Blackbird flock dispersal and abandonment data in response to drone hazing with an avian repellent in sunflower

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Duttenhefner, Jessica L.
Originator: Greives, Timothy J.
Originator: Klug, Page E.
Publication_Date: 2024
Title:
Blackbird flock dispersal and abandonment data in response to drone hazing with an avian repellent in sunflower
Geospatial_Data_Presentation_Form: tabular digital data
Series_Information:
Series_Name: Research Dataset Series
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: USDA, APHIS, WS National Wildlife Research Center
Online_Linkage: https://doi.org/10.2737/NWRC-RDS-2024-003
Description:
Abstract:
We evaluated the capability of a spraying drone (DJI Agras MG-1P) deploying a repellent (Avian Control®; active ingredient: methyl anthranilate) or water to evoke abandonment, flock reductions, latency to return, and behavioral changes of blackbirds (Icteridae) foraging in sunflower (Helianthus annuus). We flew the spraying drone directly at the flock for hazing, while simultaneously applying the avian repellent (8-minute hazing period). We conducted 15-minute observational periods before and immediately after the hazing period to estimate flock size (number of birds), number of times the flock took flight (tally of lift-offs), and total time flock spent in flight (seconds). We evaluated changes in flight behavior after drone exposure and during the hazing period when flocks were exposed to either a repellent (i.e., methyl anthranilate) or control (i.e., water). This study was implemented between August 2021 through October 2022 in multiple counties in North Dakota, USA where blackbird damage to sunflowers is prevalent. This data publication contains the data and R code used analyze these data.
Purpose:
We designed the study to evaluate the efficacy of combining drone hazing with the avian repellent applied via a spraying drone to reduce bird activity in sunflower and ultimately reduce crop damage.
Supplemental_Information:
For more information about this study and these data, see Duttenhefner et al. (2024).

These data were published on 08/09/2024. On 10/24/2024, metadata was updated to include reference to newly published article.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 202108
Ending_Date: 202210
Currentness_Reference:
Ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Description_of_Geographic_Extent:
We performed trials in Barnes, Bottineau, Burleigh, Cass, Eddy, Emmons, Foster, Griggs, Kidder, Lamoure, Logan, McIntosh, McLean, Sheridan, Stark and Stutsman counties in North Dakota, USA, where blackbird damage to sunflowers is prevalent.
Bounding_Coordinates:
West_Bounding_Coordinate: -103.230133
East_Bounding_Coordinate: -96.762420
North_Bounding_Coordinate: 48.999464
South_Bounding_Coordinate: 45.942925
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: biota
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Ecology, Ecosystems, & Environment
Theme_Keyword: Wildlife (or Fauna)
Theme_Keyword: Birds
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: chemical deterrent
Theme_Keyword: human-wildlife interactions
Theme_Keyword: integrated pest management
Theme_Keyword: IPM
Theme_Keyword: methyl anthranilate
Theme_Keyword: negative stimuli
Theme_Keyword: unmanned aerial vehicle
Theme_Keyword: UAV
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: North Dakota
Taxonomy:
Keywords/Taxon:
Taxonomic_Keyword_Thesaurus:
None
Taxonomic_Keywords: multiple species
Taxonomic_Keywords: vertebrates
Taxonomic_System:
Classification_System/Authority:
Classification_System_Citation:
Citation_Information:
Originator: ITIS
Publication_Date: 2024
Title:
Integrated Taxonomic Information System
Geospatial_Data_Presentation_Form: on-line database
Other_Citation_Details:
Retrieved [July, 29, 2024]; CC0
Online_Linkage: https://www.itis.gov
Online_Linkage: https://doi.org/10.5066/F7KH0KBK
Taxonomic_Procedures:
Taxonomic_Classification:
Taxon_Rank_Name: Kingdom
Taxon_Rank_Value: Animalia
Applicable_Common_Name: Animal
Applicable_Common_Name: animaux
Applicable_Common_Name: animals
Taxonomic_Classification:
Taxon_Rank_Name: Subkingdom
Taxon_Rank_Value: Bilateria
Applicable_Common_Name: triploblasts
Taxonomic_Classification:
Taxon_Rank_Name: Infrakingdom
Taxon_Rank_Value: Deuterostomia
Taxonomic_Classification:
Taxon_Rank_Name: Phylum
Taxon_Rank_Value: Chordata
Applicable_Common_Name: cordés
Applicable_Common_Name: cordado
Applicable_Common_Name: chordates
Taxonomic_Classification:
Taxon_Rank_Name: Subphylum
Taxon_Rank_Value: Vertebrata
Applicable_Common_Name: vertebrado
Applicable_Common_Name: vertébrés
Applicable_Common_Name: vertebrates
Taxonomic_Classification:
Taxon_Rank_Name: Infraphylum
Taxon_Rank_Value: Gnathostomata
Taxonomic_Classification:
Taxon_Rank_Name: Superclass
Taxon_Rank_Value: Tetrapoda
Taxonomic_Classification:
Taxon_Rank_Name: Class
Taxon_Rank_Value: Aves
Applicable_Common_Name: Birds
Applicable_Common_Name: oiseaux
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Passeriformes
Applicable_Common_Name: Perching Birds
Applicable_Common_Name: passereaux
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Icteridae
Applicable_Common_Name: American Blackbirds
Applicable_Common_Name: Orioles
Applicable_Common_Name: New World Blackbirds
Access_Constraints: None
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:

