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Nowhere to escape – Diversity and community composition of ferns and lycophytes on the highest mountain in Honduras

Published online by Cambridge University Press:  22 June 2021

Johan Reyes-Chávez
Affiliation:
Centro Zamorano de Biodiversidad, Departamento de Ambiente y Desarrollo, Escuela Agrícola Panamericana, Francisco Morazán, Honduras Biology Department, Edge Hill University, Ormskirk, L39 4QP, United Kingdom
Megan Quail
Affiliation:
Biology Department, Edge Hill University, Ormskirk, L39 4QP, United Kingdom
Stephanie Tarvin
Affiliation:
Biology Department, Edge Hill University, Ormskirk, L39 4QP, United Kingdom
Michael Kessler
Affiliation:
Systematic and Evolutionary Botany, University of Zurich, 8008 Zurich, Switzerland
Sven P. Batke*
Affiliation:
Centro Zamorano de Biodiversidad, Departamento de Ambiente y Desarrollo, Escuela Agrícola Panamericana, Francisco Morazán, Honduras Biology Department, Edge Hill University, Ormskirk, L39 4QP, United Kingdom
*
Author for correspondence: Sven P. Batke, Email: sven.batke@edgehill.ac.uk
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Abstract

IPCC predictions for Honduras indicate that temperature will increase by up to 3–6°C and precipitation will decrease by up to 7–13% by the year 2050. To better understand how fern and lycophyte communities might be affected by climate change, we comprehensively surveyed the community compositions of ferns and lycophytes at Celaque National Park, the highest mountain in Honduras. We surveyed a total of 80 20 × 20 m2 plots along an altitudinal gradient of 1249–2844 m a.s.l., identifying all species and estimating their abundances. We recorded a total of 11,098 individuals from 160 species and 61 genera. Community composition was strongly influenced by changes in altitude, precipitation and the abundance of bryophytes (a proxy for air humidity). Of the 160 species, 63 are expected, under a RCP2.6 scenario for the year 2050, to shift their range fully or partially above the maximum altitude of the mountain. Of these, 65.1% are epiphytes. We found that species with narrow altitudinal ranges at high altitudes were more at risk. Our study indicated that conservation efforts should prioritise higher altitudinal sites, focusing particularly on preserving the vulnerable epiphytic fern species, which are likely to be at greater risk.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s) 2021. Published by Cambridge University Press
Figure 0

Figure 1. Digital elevation model (DEM) of Celaque National Park. Points show the sample locations (n = 80).

Figure 1

Figure 2. Plot species richness along an altitudinal gradient in Celaque National Park, Honduras (A). Spline regression was fitted with a series of polynomial segments. The mean (solid lines) and standard error (grey shading) are shown only for visualisation purposes. Multidimensional scaling of the community composition data (all life forms) was used to identify community similarities between altitudinal plots (n = 80) (B). Panel B shows a two-dimensional ordination of axis 1 and 2 with individual plots highlighted by different colours based on their altitude (blue to red = low to high altitude).

Figure 2

Figure 3. Relative model-averaged importance of terms calculated using a random/mixed-effects meta-regression model for NMS axis 1 (A), axis 2 (B) and Simpson epiphyte (C) and terrestrial diversity (D). The importance for a predictor is equal to the sum of the weights for the models in which the variable appears. The vertical red line is drawn at 0.8 and denotes the cut-off to differentiate between important and less important variables. The model results that are shown for each of the first three variable terms are the best-fit models following AIC selection. The plus and minus symbols denote the direction of the relationships.

Figure 3

Table 1. Random/mixed-effects meta-regression model results for the best-fit models, where NMS axis 1 and 2 and Simpson diversity was modelled as a response variable for different explanatory variables. AIC was used to select the best-fit model for each response variable

Figure 4

Figure 4. Mean annual temperature (A) and precipitation (B) for the 80 sample locations at Celaque National Park, Honduras. Current mean annual temperature and precipitation was extracted from Karger et al. (2017). Climate projections of western Honduras for the years 2050 and 2100 were extracted from IPCC (2014). Current = blue dots; RCP2.6 for 2050 = green triangles; RCP2.6 for 2100 = yellow squares; RCP8.5 for 2050 = orange pluses; RCP2.6 for 2050 = grey squares with a diagonal cross.

Figure 5

Table 2. Number of species per life forms for each year and climate change scenario that are likely to loss part or all of their range

Figure 6

Figure 5. Current and projected species altitudinal ranges for RCP2.4 and 8.5 for the year 2050 and 2100 separated between epiphytic (A) and terrestrial species (B). Each horizontal line represents a single species. For visualisation purposes, the species names are not shown on the y-axis for panel A and B. The vertical dashed line shows the maximum altitude of the mountain. Panel C shows the density distribution of the percentage altitudinal range lost for each scenario and year, weighted by the number of species. Current = blue; RCP2.6 for 2050 = green; RCP2.6 for 2100 = yellow; RCP8.5 for 2050 = orange; RCP2.6 for 2050 = grey.

Supplementary material: File

Reyes-Chávez et al. supplementary material

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