Inferring single- and multi-species distributional aggregation using quadrat sampling

Liao, Ziyan; Zhou, Jin; Shen, Tsung-Jen; Chen, Youhua

doi:10.1016/j.ecolind.2023.111085

Cited by 3 publications

(2 citation statements)

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“…We allow the regional abundance distribution to vary according to each of the following probability distributions: (1) relative abundance of each species followed a lognormal distribution for which the mean is fixed as 0 and the standard derivation is varied from 0.1 to 5; (2) relative abundance of 9 species followed a uniform distribution with a mean of 0.5 while the remaining one is allowed to vary from 0 to 1 (the original value before normalization thus is varied from 0.5 to 100); (3) a symmetric Dirichlet distribution, in which the only parameter is allowed to vary from 0.1 to 10. According to the introduction of previous studies (Liao et al, 2023), when the only parameter approaches zero, highly regional abundance variability is expected. As a comparison, the local spatial inertia parameter is always set to vary from 0 to 0.95, no matter what kind of regional abundance distribution model is used.…”

Section: Numerical Simulationsmentioning

confidence: 99%

“…However, in empirical systems, the compounding effect of regional abundance variability and local distributional inertia is usually not separable. A well-known example is the negative binomial distribution; when it is used to model multispecies distributional patterns in grids, the associated parameters are related to both regional species abundance distribution and local abundance variation between quadrats (Liao et al, 2023). Another well-known example is the additive partitioning of beta diversity; in both spatial and temporal senses, the underlying mechanisms usually interact.…”

Section: Introductionmentioning

confidence: 99%

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Additive partitioning of multispecies distributional aggregation of local assemblages

Wu,

Van Chung,

Shi

et al. 2024

Journal of Animal Ecology

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The distribution of species is not random in space. At the finest‐resolution spatial scale, that is, field sampling locations, distributional aggregation level of different species would be determined by various factors, for example spatial autocorrelation or environmental filtering. However, few studies have quantitatively measured the importance of these factors. In this study, inspired by the statistical properties of a Markov transition model, we propose a novel additive framework to partition local multispecies distributional aggregation levels for sequential sampling‐derived field biodiversity data. The framework partitions the spatial distributional aggregation of different species into two independent components: regional abundance variability and the local spatial inertia effect. Empirical studies from field amphibian surveys through line‐transect sampling in southwestern China (Minya Konka) and central‐southern Vietnam showed that local spatial inertia was always the dominant mechanism structuring the local occurrence and distributional aggregation of amphibians in the two regions with a latitudinal gradient from 1200 to nearly 4000 m. However, regional abundance variability is still nonnegligible in highly diverse tropical regions (i.e. Vietnam) where the altitude is not higher than 2000 m. In summary, we propose a novel framework that shows that the multispecies distributional aggregation level can be structured by two additive components. The two partitioned components could be theoretically independent. These findings are expected to deepen our understanding of the local community structure from the perspective of both spatial distribution and regional diversity patterns. The partitioning framework might have potential applications in field ecology and macroecology research.

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Section: Numerical Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Additive partitioning of multispecies distributional aggregation of local assemblages

Wu,

Van Chung,

Shi

et al. 2024

Journal of Animal Ecology

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Behavioral effects of polylactic acid microplastics on the tadpoles of Pelophylax nigromaculatus

Li,

Chen

2024

Ecotoxicology and Environmental Safety

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Distributional ecology: Opening new research windows by addressing aggregation‐related puzzles

Chen,

Shen

2024

Diversity and Distributions

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AimDistribution of species is one of the most elementary but fundamental biodiversity patterns, yet too many puzzles remain unsolved. In most cases, distribution of species is not random, but presents some degree of aggregation. Accordingly, the term ‘distributional aggregation’ is prevailingly used in ecology and evolutionary biology to reflect the non‐random distribution characteristic of species in space and time. However, its meanings are multiform and can be decomposed into a variety of components.LocationGlobal.MethodsIn this paper, through synthesizing historical literature and comparing relevant meanings of distributional aggregation under different contexts, we summarize the current statistical metrics in detecting and evaluating distributional aggregation that are suitable for different field‐survey methods, study models and sampling scales. In particular, we explore the concept under the multi‐species setting for which few conceptual advances and statistical methods have been developed.ResultsWe propose pure data dispersion and spatiotemporal proximity, as two basic components of distributional aggregation. We further explore three advanced components of distributional aggregation: orthogonal, hierarchical and parallel components that can simultaneously link sampling taxa, sampling sites and sampling methods.Main ConclusionsWe hope the systematic review can serve as a potentially useful primer to ecologists for better understanding and investigating complex and new distributional patterns of biological diversity. We further provide informative guides on developing new statistical methods and metrics. We also discuss useful simulation algorithms for generating diverse distributional aggregation patterns of species, aiming to help ecologists to test and compare the performance of different metrics related to diversity and distribution patterns of species.

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Inferring single- and multi-species distributional aggregation using quadrat sampling

Cited by 3 publications

References 30 publications

Additive partitioning of multispecies distributional aggregation of local assemblages

Additive partitioning of multispecies distributional aggregation of local assemblages

Behavioral effects of polylactic acid microplastics on the tadpoles of Pelophylax nigromaculatus

Distributional ecology: Opening new research windows by addressing aggregation‐related puzzles

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