Data from: Light-level geolocators and species distribution modeling reveal that the vulnerable Sporophila cinnamomea (Chestnut Seedeater) migrates through the Paraná-Paraguay System to Central Brazil
Data files
Jan 23, 2025 version files 101.75 KB
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Individual_Weight_Geolocator_Deployment_ChestnutSeedeater.xlsx
9.54 KB
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Individual_Weight_Geolocator_Recovery-ChestnutSeedeater.xlsx
9.42 KB
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LatLong_EnvironmentalVariables_ChesnutSeedeater.xlsx
46.21 KB
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Migration_Data_ChestnutSeedeater.xlsx
9.76 KB
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README.md
4.24 KB
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Stopover_Autumn_ChestnutSeedeater.xlsx
12.33 KB
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Stopover_Spring_ChestnutSeedeater.xlsx
10.26 KB
Abstract
The movement ecology of migratory Sporophila seedeaters in the Neotropics, particularly their migratory routes and nonbreeding areas, remains poorly understood. This study aimed to fill this gap by providing a detailed description of these migratory routes, stopovers, and nonbreeding areas using light-level geolocators on Sporophila cinnamomea (Chestnut Seedeater), a vulnerable species that breeds in southern South America. Species Distribution Modelling was employed to estimate the probability of occurrence at distribution extremes. Over 3 breeding seasons (October to March 2018–2021), geolocators were affixed to 14 adult males. The overall device recovery rate was 64% (n = 9), and these eight devices operated on average for 301 days. Autumn migration commenced on 24 February, lasting 46 days and spanning 1,679 km, with an average of 2.38 ± 0.92 stopovers—twice the number observed during spring migration (1.40 ± 0.89). We identified eight nonbreeding areas utilized by the birds for an average of 145 days, primarily located between the northern and northeastern regions of the Paraná and Paraguay Rivers and the southern Tocantins River. Spring migration began in early September, lasted approximately 58 days, and covered 2,940 km. In both migrations, birds followed routes along the Paraná-Paraguay River valleys, with no significant difference in the number of stopovers detected between seasons. The nonbreeding period model indicated high habitat suitability in two regions within the Cerrado biome, particularly a larger area predominantly in the southern and then in the central regions of the Tocantins River. In the southern limit, the breeding model highlighted the most representative area, which is located in the central-eastern region of the Uruguay River. Our study offers valuable insights into the migratory patterns of S. cinnamomea. These findings should be used to inform the planning and establishment of protected areas aimed at conserving grassland species.
README: Light-level geolocators and species distribution modeling reveal that the Vulnerable Sporophila cinnamomea (Chestnut Seedeater) migrates through the Paraná-Paraguay System to Central Brazil
https://doi.org/10.5061/dryad.r2280gbp1
Description of the data and file structure
This dataset belongs to the manuscript titled: "Light-level geolocators and species distribution modeling reveal that the vulnerable Sporophila cinnamomea (Chestnut Seedeater) migrates through the Paraná-Paraguay System to Central Brazil" published in Ornithological Applications with doi: https://doi.org/10.1093/ornithapp/duaf002 and the authors are as follows:
Jonas Rafael Rodrigues Rosoni, jonas.rosoni@gmail.com
Carla Suertegaray Fontana, xolmis@gmail.com
Hernandi Francisco Krammes Filho, hernandik@gmail.com
Caio José Carlos, macronectes1@gmail.com
This repository contains general data on the migrations of the Chestnut Seedeater (Sporophila cinnamomea), covering both the spring and autumn migrations. The data is presented in Excel spreadsheets and provides an overview of the migratory movements of the birds. Additionally, Sporophila cinnamomea is globally vulnerable to extinction, and to protect the species from its main threat, wildlife trafficking, we provide location data with low precision. However, the corresponding author will provide the data used in this article upon request.
Files and variables
File: Migration_Data_ChestnutSeedeater.xlsx
Description: This spreadsheet contains data for each individual with a geolocator, including the migration period referred to as "season," duration in days for each migration, distance traveled in kilometers, and migration speed per day and per hour.
Variables: 5
Season: autumn/spring
Migration duration: day
Distance: km
Speed: km/day and km/hour
File: Stopover_Autumn_ChestnutSeedeater.xlsx
Description: This spreadsheet contains data for autumn migration, where "behavior" refers to the migration period (autumn/spring), arrival and departure dates for each stopover, and the latitude and longitude of each stopover location.
Variables: 3
File: Individual_Weight_Geolocator_Recovery-ChestnutSeedeater.xlsx
Description: This refers to the body mass of the individuals after the removal of the geolocation devices.
Variables: 2
File: Stopover_Spring_ChestnutSeedeater.xlsx
Description: This spreadsheet contains data for spring, where "behavior" refers to the migration period (autumn/spring), arrival and departure dates for each stopover, and the latitude and longitude of each stopover location.
Variables: 3
File: Individual_Weight_Geolocator_Deployment_ChestnutSeedeater.xlsx
Description: This refers to the body mass of the individuals before the deployment of the geolocation devices.
Variables: 2
File: LatLong_EnvironmentalVariables_ChesnutSeedeater.xlsx
Description: The file contains latitude and longitude data for the species (with low precision), along with environmental variables used for SDM. These data include variables such as average temperature, precipitation, probability of S. parviflora, probability of P. plicatulim, elevation, and distance to wetlands, intended for analyses related to species distribution modeling.
Variables: 6
Precipitation: mm
Temperature: °C
Setpar (Setaria parviflora): %
Paspli (Paspalum plicatulum): %
Elevation: m
Wetland distance: km
Code/software
We follow the codes according to:
Lisovski, S., Bauer, S., Briedis, M., Davidson, S.C., Dhanjal-Adams, K.L., Hallworth, M.T., Karagicheva, J., Meier, C.M., Merkel, B., Ouwehand, J., Pedersen, L., Rakhimberdiev, E., Roberto-Charron, A., Seavy, N.E., Sumner, M.D., Taylor, C.M., Wotherspoon, S.J. & E.S. Bridge (2019) Light-Level Geolocator Analyses: A user’s guide. Journal of Animal Ecology. DOI: 10.1111/1365-2656.13036
This is available at: https://geolocationmanual.vogelwarte.ch/index.html