Southern Missouri feral swine monitoring and removal data from 2020-2024
Metadata:
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Identification_Information:
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Citation:
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Citation_Information:
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Originator: Feuka, Abigail B.
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Originator: Guerrant, Travis L.
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Originator: Angerer, Cassie
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Originator: Farrar, Randy O.
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Originator: Jump Sr., Brad
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Originator: Dykstra, Adrienne M.
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Originator: Pepin, Kimberly M.
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Publication_Date: 2025
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Title:
Southern Missouri feral swine monitoring and removal data from 2020-2024- Geospatial_Data_Presentation_Form: tabular and vector digital data
- Series_Information:
- Series_Name: Research Dataset Series
- Publication_Information:
- Publication_Place: Fort Collins, Colorado
- Publisher: USDA, APHIS, WS National Wildlife Research Center
- Online_Linkage: https://doi.org/10.2737/NWRC-RDS-2025-001
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Description:
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Abstract:
- This package contains all necessary data to fit a model of feral swine occupancy and abundance in southern Missouri from 2020-2024. These data include feral swine presence/absence data collected via systematic baiting, numbers of feral swine removal via traps and aerial operations, and the amount of time spent conducting these activities. We also include data on the proportion of oak cover, agricultural cover, and development to investigate the impact of these factors on feral swine distribution and population growth. Data are aggregated to the HUC10 watershed spatial and to either 10-day subperiod of 90-day primary period scales. Feral swine data were collected via USDA Wildlife Services management operations and covariate data were collected via remote sensing by other projects.
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Purpose:
- Data were collected during regular operations of Missouri Wildlife Services feral swine monitoring and removal to manage invasive feral swine damage to agriculture.
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Supplemental_Information:
- For more information about this study and these data, see Feuka et al. (in review).
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Time_Period_of_Content:
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Time_Period_Information:
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Range_of_Dates/Times:
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Beginning_Date: 20201001
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Ending_Date: 20241231
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Currentness_Reference:
- Ground condition
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Status:
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Progress: Complete
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Maintenance_and_Update_Frequency: As needed
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Spatial_Domain:
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Description_of_Geographic_Extent:
- Data were collected at the HUC10 watershed scale in southern Missouri, USA.
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Bounding_Coordinates:
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West_Bounding_Coordinate: -95
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East_Bounding_Coordinate: -89
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North_Bounding_Coordinate: 39
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South_Bounding_Coordinate: 36
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Keywords:
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Theme:
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Theme_Keyword_Thesaurus: ISO 19115 Topic Category
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Theme_Keyword: biota
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Theme_Keyword: farming
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Theme_Keyword: environment
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Theme:
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Theme_Keyword_Thesaurus: National Research & Development Taxonomy
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Theme_Keyword: Wildlife (or Fauna)
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Theme_Keyword: Mammals
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Theme:
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Theme_Keyword_Thesaurus: None
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Theme_Keyword: feral swine
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Theme_Keyword: systematic baiting
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Theme_Keyword: aerial operations
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Theme_Keyword: trapping
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Theme_Keyword: oak cover
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Theme_Keyword: agricultural cover
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Theme_Keyword: development cover
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Theme_Keyword: Sus scrofa
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Place:
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Place_Keyword_Thesaurus: None
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Place_Keyword: Missouri
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Taxonomy:
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Keywords/Taxon:
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Taxonomic_Keyword_Thesaurus:
- None
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Taxonomic_Keywords: single species
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Taxonomic_Keywords: mammals
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Taxonomic_System:
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Classification_System/Authority:
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Classification_System_Citation:
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Citation_Information:
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Originator: ITIS
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Publication_Date: 2025
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Title:
Integrated Taxonomic Information System- Geospatial_Data_Presentation_Form: on-line database
- Other_Citation_Details:
- Retrieved [August, 5, 2025]; CC0
- Online_Linkage: https://www.itis.gov
- Online_Linkage: https://doi.org/10.5066/F7KH0KBK
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Taxonomic_Procedures:
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Taxonomic_Classification:
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Taxon_Rank_Name: Kingdom
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Taxon_Rank_Value: Animalia
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Applicable_Common_Name: Animal
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Applicable_Common_Name: animaux
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Applicable_Common_Name: animals
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Taxonomic_Classification:
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Taxon_Rank_Name: Subkingdom
