Data for: The role of landscape in shaping bird community and implications for landscape management at Nanjing Lukou International Airport

Understanding the patterns of bird diversity and its driving force is necessary for bird strike prevention. In this study, we investigated the effects of landscape attributes on phylogenetic and functional diversity of bird communities at Nanjing Lukou International Airport (NLIA). Bird identifications and counting of individuals were carried out from November 2017 to October 2019. Based on the land cover data, the landscape was divided into four main types, including farmlands, woodlands, wetlands and urban areas. Bird phylogenetic and functional diversity were strongly affected by landscape matrix types. Bird species, phylogenetic and functional richness were highest in woodlands, while phylogenetic and functional structure were most complex in wetlands. We found that related carnivorous birds occupied most niches at the NLIA. Moreover, bird assemblages exhibited phylogenetic and functional clustering in all landscape matrix types, which meant environmental filtering governed communit..., Wavelet analysis, a spectral decomposition technique, was used to determine the key spatial scale that was important to quantify the relative influence of matrix types on species' distributions. We generated 1, 000 random points within 8 km radius extent from the NLIA and extracted their land-cover types. Then we ran the wavelet analysis with MATLAB 9.9 (MathWorks, Natick, Massachusetts; https://ww2.mathworks.cn/products/matlab.html). The result showed that a 288-m radius from the center of each point was appropriate. We then randomly selected 9 sampling points in farmlands, 7 in wetlands, 5 in woodlands and 4 in urban areas (25 points in total) to make sure that sampling effort on each matrix type was roughly proportional to its area. Sampling points were at least 576m apart. From November 2017 to October 2019, we carried out point-count bird surveys monthly. Each observation was in 20 minutes. We usually surveyed birds on sunny and windless days. We recorded all birds seen or heard an..., The data files included with our submission can be opened with R or RStudio for further analysis.阐明鸟类多样性的分布模式及其驱动机制，对鸟击防范工作至关重要。本研究以南京禄口国际机场（Nanjing Lukou International Airport, NLIA）为研究区域，探讨了景观属性对鸟类群落系统发育多样性与功能多样性的影响。研究于2017年11月至2019年10月期间开展鸟类物种鉴定与个体数量统计工作。基于土地覆盖数据，研究区域的景观被划分为农田、林地、湿地与城市用地四类主要类型。鸟类系统发育与功能多样性显著受景观基质类型的调控：鸟类物种丰富度、系统发育丰富度与功能丰富度在林地中达到最高水平，而系统发育与功能群落结构在湿地中最为复杂。本研究发现，亲缘关系相近的肉食性鸟类占据了南京禄口国际机场内的多数生态位。此外，所有景观基质类型下的鸟类群落均呈现出系统发育与功能聚类特征，表明环境过滤主导了群落（原文截断）。小波分析（Wavelet analysis）作为一种光谱分解技术，被用于确定关键空间尺度，以量化基质类型对物种分布的相对影响。本研究在南京禄口国际机场周边8公里半径范围内生成1000个随机采样点，并提取各点的土地覆盖类型，随后使用MATLAB 9.9（MathWorks，美国马萨诸塞州内蒂克市；https://ww2.mathworks.cn/products/matlab.html）完成小波分析。分析结果显示，以每个采样点为中心的288米半径范围为适宜分析尺度。随后，我们按各基质类型的面积比例，随机选取了农田内9个、湿地内7个、林地内5个以及城市用地内4个采样点（总计25个），且采样点之间的间距不小于576米。2017年11月至2019年10月期间，我们每月开展定点计数鸟类调查：每次观测时长为20分钟，通常选择晴朗无风的天气进行，并记录所有目视或听闻所见的鸟类（原文截断）。本研究提交的配套数据文件可通过R或RStudio打开，用于后续分析。