Duttenhefner, Jessica L.; Greives, Timothy J.; Klug, Page E. 2024. Blackbird flock dispersal and abandonment data in response to drone hazing with an avian repellent in sunflower. Research Dataset Series. USDA, APHIS, WS National Wildlife Research Center. Ft. Collins, Colorado. https://doi.org/10.2737/NWRC-RDS-2024-003
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA, APHIS, Wildlife Service, National Wildlife Research Center
Contact_Person: Page Klug
Contact_Position: Supervisory Research Wildlife Biologist
Contact_Address:
Address_Type: mailing and physical
Address: 4101 LaPorte Ave.
City: Fort Collins
State_or_Province: CO
Postal_Code: 80521
Country: USA
Contact_Voice_Telephone: 701-630-3776
Contact_Electronic_Mail_Address: page.e.klug@usda.gov
Data_Set_Credit:
This project was funded by the National Sunflower Association (Project# 20-P03) and the United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Research Center (NWRC; cooperative agreement: #7438-0020-CA with North Dakota State University; QA-3108).


Author Information:

Jessica L. Duttenhefner
North Dakota State University
https://orcid.org/0009-0006-2672-8421

Timothy J. Greives
North Dakota State University
https://orcid.org/0000-0001-9239-1413

Page E. Klug
USDA, APHIS, Wildlife Service, National Wildlife Research Center
https://orcid.org/0000-0002-0836-3901
Cross_Reference:
Citation_Information:
Originator: Duttenhefner, Jessica L.
Originator: Greives, Timothy J.
Originator: Klug, Page E.
Publication_Date: 2024
Title:
Spraying drones: Efficacy of integrating an avian repellent with drone hazing to elicit blackbird flock dispersal and abandonment of sunflower fields
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Wildlife Biology
Issue_Identification: e01333
Online_Linkage: https://doi.org/10.1002/wlb3.01333
Analytical_Tool:
Analytical_Tool_Description:
R is a language and environment for statistical computing and graphics.
Tool_Access_Information:
Online_Linkage: https://www.R-project.org/
Tool_Access_Instructions:
See website
Tool_Citation:
Citation_Information:
Originator: R Core Team
Publication_Date: 2024
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
Online_Linkage: https://www.R-project.org/
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The spray path varied across trials due to us actively pursuing the flock throughout the 8-minute (min) spray period. However, all drone flights were conducted by a single pilot (JLD). Variable flock sizes, complex land cover, and birds positioned below the crop canopy made identifying flock location and counting birds difficult. We used top-down screenshots taken from an eye-in-the-sky drone (80 meters above ground level) to measure the distance between the drone and the flock at first flush to approximate the initial flock location to measure distance to edge, distance to launch, and start of spraying. Although visual estimates of large bird flocks by human observers are often inaccurate, used a single observer (JLD). Thus, our estimates were consistent relative to other flocks and the effect of flock size reflects a true biological effect. Wind speed, temperature, ambient light, and spray data are accurate relative to the accuracy of our equipment. With the exception of 5 trials in which only minutes were recorded, the time a flock was present prior to, during, or after a hazing period, were recorded in minutes and seconds. For the 34 flocks that never abandoned the field, time present was recorded as 8 min, the length of the hazing period.
Logical_Consistency_Report:
The data are logically consistent. The consistency was verified as part of the quality assurance that occurred during data analysis.
Completeness_Report:
In the latency to return column, we have 44 NAs, including trials where flocks never left (n = 28), never returned (n = 15), or we had missing data (n = 1). For the proportion of time in flight, we have missing data (NA = 1) for 1 trial (trial_prop_tfd).
Lineage:
Methodology:
Methodology_Type: Field
Methodology_Description:
We conducted 76 trials in multiple counties in North Dakota. We targeted locations based on presence of mixed-species blackbird flocks actively foraging in sunflower fields, from 22 August to 26 October (2021–2022) between the hours of 07:45 and 12:45. We used a precision agriculture spraying octocopter (DJI Agras MG-1P; hereafter, Agras) to apply a chemical repellent or water to areas of the sunflower field with actively foraging blackbirds. We attempted to use a small quadcopter (DJI Mavic Air 2; hereafter, Mavic) as an observational eye-in-the-sky drone (80 meters [m] above ground level [AGL]) to capture the Agras approach and corresponding responses of flocks.