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Taxon_Rank_Value: Bilateria
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Taxonomic_Classification:
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Taxon_Rank_Name: Infrakingdom
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Taxon_Rank_Value: Deuterostomia
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Taxonomic_Classification:
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Taxon_Rank_Name: Phylum
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Taxon_Rank_Value: Chordata
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Applicable_Common_Name: cordés
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Applicable_Common_Name: cordado
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Applicable_Common_Name: chordates
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Taxonomic_Classification:
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Taxon_Rank_Name: Subphylum
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Taxon_Rank_Value: Vertebrata
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Applicable_Common_Name: vertebrado
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Applicable_Common_Name: vertébrés
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Applicable_Common_Name: vertebrates
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Taxonomic_Classification:
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Taxon_Rank_Name: Infraphylum
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Taxon_Rank_Value: Gnathostomata
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Taxonomic_Classification:
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Taxon_Rank_Name: Superclass
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Taxon_Rank_Value: Tetrapoda
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Taxonomic_Classification:
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Taxon_Rank_Name: Class
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Taxon_Rank_Value: Mammalia
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Applicable_Common_Name: mammifères
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Applicable_Common_Name: mamífero
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Applicable_Common_Name: mammals
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Taxonomic_Classification:
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Taxon_Rank_Name: Subclass
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Taxon_Rank_Value: Theria
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Taxonomic_Classification:
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Taxon_Rank_Name: Infraclass
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Taxon_Rank_Value: Eutheria
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Taxonomic_Classification:
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Taxon_Rank_Name: Order
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Taxon_Rank_Value: Artiodactyla
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Applicable_Common_Name: artiodactyls
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Applicable_Common_Name: porco do mato
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Applicable_Common_Name: veado
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Applicable_Common_Name: cloven-hoofed ungulates
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Applicable_Common_Name: even-toed ungulates
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Taxonomic_Classification:
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Taxon_Rank_Name: Family
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Taxon_Rank_Value: Suidae
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Applicable_Common_Name: hogs
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Applicable_Common_Name: pigs
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Taxonomic_Classification:
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Taxon_Rank_Name: Subfamily
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Taxon_Rank_Value: Suinae
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Taxonomic_Classification:
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Taxon_Rank_Name: Tribe
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Taxon_Rank_Value: Suini
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Taxonomic_Classification:
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Taxon_Rank_Name: Genus
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Taxon_Rank_Value: Sus
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Applicable_Common_Name: pigs
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Taxonomic_Classification:
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Taxon_Rank_Name: Species
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Taxon_Rank_Value: Sus scrofa
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Applicable_Common_Name: wild boar
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Applicable_Common_Name: pig
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Applicable_Common_Name: pig (feral)
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Applicable_Common_Name: Wild Boar
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Access_Constraints: None
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Use_Constraints:
- These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:
Feuka, Abigail B.; Guerrant, Travis L.; Angerer, Cassie; Farrar, Randy O.; Jump Sr., Brad; Dykstra, Adrienne M.; Pepin, Kimberly M. 2025. Southern Missouri feral swine monitoring and removal data from 2020-2024. Research Dataset Series. USDA, APHIS, WS National Wildlife Research Center. Ft. Collins, Colorado. https://doi.org/10.2737/NWRC-RDS-2025-001
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Point_of_Contact:
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Contact_Information:
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Contact_Organization_Primary:
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Contact_Organization: USDA, APHIS, Wildlife Service, National Wildlife Research Center
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Contact_Person: Kim Pepin
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Contact_Position: Supervisory Research Biologist
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Contact_Address:
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Address_Type: mailing and physical
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Address: 4101 Laporte Ave
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City: Fort Collins
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State_or_Province: CO
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Postal_Code: 80521
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Country: USA
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Contact_Voice_Telephone: 970-266-6162
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Contact_Electronic_Mail_Address:
kim.m.pepin@usda.gov
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Contact Instructions: This contact information was current as of original publication date. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
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Data_Set_Credit:
- Funding for this project was provided by the USDA Animal and Plant Health Inspection Service (APHIS), National Feral Swine Damage Management Program.
Author Information:
Abigail B. Feuka
USDA, APHIS, Wildlife Service, National Wildlife Research Center
https://orcid.org/0000-0002-6201-4892
Travis L. Guerrant
USDA, APHIS, Wildlife Service
Cassie Angerer
USDA, APHIS, Wildlife Service
Randy O. Farrar
USDA, APHIS, Wildlife Service
Brad Jump Sr.
