McKenna Thomas P, McDonnell Jack, Yurkonis Kathryn A, Brophy Caroline
Kansas Biological Survey University of Kansas Lawrence KS USA.
Department of Mathematics and Statistics Maynooth University Maynooth Ireland.
Ecol Evol. 2019 Oct 9;9(21):12171-12181. doi: 10.1002/ece3.5696. eCollection 2019 Nov.
Biodiversity and Ecosystem Function analyses aim to explain how individual species and their interactions affect ecosystem function. With this study, we asked in what ways do species interact, are these interactions affected by species planting pattern, and are initial (planted) proportions or previous year (realized) proportions a better reference point for characterizing grassland diversity effects?We addressed these questions with experimental communities compiled from a pool of 16 tallgrass prairie species. We planted all species in monocultures and mixtures that varied in their species richness, evenness, and spatial pattern. We recorded species-specific biomass production over three growing seasons and fitted Diversity-Interactions (DI) models to annual plot biomass yields.In the establishment season, all species interacted equally to form the diversity effect. In years 2 and 3, each species contributed a unique additive coefficient to its interaction with every other species to form the diversity effect. These interactions were affected by and the species planting pattern. Models based on species planted proportions better-fit annual plot yield than models based on species previous contributions to plot biomass.Outcomes suggest that efforts to plant tallgrass prairies to maximize diversity effects should focus on the specific species present and in what arrangement they are planted. Furthermore, for particularly diverse grasslands, the effort of collecting annual species biomass data may not be necessary when quantifying diversity effects with DI models.
生物多样性与生态系统功能分析旨在解释单个物种及其相互作用如何影响生态系统功能。在本研究中,我们探讨了物种如何相互作用,这些相互作用是否受物种种植模式的影响,以及初始(种植)比例或上一年(实现)比例哪个是表征草地多样性效应的更好参考点?我们用从16种高草草原物种中选取的实验群落来解决这些问题。我们将所有物种种植成单一栽培和混合栽培,其物种丰富度、均匀度和空间模式各不相同。我们记录了三个生长季节中特定物种的生物量生产,并将多样性-相互作用(DI)模型应用于年度样地生物量产量。在建立季节,所有物种以相同方式相互作用以形成多样性效应。在第2年和第3年,每个物种在与其他每个物种的相互作用中贡献一个独特的加性系数以形成多样性效应。这些相互作用受物种种植模式影响。基于物种种植比例的模型比基于物种先前对样地生物量贡献的模型更能拟合年度样地产量。结果表明,为使高草草原的多样性效应最大化而进行的种植努力应关注现存的特定物种及其种植方式。此外,对于特别多样化的草地,在用DI模型量化多样性效应时,可能无需收集年度物种生物量数据。