Functional reorganization of North American wintering avifauna

This database contains all data used to analyzed temporal trends of wintering bird communities in the last five decades in the United States. Description Bird Abundance We used data the Audubon CBC, a bird monitoring program initiated in 1900 focus in identify and count wintering birds within circles of 24-km diameter. We focused our analysis on 1967-2018 and 1,183 locations in the United States. Considering the number of individuals observed per species in the different locations over time, we used N-mixture models to estimate abundance corrected for species imperfect detection. Bird Traits We used four trait categories (i.e., body mass, morphological characteristics, diet and foraging niche) to classified all species observed over time. The trait data were collected from Tobias et al. (2022) and Wilman et al. (2014). References: Tobias, J.A., Sheard, C., Pigot, A.L., Devenish, A.J.M., Yang, J., Sayol, F., et al. (2022). AVONET: morphological, ecological and geographical data for all birds. Ecol Lett. 23, 581- 597. Wilman, H., Belmaker, J., Simpson, J., de la Rosa, C., Rivadeneira, M.M., Jetz, W. (2014). EltonTraits 1.0: Species-level foraging attributes of the world's birds and mammals. Ecology 95, 2027-2027. Data Data are provided in the form of R Data Serialization (.rds) and comma-separated files (.csv). These data were grouped in two categories: List of files File: commMats_byYear.rds (This file is a list with 52 dataframes nested, which contain the abundance estimates per species in each location). File: Coords.rds (This file contains the geographical coordinates of each location) File: climate.csv (This file contains abiotic data, such as precipitation, maximun, minimum, and mean temperatures per location over time). File: cwm_full.rds (This file contains the Community Weight Mean "CWM" results) File: DB_FIndex.rds (This file contains all the functional indices estimates in each location over time) File: elevation_data.csv (This file contains the elevation data extracted per location) File: mcfric_max_minTemp.rds (This file contains model results using the functional richness) File: mcdim1_max_minTemp.rds (This file contains model results using the trait dimension 1) File: mcdim2_max_minTemp.rds (This file contains model results using the trait dimension 2) File: MFA_Results.rds (This file contains the multiple factor analysis "MFA" results) File: mfdiv_max_minTemp.rds (This file contains model results using the functional divergence) File: mfeve_max_minTemp.rds (This file contains model results using the functional evenness) File: mfori_max_minTemp.rds (This file contains model results using the functional originality) File: msric_max_minTemp.rds (This file contains model results using the species richness) File: nullFRic.rds (This file contains the null models) File: RegionalPool_coord.csv (This file contains the NEON domains and locations) File: Traits_Birds.csv (This file contains all the bird traits compiled) If you use any dataset please cite the article above and the original reference for the data set.

本数据库收录了用于分析美国近50年来越冬鸟类群落时间动态的全部相关数据。

## 鸟类丰度数据
本研究采用奥杜邦圣诞鸟类统计（Audubon CBC）数据——该鸟类监测项目始于1900年，旨在对直径24公里圆形区域内的越冬鸟类开展识别与计数工作。本次分析聚焦1967年至2018年期间美国境内的1183个监测点位。针对不同监测点位各物种随时间变化的观测个体数量，我们采用N混合模型（N-mixture models）校正物种不完全检测带来的偏差，以估算真实种群丰度。

## 鸟类功能性状数据
我们选取四大类功能性状类别，即体重、形态特征、食性与觅食生态位，对研究期间观测到的所有鸟类物种进行分类。相关性状数据取自Tobias等人（2022）与Wilman等人（2014）的研究成果。

### 参考文献
Tobias, J.A., Sheard, C., Pigot, A.L., Devenish, A.J.M., Yang, J., Sayol, F., et al. (2022). AVONET: morphological, ecological and geographical data for all birds. *Ecol Lett*. 23, 581–597.
Wilman, H., Belmaker, J., Simpson, J., de la Rosa, C., Rivadeneira, M.M., Jetz, W. (2014). EltonTraits 1.0: Species-level foraging attributes of the world's birds and mammals. *Ecology* 95, 2027–2027.

## 数据文件说明
本数据集以R数据序列化格式（.rds）与逗号分隔值格式（.csv）存储，具体文件清单如下：
1. "commMats_byYear.rds"：该文件为嵌套52个数据框的列表，存储各监测点位各物种的年度丰度估算值。
2. "Coords.rds"：该文件包含所有监测点位的地理坐标信息。
3. "climate.csv"：该文件包含各监测点位随时间变化的非生物环境数据，包括降水量、最高气温、最低气温与平均气温。
4. "cwm_full.rds"：该文件包含群落加权均值（Community Weight Mean, CWM）分析结果。
5. "DB_FIndex.rds"：该文件包含各监测点位随时间变化的所有功能指数估算结果。
6. "elevation_data.csv"：该文件包含各监测点位提取得到的海拔数据。
7. "mcfric_max_minTemp.rds"：该文件包含基于功能丰富度构建的模型分析结果。
8. "mcdim1_max_minTemp.rds"：该文件包含基于第一性状维度构建的模型分析结果。
9. "mcdim2_max_minTemp.rds"：该文件包含基于第二性状维度构建的模型分析结果。
10. "MFA_Results.rds"：该文件包含多因素分析（Multiple Factor Analysis, MFA）结果。
11. "mfdiv_max_minTemp.rds"：该文件包含基于功能分歧度构建的模型分析结果。
12. "mfeve_max_minTemp.rds"：该文件包含基于功能均匀度构建的模型分析结果。
13. "mfori_max_minTemp.rds"：该文件包含基于功能原创性构建的模型分析结果。
14. "msric_max_minTemp.rds"：该文件包含基于物种丰富度构建的模型分析结果。
15. "nullFRic.rds"：该文件包含零模型分析结果。
16. "RegionalPool_coord.csv"：该文件包含NEON区域域与监测点位信息。
17. "Traits_Birds.csv"：该文件包含所有汇编得到的鸟类功能性状数据。

若您使用本数据集，请引用本文献及相关原始数据集的参考文献。