Matching the green wave: Growing season length determines embryonic diapause in roe deer

The roe deer (Capreolus capreolus) is Europe’s most widespread ungulate, notable for its unique trait of embryonic diapause (delayed blastocyst implantation after mating) and an ongoing debate regarding how climate change affects its parturition timing. Given the relatively constant timing of the rut, roe deer could cope with advancing greening by adjusting its diapause end. Here, we bridge the gap on factors influencing roe deer’s diapause by analysing 389 uteri from legally hunted roe deer females in Germany (2017-2020), which we macroscopically examined for the presence of visible embryonic tissue to retrospectively identify the diapause end date. By employing a marginal Cox proportional hazard model, we tested associations between female phenotypic attributes, environmental conditions, and the probability of ending embryonic diapause prematurely. Our results confirmed that high-quality, well-conditioned and prime-aged females tend to terminate embryonic diapause earlier. We also dem..., , , # Matching the Green Wave: Growing Season Length Determines Embryonic Diapause in Roe Deer

[https://doi.org/10.5061/dryad.qz612jms1](https://doi.org/10.5061/dryad.qz612jms1)

## Description of the data and file structure

The following files accompany the manuscript \"Matching the Green Wave: Growing Season Length Predicts End of Embryonic Diapause in Roe Deer\"

1\. Matching_green_Wave_Data.csv

Dataframe holding the data for the analysis.

2\. Matching_The_Green_Wave_Code.R

Code to reproduce the results. The code was run on R version 4.4.2 on Platform: x86_64-pc-linux-gnu (64-bit)

Running under: Ubuntu 22.04.5 LTS

Base packages: stats, graphics, grDevices, utils, datasets, methods, base

To run the code, filepath for the data and for the saved pdf file must be changed.

### Files and variables

#### File: Matching\_green\_Wave\_Data.csv

**Description:** 

##### Variables

* PK: Primary Key
* Lab_Number: Internal reference
* Month_Number: Number of the month
* age_class: Classificat...,

狍（*Capreolus capreolus*）是欧洲分布最广泛的有蹄类动物，其独特的胚胎滞育（embryonic diapause，即交配后胚泡着床延迟）特性，以及关于气候变化如何影响其产仔时间的持续争议备受学界关注。鉴于狍的发情周期相对固定，其可通过调整胚胎滞育的终止时间，以应对植被返青提前的环境变化。

本研究针对影响狍胚胎滞育的相关因素填补了研究空白：我们对2017-2020年间德国合法狩猎的389头雌性狍的子宫进行分析，通过宏观检视是否存在可见胚胎组织，回溯确定其胚胎滞育的终止日期。本研究采用边际Cox比例风险模型（marginal Cox proportional hazard model），检验了雌性个体表型特征、环境条件与提前终止胚胎滞育概率之间的关联。研究结果证实，体况优良、健康状况佳且处于壮年的雌性狍往往会更早终止胚胎滞育。本研究还[...]

# 匹配绿色浪潮：生长季长度决定狍子胚胎滞育终止时机

[https://doi.org/10.5061/dryad.qz612jms1](https://doi.org/10.5061/dryad.qz612jms1)

## 数据与文件结构说明

本研究论文《匹配绿色浪潮：生长季长度预测狍子胚胎滞育终止时机》附带以下文件：

1. Matching_green_Wave_Data.csv
承载分析所用数据的数据框。

2. Matching_The_Green_Wave_Code.R
用于复现研究结果的代码。本代码基于R 4.4.2版本运行，运行平台为x86_64-pc-linux-gnu（64位），操作系统为Ubuntu 22.04.5 LTS。所依赖的基础包包括：stats、graphics、grDevices、utils、datasets、methods、base。运行代码前需修改数据文件路径与结果PDF文件的保存路径。

### 文件与变量

#### 文件：Matching_green_Wave_Data.csv
**描述：**

##### 变量
* PK：主键（Primary Key）
* Lab_Number：内部参考编号
* Month_Number：月份数字编码
* age_class：年龄分级[...]