Temporal β-diversity of zooplankton at various time scales in a small mountain lake

Perera, Ishara; Maruoka, Natsumi; Makino, Wataru; Urabe, Jotaro

doi:10.1007/s10201-020-00637-9

Cited by 9 publications

(3 citation statements)

References 51 publications

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“…As sampling frequency varied among reservoirs, we defined our community structures based on annual averages. But as zooplankton community structure varies seasonally (Burns & Mitchell, 1980; Yoshida et al, 2001; Perera et al, 2021), the inclusion of seasonality may increase the resolution of the analysis when examining the relative importance between the effects of environmental and spatial variables on community structure. Another potential shortfall of our study is that we analyzed zooplankton communities using binary data, possibly causing us to miss some important factors affecting zooplankton structure.…”

Section: Discussionmentioning

confidence: 99%

Differences in factors determining taxon-based and trait-based community structures: a field test using zooplankton

Suzuki,

Ichiyanagi,

Kass

et al. 2024

Preprint

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Ecological community structure, which has traditionally been described in terms of taxonomic units, is driven by a combination of dispersal and environmental filters. Traits have recently been recognized as alternative units for quantifying community parameters, but they may have important differences with taxonomic units. For example, as taxon-based community structures are determined by the identities of individual species, they may be more limited by species' dispersal constraints, whereas trait-based community structures may be more regulated by environmental conditions because functional traits should have stronger linkages to habitat types rather than their specific locations. This suggests that the relative importance of dispersal and environmental filters may vary depending on the units employed to define community structure, yet how the contributions of these filters compare remains unclear. Zooplankton in lakes and reservoirs are an ideal system for examining the relative importance of these filters as they have moderate dispersal ability and inhabit communities in isolated habitats. In this study, we examined zooplankton assemblages in 87 artificial reservoirs throughout the Japanese archipelago to test the hypothesis that environmental filters play a more dominant role in determining trait-based community structures than taxon-based structures. To describe trait-based communities, we categorized zooplankton taxa into 12 functional groups using ecologically meaningful traits, including body size, feeding habits and mode, and population growth rate. We then examined the effects of both spatial configuration (reflecting dispersal filters) and environmental variables such as reservoir size and depth, trophic conditions, and fish assemblages for taxon- and trait-based community structures. Although variation in the taxon-based structure was explained equally well by spatial and environmental variables, variation in the trait-based structure explained by environmental variables was nearly twice that of spatial variables. These results support the idea that environmental filters play a more central role in determining trait-based community structures, and show that the relative importance of spatial and environmental filters changes with the way we define community structure.

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Section: Discussionmentioning

confidence: 99%

Differences in factors determining taxon-based and trait-based community structures: a field test using zooplankton

Suzuki,

Ichiyanagi,

Kass

et al. 2024

Preprint

Self Cite

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“…Our framework allows merging spatial and temporal dynamics within the same connectivity value, while being adaptable to different temporal windows, monitoring studies and systems (e.g. months or years with datasets like Mouton et al, 2022; Perera et al, 2020; Ridl et al, 2018). In addition, the framework can incorporate non‐binary connections based on, for example, distances, resistance (e.g.…”

Section: Discussionmentioning

confidence: 99%

Navigating through space and time: A methodological approach to quantify spatiotemporal connectivity using stream flow data as a case study

Cunillera‐Montcusí

Fernández-Calero

Pölsterl³

et al. 2023

Methods Ecol Evol

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1. The growing interest in combining spatial and temporal patterns in nature has been fostered by the current availability of high-frequency measurements. However, we still lack a methodological framework to process and interpret spatiotemporal datasets into meaningful values, adaptable to different time windows and/or responding to different spatial structures. Here, we developed and tested a framework to evaluate spatiotemporal connectivity using two new measures: the spatiotemporal connectivity (STcon) and the spatiotemporal connectivity matrix (STconmat).2. To obtain these measures, we consider a set of spatially connected sites within a temporally dynamic network. These measures are calculated from a spatiotemporal matrix where spatial and temporal connections across sites are captured.These connections respond to a determined network structure, assign different values to these connections and generate different scenarios from which we obtain the spatiotemporal connectivity. We developed these measures by using a dataset of stream flow state spanning a 513-day period obtained from data loggers installed in seven temporary streams. These measures allowed us to characterise connectivity among stream reaches and relate spatiotemporal patterns with macroinvertebrate community structure and composition. Spatiotemporal connectivity differed within and among streams, with STconand STconmat capturing different hydrological patterns. Macroinvertebrate richness and diversity were higher in more spatiotemporally connected sites.

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“…The lake is approximately 550 m a.s.l. and has a surface area of 0.19 km 2 with a maximum depth of 8 m (Ohtsuki et al., 2015; Perera et al., 2021). The lake is mesotrophic, dimictic and has an ice cover from late December to March.…”

Section: Methodsmentioning

confidence: 99%

To lose is to win: Long‐term co‐occurrence of two asexual populations realized by a dormant strategy of the inferior competitor

Maruoka,

Yamaki,

Makino

et al. 2024

Functional Ecology

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Asexual organisms are ubiquitous. While being members of a single species with the same ecological requirements, multiple asexual genotypes within a species are often found in a single habitat. Niche partitioning in time and space among genotypes has been proposed to explain this phenomenon. However, it is not clear whether these different genotypes co‐occur in the long term. Therefore, we examined the population dynamics of two asexual Daphnia cf. pulex genotypes (JPN1 and JPN2) over 9 years in a small mountain lake. These two genotypes consistently occurred in the same seasons and layers, suggesting that niche partitioning cannot explain their long‐term co‐occurrence. The abundance of JPN1 was typically higher in most years. However, the abundance of dormant eggs in lake sediments was at the same level between the genotypes. Results of a laboratory experiment showed that JPN1 competitively excluded JPN2. However, many JPN2 individuals produced dormant eggs before JPN1 competitively excluded them from the experiment. Furthermore, the competitively inferior JPN2 produced dormant eggs abundantly in the medium containing a crowding cue from JPN1 while no such trend was observed for JPN1. These results showed that a competitively inferior asexual genotype could maintain a population with a competitively superior genotype for a long period of time because it had the ability to detect an increase in competitors and produce dormant eggs each year before being competitively eliminated. Based on these results, we suggest that the variation in genotype‐specific response in dormant egg production to environmental change plays a key role in the long‐term co‐occurrence of different asexual genotypes in single habitats. Read the free Plain Language Summary for this article on the Journal blog.

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Temporal β-diversity of zooplankton at various time scales in a small mountain lake

Cited by 9 publications

References 51 publications

Differences in factors determining taxon-based and trait-based community structures: a field test using zooplankton

Differences in factors determining taxon-based and trait-based community structures: a field test using zooplankton

Navigating through space and time: A methodological approach to quantify spatiotemporal connectivity using stream flow data as a case study

To lose is to win: Long‐term co‐occurrence of two asexual populations realized by a dormant strategy of the inferior competitor

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