USDA, APHIS, Wildlife Service
Adrienne M. Dykstra
Missoula Department of Conservation
Kimberly M. Pepin
USDA, APHIS, Wildlife Service, National Wildlife Research Center
https://orcid.org/0000-0002-9931-8312
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Cross_Reference:
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Citation_Information:
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Originator: Feuka, Abigail B.
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Originator: Guerrant, Travis L.
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Originator: Angerer, Cassie
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Originator: Farrar, Randy O.
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Originator: Jump Sr., Brad
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Originator: Dykstra, Adrienne M.
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Originator: Pepin, Kimberly M.
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Publication_Date: Unknown
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Title:
Estimating probability of invasive species elimination and abundance trends using multiple operational data streams- Geospatial_Data_Presentation_Form: journal article
- Series_Information:
- Series_Name: Ecological Applications
- Other_Citation_Details:
- [In review]
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Analytical_Tool:
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Analytical_Tool_Description:
- R is a language and environment for statistical computing and graphics.
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Tool_Access_Information:
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Online_Linkage:
https://www.r-project.org/
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Tool_Access_Instructions:
- see website
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Tool_Citation:
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Citation_Information:
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Originator: R Core Team
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Publication_Date: Unknown
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Title:
R: A language and environment for statistical computing- Geospatial_Data_Presentation_Form: software
- Publication_Information:
- Publication_Place: Vienna, Austria
- Publisher: R Foundation for Statistical Computing
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Data_Quality_Information:
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Attribute_Accuracy:
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Attribute_Accuracy_Report:
- Data on feral swine removal were collected on the ground via the Collector App–an internal ESRI application used by Wildlife Services. Observations outside of the study area or with obviously incorrect spatial coordinates were removed for analysis. True duplicates were removed from systematic baiting and removal data, but because we analyzed the data well after it was collected, there was no way to quality control the data, other than removing obvious spatial outliers.
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Logical_Consistency_Report:
- We removed any instances where a feral swine was reported as sighted or removed from Missouri, but the spatial location was not within Missouri state lines.
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Completeness_Report:
- No missing data.
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Lineage:
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Methodology:
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Methodology_Type: Field
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Methodolgy_Identifier:
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Methodolgy_Keyword_Thesaurus:
- None
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Methodology_Keyword: feral swine trapping
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Methodology_Keyword: aerial operations
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Methodology_Keyword: systematic baiting
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Methodology_Keyword: GAP/LANDFIRE
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Methodology_Keyword: NLCD
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Methodology_Description:
- Systematic baiting involves setting out piles of corn on the landscape that are checked every 3-5 days for sign of feral swine activity. Corral traps were used to trap feral swine live. Aerial operations involve shooting feral swine via helicopter.
Systematic baiting data, trapping, and aerial operations were collected in the Collector App, a handheld data entry system used in the field by Wildlife Services professionals. Geolocations for traps and bait stations were recorded along with the number of pigs detected or caught and the date. Aerial operations removal numbers and dates of removal were recorded in Collector, and aerial operations tracks were recorded via geolocation devices affixed to aircraft. We used data on hours spent trapping, systematic baiting, and flying aircraft from an internal Wildlife Services database that tracks person-hours for wildlife management work tasks.
Oak cover, agricultural cover, and development cover were all extracted via satellite imagery and classified using machine learning methods.
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Methodology_Citation:
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Citation_Information:
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Originator: Feuka, Abigail B.
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Originator: Guerrant, Travis L.
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Originator: Angerer, Cassie
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Originator: Farrar, Randy O.
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Originator: Jump Sr., Brad
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Originator: Dykstra, Adrienne M.
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Originator: Pepin, Kimberly M.
