Shi-Kun Guo’s research while affiliated with Key Laboratory of Zoological Systematics and Evolution, Chinese Academy of Sciences and other places

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Publications (7)


Multi-dimensionality of tree communities structure host-parasitoid networks and their phylogenetic composition
  • Preprint
  • File available

February 2025

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97 Reads

Ming-Qiang Wang

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Shi-Kun Guo

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Peng-Fei Guo

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[...]

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Environmental factors can influence ecological networks, but these effects are poorly understood in the realm of the phylogeny of host-parasitoid interactions. Especially, we lack a comprehensive understanding of the ways that biotic factors, including plant species richness, overall community phylogenetic and functional composition of consumers, and abiotic factors such as microclimate, determining host–parasitoid network structure and host–parasitoid community dynamics. To address this, we leveraged a five-year dataset of trap-nesting bees and wasps and their parasitoids collected in a highly-controlled, large-scale subtropical tree biodiversity experiment. We tested for effects of tree species richness, tree phylogenetic and functional diversity, and species and phylogenetic composition on species and phylogenetic diversity of both host and parasitoid communities and the composition of their interaction networks. We show that multiple components of tree diversity and canopy cover impacted both, species and phylogenetic composition of hosts and parasitoids. Generally, phylogenetic associations between hosts and parasitoids reflected non-randomly structured interactions between phylogenetic trees of hosts and parasitoids. Further, host-parasitoid network structure was influenced by tree species richness, tree phylogenetic diversity, and canopy cover. Our study indicates that the composition of higher trophic levels and corresponding interaction networks are determined by plant diversity and canopy cover especially via trophic links in species-rich ecosystems.

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Multi-dimensionality of tree communities structure host-parasitoid networks and their phylogenetic composition

August 2024

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76 Reads

eLife

Environmental factors can influence ecological networks, but these effects are poorly understood in the realm of the phylogeny of host-parasitoid interactions. Especially, we lack a comprehensive understanding of the ways that biotic factors, including plant diversity, tree identity, genetic diversity, overall community composition of higher trophic levels, and abiotic factors such as microclimate, interact to determine host–parasitoid network structure and host–parasitoid community dynamics. To address this, we leveraged a five-year dataset of trap-nesting bees and wasps and their parasitoids collected in a highly-controlled, large-scale subtropical tree biodiversity experiment. We tested for effects of tree species richness, tree phylogenetic and functional diversity, and taxonomic and phylogenetic composition on taxonomic, phylogenetic, and network composition of both host and parasitoid communities. We show that multiple components of tree diversity, tree composition, and canopy cover impacted both, taxonomic and phylogenetic composition of hosts and parasitoids. Generally, top-down control was stronger than bottom-up control via phylogenetic association between hosts and parasitoids, reflecting non-randomly structured interactions between phylogenetic trees of hosts and parasitoids. Further, host-parasitoid network structure was influenced by tree species richness, tree phylogenetic diversity, and canopy cover. Our study indicates that the composition of higher trophic levels and corresponding interaction networks are determined by habitat structure and heterogeneity, which is maintained by trees and especially via phylogenetic links in species-rich ecosystems.


Fig. 1. Ordination plot of the non-metric multidimensional scaling (NMDS) analysis of (a) host taxonomic composition, (b) parasitoid taxonomic composition, (c) host phylogenetic composition, and (d) parasitoid phylogenetic composition across the study plots (filled circles) in the BEF-China experiment. Stress = 0.23, 0.23, 0.24 and 0.20, respectively. Arrows indicate significant (at p < 0.05) correlations of environmental variables with NMDS axis scores. Lengths of arrows are proportional to the strength of the correlations. Red crosses refer to the host or parasitoid species in each community. See Table S2-S5 in the Supplementary Material for abbreviations and statistical values.
Fig. 2. Dendrogram of phylogenetic congruence for the host species (below) and associated parasitoid species (above) recorded in the study. Each rectangle represents a different superfamily (for host species) or family (for parasitoid species). H1: Pompilidae H2: Apoidea H3: Vespidae; P1: Sarcophagidae P2: Phoridae P3: Bombyliidae P4: Trigonalyidae P5: Mutillidae P6: Megachilidae P7: Chrysididae P8: Ichneumonidae P9: Chalcidoidea. The trophic network of hosts and parasitoids was nonrandomly structured (parafit test: P = 0.032). Host and parasitoid species names are given in Fig. S3.
Fig. 3.
Multi-dimensionality of tree communities structure host-parasitoid networks and their phylogenetic composition

