DOI: 10.5061/dryad.vmcvdnd35
title: Data from: Richness and composition of foliicolous lichens from the northeastern part of Puebla, Mexico

description: Currently, only 52 species have been reported to the montane rainforests
 of Puebla. To enhance our knowledge and expand the checklist of the state,
 we aimed to determine the foliicolous lichen species richness and
 composition at three sites in Tlatlauquitepec, Puebla: a secondary montane
 rainforest with coffee plantations (site 1), a lowland rainforest fragment
 (site 2), and a secondary montane rainforest (site 3). A total of 94
 species were identified with 52 being new records for the state, such as
 Aptrootidea marginata, Calopadia puiggarii, and Chroodiscus coccineus;
 apart from that, we report 10 new records for the country, among which are
 Porina fulvelloides, Byssoloma tricholomum, and Calenia atlantica. Most
 foliicolous species were rare (60.63%) and restricted to less than 10% of
 the sampled phorophytes, among these we found Porina kameruniensis,
 Calopadia fusca, and Fellhanera subternella; in contrast, the most
 frequent species were Fouragea filicina, Actinoplaca strigulacea,
 Segestria rubentior, Porina karnatakensis, and P. pseudoapplanata. The
 dissimilarity in species composition between sites was notably high
 (&gt; 0.8) and could be explained by species replacement between sites
 2 and 3, and 1 and 3; whereas between sites 1 and 2 can be explained by
 differences in species richness. Site 2 exhibited the highest species
 richness, followed by site 3 and site 1; we attribute this low foliicolous
 richness in site 1, to the presence of sun-growth coffee plantations.
 However, despite the conditions of the sites, these findings significantly
 contribute to the knowledge of foliicolous lichen biota in Puebla and
 Mexico, raising the total richness of the state to 104 and of the country
 to 303 species. We advocate for continued exploration of the
 country's tropical ecosystems to better understand the foliicolous
 lichen diversity that persists in these habitats, which are increasingly
 threatened by various anthropogenic pressures and are in danger of
 extirpation.
description: We aimed to determine the foliicolous lichen species richness and
 composition at three sites in Tlatlauquitepec, Puebla: a secondary montane
 rainforest with coffee plantations (site 1), a lowland rainforest fragment
 (site 2), and a secondary montane rainforest (site 3).
description: # Data from: Richness and composition of foliicolous lichens from the
 northeastern part of Puebla, Mexico
 [https://doi.org/10.5061/dryad.vmcvdnd35](https://doi.org/10.5061/dryad.vmcvdnd35) ## Description of the data and file structure ### Files and variables #### File: Foliicolous\_Lichens\_database.xlsx **Description:** The paper includes a taxonomic list of foliicolous lichens and with the presence/absence data we calculated the total beta diversity (Carvalho et al. 2012, Juárez Ramírez et al. 2015, Rosabal et al. 2016, Castillo-Campos et al. 2019) and, Two-Way-Cluster Analysis to identify the distribution of the species between the sites. The classification method used the Sørensen coefficient of similarity with a flexible Beta of -0.25 as a grouping algorithm (McCune and Grace 2002; Barcenas-Peña 2007; Cáceres et al. 2007; Martínez-Colín 2011). The data is in excel.  The column with the Voucher number corresponds at register number of each specimen in the lichen herbarium, and all material are deposited in the HUAPLI-BUAP. The statistical analyses were conducted using the programs PC-ORD 7.07 (McCune and Mefford 2018) and R Studio 4.4.0 (RStudio Team 2020) using the package BAT (Biodiversity Assessment Tools) (Cardoso et al. 2014). ##### Variables * Presence (1) / Absence (0) by site (Site 1, Site 2, Site 3) of the lichens (Species) #### Code/software To analyze the dissimilarity in species composition across different sample sites, we calculated the total beta diversity (Bcc=b+c/a+b+c)![](file:////Users/emiliaperez/Library/Group%20Containers/UBF8T346G9.Office/TemporaryItems/msohtmlclip/clip_image002.jpg), which was further divided into species replacement (B-3 =![](file:////Users/emiliaperez/Library/Group%20Containers/UBF8T346G9.Office/TemporaryItems/msohtmlclip/clip_image004.jpg) 2x [min(b,c)/a+b+c]) and the difference in species richness between pairs of zones ![](file:////Users/emiliaperez/Library/Group%20Containers/UBF8T346G9.Office/TemporaryItems/msohtmlclip/clip_image006.jpg)(Brich = |b-c|/a+b+c); where *a* is the number of species common to both zones, *b* is the number of species exclusive to the first zone, *c* is the number of species exclusive to the second zone and min (*b*, *c*) is the minimum number of exclusive species. The values obtained range from 0 (when all species occur in both zones) to 1 (when no species is shared between zones) (Carvalho et al. 2012, Juárez Ramírez et al. 2015, Rosabal et al. 2016, Castillo-Campos et al. 2019). As a complement to the previous analysis, we conducted a Two-Way-Cluster Analysis to identify the distribution of the species between the sites. The classification method used the Sørensen coefficient of similarity with a flexible Beta of -0.25 as a grouping algorithm (McCune and Grace 2002; Barcenas-Peña 2007; Cáceres et al. 2007; Martínez-Colín 2011). The statistical analyses were conducted using the programs PC-ORD 7.07 (McCune and Mefford 2018) and package BAT (Biodiversity Assessment Tools) (Cardoso et al. 2014).  RStudio 4.4.0 (RStudio Team 2020).