Assessing taxonomic and functional change in British breeding bird assemblages over time
Assessing taxonomic and functional change in British breeding bird assemblages over time
复制标题
评估英国种鸟组合随时间的分类和功能变化
DOI：
10.1111/geb.13468
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发表时间：
2022
影响因子：
6.4
通讯作者：
T. Matthews
中科院分区：
文献类型：
--
作者：
J. Wayman;J. Sadler;T. Pugh;Thomas E. Martin;J. Tobias;T. Matthews
AimThe aim was to identify the primary drivers of composition change in breeding bird associations over a 40 years period.LocationBritain.Time period From 1970 to 2010. Major taxa studied Birds.MethodsUsing morphological trait measurements and a dataset of presence-absence data for British breeding birds surveyed in 10 km × 10 km hectads during two times periods，我们计算了每个公顷的时间分类和功能β多样性以及物种丰富度、平均最近分类距离（MNTD）和平均成对距离（MPD）的变化。我们还估计了β多样性的潜在驱动因素，包括1970年的气候和土地利用和土地覆盖（LULC）变化变量，海拔和组合物种丰富度（1970 rich）。我们使用随机森林回归来测试哪些变量最能解释组合中的成分变化。我们还评估了空间分类和功能的变化，通过分析多站点β多样性和成对的时间periods.ResultsInitial（1970年）物种丰富度是最重要的预测（最高的重要性得分）在所有模型中，具有较高的初始丰富度经历较少的组合变化的整体特征的地区。为捕捉数据中的空间自相关性而纳入的坐标也是变化的重要预测因素。大多数气候和LULC变量的解释力相对较低，海拔和平均温度是最有影响力的。所有指标略有增加，随着海拔的增加，除了物种丰富度的变化和MPD，decreased.Main conclusionsThe组成的英国繁殖鸟类组合大幅改变1970年和2010年之间。空间异质性增加，分类和功能。我们的证据表明，hectads与较大的组合已缓冲时间多样性的变化，在较高的海拔变化比那些在较低的海拔组成。总体而言，粗分辨率气候和LULC仅解释了少量到中等量的变化，这表明随机组合变化或更细尺度的驱动因素可能是组合组成随时间变化的驱动因素。
AimThe aim was to identify the primary drivers of compositional change in breeding bird assemblages over a 40‐year period.LocationBritain.Time periodFrom 1970 to 2010.Major taxa studiedBirds.MethodsUsing morphological trait measurements and a dataset of presence–absence data for British breeding birds surveyed in 10 km × 10 km hectads during two time periods, we calculated temporal taxonomic and functional beta diversity for each hectad alongside the change in species richness, mean nearest taxon distance (MNTD) and mean pairwise distance (MPD). We also estimated potential drivers of beta diversity, including climatic and land‐use and land‐cover (LULC) change variables, elevation and assemblage species richness in 1970 (1970rich). We used random forest regressions to test which variables best explained compositional change in the assemblages. We also assessed spatial taxonomic and functional change by analysing multiple‐site beta diversity and pairwise dissimilarities between time periods.ResultsInitial (1970) species richness was the most important predictor (highest importance score) across all models, with areas characterized by higher initial richness experiencing less assemblage change overall. The coordinates included to capture spatial autocorrelation in the data were also important predictors of change. Most climate and LULC variables had relatively low explanatory power; elevation and average temperature were the most influential. All metrics increased slightly with increasing elevation, except for species richness change and MPD, which decreased.Main conclusionsThe composition of British breeding bird assemblages changed substantially between 1970 and 2010. Spatial heterogeneity increased, both taxonomically and functionally. We show evidence that hectads with larger assemblages have been buffered from temporal diversity change and that those at higher elevations changed more in composition than those at lower elevations. Overall, coarse‐resolution climate and LULC explained only small to moderate amounts of variation, suggesting that stochastic assembly change or finer‐scale drivers might be drivers of temporal changes in assemblage composition.
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