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Publication_Date: Unknown
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Title:
Estimating probability of invasive species elimination and abundance trends using multiple operational data streams- Geospatial_Data_Presentation_Form: journal article
- Series_Information:
- Series_Name: Ecological Applications
- Other_Citation_Details:
- [In review]
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Source_Information:
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Source_Citation:
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Citation_Information:
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Originator: U.S. Geological Survey Gap Analysis Project
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Publication_Date: 2016
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Title:
GAP/LANDFIRE National Terrestrial Ecosystems 2011- Geospatial_Data_Presentation_Form: raster digital data
- Series_Information:
- Series_Name: U.S. Geological Survey data release
- Publication_Information:
- Publisher: U.S. Geological Survey
- Online_Linkage: https://doi.org/10.5066/F7ZS2TM0
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Type_of_Source_Media: Online
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Source_Time_Period_of_Content:
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Time_Period_Information:
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Range_of_Dates/Times:
-
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Beginning_Date: 2010
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Ending_Date: 2011
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Source_Currentness_Reference:
- Observed
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Source_Citation_Abbreviation:
- U.S. Geological Survey GAP/LANDFIRE 2011
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Source_Contribution:
- Raster oak cover data were extracted from the U.S. Geological Survey's GAP/LANDFIRE 2011 dataset
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Source_Information:
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Source_Citation:
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Citation_Information:
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Originator: Dewitz, Jon
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Publication_Date: 2021
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Title:
National Land Cover Database (NLCD) 2019 Land Cover Science Product- Edition: Version 2.0, June 2021
- Geospatial_Data_Presentation_Form: raster digital data
- Series_Information:
- Series_Name: U.S. Geological Survey data release
- Series_Information:
- Series_Name: data release
- Publication_Information:
- Publisher: U.S. Geological Survey
- Online_Linkage: https://doi.org/10.5066/P9KZCM54
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Type_of_Source_Media: Online
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Source_Time_Period_of_Content:
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Time_Period_Information:
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Single_Date/Time:
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Calendar_Date: 2019
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Source_Currentness_Reference:
- Observed
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Source_Citation_Abbreviation:
- NLCD
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Source_Contribution:
- Agricultural cover and development cover were extracted from the National Landcover Database 2019 dataset (NLCD).
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Source_Information:
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Source_Citation:
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Citation_Information:
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Originator: Yang, Limin
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Originator: Jin, Suming
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Originator: Danielson, Patrick
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Originator: Homer, Collin
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Originator: Gass, Leila
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Originator: Bender, Stacie M.
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Originator: Case, Adam
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Originator: Costello, Catherine
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Originator: Dewitz, Jon
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Originator: Fry, Joyce
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Originator: Funk, Michelle
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Originator: Granneman, Brian
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Originator: Liknes, Greg C.
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Originator: Rigge, Matthew
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Originator: Xian, George
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Publication_Date: 2018
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Title:
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies- Geospatial_Data_Presentation_Form: journal article
- Series_Information:
- Series_Name: ISPRS Journal of Photogrammetry and Remote Sensing
- Issue_Identification: 146: 108-123
- Online_Linkage: https://doi.org/10.1016/j.isprsjprs.2018.09.006
- Online_Linkage: https://research.fs.usda.gov/treesearch/56838
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Type_of_Source_Media: Online
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Source_Time_Period_of_Content:
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Time_Period_Information:
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Single_Date/Time:
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Calendar_Date: 2018
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Source_Currentness_Reference:
- Publication Date
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Source_Citation_Abbreviation:
- Yang et al. (2018)
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Source_Contribution:
- Agricultural cover and development cover were extracted from the National Landcover Database 2019 dataset (NLCD).
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Process_Step:
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Process_Description:
- We georeferenced all systematic baiting locations and summed the total number of detections and number of days traps were open for each 10-day subperiod within a 90-day primary period, for each HUC10 watershed (SiteID). We totaled the number of feral swine removed via traps and aerial operations, and hours spent removing them, by HUC10 watershed and subperiod as well. Hours spent removing or baiting for feral swine and trap-nights were divided by the area of the watershed to obtain hours per square kilometers.
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Process_Date: Unknown
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Process_Step:
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Process_Description:
- Aerial operations track data were filtered to times when the helicopter was operating at less than 25 miles per hour within the study area, as this indicates when they were shooting feral swine and not in transit.
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Process_Date: Unknown
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Process_Step:
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Process_Description:
- All watershed data were georeferenced to larger feral swine elimination area polygons provided by the Missouri Department of Conservation.
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Process_Date: Unknown
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Process_Step:
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Process_Description:
- To calculate the proportion of available or effective area, we added a 6.7 square kilometer circular buffer around all trap locations, and a 528 meter buffer around helicopter track data. These areas were intersected with HUC10 watershed polygons using the "sf" package in R and the proportion of watershed covered by the trap/aerial area polygon was recorded as the proportion of the site covered.
