Does conversion from natural forest to plantation affect fungal and bacterial biodiversity, community structure, and co-occurrence networks in the organic horizon and mineral soil?

Nakayama, Masataka; Imamura, Shihomi; Taniguchi, Takeshi; Tateno, Ryunosuke

doi:10.1016/j.foreco.2019.05.042

Cited by 84 publications

(48 citation statements)

References 93 publications

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“…The change in tree species after selective logging may also influence microbial community structure in the soil (Nakayama et al, 2019). P. yunnannesis and A. nepalensis, the two most common species in a P. yunnanensis forest, have abundant ectomycorrhizal fungi and rhizobium bacteria in their rhizospheres, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Loss in microbial diversity is likely to reduce this multifunctionality in terrestrial ecosystems, thereby impacting ecosystem functions and services (Delgado-Baquerizo et al, 2016). Soil fungi primarily decompose recalcitrant organic materials (Baraloto et al, 2012) such as plant litter, while bacteria primarily decompose relatively labile organic matter (Nakayama, Imamura, Taniguchi, & Tateno, 2019). The diversity and composition of soil microbial communities vary widely across temporal and spatial scales in terrestrial ecosystems.…”

Section: Introductionmentioning

confidence: 99%

“…The diversity and composition of soil microbial communities vary widely across temporal and spatial scales in terrestrial ecosystems. Many biotic and abiotic factors affect the soil microbial community, including soil pH (Cui, Wang, Xu, Xu, & Xu, 2017;Delgado-Baquerizo, Oliverio, et al, 2018;Lauber, Hamady, Knight, & Fierer, 2009;Lucas-Borja et al, 2012;Tripathi et al, 2013), soil organic carbon (Li et al, 2018), soil nitrogen, phosphorus, and potassium (Liu, Jin, et al, 2019;Zhu, Wang, Chen, Li, & Wu, 2019), the soil C:N ratio (Nakayama et al, 2019;Wang et al, 2015), soil moisture (Xue, Ren, Li, Leng, & Yao, 2017), climate (Delgado-Baquerizo et al, 2016;Jing et al, 2015), and aboveground vegetation traits (e.g., plant cover and diversity) (Delgado-Baquerizo et al, 2019;Guo et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Land-use type and management can be primary factors that directly affect soil microbial communities or can indirectly affect communities through biotic and abiotic factors (Courtney, Harris, & Pawlett, 2014;Li et al, 2018;Nakayama et al, 2019;Tripathi et al, 2016;Xue et al, 2017;Yang et al, 2019). As major anthropogenic disturbances, such as selective logging can definitively affect ecosystem multifunctionality (Delgado-Baquerizo et al, 2016;Lee-Cruz, Edwards, Tripathi, & Adams, 2013;Song, Ren, Jia, Guo, & Zhang, 2015), the effects of such practices on the microbial community require more attentions for effective forest management.…”

Section: Introductionmentioning

confidence: 99%

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Effect of selective logging on soil microbial communities in a Pinus yunnanensis forest

Huang

Lang

et al. 2020

Land Degrad Dev

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Selective logging strongly affects forest structure and functions, which has direct and indirect effects on the soil microbial community. However, the effect of selective logging on soil microbial community composition remains unclear. We analyzed the soil microbial diversity and community composition in a pine (Pinus yunnanensis) forest using the Illumina platform for bacterial and fungal sequencing. The results showed that selective logging significantly altered most soil properties and stand attributes. Dominant phyla abundance varied significantly with change of selective logging intensity, affecting soil microbial community composition. The diversity of bacterial community decreased with the increase of selective logging intensity, whereas the diversity of fungi initially decreased and then increased. Soil properties accounted for most of the variation in the soil microbial communities, followed by stand attributes. Stand density (SD), soil pH, and soil moisture directly influenced the diversity of the bacterial communities, and understory species richness (USR), soil organic carbon (SOC), and soil hydrolysable nitrogen (HN) also directly influenced bacterial community composition. However, selective logging intensity affected the diversity and composition of the bacterial communities indirectly via SD, soil pH, HN, SOC, and USR. Similarly, the intensity of selective logging directly affected the diversity of fungal communities and also showed indirect effect on it via SD, soil pH, SOC, HN, C:N ratio, and soil available potassium. Further, selective logging intensity indirectly affected fungal community composition via soil available phosphorus. Our findings could be used to predict the change in the soil microbial community for the management of P. yunnanensis forest.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of selective logging on soil microbial communities in a Pinus yunnanensis forest

