Welti Ellen A R, Joern Anthony
Department of Biology, University of Oklahoma, 730 Van Vleet Oval, Norman, OK, 73019, USA.
Division of Biology, Kansas State University, 116 Ackert Hall, Manhattan, KS, 66506-4901, USA.
Oecologia. 2018 Feb;186(2):517-528. doi: 10.1007/s00442-017-4019-9. Epub 2017 Dec 2.
Significant loss of pollinator taxa and their interactions with flowering plants has resulted in growing reductions to pollination services globally. Ecological network analysis is a useful tool for evaluating factors that alter the interaction structure and resistance of systems to species loss, but is rarely applied across multiple empirical networks sampled within the same study. The non-random arrangement of species interactions within a community, or "network structure" such as nested or modular organization, is predicted to prevent extinction cascades in ecological networks. How ecological gradients such as disturbance regimes shape network structural properties remains poorly understood despite significant efforts to quantify interaction structure in natural systems. Here, we examine changes in the structure of plant-floral visitor networks in a tallgrass prairie using a decadal and landscape-scale experiment that manipulates prescribed burn frequency and ungulate grazing, resulting in different grassland states. Plant and floral visitor communities and accompanying network structure were impacted by grassland fire and grazing regimes. The presence of grazers increased flowering plant species richness, network floral visitor species richness, and decreased network nestedness. Fire frequency affected flowering plant and floral visitor community composition; community composition impacted network specialization and modularity. Grassland state resulting from fire-grazing interactions has important implications for the resistance of flowering plant and floral visitor communities to species loss.
传粉者类群及其与开花植物相互作用的显著丧失,导致全球传粉服务持续减少。生态网络分析是评估改变系统相互作用结构和对物种丧失抵抗力的因素的有用工具,但很少应用于同一研究中采样的多个实证网络。群落内物种相互作用的非随机排列,即“网络结构”,如嵌套或模块化组织,预计可防止生态网络中的灭绝级联反应。尽管人们在量化自然系统中的相互作用结构方面付出了巨大努力,但诸如干扰 regime 等生态梯度如何塑造网络结构属性仍知之甚少。在此,我们利用一项为期十年的景观尺度实验,研究了高草草原植物-访花者网络结构的变化,该实验操纵了规定的火烧频率和有蹄类动物放牧,从而导致不同的草地状态。植物和访花者群落以及伴随的网络结构受到草地火灾和放牧制度的影响。食草动物的存在增加了开花植物物种丰富度、网络访花者物种丰富度,并降低了网络嵌套性。火烧频率影响开花植物和访花者群落组成;群落组成影响网络专业化和模块化。火-放牧相互作用导致的草地状态对开花植物和访花者群落对物种丧失的抵抗力具有重要影响。