Contrasting beta diversity of spiders, carabids, and ants at local and regional scales in a black soil region, northeast China

Gao, Meixiang; Guo, Yuxi; Liu, Jie; Liu, Jinwen; Adl, Sina M.; Wu, Donghui; Lu, Tingyu

doi:10.1007/s42832-020-0071-1

Cited by 5 publications

(4 citation statements)

References 73 publications

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“…The increase in diversity occurred despite a pattern of decreasing landscape‐level richness in relation to environmental heterogeneity. Likewise, we found different patterns for landscape‐level and patch‐level richness and diversity, similar to previous empirical research documenting contrasting biodiversity patterns at different scales (Chase & Leibold, 2002 ; Flohre et al., 2011 ; Gao et al., 2021 ; Hendrickx et al., 2007 ; Tello et al., 2015 ). Richness and diversity patterns at the patch level appear to be primarily related to overall landscape richness (Tscharntke et al., 2012 ) and the strength of mass effects resulting from spillover from neighboring patches (Leibold et al., 2004 ).…”

Section: Discussionsupporting

confidence: 90%

Effects of compositional heterogeneity and spatial autocorrelation on richness and diversity in simulated landscapes

Tardanico,

Hovestadt

2023

Ecology and Evolution

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Landscape structure plays a key role in mediating a variety of ecological processes affecting biodiversity patterns; however, its precise effects and the mechanisms underpinning them remain unclear. While the effects of landscape structure have been extensively investigated both empirically and theoretically from a metapopulation perspective, the effects of spatial structure at the landscape scale remain poorly explored from a metacommunity perspective. Here, we attempt to address this gap using a spatially explicit, individual‐based metacommunity model to explore the effects of landscape compositional heterogeneity and per se spatial configuration on diversity at the landscape and patch levels via their influence on long‐term community assembly processes. Our model simulates communities composed of species of annual, asexual organisms living, reproducing, dispersing, and competing within grid‐based, fractal landscapes that vary in their magnitude of spatial environmental heterogeneity and in their degree of spatial environmental autocorrelation. Communities are additionally subject to temporal environmental fluctuations and external immigration, allowing for turnover in community composition. We found that compositional heterogeneity and spatial autocorrelation had differing effects on richness, diversity, and the landscape and patch scales. Landscape‐level diversity was driven by community dissimilarity at the patch level and increased with greater heterogeneity, while landscape richness was largely the result of the short‐term accumulation of immigrants and decreased with greater compositional heterogeneity. Both richness and diversity decreased in variance with greater compositional heterogeneity, indicating a reduction in community turnover over time. Patch‐level richness and diversity patterns appeared to be driven by overall landscape richness and local mass effects, resulting in maximum patch‐level richness and diversity at moderate levels of compositional heterogeneity and high spatial autocorrelation.

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Section: Discussionsupporting

confidence: 90%

Effects of compositional heterogeneity and spatial autocorrelation on richness and diversity in simulated landscapes

Tardanico,

Hovestadt

2023

Ecology and Evolution

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“…Most ecological patterns and processes in nature are scale-dependent [22,39,94], meaning their community patterns and construction mechanisms could be different under different spatial scale conditions [95] and may be simultaneously controlled by processes from multiple scales [69,96]. Locally, pure spatial variables are important for regulating taxa composition, whereas spatially structured environmental factors contribute the most at the regional scale in northeast China [22]. Our results support the hypothesis that the effect of environmental processes on order turnover of soil fauna in East Asia is more important than that of neutral processes.…”

Section: Ecological Processes Of Soil Fauna Community Constructionmentioning

confidence: 99%

“…Biotic turnover pattern refers to the pattern of biotic composition divergence or biotic turnover among communities in different habitats along environmental gradients [18], and it provides considerable assistance for understanding and revealing the mechanisms of community construction, especially the coexistence and community pattern of species at large scales [19,20]. However, in contrast to α-diversity, the patterns of biological turnover have been inadequately studied [21], and measures of biotic turnover in previous studies are usually based on a single indicator [22] (either Jaccard's or Sørensen's indices or others). However, utilizing different methods to measure biotic turnover rates can better avoid the error caused by methods of measurement.…”

Section: Introductionmentioning

confidence: 99%

Environmental Effects on Taxonomic Turnover in Soil Fauna across Multiple Forest Ecosystems in East Asia

