Data from: Urbanization filters megacolorful, small-bodied, and diet-specialist species in tropical bird assemblages
Data files
Jun 06, 2025 version files 11.02 MB
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data_AMAZON.xlsx
92.82 KB
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data_ATLANTIC.xlsx
1.36 MB
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data_BRAZIL.xlsx
1.92 MB
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data_CAATINGA.xlsx
123.75 KB
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data_CERRADO.xlsx
271.01 KB
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data_PAMPA.xlsx
83.12 KB
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LucasNascimento_GCB_025.zip
7.17 MB
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README.md
4.80 KB
Abstract
The colorfulness of bird plumage plays a crucial role in intraspecific (e.g., sexual display) and interspecific ecological interactions (e.g., camouflage and predation). Functional traits like diet, body size, and sexual dichromatism are among the primary predictors of plumage colorfulness in passerine (Passeriformes) birds. Consequently, passerine plumage colorfulness and functional traits associated with it (i.e., diet, body size, and sexual dichromatism) can affect the success of individuals in novel environments, such as urban settings. However, our understanding of the impact of urbanization on the functional traits of birds, especially in tropical regions, is limited. To address this gap, we analyzed whether urban environments serve as environmental filters for plumage colorfulness, diet, body size, and sexual dichromatism in passerine bird assemblages across the biomes of Brazil, the world's largest tropical country. Using generalized linear and generalized linear mixed models that incorporate bird checklists, functional traits, urbanization, biomes, and sampling effort, we show that urbanization increases the proportion of omnivores, proportion of larger species, and average sexual dichromatism in bird assemblages. While the average colorfulness of bird assemblages did not change with increasing urbanization, a negative correlation between the presence of megacolorful birds (i.e., the 5% most colorful species) and urbanization was detected, particularly in biomes with high urban concentrations, such as the Atlantic Forest and the Caatinga. This suggests that urban environments can be unsuitable for the most colorful tropical bird species. Our study additionally shows that factors like body size, diet, and sexual dichromatism play a mediating role in the urban filtering process. Our analyses provide insights into how urban environments act as environmental filters and can help to better understand the consequences of urbanization for tropical biodiversity.
Global Change Biology (DOI: 10.1111/gcb.70263).
CODE
The folder LucasNascimento_GCB_025 contains the code used to generate the main results. It is organized into four subfolders:
1_DATA: Contains the datasets for Brazil as a whole and for each biome individually (described below).2_SCRIPTS: Includes three subfolders with code for the following analyses: (1) functional trait models, (2) colourfulness models, and (3) structural equation model. Scripts in subfolders 1 and 2 are organized for Brazil and each biome individually. The script in subfolder 3 is for Brazil.3_OUTPUTS: Stores the model outputs used to generate the figures.4_FIGURES: Contains the code to generate Figures 4–6. Final figure editing was performed in Inkscape.
See Methods for more details.
AVAILABLE DATA FILES
- data_BRAZIL: Dataset for all of Brazil
- data_ATLANTIC: Dataset for the Atlantic Forest biome
- data_CERRADO: Dataset for the Cerrado biome
- data_PAMPA: Dataset for the Pampa biome
- data_AMAZON: Dataset for the Amazon biome
- data_CAATINGA: Dataset for the Caatinga biome
FOR ALL DATASETS:
ROWS
- Each row represents a unique passerine cell assemblage.
COLUMNS
- Each column corresponds to a variable describing that assemblage.
VARIABLES (Columns):
cell: Unique identifier of the passerine cell assemblage.x: Longitude coordinate (in the World Geodetic System 1984 — WGS 84, EPSG:4326).y: Latitude coordinate (in the World Geodetic System 1984 — WGS 84, EPSG:4326).biome: Biome classification; cerrado, mata_atlantica (Atlantic Forest), pampa, amazonia, or caatinga.brasil_coverage_2021: Land use and land cover identifier from MapBiomas (see Methods).lulc: Land use and land cover categories from MapBiomas (see Methods).urban: Categorical classification indicating whether the cell is urban or non urban.prop_urban_buf_500: Proportion of urban cells within a 250-meter radius buffer around the cell assemblage (see Methods).n_checklist: Number of bird checklists (sampling effort).n_species: Number of bird species recorded in the cell assemblage.
mean_LociUVS: Mean LociUVS value among species in the cell.median_LociUVS: Median LociUVS value.min_LociUVS: Minimum LociUVS value.max_LociUVS: Maximum LociUVS value.var_LociUVS: Variance of LociUVS values.percentil_95: 95th percentile LociUVS value.cv_LociUVS: Coefficient of variation of LociUVS values.range_LociUVS: Range of LociUVS values (max − min).
mean_dichromatism: Mean dichromatism value among species in the cell.median_dichromatism: Median dichromatism value.min_dichromatism: Minimum dichromatism value.max_dichromatism: Maximum dichromatism value.var_dichromatism: Variance of dichromatism values.
mean_body_mass: Mean body mass (in grams).median_body_mass: Median body mass (in grams).min_body_mass: Minimum body mass (in grams).max_body_mass: Maximum body mass (in grams).var_body_mass: Variance of body mass (in grams).
count_megacolorful: Number of megacolorful species.count_smaller: Number of small-bodied species.count_medium: Number of medium-bodied species.count_larger: Number of large-bodied species.count_specialized: Number of diet-specialist species.count_omnivore: Number of omnivorous species.
presence_megacolorful: Presence (1) or absence (0) of megacolorful species based on 95th percentile LociUVS threshold.pres_mega_perc_95: Presence (1) or absence (0) of megacolorful species based on 95th percentile LociUVS threshold.pres_mega_perc_90: Presence (1) or absence (0) of megacolorful species based on 90th percentile LociUVS threshold.pres_mega_perc_85: Presence (1) or absence (0) of megacolorful species based on 85th percentile LociUVS threshold.pres_mega_perc_80: Presence (1) or absence (0) of megacolorful species based on 80th percentile LociUVS threshold.pres_mega_perc_75: Presence (1) or absence (0) of megacolorful species based on 75th percentile LociUVS threshold.
prop_smaller: Proportion of small-bodied species.prop_medium: Proportion of medium-bodied species.prop_larger: Proportion of large-bodied species.prop_specialized: Proportion of diet-specialist species.prop_omnivore: Proportion of omnivorous species.
urbanization_cat2: Urbanization category with two levels (see Methods).urbanization_cat3: Urbanization category with three levels (see Methods).urbanization_cat4: Urbanization category with four levels (see Methods).
We integrated bird checklists from a large-scale citizen science project comprehensive functional trait data from novel databases, and harmonized land cover information across different biomes to generate grid cell assemblages throughout Brazil.
For methodological details, see: Nascimento et al. 2025. Urbanization filters megacolorful, small-bodied, and diet-specialist species in tropical bird assemblages. Global Change Biology (DOI: 10.1111/gcb.70263).
