Julio Escobar

How to know the fungi: combining field inventories and DNA‐barcoding to document fungal diversity

The fungi kingdom is among the most diverse eukaryotic lineages on Earth with estimates of several million extant species (O’Brien et al., 2005; Blackwell, 2011; Taylor et al., 2014). Fungi play critical roles in carbon andnutrient cycling of terrestrial and aquatic ecosystems, and they are important pathogens and mutualists (Read & Perez-Moreno, 2003; Taylor et al., 2012; Grossart et al., 2016). More than 80% of plant species form symbioses with fungi and these symbioses have been crucial to the colonization of terrestrial ecosystems (Field et al., 2015a; Selosse et al., 2015). Despite their impacts on primary ecosystem functions, assessments of fungal biodiversity estimate that only c. 10% of fungal species have been described (Bass & Richards, 2011; Hibbett et al., 2011). Traditionally, specimen-based taxonomic studies have been the only way to discover new species. Because most fungi have microscopic life-stages and convergent morphological features (Rivas-Plata & Lumbsch, 2011; Wynns, 2015), many fungal groups remain severely undersampled. DNA-barcoding and highthroughput sequencing methods have provided a new framework for studying fungal biodiversity (Fierer et al., 2012; Schoch et al., 2012; Myrold et al., 2014), and diversity estimates based on environmental sequences have increased exponentially. Although these ‘sequence-based classification and identification’ methods are a powerful means to rapidly detect hidden diversity, careful interpretation of these data is needed to make accurate inferences (K~oljalg et al., 2013; Lindahl et al., 2013; Nguyen et al., 2015; Hibbett et al., 2016). In particular, many environmental sequences cannot be associated with a known fungal species or lineage. This remains a major challenge to decipher fungal community composition and understand ecological roles of fungi in leaf litter, soil, or inside plants (Yahr et al., 2016). In some cases, these fungi are truly undescribed and their ecological roles are unknown but in other cases they represent described taxa for which no sequence is available (Nagy et al., 2011; Nilsson et al., 2016). DNA barcoding of herbarium specimens and culture collections is extremely valuable to link unidentified sequences to known taxa (e.g. Brock et al., 2009; Nagy et al., 2011; Osmundson et al., 2013; Garnica et al., 2016).DNA sequences have been generated from fungal type specimens > 200 years old (Larsson & Jacobsson, 2004), but in many cases obtaining sequences from historical material is challenging (Dentinger et al., 2010). Today’s threats to biodiversity from habitat loss and climate change are occurring at an unprecedented scale, and it is possible that many species may become extinct before they have been discovered (Costello et al., 2013; Monastersky, 2014). In the need to describe and protect as many species as possible we addressed the following questions: what are the best methods to rapidly document fungal biodiversity? Are traditional, specimen-based approaches still useful?

Spatial abundance models and seasonal distribution for guanaco (Lama guanicoe) in central Tierra del Fuego, Argentina

Spatially explicit modelling allows to estimate population abundance and predict species’ distribution in relation to environmental factors. Abiotic factors are the main determinants of a herbivore´s response to environmental heterogeneity on large spatiotemporal scales. We assessed the influence of elevation, geographic location and distance to the coast on the seasonal abundance and distribution of guanaco (Lama guanicoe) in central Tierra del Fuego, by means of spatially explicit modelling. The estimated abundance was 23,690 individuals for the non-breeding season and 33,928 individuals for the breeding season. The factors influencing distribution and abundance revealed to be the elevation for the non-breeding season, and the distance to the coast and geographic location for the breeding season. The southwest of the study area presented seasonal abundance variation and the southeast and northeast presented high abundance during both seasons. The elevation would be the driving factor of guanaco distribution, as individuals move to lower areas during the non-breeding season and ascend to high areas during the breeding season. Our results confirm that part of the guanaco population performs seasonal migratory movements and that the main valleys present important wintering habitats for guanacos as well as up-hill zones during summer. This type of study would help to avoid problems of scale mismatch and achieve better results in management actions and is an example of how to assess important seasonal habitats from evaluations of abundance and distribution patterns.

Litter production in the Nothofagus forests of Tierra del Fuego, Argentina

Differences in the amount of litter-fall in arboreal species constitute an important factor to understand the nutrient cycle inside a managed forest. The objective was to determine the litter production in Nothofaguspumilio (lenga), N. antarctica (nire) and N. betuloides (guindo) forests in Tierra del Fuego. Litters was collected during the period of highest fall (February-May), sorting its components into leaves, branches, seeds and miscellaneous (flowers, valves, etc.). Leaves represented the most important component, being significantly higher in lenga (79%) than in guindo (65%) or nire (54%). Seeds also presented bigger differences, showing a behaviour inversely proportional to that of leaves: nire (8.7%), guindo (3.0%) and lenga (0.8%). No difference was detected in branches and miscellaneous. The studied forest types showed different strategies of energy distribution, for example, being deciduous or evergreen, or of mass seed production in exceptional years.