Mycorrhizal types regulate tree spatial associations in temperate forests: ectomycorrhizal trees might favor species coexistence
Data files
Oct 09, 2024 version files 84 KB
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Guild_level_data_source.xlsx
32.88 KB
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README.md
9.06 KB
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Species_level_data_source.xlsx
42.06 KB
Abstract
In temperate mixed forests, dominant ectomycorrhizal (EM) tree species usually coexist with diverse arbuscular mycorrhizal (AM) understorey tree species. Here we investigated the spatial associations between AM and EM trees in two > 20 ha temperate forest mega-plots to better understand the observed “EM-dominant vs. AM-diverse” coexistence. Overall, we found that positive spatial associations (e.g., facilitation) were mostly related to EM trees, while negative spatial associations (e.g., inhibition) were mainly related to AM trees. Because adult EM trees tended to facilitate surrounding AM and EM saplings and other EM adults in these two forests, facilitation hotspots that stabilize AM-EM tree coexistence should be centered around EM tree species rather than around AM tree species. Together, despite some species-specific variation, we propose a novel EM-stabilization mechanism, which emphasizes how EM tree species foster “EM-dominant vs. AM-diverse” coexistence in temperate mixed forests by facilitating other trees.
General information
- Persistent Identifier: https://doi.org/10.5061/dryad.t4b8gtj93
- Dataset Creators: Zikun Mao, Thorsten Wiegand, Adriana Corrales, Shuai Fang, Zhanqing Hao, Fei Lin, Ji Ye, Zuoqiang Yuan, Xugao Wang
- License: Use of these data is covered by the following license:
- Title: CC0 1.0 Universal (CC0 1.0)
- Specification: https://creativecommons.org/publicdomain/zero/1.0/; the authors respectfully request to be contacted by researchers interested in the re-use of these data so that the possibility of collaboration can be discussed.
- Suggested Citations:
- Dataset citation:
Mao Z, Wiegand T, Corrales A, Fang S, Hao Z, Lin F, Ye J, Yuan Z, Wang X. 2024. Mycorrhizal types regulate tree spatial associations in temperate forests: ectomycorrhizal trees might favor species coexistence. Dryad, Dataset, https://doi.org/10.5061/dryad.t4b8gtj93.
- Corresponding publication:
Mao Z, Wiegand T, Corrales A, Fang S, Hao Z, Lin F, Ye J, Yuan Z, Wang X. 2024. Mycorrhizal types regulate tree spatial associations in temperate forests: ectomycorrhizal trees might favor species coexistence. Ecology Letters.
- Dataset citation:
Contact Information
- Name: Zikun Mao
- Affiliations: CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China
- ORCID ID: https://orcid.org/0000-0002-7035-9129
- Email: maozikun@iae.ac.cn
- Alternate Email: maozikun15@mails.ucas.ac.cn
- Alternate Email 2: maozikun15@126.com
- Alternative Contact Name: Xugao Wang
- Affiliations: CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China
- ORCID ID: https://orcid.org/0000-0003-1207-8852
- Email: wangxg@iae.ac.cn
Data and File Overview
Summary Metrics
- File count: 5
- Total file size: 155 KB
- Range of individual file sizes: 19 KB - 41 KB
- File formats: .RData, .R, .xlsx
Table of Contents
- Guild-level data source.xlsx
- Species-level data source.xlsx
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- Data source to run the R code.RData
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- Guild-level analysis.R
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- Species-level analysis.R
Note:
- The spatial association analysis with the raw census dataset was conducted using the Programita software.
- Because the raw census data was protected by the ForestGEO network and the data analysis processes with the Programita software were hard to display, we can only share the dataset and code to reproduce our results after the spatial association analysis.
- If there are any question about the spatial association analysis processes, please contact us via Email: maozikun@iae.ac.cn.
- Also, these files only show the results shown in the main text (i.e., Figures 1, 2, and 3). For other datasets to produce the supplementary results shown in the Supporting Information, please contact us via Email: maozikun@iae.ac.cn.
Setup
- Recommended software/tools: R version 4.0.2 for .RData and .R files; Microsoft Office EXCEL 2013 for .xlsx files.
- Relationship between data files
- To run the R codes in the two .R files, you need to first open the R software and then load the R workspace “1. Data source to run the R code.RData”.
- The .RData file “1. Data source to run the R code.RData” contains all the datasets in the two .xlsx files.
File/Folder Details
Details for: Guild level data source.xlsx
- Description: a .xlsx file containing all the guild-level spatial association results for the CBS-1 and CBS-2 plots.
