Published November 15, 2022 | Version v1
Dataset Open

Dataset for: Variations in the reproductive cycle of Bornean montane tree species along elevational gradients on ultrabasic and non-ultrabasic soils

  • 1. Kyushu University
  • 2. Kyoto University
  • 3. University of Hong Kong
  • 4. Hokkaido University

Description

Although lowland tree species in the ever-wet regions of Southeast Asia are characterised by the supra-annual cycle of reproduction, the reproductive phenology of montane tree species remains poorly understood. In this study, we investigated the reproductive phenology of montane tree species using litter samples that were collected every two weeks from six rainforest sites, consisting of three elevations (1700, 2700, and 3100 m), on Mount Kinabalu, Borneo. At each elevation, one site was on infertile ultrabasic soil and one was on relatively fertile non-ultrabasic soil. We used a composite sample from 10 or 20 litter traps per site and sorted it by species. Therefore, the obtained data captured reproductive phenology in the population of each species rather than in an individual tree. Ten-year time series of flower and fruit litterfall were obtained for 30 and 39 tree species, respectively. Fourier analysis was used to identify the dominant cycle of each time series. The most abundant cycle across species was supra-annual, followed by sub-annual, and annual cycles. Many species at higher elevations showed supra-annual cycles of flower litterfall, whereas species in the 1700 m sites often showed annual or sub-annual cycles regardless of soil type. No systematic differences were found among sites for fruit litterfall. Mechanisms underlying these elevational patterns in the reproductive cycle remain unclear but may include more severe El Niño droughts, lower primary productivity, lower soil fertility, and the absence of some sub-annually or annually reproducing families at higher elevations.

Notes

Funding provided by: Japan Society for the Promotion of Science
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001691
Award Number:

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