Cariveau Daniel P, Nayak Geetha K, Bartomeus Ignasi, Zientek Joseph, Ascher John S, Gibbs Jason, Winfree Rachael
Department of Entomology, University of Minnesota, Saint Paul, Minnesota, United States of America.
Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, New Jersey, United States of America.
PLoS One. 2016 Mar 17;11(3):e0151482. doi: 10.1371/journal.pone.0151482. eCollection 2016.
Allometric relationships among morphological traits underlie important patterns in ecology. These relationships are often phylogenetically shared; thus quantifying allometric relationships may allow for estimating difficult-to-measure traits across species. One such trait, proboscis length in bees, is assumed to be important in structuring bee communities and plant-pollinator networks. However, it is difficult to measure and thus rarely included in ecological analyses. We measured intertegular distance (as a measure of body size) and proboscis length (glossa and prementum, both individually and combined) of 786 individual bees of 100 species across 5 of the 7 extant bee families (Hymenoptera: Apoidea: Anthophila). Using linear models and model selection, we determined which parameters provided the best estimate of proboscis length. We then used coefficients to estimate the relationship between intertegular distance and proboscis length, while also considering family. Using allometric equations with an estimation for a scaling coefficient between intertegular distance and proboscis length and coefficients for each family, we explain 91% of the variance in species-level means for bee proboscis length among bee species. However, within species, individual-level intertegular distance was a poor predictor of individual proboscis length. To make our findings easy to use, we created an R package that allows estimation of proboscis length for individual bee species by inputting only family and intertegular distance. The R package also calculates foraging distance and body mass based on previously published equations. Thus by considering both taxonomy and intertegular distance we enable accurate estimation of an ecologically and evolutionarily important trait.
形态特征之间的异速生长关系是生态学中重要模式的基础。这些关系通常在系统发育上是共享的;因此,量化异速生长关系可能有助于估计跨物种难以测量的特征。蜜蜂的喙长就是这样一种特征,它被认为在构建蜜蜂群落和植物-传粉者网络中很重要。然而,它很难测量,因此很少被纳入生态分析。我们测量了7个现存蜜蜂科(膜翅目:细腰亚目:长角亚目)中5个科的100种786只蜜蜂个体的翅基距(作为体型的一种度量)和喙长(舌和下唇,分别测量以及合并测量)。使用线性模型和模型选择,我们确定了哪些参数能最好地估计喙长。然后我们使用系数来估计翅基距和喙长之间的关系,同时也考虑了科的因素。通过使用带有翅基距和喙长之间缩放系数估计值以及每个科系数的异速生长方程,我们解释了蜜蜂物种间喙长物种水平均值中91%的方差。然而,在物种内部,个体水平的翅基距对个体喙长的预测能力较差。为了使我们的研究结果易于使用,我们创建了一个R包,通过仅输入科和翅基距就能估计单个蜜蜂物种的喙长。该R包还根据先前发表的方程计算觅食距离和体重。因此,通过考虑分类学和翅基距,我们能够准确估计一个在生态学和进化上都很重要的特征。