We recorded time of day (military time), julian date, ambient temperature (degrees Celsius), wind speed (meters per second [m s⁻¹]) with a Skymaster SM-28 weather meter (Speedtech Instruments, Great Falls Virginia USA), wind direction (cardinal directions), and ambient light (micromoles per square meter per second [μmol m⁻² s⁻¹]) with a Li-Cor LI-250 Light Meter (Lincoln Nebraska, USA) when we first arrived at a field. We performed a 15-min observational period before and after the hazing period to assess flock size, number of times the flock lifted off the crop per minute, and total time the flock spent in flight (seconds). Using the Windy app (www.windy.app), we launched the drones upwind of the flock to maximize spray drift and allow the chemical to reach the foraging flock (drift approximately 80 m), while minimizing distance traveled by the Agras prior to spraying.

The hazing period began after the Mavic reached 80 m AGL and the Agras reached 15 m AGL. We flew the Agras directly towards the flock and hazed every flock for 8-min. We followed the flock, spraying continuously, until the flock abandoned the sunflower or 8-min hazing period was complete. We evaluated changes in flight behavior after drone exposure and during the hazing period to compare behavior when exposed to treatment (i.e., methyl anthranilate [MA]) or control (i.e., water). We calculated lifts-offs per minute and time in flight based on the time the flock was present in the field.

We approached flocks using one of two spray treatments: 1) Avian Control® (Avian Enterprises, LLC; a.i. = MA) or 2) water. We conducted 1-2 trials per day and alternated treatments, starting with a different treatment on subsequent days. In MA trials, the tank mixture contained 1.24 liters (L) of Avian Control® (0.6 kilograms a.i. per hectare) and 0.09 L of Destiny® HC spray adjuvant (Winfield Solutions LLC., High Surfactant Oil Concentrate), diluted with 8.22 L of water (2.6% MA). We dispensed a single tank per hazing period. We considered hazing successful if the entire flock abandoned the sunflower for another location. If the blackbird flock abandoned the sunflower prior to 8 min, we continued spraying the sunflower where the birds were originally damaging the crop, until the end of the designated hazing period. If the flock returned to the sunflower after hazing, we recorded the time for the first bird to return to the field (i.e., latency to return).


For more information about these data, see Duttenhefner et al. (2024).
Methodology_Citation:
Citation_Information:
Originator: Duttenhefner, Jessica L.
Originator: Greives, Timothy J.
Originator: Klug, Page E.
Publication_Date: 2024
Title:
Spraying drones: Efficacy of integrating an avian repellent with drone hazing to elicit blackbird flock dispersal and abandonment of sunflower fields
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Wildlife Biology
Issue_Identification: e01333
Online_Linkage: https://doi.org/10.1002/wlb3.01333
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Entity_and_Attribute_Information:
Overview_Description:
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 the CSV file. (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 (2)

1. \Data\Duttenhefner_etal_ANCOVA.csv: CSV file containing blackbird flock response prior to and immediately after drone hazing. This file can be used with the provided R code (\Supplements\Duttenhefner_etal_2024_WildBiol.R) to analyze the results as reported in Duttenhefner et al. (2024).

Variables include:

trial = Unique identification number for each drone trial

treatment = Drone application treatment dispensed during trial (Water or MA = methyl anthranilate)

period = Observational time period (Pre = Pre-hazing, Post = Post-hazing)

lopm = Number of lift-offs per minute based on time flock was present

ptf = Time spent in flight based on time flock was present (proportion)

flocksize = Size of blackbird flock (estimated by Jessica L. Duttenhefner)


2. \Data\Duttenhefner_etal_Hazing.csv: CSV file containing blackbird flock response, weather conditions, drone path characteristics, and landscape feature data collected during this study. This file can be used with the provided R code (\Supplements\Duttenhefner_etal_2024_WildBiol.R) to analyze the results as reported in Duttenhefner et al. (2024).

