Data from: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest
Principal Investigator(s): View help for Principal Investigator(s) US Department of Agriculture; National Agricultural Library
Version: View help for Version V1
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Project Citation:
US Department of Agriculture, and National Agricultural Library. Data from: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-06-27. https://doi.org/10.3886/E250472V1
Project Description
Project Title:
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Data from: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest
Summary:
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The data set is collected to evaluate if two parasitoids (Spathius galinae and Tetrastichus planipennisi), introduced for biocontrol of the invasive emerald ash borer (EAB), Agrilus planipennis, into North America have established niche-partitioning, co-existing populations following their sequential or simultaneous field releases to 12 hard-wood forests located in Midwest and Northeast regions of the United States. Ash trees of various sizes (large, pole-size and saplings) were debarked meter by meter in early spring of 2019 (Michigan sites) or fall of 2019 (Northeast states: Connecticut, Massachusetts and New York). Detailed data collection procedures can be found in the associated publication in Biological Control.
Resources in this dataset:
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Michigan data. File Name: Michigan 2019-EAB Parasitoid Niche Partition-Raw.csvResource Description: Michigan DatasetResource Software Recommended: JMP,url: https://www.JMP.com
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Michigan data.
File Name: Michigan 2019-EAB Parasitoid Niche Partition-Raw.csv
Resource Description: Michigan Dataset
Resource Software Recommended: JMP,url: https://www.JMP.com
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Northeast states data. File Name: NE Dataset 2019-EAB Parasitoid Niche Partition-Raw.csvResource Description: Northeast States Data set
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Northeast states data.
File Name: NE Dataset 2019-EAB Parasitoid Niche Partition-Raw.csv
Resource Description: Northeast States Data set
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Data Dictionary. File Name: Data Dictionary for Parasitoid niche partitioning study from Biological Control.docxResource Description: Data dictionary
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Data Dictionary.
File Name: Data Dictionary for Parasitoid niche partitioning study from Biological Control.docx
Resource Description: Data dictionary
Resources in this dataset:
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Michigan data. File Name: Michigan 2019-EAB Parasitoid Niche Partition-Raw.csvResource Description: Michigan DatasetResource Software Recommended: JMP,url: https://www.JMP.com
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Michigan data.
File Name: Michigan 2019-EAB Parasitoid Niche Partition-Raw.csv
Resource Description: Michigan Dataset
Resource Software Recommended: JMP,url: https://www.JMP.com
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Northeast states data. File Name: NE Dataset 2019-EAB Parasitoid Niche Partition-Raw.csvResource Description: Northeast States Data set
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Northeast states data.
File Name: NE Dataset 2019-EAB Parasitoid Niche Partition-Raw.csv
Resource Description: Northeast States Data set
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Data Dictionary. File Name: Data Dictionary for Parasitoid niche partitioning study from Biological Control.docxResource Description: Data dictionary
Resource Title: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest - Data Dictionary.
File Name: Data Dictionary for Parasitoid niche partitioning study from Biological Control.docx
Resource Description: Data dictionary
Original Distribution URL:
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https://agdatacommons.nal.usda.gov/articles/dataset/Data_from_Niche_partitioning_and_coexistence_of_parasitoids_of_the_same_feeding_guild_introduced_for_biological_control_of_an_invasive_forest_pest/24666156
Scope of Project
Subject Terms:
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emerald ash borer;
biocontrol;
natural enemy introduction;
Parasitoid co-existence;
resource partitioning;
NP304;
data.gov;
ARS
Geographic Coverage:
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United States
Data Type(s):
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observational data
Collection Notes:
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DOI: 10.15482/USDA.ADC/1522681
Citation: Duan, Jian J. (2021). Data from: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1522681 (Downloaded 2026-06-26)
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