Biology Department, George Mason University, 4400 University Dr., Fairfax, VA 22030, USA.
Smithsonian Conservation Biology Institute, 1500 Remount Road, Front Royal, VA 22630, USA.
Proc Biol Sci. 2023 Jun 28;290(2001):20230742. doi: 10.1098/rspb.2023.0742. Epub 2023 Jun 21.
Classic ecological theory has proven that temperature, precipitation and productivity organize ecosystems at broad scales and are generalized drivers of biodiversity within different biomes. At local scales, the strength of these predictors is not consistent across different biomes. To better translate these theories to localized scales, it is essential to determine the links between drivers of biodiversity. Here we harmonize existing ecological theories to increase the predictive power for species richness and functional diversity. We test the relative importance of three-dimensional habitat structure as a link between local and broad-scale patterns of avian richness and functional diversity. Our results indicate that habitat structure is more important than precipitation, temperature and elevation gradients for predicting avian species richness and functional diversity across different forest ecosystems in North America. We conclude that forest structure, influenced by climatic drivers, is essential for predicting the response of biodiversity with future shifts in climatic regimes.
经典生态学理论已经证明,温度、降水和生产力在大尺度上组织生态系统,是不同生物群落中生物多样性的广义驱动因素。在小尺度上,这些预测因子的强度在不同的生物群落中并不一致。为了更好地将这些理论转化为本地化尺度,确定生物多样性驱动因素之间的联系至关重要。在这里,我们协调现有的生态学理论,以提高对物种丰富度和功能多样性的预测能力。我们测试了三维栖息地结构作为鸟类丰富度和功能多样性的局地和大尺度格局之间联系的重要性。我们的研究结果表明,与降水、温度和海拔梯度相比,栖息地结构对预测北美的不同森林生态系统中的鸟类物种丰富度和功能多样性更为重要。我们的结论是,森林结构受气候驱动因素的影响,对于预测生物多样性对未来气候格局变化的响应至关重要。