Turnley Benjamin D, Kazenel Melanie R, Wright Karen W, Griswold Terry L, Rudgers Jennifer A, Whitney Kenneth D
Department of Biology, University of New Mexico, Albuquerque, NM, 87131, USA.
Sevilleta Long Term Ecological Research Program, La Joya, NM, USA.
Oecologia. 2025 Jun 2;207(6):96. doi: 10.1007/s00442-025-05732-1.
Climate change in the American Southwest is reshaping species assemblages. However, the resulting patterns in mean trait values and functional diversity are poorly understood. Bee assemblages in Southwestern drylands are exceptionally diverse, with species varying greatly in their morphological traits. In this study, we addressed two questions: Do climate variables associated with aridity predict community-weighted mean trait values? Has bee assemblage functional diversity declined under increasing aridity? To answer these questions, we utilized 16 years of abundance data for 33 focal bee species within a hyperdiverse bee assemblage at the Sevilleta National Wildlife Refuge (NM, USA), combined with measurements of a suite of five morphological traits hypothesized to mediate climate change responses: body size, wing size, lightness, face hairiness, and thorax hairiness. Our models reveal that community-level responses to climate are trait-specific and vary seasonally: aridity is more predictive in the spring, while temperature and precipitation are more predictive of trait shifts during the monsoon season. With less precipitation, higher temperatures, and increased aridity, bee species that have large bodies, large wings, are lightly colored, and are hairy appear favored. The functional richness of the Sevilleta bee assemblage increased with aridity in the spring and decreased with precipitation in the monsoon season. Functional evenness and functional divergence did not co-vary with any climate variable. We conclude that characteristics of bee assemblages such as community average trait values and functional diversity may change predictably with the increased aridity forecast for this region in the future.
美国西南部的气候变化正在重塑物种组合。然而,人们对由此产生的平均性状值和功能多样性模式却知之甚少。西南部干旱地区的蜜蜂组合异常多样,其物种在形态特征上差异很大。在本研究中,我们探讨了两个问题:与干旱相关的气候变量能否预测群落加权平均性状值?在干旱加剧的情况下,蜜蜂组合的功能多样性是否下降?为了回答这些问题,我们利用了美国新墨西哥州塞维列塔国家野生动物保护区一个高度多样化蜜蜂组合中33种重点蜜蜂物种16年的丰度数据,并结合了对一组假设能介导气候变化响应的五个形态特征的测量:体型、翅展、亮度、面部多毛度和胸部多毛度。我们的模型显示,群落对气候的响应具有性状特异性且随季节变化:干旱在春季的预测性更强,而温度和降水在季风季节对性状变化的预测性更强。随着降水量减少、温度升高和干旱加剧,体型大、翅展大、颜色浅且多毛的蜜蜂物种似乎更具优势。塞维列塔蜜蜂组合的功能丰富度在春季随干旱加剧而增加,在季风季节随降水减少而降低。功能均匀度和功能离散度与任何气候变量均无协同变化。我们得出结论,随着未来该地区干旱加剧,蜜蜂组合的特征,如群落平均性状值和功能多样性,可能会发生可预测的变化。