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Process_Date: Unknown
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Process_Step:
-
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Process_Description:
- Raster oak cover data were extracted from the U.S. Geological Survey's GAP/LANDFIRE 2011 dataset. Area was calculated by HUC10 watershed and divided by the watershed area to obtain the proportion of the watershed covered by oak. Agricultural cover and development cover were extracted from the National Landcover Database 2019 dataset (NLCD). Area was calculated by HUC10 watershed and divided by the watershed area to obtain the proportion of the watershed covered by agriculture and development.
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Process_Date: Unknown
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Spatial_Data_Organization_Information:
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Direct_Spatial_Reference_Method: Vector
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Spatial_Reference_Information:
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Horizontal_Coordinate_System_Definition:
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Planar:
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Map_Projection:
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Map_Projection_Name: Transverse Mercator
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Transverse_Mercator:
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Scale_Factor_at_Central_Meridian: 0
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Longitude_of_Central_Meridian: -93
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Latitude_of_Projection_Origin: 0
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False_Easting: 500000.0
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False_Northing: 0
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Planar_Coordinate_Information:
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Planar_Coordinate_Encoding_Method: Coordinate Pair
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Coordinate_Representation:
-
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Abscissa_Resolution: 0.001
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Ordinate_Resolution: 0.001
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Planar_Distance_Units: Meters
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Geodetic_Model:
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Horizontal_Datum_Name: North American Datum of 1983
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Ellipsoid_Name: Geodetic Reference System 80
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Semi-major_Axis: 6378137.0000
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Denominator_of_Flattening_Ratio: 298.25722210
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Entity_and_Attribute_Information:
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Overview_Description:
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Entity_and_Attribute_Overview:
- Below you will find a list and description of the files included in this data publication.
VARIABLE DESCRIPTION FILE (1)
1. \Data\_variable_descriptions.csv: Comma-separated values (CSV) file containing a list and description of variables found in all data files. (A description of these variables is also provided in the metadata below.)
Columns include:
Filename = name of data file
Variable = name of variable
Units = units (if applicable)
Precision = precision (if applicable)
Description = description of variable
DATA FILES (4)
1. \Data\nlcd_siteid.csv: CSV file containing the site identification numbers (HUC10 watersheds) and the proportion of agricultural and development cover in each of the 202 watersheds.
Variables include:
SiteID = Site index numbers for HUC10 watersheds (1-202)
prop_developed = Proportion of land covered by development in watershed
prop_agri = Proportion of land covered by agriculture in watershed
2. \Data\oak_siteid.csv: CSV file containing site identification numbers (HUC10 watersheds) and the proportion of oak cover as well as area of oak tree coverage in each of the 202 watersheds.
Variables include:
SiteID = Site index numbers for HUC10 watersheds (1-202)
oak_km = Area of oak tree cover in watershed (square kilometers)
prop_oak = Proportion of the land covered by oak in watershed
3. \Data\rem_eff_site.csv: CSV file containing feral swine removal data and effort hours (time spent removing feral swine) by site, subperiod, and method.
Variables include:
subper_id = Index of secondary 10-day removal subperiod (1-9)
subper_start = Start date of 10-day subperiod (mm/dd/yyyy)
subper_end = End date of 10-day subperiod (mm/dd/yyyy)
period = Index of primary 90-day removal period (1-17)
Method = Description of method used to remove feral swine,
where:
Aerial = feral swine removed via aerial operations e.g., helicopter
Trap = feral swine removed via live trapping
SiteID = Site index numbers for HUC10 watersheds (1-202)
tot_hrs = Total hours spent removing feral swine
tot_rem = Number of feral swine removed
Area_Name = Name of feral swine elimination area watershed is located within,
where:
0 = outside elimination area
1 = Elimination Area 1
2 = Elimation Area 2, etc.
site_area_km = Area of site/watershed (square kilometers)
effect_area_km = Effective area of removal method divided by site/watershed area (proportion of watershed)
area_km = Area of elimination area (square kilometers) (values are "NA" for method = "Trap", values can be filtered to 7 main elimination areas)
prop_site_impact = Proportion of the site covered by removal effective area
pass_idx = Index of removal passes within a subperiod and watershed (unitless--index used for model fitting)
effect_area_hours = Hours spent removing feral swine divided by the site/watershed area (hours per square kilometer)
4. \Data\sysbait_det_eff.shp: Shapefile (and associated files) containing systematic baiting data including information such as the number of feral swine detections within a 10-day subperiod and primary period, subperiod start and end dates, number of trapping, number of trap nights, site identification number, elimination area name, and location (polygon coordinates in NAD 83 UTM Zone 15).