August 2024

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307 Reads

Environmental factors can influence ecological networks, but these effects are poorly understood in the realm of the phylogeny of host-parasitoid interactions. Especially, we lack a comprehensive understanding of the ways that biotic factors, including plant diversity, tree identity, genetic diversity, overall community composition of higher trophic levels, and abiotic factors such as microclimate, interact to determine host–parasitoid network structure and host–parasitoid community dynamics. To address this, we leveraged a five-year dataset of trap-nesting bees and wasps and their parasitoids collected in a highly-controlled, large-scale subtropical tree biodiversity experiment. We tested for effects of tree species richness, tree phylogenetic and functional diversity, and taxonomic and phylogenetic composition on taxonomic, phylogenetic, and network composition of both host and parasitoid communities. We show that multiple components of tree diversity, tree composition, and canopy cover impacted both, taxonomic and phylogenetic composition of hosts and parasitoids. Generally, top-down control was stronger than bottom-up control via phylogenetic association between hosts and parasitoids, reflecting non-randomly structured interactions between phylogenetic trees of hosts and parasitoids. Further, host-parasitoid network structure was influenced by tree species richness, tree phylogenetic diversity, and canopy cover. Our study indicates that the composition of higher trophic levels and corresponding interaction networks are determined by habitat structure and heterogeneity, which is maintained by trees and especially via phylogenetic links in species-rich ecosystems.


Multi-dimensionality of tree communities structure host-parasitoid networks and their phylogenetic composition

June 2024

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331 Reads

Environmental factors can influence ecological networks, but these effects are poorly understood in the realm of the phylogeny of host-parasitoid interactions. Especially, we lack a comprehensive understanding of the ways that biotic factors, including plant diversity, tree identity, genetic diversity, overall community composition of higher trophic levels, and abiotic factors such as microclimate, interact to determine host–parasitoid network structure and host–parasitoid community dynamics. To address this, we leveraged a five-year dataset of trap-nesting bees and wasps and their parasitoids collected in a highly-controlled, large-scale subtropical tree biodiversity experiment. We tested for effects of tree species richness, tree phylogenetic and functional diversity, and taxonomic and phylogenetic composition on taxonomic, phylogenetic, and network composition of both host and parasitoid communities. We show that multiple components of tree diversity, tree composition, and canopy cover impacted both, taxonomic and phylogenetic composition of hosts and parasitoids. Generally, top-down control was stronger than bottom-up control via phylogenetic association between hosts and parasitoids, reflecting non-randomly structured interactions between phylogenetic trees of hosts and parasitoids. Further, host-parasitoid network structure was influenced by tree species richness, tree phylogenetic diversity, and canopy cover. Our study indicates that the composition of higher trophic levels and corresponding interaction networks are determined by habitat structure and heterogeneity, which is maintained by trees and especially via phylogenetic links in species-rich ecosystems.


Functional and phylogenetic relationships link predators to plant diversity via trophic and non-trophic pathways

January 2023

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491 Reads

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10 Citations

Human-induced biodiversity loss negatively affects ecosystem function, but the interactive effects of biodiversity change across trophic levels remain insufficiently understood. We sampled arboreal spiders and lepidopteran larvae across seasons in 2 years in a subtropical tree diversity experiment, and then disentangled the links between tree diversity and arthropod predator diversity by deconstructing the pathways among multiple components of diversity (taxonomic, phylogenetic and functional) with structural equation models. We found that herbivores were major mediators of plant species richness effects on abundance, species richness, functional and phylogenetic diversity of predators, while phylogenetic, functional and structural diversity of trees were also important mediators of this process. However, the strength and direction differed between functional, structural and phylogenetic diversity effects, indicating different underlying mechanisms for predator community assembly. Abundance and multiple diversity components of predators were consistently affected by tree functional diversity, indicating that the variation in structure and environment caused by plant functional composition might play key roles in predator community assembly. Our study highlights the importance of an integrated approach based on multiple biodiversity components in understanding the consequences of biodiversity loss in multitrophic communities.



