Data and code from: Temperature and precipitation niche dynamics shape avian elevational shift strategies in the Hengduan Mountains
Data files
Apr 16, 2026 version files 50.89 MB
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1-Calculation_of_seasonal_elevation_distribution.R
4.38 KB
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2-Environmental_data_process.R
3.20 KB
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3-niche_metric_Analysis.R
15.26 KB
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README.md
2.06 KB
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resampling_elevation_data.txt
50.77 MB
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resampling_movement_classification.txt
92.58 KB
May 26, 2026 version files 47.69 MB
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1-Calculation_of_seasonal_elevation_distribution.R
5.04 KB
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2-Environmental_data_process.R
3.07 KB
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3-niche_metric_Analysis.R
15.30 KB
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README.md
1.49 KB
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resampling_elevation_data.txt
47.61 MB
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resampling_movement_classification.txt
50.57 KB
Abstract
Avian seasonal elevational migration is a key life-history strategy for adapting to environmental changes, widely observed across global bird populations. Within elevational migrants, diverse movement strategies have been documented in multiple regions worldwide. In this study, we analyzed beeding species exhibiting pronounced seasonal elevational shifts in the Hengduan Mountains of southwestern China by synthesizing multi-source observational data. We identified distinct migration patterns and quantified their proportional representation. Further, we investigated differential adaptation to climate change among elevational migration strategies by integrating species-specific thermal and precipitation tolerances, seasonal extremes, and shifts in tolerance ranges. Our findings reveal distinct climatic adaptation strategies among elevational migration strategies. Species migrating upward during the breeding season exhibited significantly contracted thermal and precipitation tolerance ranges in the non-breeding season, whereas downward migrants showed no significant seasonal differences in tolerance ranges. Additionally, seasonal changes in thermal and precipitation tolerance ranges influenced the elevational distribution limits of elevational migrants, albeit with contrasting directional effects. These results underscore the importance of seasonal variation in climatic extremes—rather than means—in shaping climatic niches and highlight differential sensitivities to climate change among elevational migration strategies.
Dataset DOI: 10.5061/dryad.5mkkwh7hh
Description of the data and file structure
The dataset was generated through a multi-stage ecological study investigating avian elevational migration patterns in the Hengduan Mountain Region, China.
Files and variables
File: 1-Calculation_of_seasonal_elevation_distribution.R
Description: Resampling procedures and elevational shift classification.
File: 2-Environmental_data_process.R
Description: Quantification of species-specific climatic niches across elevational gradients.
File: 3-niche_metric_Analysis.R
Description: Core ecological metric calculations and primary data analysis.
File: resampling_movement_classification.txt
Description: Resampled elevational shift classification data
Variables
- median_diff: Difference in median elevation between breeding and non-breeding seasons
- median_ci_lower: Lower bound of 95 % confidence interval for median elevation difference
- median_ci_upper: Upper bound of 95 % confidence interval for median elevation difference
- movement_type:E levational migration strategy classification
- dataset: Resampling group identifier
File: resampling_elevation_data.txt
Description:
Variables
- median_elevation: Median elevation (distribution center)
- upper_elevation: Upper elevation boundary (95th percentile)
- lower_elevation: Lower elevation boundary (5th percentile)
Changes after Apr 16, 2026: Updated the public analysis scripts to provide additional clarification and improve the readability of the accompanying data products. Changes include adding clearer explanations of variable names, movement-type labels, and seasonal elevation-difference definitions, as well as simplifying exported derived data tables for easier interpretation.
