indicated by the relative importance of geographical distance and its unique effects.…”

Section: Discussionmentioning

confidence: 99%

How Biodiversity, Climate and Landscape Drive Functional Redundancy of British Butterflies

Lazarina,

Michailidou,

Tsianou

et al. 2023

Insects

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Biodiversity promotes the functioning of ecosystems, and functional redundancy safeguards this functioning against environmental changes. However, what drives functional redundancy remains unclear. We analyzed taxonomic diversity, functional diversity (richness and β-diversity) and functional redundancy patterns of British butterflies. We explored the effect of temperature and landscape-related variables on richness and redundancy using generalized additive models, and on β-diversity using generalized dissimilarity models. The species richness-functional richness relationship was saturating, indicating functional redundancy in species-rich communities. Assemblages did not deviate from random expectations regarding functional richness. Temperature exerted a significant effect on all diversity aspects and on redundancy, with the latter relationship being unimodal. Landscape-related variables played a role in driving observed patterns. Although taxonomic and functional β-diversity were highly congruent, the model of taxonomic β-diversity explained more deviance than the model of functional β-diversity did. Species-rich butterfly assemblages exhibited functional redundancy. Climate- and landscape-related variables emerged as significant drivers of diversity and redundancy. Τaxonomic β-diversity was more strongly associated with the environmental gradient, while functional β-diversity was driven more strongly by stochasticity. Temperature promoted species richness and β-diversity, but warmer areas exhibited lower levels of functional redundancy. This might be related to the land uses prevailing in warmer areas (e.g., agricultural intensification).

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Section: Discussionmentioning

confidence: 99%

How Biodiversity, Climate and Landscape Drive Functional Redundancy of British Butterflies

Lazarina,

Michailidou,

Tsianou

et al. 2023

Insects

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“…Understanding the processes and mechanisms that shape the distribution patterns and variations of biodiversity along environmental gradients remains a priority for ecological research, especially in the study of community ecology and the potential effects of global change (Aarnio & Soininen, 2021 ; Jamoneau et al., 2018 ; Meynard et al., 2011 ). Meanwhile, clarifying the driving of biodiversity decline is also important for achieving biodiversity conservation goals and developing effective strategies for management decisions (Kang et al., 2018 ; Zhang et al., 2021 ; Zhou et al., 2022 ).…”

Section: Introductionmentioning

confidence: 99%

“…Alpha diversity is the variety and variability of life forms within communities (Grigoropoulou et al., 2022 ; Laliberte et al., 2020 ), and species richness is the simplest measure of alpha diversity (Kang et al., 2018 ). Taxonomic diversity is one of the most studied metrics in community ecological surveys (Zhou et al., 2022 ). However, co‐occurring species can exhibit different extents of “shared” habitat preference, functional features, or life history (Grigoropoulou et al., 2022 ; Richter et al., 2021 ; Wu et al., 2017 ).…”

Section: Introductionmentioning

confidence: 99%

“…It has been found that functional diversity can also contribute to their ecosystem resilience in response to environmental changes (Meynard et al., 2011 ; Teichert et al., 2018 ). Functional diversity has been found to provide more measurable and stable characteristics in the responses to environmental changes as well as ecological complementary information (Wu et al., 2019 ; Zhou et al., 2022 ). However, alpha diversity is scale‐dependent and their patterns and explanatory factors vary over spatial scales (Bhatta et al., 2018 ).…”

Section: Introductionmentioning

confidence: 99%

“…Beta diversity, considering the diversity variation across temporal and spatial scales, is a key component of biodiversity. It can provide a powerful tool for understanding the driving forces that underlie the community structure at multiple spatial and temporal scales, as well as for conservation purposes (Baselga & Leprieur, 2015 ; Villéger et al., 2013 ; Zhou et al., 2022 ). It can be partitioned into turnover and nestedness components, and this decomposition can help to detect the mechanisms behind observed beta diversity patterns (Jamoneau et al., 2018 ; Wu et al., 2023 ).…”

Section: Introductionmentioning

confidence: 99%

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Different facets of alpha and beta diversity of benthic diatoms along stream watercourse in a large near‐natural catchment

Wu,

Liu,

et al. 2024

Ecology and Evolution

Self Cite

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Understanding the processes and mechanisms that shape the distribution patterns and variations of biodiversity along spatial gradients continues to be a priority for ecological research. We focused on the biodiversity of benthic diatom communities within a large near‐natural watershed. The objectives are: (1) to explore the overall spatial patterns of benthic diatom biodiversity; (2) to investigate the effects associated with watercourse position and environmental variables, as well as both common and rare species on two facets (i.e., taxonomic and functional) of alpha and beta diversity; and (3) to unveil the mechanisms underlying their spatial variations. Alpha diversity indices along the stream watercourse showed a clear increasing trend from upstream to downstream sites. Results of random forest regression identified conductivity as the primary factor influencing functional alpha diversity, while elevation emerged as the predominant factor for taxonomic alpha diversity. Beta diversity partitioning revealed that taxonomic beta diversity generally exceeded functional beta diversity. These diversity measures exhibited different patterns along the watercourse position: taxonomic beta diversity remained relatively consistent along the watercourse, whereas functional total beta diversity and its two components of middle stream sites were lower than those of upstream and downstream sites. Functional beta diversity was sustained by dominant and common species, while rare species made significant contributions to taxonomic beta diversity. Both taxonomic and functional beta diversity and its components displayed a stronger influence from spatial factors than from local environmental, geo‐climatic, and nutrient variables. Collectively, taxonomic and functional alpha and beta diversity demonstrated distinct responses to the main environmental gradients and spatial factors within our catchment, highlighting their different insights into diatom diversity. Furthermore, research is required to assess the generalizability of our findings to similar ecosystems. In addition, this study presents opportunities for expansion to include other taxa (e.g., macroinvertebrates and fish) to gain a comprehensive understanding of the driving mechanisms behind stream biodiversity.

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Drivers of β-diversity and its component-dependence along the natural restoration in an extremely heterogeneous forest ecosystem

Wu,

Yang,

Chen

et al. 2024

CATENA

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Functional and taxonomic beta diversity of butterfly assemblages in an archipelago: relative importance of island characteristics, climate, and spatial factors

Cited by 6 publications

References 72 publications

How Biodiversity, Climate and Landscape Drive Functional Redundancy of British Butterflies

How Biodiversity, Climate and Landscape Drive Functional Redundancy of British Butterflies

Different facets of alpha and beta diversity of benthic diatoms along stream watercourse in a large near‐natural catchment

Drivers of β-diversity and its component-dependence along the natural restoration in an extremely heterogeneous forest ecosystem

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