A wide range of abiotic and biotic variables leaves most variation in bird nest architecture unexplained

Nests are the locations or containers for offspring, and mediate interactions between offspring and the environment. However, understanding how environmental factors shape the evolution of nest architecture is complicated. In particular, the relative contributions of biotic (e.g., protection from predation) and abiotic (e.g., microclimate maintenance) factors to the evolution of nest architecture have not been clearly quantified, and multiple nest traits, such as their location or shape, are rarely considered together. Here, we use a dataset of 3,685 bird species with complete data across five different nest traits (out of a wider dataset of 10,528 species included in the repository), to characterise a multivariate ‘morphospace’ of nest architecture. We achieve this using ordination methods, namely a principal coordinate analysis. Then, we use all derived axes of variation in nest morphospace and multivariate phylogenetic comparative methods used for geometric data to explore whether ab..., , # Data from: A wide range of abiotic and biotic variables leaves most variation in bird nest architecture unexplained

Access this dataset at DRYAD: [https://doi.org/10.5061/dryad.2ngf1vj0x](<https://doi.org/10.5061/dryad.2ngf1vj0x >)

The dataset contains all information, including original data, directions to third-party datasets, and R scripts necessary to replicate all of the datasets, results, and figures reported in the manuscript:
\"A wide range of abiotic and biotic variables leave most variation in bird nest architecture unexplained\" submitted to *Proc Roy Soc B*.

## Description of the data and file structure

Code in the different subrepositories should be run in order of the number of subrepositories (01–06). All original datafile have their column descriptions. Third party data is provided with links to download pages with associated metadata (not provided here unless altered).

NB: this repository is provided clean of outputs. All scripts need to be run in order to generat...,

巢穴是子代的栖息场所或载体，同时介导子代与环境之间的相互作用。然而，解析环境因素如何塑造巢穴结构的演化过程极具复杂性。具体而言，生物因素（例如抵御捕食）与非生物因素（例如维持微气候）对巢穴结构演化的相对贡献尚未得到明确量化，且诸如巢穴位置、形状等多项巢穴性状鲜少被联合纳入考量。
本研究依托如下数据集：在仓库收录的10528个鸟类物种的原始数据集中，我们选取了3685个具备5项完整巢穴性状数据的物种，旨在刻画巢穴结构的多元形态空间（morphospace）。我们通过排序分析方法——即主坐标分析（principal coordinate analysis）——实现这一目标。随后，我们利用巢穴形态空间中所有衍生的变异轴，以及适用于几何数据的多元系统发育比较方法，探究相关演化驱动机制......
# 数据来源：《多样的非生物与生物变量仍无法解释鸟类巢穴结构的大部分变异》
可在DRYAD获取本数据集：https://doi.org/10.5061/dryad.2ngf1vj0x
本数据集包含所有必要信息，包括原始数据、第三方数据集获取指南，以及复现论文中所有数据集、结果与图表所需的R脚本。该论文题为《多样的非生物与生物变量仍无法解释鸟类巢穴结构的大部分变异》，已提交至《英国皇家学会学报B辑》。

## 数据与文件结构说明
不同子仓库中的代码需按照子仓库编号顺序（01至06）运行。所有原始数据文件均附带字段说明。第三方数据附带下载链接与关联元数据（除非经过修改，否则此处不提供第三方数据本身）。
注意：本仓库已移除所有输出结果，需运行全部脚本以生成......