Variables include:

trial = Unique identification number for each drone trial

abandonment = Did the entire blackbird flock leave the sunflower field in response to drone hazing? (Yes, Partial, No)

trial_liftoffs = Number of times the flock lifted off during the 8-minute (min) hazing period

trial_tfd = Total time flock spent in flight during the 8-min hazing period (seconds [s])

flock_reduction = Change in flock size divided by the pre-hazing flock size

latency_to_return = Time it took the first bird to return to the sunflower field (minutes [min])

year = Study year (2021 and 2022)

julian_day = Julian date starting from the first day of the year

time = Time of day the trial was initiated (HH:MM)

wind_avg = Average windspeed (meters per hour [m hr⁻¹]; calculated using Airdata UAV Drone Data Management algorithm)

temperature = Ambient temperature (degrees Celsius [°C])

ambient_light = Ambient light intensity (micromoles per square meter per second [µmol m⁻² s⁻¹])

treatment = Drone application treatment dispensed during trial (Water or MA = methyl anthranilate)

edgeinterior_ratio = Field edge to interior ratio between field perimeter (meters [m]) and area (meters squared [m²])

field_size = Size of sunflower field (hectares [ha])

pct_altforage = Corn and sunflower (%) in a 3-kilometer (km) buffer around fields

Pct_wetland = Cattail (%) in a 3-kilometer (km) buffer around fields

closest_tree_patch = Field proximity to nearest tree row/patch (meter [m])

pre_flocksize = Size of blackbird flock (estimated by Jessica L. Duttenhefner)

pre_liftoffs = Number of lift-offs when the flock was present pre-hazing

pre_tfd = Time spent in flight when the flock was present pre-hazing (seconds [s])

flock_dte = Distance between sunflower field edge and blackbird flock (meters [m])

flock_dtss = Distance between drone spray start and blackbird flock (meters [m])

flock_dtl = Distance between drone launch site and blackbird flock (meters [m])

avg_drone_speed = Average speed from start to end of spraying (meters per second [m s⁻¹[)

area_sprayed = Area sprayed by the DJI Agras MG-1P (hectares [ha[)

spray_distance = Distance of path from start to end of spraying (meters [m[)

total_distance = Distance of path for the full hazing trial (meters [m])

spray_time = Length of time from start to end of spraying (minutes:seconds)

path_MCP = Minimum convex polygon created by spray path (hectares [ha])

path_fractal_dimension = Path tortuosity index (Value = 1–2 [1 = straight line])

trial_time_present = Total time the blackbird flock was present during the 8-min hazing period (minutes:seconds)

post_time_present = Total time the blackbird flock was present during the 15-min post-hazing (minutes:seconds)



SUPPLEMENTAL FILES (1)

1. \Supplements\Duttenhefner_Klug_2024_WSB.R: Text file containing R code that when paired with the data files included in this package can be used to replicate the results, step by step, as they appear in Duttenhefner et al. (2024).
Entity_and_Attribute_Detail_Citation:
Duttenhefner, Jessica L.; Greives, Timothy J.; Klug, Page E. 2024. Spraying drones: Efficacy of integrating an avian repellent with drone hazing to elicit blackbird flock dispersal and abandonment of sunflower fields. Wildlife Biology. e01333. https://doi.org/10.1002/wlb3.01333
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Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Research and Development
Contact_Position: Research Data Archivist
Contact_Address:
Address_Type: mailing and physical
Address: 240 West Prospect Road
City: Fort Collins
State_or_Province: CO
Postal_Code: 80526
Country: USA
Contact_Voice_Telephone: see Contact Instructions
Contact Instructions: This contact information was current as of October 2024. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Resource_Description: NWRC-RDS-2024-003
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.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: CSV
Format_Version_Number: see Format Specification
Format_Specification:
Comma-separated values file
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/NWRC-RDS-2024-003
Digital_Form:
Digital_Transfer_Information:
Format_Name: TEXT
Format_Version_Number: see Format Specification
Format_Specification:
Text file (*.R) containing R code
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/NWRC-RDS-2024-003
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Metadata_Reference_Information:
Metadata_Date: 20241024
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA, APHIS, Wildlife Service, National Wildlife Research Center
Contact_Person: Page Klug
Contact_Position: Supervisory Research Wildlife Biologist
Contact_Address:
Address_Type: mailing and physical
Address: 4101 LaPorte Ave.
City: Fort Collins
State_or_Province: CO
Postal_Code: 80521
Country: USA
Contact_Voice_Telephone: 701-630-3776
Contact_Electronic_Mail_Address: page.e.klug@usda.gov
Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001.1-1999
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