Huang

Lang

et al. 2020

Land Degrad Dev

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“…In addition to these direct interactions between the host tree and ECM fungus, environments that the host tree generates (e.g. soil properties) [44,45], or the interaction with other organisms under particular host species such as soil bacteria or fungus, might generate different ECM compositions among host tree species [46].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of host effects on ectomycorrhizal fungal community compositions in a forested landscape in northern Japan

et al. 2020

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Community compositions of ectomycorrhizal (ECM) fungi are similar within the same host taxa. However, careful interpretation is required to determine whether the combination of ECM fungi and plants is explained by the host preference for ECM fungi, or by the influence of neighbouring heterospecific hosts. In the present study, we aimed to evaluate the effects of host species on the ECM community compositions in a forested landscape (approx. 10 km) where monodominant forest stands of six ECM host species belonging to three families were patchily distributed. A total of 180 ECM operational taxonomic units (OTUs) were detected with DNA metabarcoding. Quantitative multivariate analyses revealed that the ECM community compositions were primarily structured by host species and families, regardless of the soil environments and spatial arrangements of the sampling plots. In addition, 38 ECM OTUs were only detected from particular host tree species. Furthermore, the neighbouring plots harboured similar fungal compositions, although the host species were different. The relative effect of the spatial factors on the ECM compositions was weaker than that of host species. Our results suggest that the host preference for ECM fungi is the primary determinant of ECM fungal compositions in the forested landscape.

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A global meta‐analysis of indicators for assessing forest soil quality through comparison between paired plantations versus natural forests

et al. 2022

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Soil quality is defined as the capacity of soil to sustain biological productivity and healthy environments. More than 30 physical, chemical, and microbial properties have been used to assess soil quality status. However, using specific properties to represent forest soil quality remains ambiguous. Here, we conducted a meta-analysis of paired natural and plantation forests using 104 articles and 26 soil indices to evaluate soil quality indicators. Principal component analysis (PCA) and correlation analysis were used to choose a minimum dataset (MDS) of soil quality indicators. Significant differences in 16 indices of soil properties, including 1 physical, 5 chemical and 10 microbial properties, were found between soils in natural versus plantation forests. The PCA and correlation analysis indicated that 7 indices, including total carbon (C) and nitrogen (N), microbial biomass C (MBC) and N (MBN), fungal biomass, bacterial biomass, and hydrolytic enzymes, can be used to establish an MDS that explains 76.8% of the data variation. Based on the MDS, total C and N, MBC, MBN, fungal biomass, bacterial biomass and hydrolytic enzymes contribute 17.9%, 14.9%, 22.2%, 16.7%, 15.2%, 8.3%, and 4.8% to the soil quality, respectively. The climate, stand age and tree species affect the intensity of variation in these 7 soil indicators, not the variation direction of these soil indicators. Our study indicates that soil C and N values and microbial properties are important forest soil quality indicators and that the intensity of variation in these soil indicators depends on the climate, stand age and tree species planted.

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Does conversion from natural forest to plantation affect fungal and bacterial biodiversity, community structure, and co-occurrence networks in the organic horizon and mineral soil?

Cited by 84 publications

References 93 publications

Effect of selective logging on soil microbial communities in a Pinus yunnanensis forest

Effect of selective logging on soil microbial communities in a Pinus yunnanensis forest

Evaluation of host effects on ectomycorrhizal fungal community compositions in a forested landscape in northern Japan

A global meta‐analysis of indicators for assessing forest soil quality through comparison between paired plantations versus natural forests

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