Conceptual illustration of focal habitat patch and wider patch neighbourhood scale tree diversity at two different levels of tree diversity. Central squares with red text represent the focal plots from which caterpillars were sampled, and the other squares with black text represent neighbour plots. Tree species richness of focal plot and neighbourhood plots in (a) was 1 and 8 (i.e. 8 different tree species in total), and the neighbourhood plot density was 8 because all 8 neighbours have trees planted. Tree species richness of focal plot and neighbourhood plots in (b) was 4 and 8 (i.e. 8 different tree species in total), and the neighbourhood plot density was 5 because there are 5 neighbours who have trees planted.
Relationships between focal plot and neighbourhood plot tree richness and (a) herbivore species richness, (b) abundance, (c) functional diversity (FD) and (d) phylogenetic diversity (PD) of focal plots. Solid lines show significant effects (p ≤ 0.05); dashed lines show non‐significant relationships (p > 0.05), shaded areas around lines are 95% confidence bands. The axes are on a log2 scale for tree species richness and log scale for herbivore species richness and abundance.
Relationships between focal plot, neighbourhood plot and total tree phylogenetic diversity and (a) herbivore species richness, (b) abundance, (c) functional diversity (FD), (d) phylogenetic diversity (PD), (e) mean pairwise distance (MPD) and (f) mean nearest taxon distance (MNTD) of focal plots. Solid lines show significant effects (p ≤ 0.05); dashed lines show non‐significant relationships (p > 0.05), shaded areas around lines are 95% confidence bands. The axes are on a log scale for herbivore species richness and abundance.
Relationships between tree phylogenetic distance of focal plots and neighbour plots and (a) species richness, (b) abundance, (c) functional diversity (FD) and (d) phylogenetic diversity (PD) of herbivores in focal plots. Solid lines show significant effects (p ≤ 0.05); dashed lines show non‐significant relationships (p > 0.05), shaded areas around lines are 95% confidence bands. The axes are on a log scale for herbivore species richness and abundance.
Differential impacts on herbivore diversity and scale dependence of tree diversity in subtropical forests

December 2022

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432 Reads

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2 Citations

Plant diversity has been found to increase herbivore diversity, including abundance, species richness and phylogenetic diversity. However, it is yet to be established at which spatial scale these effects are strongest, because host finding and community assembly may be shaped by host diversity both in local habitat patches and at larger scales. Using arthropod herbivore data collected from a large biodiversity and ecosystem function experiment in China (BEF‐China), we analysed how habitat patch (individual study plots) and larger‐scale (surrounding study plots) tree diversity relates to species richness, abundance, functional diversity and phylogenetic diversity of herbivore assemblages on focal plants. Tree diversity of both the focal habitat patch and larger‐scale patch neighbourhood affected herbivore diversity patterns and host plant selection, with the effect being greater for the former. Furthermore, focal and neighbouring trees that are phylogenetically related were found more likely to share similar herbivores. Synthesis. By focusing on tree diversity effects of both the local habitat patch and wider patch neighbourhoods, our findings highlight the importance of considering additional scales to give a more nuanced understanding of the mechanisms underlying herbivore community structure and diversity patterns in species‐rich forests.

Citations (1)


... Our study did not analyze the relationship between predators of different taxonomic groups and predation rates, but existing literature indicates a correlation between them, which is dynamic (Zhang et al. 2014, Chen et al. 2023. For instance, nest predation rates are influenced by factors including predators with different hunting models, the degree of habitat fragmentation, nest characteristics, and the life history of birds (Zhang et al. 2014). ...

Reference:

Influence of environmental factors on predation rate for Bactrocera dorsalis on a tropical island
Functional and phylogenetic relationships link predators to plant diversity via trophic and non-trophic pathways