4.5 Article

Model-based Evidence for Cyclic Phenomena in a High-Elevation, Two-Species Forest

期刊

ECOSYSTEMS
卷 19, 期 3, 页码 437-449

出版社

SPRINGER
DOI: 10.1007/s10021-015-9945-y

关键词

altitudinal zonation; forest dynamics; Rocky Mountains; forest demography; individual-based gap models; vegetation modeling; cyclic phenomena; spruce; fir

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资金

  1. VA Space Grant Consortium Graduate Fellowship [VSGC FY 14-15]
  2. National Fish and Wildlife Foundation [0106.12. 032847]
  3. UVA Programs of Distinction

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Cyclic phenomena have been the focus of many studies in stressed conifer forests. In these systems, suppressed seedlings are released following the synchronous death of canopy trees. These cycles occur over hundreds of years, and thus studying them in the field is difficult, if not impossible in some cases. This difficulty highlights the advantages of vegetation modeling studies. We used the individual-based gap model, University of Virginia Forest Model Enhanced (UVAFME), to simulate forest dynamics over time at a high-elevation, subalpine forest (dominated by Engelmann spruce and subalpine fir) in southern Wyoming. Following model calibration, UVAFME was validated by running it up an elevation gradient to determine if it could simulate changes in species composition with elevation. UVAFME was then run exclusively at the high-elevation location for periods of 3000 years to simulate long-term forest dynamics at the site. It was found that without the intrusion of exogenous disturbances, the subalpine zone of the Rocky Mountains demonstrates cyclic phenomena, both at the plot scale and the landscape scale. By itself, Engelmann spruce demonstrates a natural periodicity of 300 years, whereas subalpine fir has a natural periodicity of 200 years. In the two-species forest, both species have a periodicity of 300 years. This output corresponds well with field data from similar high-elevation conifer sites. These results, along with other examples of cyclic phenomena in ecological systems, indicate that periodicities in ecosystems may be more common than previously thought, though they may be difficult to distinguish due to disturbances and the time- and space-scales at which they occur.

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