Variables include:
FID = Unique identifier
Shape = Feature geometry (polygon)
sbpr_st = Start date of 10-day subperiod (mm/dd/yyyy)
year = Calendar year of primary period (2020-2024)
fy = Fiscal year of primary period (where fiscal year is: Oct-Sept) (2021-2025)
period = Index of primary 90-day removal period (1-17)
sbpr_nd = End date of 10-day subperiod (mm/dd/yyyy)
site_dx = Index of sites/watersheds (1-202)
detectn = Whether or not feral swine were detected via systematic baiting during the subperiod
where:
0 = feral swine not detected
1 = feral swine detected
trp_ngh = Number of traps opened per night, summed across traps
eff_hrs = Hours spent monitoring feral swine via systematic baiting by watershed area (hours per square kilometer)
SiteID = Original site names for HUC10 watersheds (1-202)
Area_Nm = Name of feral swine elimination area watershed is located within
where
0 = outside elimination area
1 = Elimination Area 1
2 = Elimation Area 2, etc.
st_r_km = Area of site/watershed (square kilometers)
eff_hr_ = Hours spent monitoring feral swine via systematic baiting by elimination area (hours per square kilometer)
trp_ng_ = Number of trap-nights divided by site/watershed area (trap-nights per square kilometer)
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Entity_and_Attribute_Detail_Citation:
- Feuka, Abigail B.; Guerrant, Travis L.; Angerer, Cassie; Farrar, Randy O.; Jump Sr., Brad; Dykstra, Adrienne M.; Pepin, Kimberly M. [In review]. Estimating probability of invasive species elimination and abundance trends using multiple operational data streams. Ecological Applications.
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Distribution_Information:
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Distributor:
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Contact_Information:
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Contact_Organization_Primary:
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Contact_Organization: USDA Forest Service, Research and Development
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Contact_Position: Research Data Archivist
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Contact_Address:
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Address_Type: mailing and physical
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Address: 240 West Prospect Road
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City: Fort Collins
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State_or_Province: CO
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Postal_Code: 80526
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Country: USA
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Contact_Voice_Telephone: see Contact Instructions
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Contact Instructions: This contact information was current as of August 2025. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
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Resource_Description: NWRC-RDS-2025-001
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Distribution_Liability:
- Metadata documents have been reviewed for accuracy and completeness. Unless otherwise stated, all data and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. However, neither the author, the Archive, nor any part of the federal government can assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed for a user's application of these data or related materials.
The metadata, data, or related materials may be updated without notification. If a user believes errors are present in the metadata, data or related materials, please use the information in (1) Identification Information: Point of Contact, (2) Metadata Reference: Metadata Contact, or (3) Distribution Information: Distributor to notify the author or the Archive of the issues.
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Standard_Order_Process:
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Digital_Form:
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Digital_Transfer_Information:
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Format_Name: CSV
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Format_Version_Number: see Format Specification
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Format_Specification:
- Comma-separated values file
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Digital_Transfer_Option:
-
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Online_Option:
-
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Computer_Contact_Information:
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Network_Address:
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Network_Resource_Name:
https://doi.org/10.2737/NWRC-RDS-2025-001
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Digital_Form:
-
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Digital_Transfer_Information:
-
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Format_Name: SHP
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Format_Version_Number: see Format Specification
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Format_Specification:
- Shapefile (and associated files)
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Digital_Transfer_Option:
-
-
Online_Option:
-
-
Computer_Contact_Information:
-
-
Network_Address:
-
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Network_Resource_Name:
https://doi.org/10.2737/NWRC-RDS-2025-001
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Fees: None
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Metadata_Reference_Information:
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Metadata_Date: 20250811
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Metadata_Contact:
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Contact_Information:
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Contact_Organization_Primary:
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Contact_Organization: USDA, APHIS, Wildlife Service, National Wildlife Research Center
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Contact_Person: Kim Pepin
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Contact_Position: Supervisory Research Biologist
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Contact_Address:
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Address_Type: mailing and physical
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Address: 4101 Laporte Ave
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City: Fort Collins
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State_or_Province: CO
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Postal_Code: 80521
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Country: USA
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Contact_Voice_Telephone: 970-266-6162
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Contact_Electronic_Mail_Address:
kim.m.pepin@usda.gov
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Contact Instructions: This contact information was current as of original publication date. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
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Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata
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Metadata_Standard_Version: FGDC-STD-001.1-1999
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