Horticulturae (Nov 2021)

Inferring the Potential Geographic Distribution and Reasons for the Endangered Status of the Tree Fern, <i>Sphaeropteris lepifera</i>, in Lingnan, China Using a Small Sample Size

  • Xueying Wei,
  • AJ Harris,
  • Yuwen Cui,
  • Yangwu Dai,
  • Hanjia Hu,
  • Xiaoling Yu,
  • Rihong Jiang,
  • Faguo Wang

DOI
https://doi.org/10.3390/horticulturae7110496
Journal volume & issue
Vol. 7, no. 11
p. 496

Abstract

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In this study, we investigated suitable habitats for the endangered tree fern, Sphaeropteris lepifera (J. Sm. ex Hook.) R.M. Tryon, based on fieldwork, ecological niche modeling, and regression approaches. We combined these data with the characterization of spore germination and gametophytic development in the laboratory to assess the reasons why S. lepifera is endangered and to propose a conservation strategy that focuses on suitable sites for reintroduction and accounts for the ecology and biphasic life cycle of the species. Our methods represent an integration of process- and correlation-based approaches to understanding the distributional patterns of this species, and this combined approach, while uncommonly applied, is a more robust strategy than either approach used in isolation. Our ecological niche models indicated that cold temperature extremes, temperature stability over long- and short-terms, and the seasonality of precipitation were among the most important abiotic environmental factors affecting the distribution of S. lepifera among the variables that we measured. Moreover, distribution of this fern species is also strongly influenced by the timing of development of male and female gametes. Additionally, we observed that slope aspect, specifically south-facing slopes, facilitates more incoming sunlight for mature trees, and simultaneously, provides greater, much-needed shade for fiddleheads on account of the canopy being denser. We believe that our study can provide important guidance on the restoration of S. lepifera in the wild. Specifically, potential restoration areas can be screened for the specific environmental factors that we infer to have a critical impact on the survival of the species.

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