Code from: Climate, ecological dynamics, and the seasonal distribution of birds in mountains

Biodiversity is unevenly distributed along elevational gradients. The predominant hypothesis is that macroevolutionary dynamics and climatic niche conservatism explain today’s elevational patterns of biodiversity, but the alternative energy efficiency hypothesis emphasizes modern ecological interactions related to energy budgets. We test these competing hypotheses by examining seasonal elevational ranges for 10,998 bird populations in 34 mountain regions. Multiple lines of evidence support the energy efficiency hypothesis, including that many mountain birds do not seasonally track their thermal niche with high fidelity, while simulation models based on optimal energy balancing under current environmental conditions yield predictions that tightly match empirical data. Our results reveal that altitudinal migration, which is widespread yet considerably understudied, is a behavioural mechanism fulfilling the same ecological function as long-distance latitudinal migration. Overall, this work..., , # Code from: Climate, ecological dynamics, and the seasonal distribution of birds in mountains

Dataset DOI: [10.5061/dryad.3j9kd51zq](https://doi.org/10.5061/dryad.3j9kd51zq)

## Description of the data and file structure

This repository contains the scripts needed to run the analyses presented in Somveille M, Freeman BG, La Sorte FA & Tuanmu M. Mountains as ecological arenas: how climate and competition shape the seasonal distribution of birds along elevational gradients. Science Advances

Large datasets (ebird data, climate data) must be downloaded using the links provided in the manuscript.

The code files are numbered and ordered as follows:

* 01_mountain_ranges.R contains the code for initial processing of the mountain range data. This script uses the file mountain-key.csv, which contains the name and ID of all mountain ranges as well as the files in ne_10m_geography_regions_polys.zip which contains the mountain range polygons. It outputs a shapefile containing the mountain rang...,

生物多样性沿海拔梯度呈非均匀分布格局。当前主流假说认为，宏观演化动态与气候生态位保守性是塑造当今生物多样性海拔分布模式的核心机制；而与之对立的能量效率假说（energy efficiency hypothesis）则强调与能量收支相关的现代生态相互作用的重要性。本研究通过分析34个山地区域内10998个鸟类种群的季节性海拔分布范围，对这两种相互竞争的假说开展检验。多项实证证据支持能量效率假说：其一，多数山地鸟类并未严格随季节精准追踪其热生态位（thermal niche）；其二，基于当前环境条件下最优能量平衡构建的模拟模型，其预测结果与经验观测数据高度吻合。本研究结果表明，广泛存在却长期未得到充分研究的垂直迁徙（altitudinal migration）行为，其生态功能与长距离纬度迁徙（latitudinal migration）完全一致。综上，本研究……

# 代码来源：《气候、生态动态与山地鸟类的季节性分布》
数据集DOI：[10.5061/dryad.3j9kd51zq](https://doi.org/10.5061/dryad.3j9kd51zq)

## 数据与文件结构说明
本仓库包含复现Somveille M、Freeman BG、La Sorte FA与Tuanmu M发表于《Science Advances》的论文《山地作为生态舞台：气候与竞争如何塑造鸟类沿海拔梯度的季节性分布》中分析流程所需的脚本。
大型数据集（eBird数据、气候数据）需通过论文中提供的链接下载。
代码文件按编号顺序编排如下：
* 01_mountain_ranges.R：用于山地范围数据初始处理的脚本。本脚本依赖文件mountain-key.csv（包含所有山地范围的名称与ID）以及ne_10m_geography_regions_polys.zip（内含山地范围多边形文件），最终输出包含山地范围的形状文件（Shapefile）……