- Format(s): .xlsx
- Size(s): 32 KB
- Contents: 4 sheets
- Description for each sheet:
- Article information: listing the article title, authors, and journal name
- Column name: listing and explaining each column name in this dataset
- CBS-1 plot: the guild-level result of the CBS-1 plot
- CBS-2 plot: the guild-level result of the CBS-2 plot
- Note: please see the sheet “Column name” in this .xlsx file for the explanation of each column
Details for: Species-level data source.xlsx
- Description: a .xlsx file showing the species-level spatial association results based on the pair-correlation function g for all species with abundance > 50 in CBS-1 and CBS-2 plots.
- Format(s): .xlsx
- Size(s): 41 KB
- Contents: 6 sheets
- Description for each sheet:
- Article information: listing the article title, authors, and journal name
- Column name: listing and explaining each column name in this dataset
- Con_CBS-1 plot: the conspecific species-level result of the CBS-1 plot using the multi-threshold (for tree size classification) and combine-replicate (for spatial association analysis) methods (see Supporting Method for details)
- Con_CBS-2 plot: the conspecific species-level result of the CBS-2 plot using the multi-threshold (for tree size classification) and combine-replicate (for spatial association analysis) methods (see Supporting Method for details)
- Inter_CBS-1 plot: the interspecific species-level result of the CBS-1 plot using the multi-threshold (for tree size classification) and combine-replicate (for spatial association analysis) methods (see Supporting Method for details)
- Inter_CBS-2 plot: the interspecific species-level result of the CBS-2 plot using the multi-threshold (for tree size classification) and combine-replicate (for spatial association analysis) methods (see Supporting Method for details)
- Note: please see the sheet “Column name” in this .xlsx file for the explanation of each column
Details for: 1. Data source to run the R code.RData
- General description: a .RData file containing all necessary datasets to run the guild-level and species-level analysis listed in “2. Guild level analysis.R” and “3. Species-level analysis.R”, respectively.
- Format(s): .RData
- Size(s): 28 KB
- Contains: 6 datasets
- Description for the 6 datasets:
- Running “ls()” in the R software to see the names of these 6 datasets
- The names of these 10 datasets are: “Guild_CBS1”, “Guild_CBS2”, “Species_replicate_Con_CBS1”, “Species_replicate_Con_CBS2”, “Species_replicate_Inter_CBS1”, “Species_replicate_Inter_CBS2”
- Guild_CBS1: R data with “data.frame” format; the guild-level results for the CBS-1 plot, the same as the dataset in the sheet “CBS-1 plot” in the xlsx file “Guild level data source.xlsx”
- Guild_CBS2: R data with “data.frame” format; the guild-level results for the CBS-2 plot, the same as the dataset in the sheet “CBS-2 plot” in the xlsx file “Guild level data source.xlsx”
- Species_replicate_Con_CBS1: R data with “data.frame” format; the conspecific species-level results for the CBS-1 plot, the same as the dataset in the sheet “Con_CBS-1 plot” in the xlsx file “Species level data source.xlsx”
- Species_replicate_Con_CBS2: R data with “data.frame” format; the conspecific species-level results for the CBS-2 plot, the same as the dataset in the sheet “Con_CBS-2 plot” in the xlsx file “Species level data source.xlsx”
- Species_replicate_Inter_CBS1: R data with “data.frame” format; the interspecific species-level results for the CBS-1 plot, the same as the dataset in the sheet “Inter_CBS-1 plot” in the xlsx file “Species level data source.xlsx”
- Species_replicate_Inter_CBS2: R data with “data.frame” format; the interspecific species-level results for the CBS-2 plot, the same as the dataset in the sheet “Inter_CBS-2 plot” in the xlsx file “Species level data source.xlsx”
Details for: 2. Guild level analysis.R
- Description: a .R file containing all codes to reproduce our guild-level results shown in Figure 1 (and S5) in the manuscript.
- Format(s): .R
- Size(s): 19 KB
- Note:
- Please open this file using R software
- All necessary explanations for the code meaning can be found in the text after the “#” label in this .R file
Details for: 3. Species level analysis.R
- Description: a .R file containing all codes to reproduce our species-level results shown in Figures 2 and 3 in the manuscript.
- Format(s): .R
- Size(s): 26 KB
- Note:
- Please open this file using R software
- All necessary explanations for the code meaning can be found in the text after the “#” label in this .R file
- Access Information
- To generate these results, we used the raw census data of the ForestGEO network, which can only be shared on request because the PIs have not made them publicly available.
- Forest census data from the ForestGEO data portal can be obtained by filling out the online Data Request Form (http://ctfs.si.edu/datarequest/index.php/main/plotdata).