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Zhu H, Gong L, Luo Y, Tang J, Ding Z, Li X. Effects of Litter and Root Manipulations on Soil Bacterial and Fungal Community Structure and Function in a Schrenk's Spruce ( Picea schrenkiana) Forest. FRONTIERS IN PLANT SCIENCE 2022; 13:849483. [PMID: 35498706 PMCID: PMC9047989 DOI: 10.3389/fpls.2022.849483] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 03/24/2022] [Indexed: 06/14/2023]
Abstract
Soil microorganisms are the key driver of the geochemical cycle in forest ecosystem. Changes in litter and roots can affect soil microbial activities and nutrient cycling; however, the impact of this change on soil microbial community composition and function remain unclear. Here, we explored the effects of litter and root manipulations [control (CK), doubled litter input (DL), litter removal (NL), root exclusion (NR), and a combination of litter removal and root exclusion (NI)] on soil bacterial and fungal communities and functional groups during a 2-year field experiment, using illumina HiSeq sequencing coupled with the function prediction platform of PICRUSt and FUNGuild. Our results showed that litter and root removal decreased the diversity of soil bacteria and fungi (AEC, Shannon, and Chao1). The bacterial communities under different treatments were dominated by the phyla Proteobacteria, Acidobacteria, and Actinomycetes, and NL and NR reduced the relative abundance of the first two phyla. For the fungal communities, Basidiomycetes, Ascomycota, and Mortierellomycota were the dominant phyla. DL increased the relative abundance of Basidiomycetes, while NL and NR decreased the relative abundance of Ascomycota. We also found that litter and root manipulations altered the functional groups related to the metabolism of cofactors and vitamins, lipid metabolism, biosynthesis of other secondary metabolites, environmental adaptation, cell growth, and death. The functional groups including ectomycorrhizal, ectomycorrhizal-orchid mycorrhizal root-associated biotrophs and soil saprotrophs in the fungal community were also different among the different treatments. Soil organic carbon (SOC), pH, and soil water content are important factors driving changes in bacterial and fungal communities, respectively. Our results demonstrate that the changes in plant detritus altered the soil microbial community structure and function by affecting soil physicochemical factors, which provides important data for understanding the material cycle of forest ecosystems under global change.
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Affiliation(s)
- Haiqiang Zhu
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Ministry of Education, Urumqi, China
- Ecological Postdoctoral Research Station, Xinjiang University, Urumqi, China
| | - Lu Gong
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Ministry of Education, Urumqi, China
| | - Yan Luo
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Ministry of Education, Urumqi, China
| | - Junhu Tang
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Ministry of Education, Urumqi, China
| | - Zhaolong Ding
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Ministry of Education, Urumqi, China
| | - Xiaochen Li
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Ministry of Education, Urumqi, China
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Koldasbayeva D, Tregubova P, Shadrin D, Gasanov M, Pukalchik M. Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data. Sci Rep 2022; 12:6128. [PMID: 35414080 PMCID: PMC9005721 DOI: 10.1038/s41598-022-09953-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 03/30/2022] [Indexed: 01/18/2023] Open
Abstract
This research aims to establish the possible habitat suitability of Heracleum sosnowskyi (HS), one of the most aggressive invasive plants, in current and future climate conditions across the territory of the European part of Russia. We utilised a species distribution modelling framework using publicly available data of plant occurrence collected in citizen science projects (CSP). Climatic variables and soil characteristics were considered to follow possible dependencies with environmental factors. We applied Random Forest to classify the study area. We addressed the problem of sampling bias in CSP data by optimising the sampling size and implementing a spatial cross-validation scheme. According to the Random Forest model built on the finally selected data shape, more than half of the studied territory in the current climate corresponds to a suitability prediction score higher than 0.25. The forecast of habitat suitability in future climate was highly similar for all climate models. Almost the whole studied territory showed the possibility for spread with an average suitability score of 0.4. The mean temperature of the wettest quarter and precipitation of wettest month demonstrated the highest influence on the HS distribution. Thus, currently, the whole study area, excluding the north, may be considered as s territory with a high risk of HS spreading, while in the future suitable locations for the HS habitat will include high latitudes. We showed that chosen geodata pre-processing, and cross-validation based on geospatial blocks reduced significantly the sampling bias. Obtained predictions could help to assess the risks accompanying the studied plant invasion capturing the patterns of the spread, and can be used for the conservation actions planning.
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Affiliation(s)
- Diana Koldasbayeva
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russian Federation, 121205.
| | - Polina Tregubova
- RAIC, Skolkovo Institute of Science and Technology, Moscow, Russian Federation, 121205
| | - Dmitrii Shadrin
- RAIC, Skolkovo Institute of Science and Technology, Moscow, Russian Federation, 121205.,Irkutsk National Research Technical University, Irkutsk, Russian Federation, 664074
| | - Mikhail Gasanov
- RAIC, Skolkovo Institute of Science and Technology, Moscow, Russian Federation, 121205
| | - Maria Pukalchik
- Digital Agriculture Laboratory, Skolkovo Institute of Science and Technology, Moscow, Russian Federation, 121205
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