Although classification at supra-specific ranks is inherently arbitrary, comparable taxonomic ranks within clades can facilitate more consistent classifications and objective comparisons among taxa. Different circumscriptions of the hyper-diverse lichen-forming fungal family Parmeliaceae and widely different generic circumscriptions among authors have been proposed. For this study, we use a recently developed temporal approach that uses time-calibrated chronograms to identify temporal bands for specific ranks in Parmeliaceae and allied groups with the overarching goal of establishing a consistent, stable classification. A data set of 330 species, representing 73 genera in the family and 52 species of related families was used to address the circumscription of Parmeliaceae and its genera following the proposed temporal approach. Based on the results of this study, we propose a revised, temporal-based classification for Parmeliaceae, including all clades that share a common ancestor 102.13–112.88 Ma for families and a time window of 29.45–32.55 Ma for genera. Forty-five of the currently accepted genera in Parmeliaceae were supported in their current circumscription. Two subfamilies are accepted within Parmeliaceae: Protoparmelioideae Divakar et al. subfam. nov., including Protoparmelia and the resurrected genus Maronina, and Parmelioideae, including the bulk of genera in the family. The new genus Austromelanelixia Divakar et al. is proposed to accommodate a clade of southern Hemisphere species previously included in Melanelixia. Eumitria and tentatively Dolichousnea are resurrected as genera separate from Usnea. The following genera are reduced to synonymy: Allocetraria, Cetrariella, Usnocetraria, and Vulpicida with Cetraria; Arctocetraria, Cetreliopsis, Flavocetraria, Kaernefeltia, Masonhalea, Tuckermanella, and Tuckermannopsis with Nephromopsis; and the lichenicolous genera Nesolechia and Raesaenenia with the lichen-forming genera Punctelia and Protousnea, respectively. A total of 47 new combinations and three new names at the species level are proposed.

The phylogenetic relationship of lecanoroid lichens is studied using two data sets: 1) a 2-locus data set including 251 OTUs representing 150 species, and 2) a 6-locus data set with 82 OTUs representing 53 species. The genus Lecanora as currently circumscribed is shown to be highly polyphyletic and several genera, including Adelolecia, Arctopeltis, Bryonora, Carbonea, Frutidella, Lecidella, Miriquidica, Palicella, Protoparmeliopsis, Pyrrhospora, and Rhizoplaca are nested within Lecanora sensu lato. A core group of Lecanora is supported as monophyletic and includes species of the L. carpinea, L. rupicola, and L. subcarnea groups, and a core group of the L. subfusca group. Three monophyletic clades that are well supported in our analyses and well characterized by phenotypical characters are accepted here: 1) Myriolecis to accommodate the Lecanora dispersa group and Arctopeltis; 2) Protoparmeliopsis for the L. muralis group; and 3) Rhizoplaca is emended to include three placodioid taxa previously classified in Lecanora (L. novomexicana. L. opiniconensis, L. phaedrophthalma), whereas R. aspidophora and R. peltata are excluded from Rhizoplaca. The latter is transferred into Protoparmeliopsis. Lecidella is strongly supported as a monophyletic group. Our studies indicate the presence of additional clades of species currently placed in Lecanora sensu lato that warrant taxonomic recognition but additional data will be necessary before the circumscription of these entities is fully understood. 37 new combinations are proposed into the genera Myriolecis (30), Protoparmeliopsis (2), and Rhizoplaca (5).

Summary: Bryophytes, including the lineages of mosses, liverworts, and hornworts, are the second‐largest photoautotroph group on Earth. Recent work across terrestrial ecosystems has highlighted how bryophytes retain and control water, fix substantial amounts of carbon (C), and contribute to nitrogen (N) cycles in forests (boreal, temperate, and tropical), tundra, peatlands, grasslands, and deserts. Understanding how changing climate affects bryophyte contributions to global cycles in different ecosystems is of primary importance. However, because of their small physical size, bryophytes have been largely ignored in research on water, C, and N cycles at global scales. Here, we review the literature on how bryophytes influence global biogeochemical cycles, and we highlight that while some aspects of global change represent critical tipping points for survival, bryophytes may also buffer many ecosystems from change due to their capacity for water, C, and N uptake and storage. However, as the thresholds of resistance of bryophytes to temperature and precipitation regime changes are mostly unknown, it is challenging to predict how long this buffering capacity will remain functional. Furthermore, as ecosystems shift their global distribution in response to changing climate, the size of different bryophyte‐influenced biomes will change, resulting in shifts in the magnitude of bryophyte impacts on global ecosystem functions.

Comparable taxonomic ranks within clades can facilitate more consistent classifications and objective comparisons among taxa. Here we use a temporal approach to identify taxonomic ranks. This is an extension of the temporal banding approach including a Temporal Error Score that finds an objective cut-off for each taxonomic rank using information for the current classification. We illustrate this method using a data set of the lichenized fungal family Parmeliaceae. To assess its performance, we simulated the effect of taxon sampling and compared our method with the other temporal banding method. For our sampled phylogeny, 11 of the 12 included families remained intact and 55 genera were confirmed, whereas 32 genera were lumped and 15 genera were split. Taxon sampling impacted the method at the genus level, whereas yielded only insignificant changes at the family level. The other available temporal approach also gives a similar cutoff point to our method. Our approach to identify taxonomic ranks enables taxonomists to revise and propose classifications on an objective basis, changing ranks of clades only when inconsistent with most taxa in a phylogenetic tree. An R script to find the time point with the minimal temporal error is provided.

Microsatellites are polymorphic and cost-effective. Optimizing reduced microsatellite panels using heuristic algorithms eases budget constraints in genetic diversity and population genetic assessments. Microsatellite marker efficiency is strongly associated with its polymorphism and is quantified as the polymorphic information content (PIC). Nevertheless, marker selection cannot rely solely on PIC. In this study, the ant colony optimization (ACO) algorithm, a widely recognized optimization method, was adopted to create an enhanced selection scheme for refining microsatellite marker panels, called the PIC–ACO selection scheme. The algorithm was fine-tuned and validated using extensive datasets of chicken (Gallus gallus) and Chinese gorals (Naemorhedus griseus) from our previous studies. In contrast to basic optimization algorithms that stochastically initialize potential outputs, our selection algorithm utilizes the PIC values of markers to prime the ACO process. This increases the global solution discovery speed while reducing the likelihood of becoming trapped in local solutions. This process facilitated the acquisition of a cost-efficient and optimized microsatellite marker panel for studying genetic diversity and population genetic datasets. The established microsatellite efficiency metrics such as PIC, allele richness, and heterozygosity were correlated with the actual effectiveness of the microsatellite marker panel. This approach could substantially reduce budgetary barriers to population genetic assessments, breeding, and conservation programs.