Climatic predictors of long-distance migratory birds’ breeding productivity across Europe

Ongoing climate changes represent a major determinant of demographic processes in many organisms worldwide. Birds, and especially long-distance migrants, are particularly sensitive to such changes. To better understand these impacts on long-distance migrants’ breeding productivity, we tested three hypotheses focused on (i) the shape of the relationships with different climate variables, including previously rarely tested quadratic responses, and on regional differences in these relationships predicted by (ii) mean climatic conditions and (iii) by the rate of climate change in respective regions ranging from Spain to Finland. We calculated breeding productivity from constant effort ringing sites from 11 European countries covering 34 degrees of latitude, and extracted temperature- and precipitation-related climate variables from E-OBS and NASA MODIS datasets. To test our hypotheses, we fitted GLMM and Bayesian meta-analytic models. We revealed hump-shaped responses of productivity to tem..., , , # Bird\_breeding\_productivity\_data

[https://doi.org/10.5061/dryad.fxpnvx0zt](https://doi.org/10.5061/dryad.fxpnvx0zt)

This folder contains data sets (**Bird_prod_data.csv, Clim_mean_prod_lin.csv, Clim_mean_prod_poly.csv, Clim_trend_PCA_prod_lin.csv, Clim_trend_PCA_prod_poly.csv**), models (.rds files; see below for their naming scheme) and code (**R-script_bird_prod.R**) related to the article:
*Climatic predictors of long-distance migratory birds’ breeding productivity across Europe*

## Description of the data and file structure

The data is stored in subfolder \"Data\"

**Bird_prod_data.csv**

* *Reg*: breeding region; CZP = the Czech Republic, DEG-DKC = Germany and Denmark, ESP = Spain, FRP_N = northern part of France, FRP_S = central & southern part of France, GBT_N = northern parts of Great Britain – Wales and England, Scotland, Northern Ireland – and Ireland, GBT_S = southern parts of Great Britain – England and Wales, HGB = Hungary, NLA = the Netherlands, SFH = Finland, S...

持续的气候变化是全球众多生物种群动态过程的关键驱动因素。鸟类，尤其是长距离迁徙鸟类，对此类变化尤为敏感。为更深入地厘清此类变化对长距离迁徙鸟类繁殖生产力的影响，我们检验了三项核心假说：其一，繁殖生产力与不同气候变量间的关系形态，其中包含此前极少被验证的二次响应关系；其二，上述关系的区域差异由平均气候条件所决定；其三，上述关系的区域差异由对应区域（从西班牙至芬兰）的气候变化速率所决定。

我们基于11个欧洲国家的恒定努力环志站点数据计算了繁殖生产力，覆盖纬度跨度达34度，并从E-OBS与NASA MODIS数据集提取了与气温、降水相关的气候变量。为验证假说，我们构建了广义线性混合模型（Generalized Linear Mixed Model, GLMM）与贝叶斯元分析模型。研究揭示了繁殖生产力对气温的驼峰型响应……

# 鸟类繁殖生产力数据集（Bird_breeding_productivity_data）
DOI: 10.5061/dryad.fxpnvx0zt

本文件夹包含与论文《欧洲范围内长距离迁徙鸟类繁殖生产力的气候预测因子》相关的数据集（**Bird_prod_data.csv、Clim_mean_prod_lin.csv、Clim_mean_prod_poly.csv、Clim_trend_PCA_prod_lin.csv、Clim_trend_PCA_prod_poly.csv**）、模型文件（.rds格式文件；命名规则详见下文）以及代码文件（**R-script_bird_prod.R**）。

## 数据与文件结构说明
数据存储于子文件夹"Data"中。

### Bird_prod_data.csv
* Reg：繁殖区域；CZP = 捷克共和国，DEG-DKC = 德国与丹麦，ESP = 西班牙，FRP_N = 法国北部，FRP_S = 法国中南部，GBT_N = 大不列颠及爱尔兰北部（含威尔士、英格兰、苏格兰、北爱尔兰），GBT_S = 大不列颠及爱尔兰南部（含英格兰与威尔士），HGB = 匈牙利，NLA = 荷兰，SFH = 芬兰，S……