Data from: Forest degradation and weather jointly affect early-life development in a tropical understory bird
Data files
Mar 21, 2026 version files 1.35 MB
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1.Rawdata.xlsx
179.18 KB
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10.Feeding.Rate_final.xlsx
58.93 KB
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2.Filtered_Rawdata.xlsx
185.74 KB
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3.ScaledMassIndex_SMI_final.xlsx
142.04 KB
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4.SMI_wing.ratio_final.xlsx
221.24 KB
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5.Weight_final.xlsx
143.68 KB
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6.Tarsus_length_final.xlsx
143.48 KB
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7.Wing_length_final.xlsx
127.58 KB
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8.Corticosterone_final.xlsx
58.76 KB
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9.Feeding.Rate_Raw.xlsx
80.56 KB
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README.md
4.42 KB
Abstract
Tropical forest birds face mounting pressures from habitat loss, degradation, and climate warming, yet their combined effects on early-life development remain unclear. Using over a decade of morphological and behavioural observations from Kenya’s Taita Hills and four years of nestling corticosterone measurements across eight forest patches differing in size and degradation, we examined how forest quality and climate shape nestling condition in the understorey insectivore placid greenbul (Phyllastrephus cabanisi placidus). Nestlings in smaller or more degraded patches showed lower body condition. Provisioning rates did not vary with forest quality, suggesting that poor condition in degraded habitats may result from lower prey quality rather than reduced parental effort. Unexpectedly, corticosterone levels were higher in larger forest patches, and nestlings with elevated corticosterone also showed more advanced wing development, indicating that corticosterone here may reflect developmental stage (readiness to fledge) rather than condition per se. In addition, nestling condition declined in hot weather. However, although body extremities were shorter in small or degraded patches at low temperatures, in hot weather nestlings developed extremities similar in length to those in larger, less degraded forest patches, consistent with short-term thermoregulatory plasticity. By contrast, in high-canopy areas tarsus growth decreased with increasing temperature, highlighting that multiple developmental mechanisms may operate simultaneously. High canopy cover also buffered body condition under dry weather, whereas nestlings in low-canopy habitats were particularly vulnerable during drought. Our findings demonstrate how forest degradation and climate interact to shape nestling growth, physiology, and potential thermal plasticity. Maintaining intact forest canopies and large forest patches is thus critical for preserving the microclimatic buffering needed to support offspring development in a warming climate. Because multiple, and sometimes opposing, developmental mechanisms may act simultaneously, integrating morphological, behavioural, and physiological indicators provides a powerful multi-metric approach to disentangle how habitat and climate jointly shape early-life development.
Dataset DOI: 10.5061/dryad.bg79cnpqz
Description of the data and file structure
The dataset comprises a decade of nestling morphological measurements and four years of nestling corticosterone data collected across eight natural forest patches in the Taita Hills, Kenya. In addition, nestling provisioning rates by adult carers are included. Using this comprehensive dataset, we investigated how variation in forest quality and climate conditions influences nestling condition in the understorey insectivore placid greenbul (Phyllastrephus cabanisi placidus).
Files and variables
File: 1.Rawdata.xlsx
Description: (n = 750). This file contains morphometric data of nestlings that have been sampled in the Taita Hills natural forest patches during the breeding season between 2007 and 2022. Information on the nest identification, forest patch and environmental data (weather and vegetation structure data based on LiDAR techniques) where each nestling was sampled can also be found in this file. However, some nests had missing information (predictor variables, e.g., environmental data, sex, nestling age or breeding female) and thus, nestlings with such missing information were not included in the final models investigating variation in body condition. Rows with missing information are indicated as NA.
Variables: A detailed description of variables is provided in the metadata within the file
File: 2.Filtered_Rawdata.xlsx
Description: (n = 726). This file is a subset of file 1. In the process of calculating the Scaled Mass Index (SMI), we excluded 24 out of 750 individuals that were apparent outliers based on log body weight on log tarsus length.
Variables: A detailed description of variables is provided in the metadata within the file
File: 3.ScaledMassIndex_SMI_final.xlsx
Description: (n = 531). This file contains the final dataset used in the models investigating variation in scaled mass index.
Variables: A detailed description of variables is provided in the metadata within the file
File: 4.SMI_wing.ratio_final.xlsx
Description: (n = 463). This file contains the final dataset used in the models investigating variation in SMI-to-wing length ratio.
Variables: A detailed description of variables is provided in the metadata within the file
File: 5.Weight_final.xlsx
Description: (n = 534). This file contains the final dataset used in the models investigating variation in nestling weight.
Variables: A detailed description of variables is provided in the metadata within the file
File: 6.Tarsus_length_final.xlsx
Description: (n = 537). This file contains the final dataset used in the models investigating variation in nestling tarsus length.
Variables: A detailed description of variables is provided in the metadata within the file
File: 7.Wing_length_final.xlsx
Description: (n = 470). This file contains the final dataset used in the models investigating variation in nestling wing length.
Variables: A detailed description of variables is provided in the metadata within the file
File: 8.Corticosterone_final.xlsx
Description: (n = 198). This file contains the final dataset used in the models investigating variation in nestling corticosterone levels.
Variables: A detailed description of variables is provided in the metadata within the file
File: 9.Feeding.Rate_Raw.xlsx
Description: (n = 250). This file contains information of feeding events recorded by videos placed at the nest sites.
Variables: A detailed description of variables is provided in the metadata within the file
File: 10.Feeding.Rate_final.xlsx
Description: (n = 171). This file contains the final dataset used in the models investigating variation in feeding rates. From 8, we discarded 79 videos that lasted < 4 hours or > 6 hours to minimize bias in feeding rates due to variation in feeding behaviour at different times of the day.
Variables: A detailed description of variables is provided in the metadata within the file
Code/software
The format of the files is in Microsoft Excel (.xlsx), and thus can be read by softwares such as R.
