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Nutrient availability and invader density regulate the diversity–invasibility relationship mediated by soil microbes Li, Haokun; Deng, Yizhuo; Zhang, Shuwei; Greenberg, Jeremy; Chen, Danli; Song, Xiulin; Geng, Xinze; Zhuge, Yanhui; Li, Chongwei; Ni, Guangyan; Hou, Yuping
Description
Abstract
This dataset accompanies a study examining how native plant diversity, nutrient availability, and invader density interact to influence the growth of the invasive plant Phytolacca americana via soil microbial mechanisms in a temperate forest ecosystem. The dataset includes (1) aboveground biomass data of P. americana grown in soils conditioned by varying native plant diversity levels (1, 3, or 6 species), under different nutrient conditions (fertilized vs. non-fertilized) and invader planting densities (1, 2, or 4 individuals); and (2) soil fungal community data derived from high-throughput sequencing, including taxonomic profiles (from phylum to genus) and functional classifications assigned using FUNGuild (e.g., saprotrophs, pathogens, symbionts). These data support analyses of how plant–soil feedbacks and soil microbial composition mediate invasion success, and are valuable for researchers in the fields of invasion ecology, soil microbiology, and plant–microbe interactions.
Item Metadata
| Title |
Nutrient availability and invader density regulate the diversity–invasibility relationship mediated by soil microbes
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| Creator | |
| Date Issued |
2025-07-24
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| Description |
Abstract
This dataset accompanies a study examining how native plant diversity, nutrient availability, and invader density interact to influence the growth of the invasive plant Phytolacca americana via soil microbial mechanisms in a temperate forest ecosystem. The dataset includes (1) aboveground biomass data of P. americana grown in soils conditioned by varying native plant diversity levels (1, 3, or 6 species), under different nutrient conditions (fertilized vs. non-fertilized) and invader planting densities (1, 2, or 4 individuals); and (2) soil fungal community data derived from high-throughput sequencing, including taxonomic profiles (from phylum to genus) and functional classifications assigned using FUNGuild (e.g., saprotrophs, pathogens, symbionts). These data support analyses of how plant–soil feedbacks and soil microbial composition mediate invasion success, and are valuable for researchers in the fields of invasion ecology, soil microbiology, and plant–microbe interactions. |
| Subject | |
| Type | |
| Notes |
Dryad version number: 4 Version status: submitted Dryad curation status: Published Sharing link: http://datadryad.org/dataset/doi:10.5061/dryad.1ns1rn95g</p> Storage size: 538613 Visibility: public |
| Date Available |
2025-07-23
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| Provider |
University of British Columbia Library
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| License |
CC0 1.0
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| DOI |
10.14288/1.0449478
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| URI | |
| Publisher DOI | |
| Grant Funding Agency |
National Natural Science Foundation of China; Natural Science Foundation of Shandong Province; Fundamental Research Projects of the Science & Technology Innovation and Development Plan in Yantai City
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| Rights URI | |
| Aggregated Source Repository |
Dataverse
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License
CC0 1.0