Zhang

Ding

et al. 2022

Insects

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The large-scale spatial variation in and causes of biotic turnover of soil fauna remain poorly understood. Analyses were conducted based on published data from 14 independent sampling sites across five forest ecosystems in East Asia. Jaccard and Sørensen’s indices were used to measure turnover rates in soil fauna orders. A redundancy analysis was used to investigate multiple environmental controls of the composition of soil fauna communities. The results showed that both Jaccard’s and Sørensen’s index increased significantly with increasing latitude difference. The environment explained 54.1%, 50.6%, 57.3% and 50.9% of the total variance, and spatial factors explained 13.8%, 15.9%, 21.0% and 12.6% of the total variance in the orders’ composition regarding overall, phytophagous, predatory and saprophagous fauna, respectively. In addition, climate factors in environmental processes were observed to have a stronger effect than soil factors on the orders’ turnover rates. Our results support the hypothesis that the effect of environment factors on soil animal taxa turnover is more important than the effect of spatial factors. Climatic factors explained more variation in the turnover of phytophagic fauna, but soil and environment factors equally explained the variation in the turnover of predatory fauna. This study provides evidence to support both environmental filtering and dispersal limitation hypotheses at the regional and population scales.

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“…Soil oribatid mites were investigated in paddy fields along MLYR, as they are the most abundant and diverse among the soil mesofauna [28]. Soil oribatid mites exist in various agricultural ecosystems with different environmental conditions and play an important role in decomposition processes and nutrient cycling [29,30]. Previous studies on soil fauna in paddy fields have focused on nematodes [31], earthworms [32][33][34], springtails [35], gastropods, and Coleoptera [36].…”

Section: Introductionmentioning

confidence: 99%

Preliminary Study on the Diversity of Soil Oribatid Mite (Acari: Oribatida) Community Reveals Both Longitudinal and Latitudinal Patterns in Paddy Fields along the Middle and Lower Reaches of Yangtze River, China

Sun,

Liu,

et al. 2023

Agronomy

Self Cite

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Soil biodiversity plays an important role in maintaining soil fertility and agricultural health. Exploring the patterns of soil fauna diversity across geographical gradients is a fundamental and crucial scientific topic for understanding the mechanisms of soil biodiversity in farmlands. However, the spatial pattern of soil fauna diversity across longitudinal gradients has received far less attention. In order to explore the longitudinal pattern (west to east) of the composition and diversity of the soil oribatid mite community in paddy fields along the middle and lower reaches of the Yangtze River (MLYR), an investigation was carried out in July 2021 at nine sites spanning a longitudinal range of 8.86° (906 km) in southeastern China. In total, 19 taxa and 2392 individuals were observed with a density of 1535.47/m2. Protoribates and Ceratozetes were the most dominant and widely distributed genera along MLYR. The distribution patterns of the richness, abundance, and diversity index were obvious across the longitudinal and latitudinal gradients. The longitudinal pattern showed a quadratic distribution of first increasing and then decreasing, while the latitudinal pattern showed an increasing pattern with the increase in latitude (unimodal pattern). The influence of latitude on the abundance of the soil oribatid mite community was greater than that of longitude, and the influence of longitude on richness and the corresponding diversity index was greater. The dominance index did not show a distribution pattern in the longitudinal and latitudinal directions, while the evenness index showed only the distribution pattern in the longitudinal direction, and the latitudinal pattern was not significant. The results of this study suggest that the diversity of the soil oribatid mite community along MLYR displays both longitudinal and latitudinal patterns in paddy fields. Moreover, we highlighted the importance of integrating longitudinal and latitudinal patterns into spatial patterns of the soil fauna community in farmlands at a regional scale.

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Contrasting beta diversity of spiders, carabids, and ants at local and regional scales in a black soil region, northeast China

Cited by 5 publications

References 73 publications

Effects of compositional heterogeneity and spatial autocorrelation on richness and diversity in simulated landscapes

Effects of compositional heterogeneity and spatial autocorrelation on richness and diversity in simulated landscapes

Environmental Effects on Taxonomic Turnover in Soil Fauna across Multiple Forest Ecosystems in East Asia

Preliminary Study on the Diversity of Soil Oribatid Mite (Acari: Oribatida) Community Reveals Both Longitudinal and Latitudinal Patterns in Paddy Fields along the Middle and Lower Reaches of Yangtze River, China

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