Data from: Complex biotic interactions drive long-term vegetation dynamics in a subarctic ecosystem

• Main Authors: Olofsson, Johan, Te Beest, Mariska, Ericson, Lars, Te Beest, M.
• Format: Dataset
• Language: unknown
• Published: Dryad 2013
• Subjects: Arwidssonia empetri; Vaccinium myrtillus; Empetrum hermaphroditum; plant community composition; Global warming; Lemmus lemmes; Epipolaeum sulcicola; Betula nana; Deschampsia flexuosa; Rangifer tarandus; Vaccinium uliginosum; Epirrita autumnata; Herbivory; Vaccinium vitis-idaea; Myodes rufucanus; Population cycles; Abisko; northernmost Sweden; 68⁰19’ N; 18. ⁰53’E; Life sciences; medicine and health care; envir; socio; Arctic; Subarctic
• Online Access: https://doi.org/10.5061/dryad.38s21

Predicting impacts of global warming requires understanding of the extent to which plant biomass and production are controlled by bottom-up and top-down drivers. By annually monitoring community composition in grazed control plots and herbivore-free exclosures at an Arctic location for 15 years, we detected multiple biotic interactions. Regular rodent cycles acted as pulses driving synchronous fluctuations in the biomass of field-layer vegetation; reindeer influenced the biomass of taller shrubs, and the abundance of plant pathogenic fungi increased when densities of their host plants increased in exclosures. Two outbreaks of geometrid moths occurred during the study period, with contrasting effects on the field layer: one in 2004 had marginal effects, while one in 2012 severely reduced biomass in the control plots and eliminated biomass that had accumulated over 15 years in the exclosures. The latter was followed by a dramatic decline of the dominant understory dwarf-shrub Empetrum hermaphroditum, driven by an interaction between moth herbivory on top buds and leaves, and increased disease severity of a pathogenic fungus. We show that the climate has important direct and indirect effects on all these biotic interactions. We conclude that long time series are essential to identify key biotic interactions in ecosystems, since their importance will be influenced by climatic conditions, and that manipulative treatments are needed in order to obtain the mechanistic understanding needed for robust predictions of future ecosystem changes and their feedback effects. Time Series of plant biomass during 1998-2013This data were collected in the file TimeSeries were collected between 1998 and 2012 and the data in the file Empetrum were collected in 2012 in the Abisko Region in northernmost Sweden (68⁰19’ N, 18. ⁰53’E). Data comes from full-factorial warming-fertilization-herbivore exclusion experiment, where transplants of three forbs were grown for two growing seasons. For detailed methods see Olofsson et al. 2013, ...