Unique and fragile diversity emerges from Brazilian caves – two new amphibious species of Xangoniscus Campos-Filho, Araujo & Taiti, 2014 (Oniscidea, Styloniscidae) from Serra do Ramalho karst area, state of Bahia, Brazil

Two new troglobitic species of Xangoniscus are described from two caves of Serra do Ramalho karst area, Bambuí geomorphological group, state of Bahia. Xangoniscus lapaensissp. nov. is described from Gruna Boca da Lapa cave, and X. loboisp. nov. from Gruna da Pingueira II cave. Both species are blind and depigmented and show amphibious habits, as observed for all species of Xangoniscus described until now. Xangoniscus lapaensissp. nov. occurs in travertine pools fed by water of the upper aquifer, and X. loboisp. nov. occurs in a small stream, an upper vadose tributary. Both species occur in fragile microhabitats. Ecological and behavioral data, conservation remarks, and IUCN conservation assessments are included to provide background data for conservation efforts in this unique karst area.

Thysananthus ciliaris (Lejeuneaceae, Marchantiophyta), a rare species new to Singapore from the Singapore Botanic Gardens

Thysananthus ciliaris, a rare and poorly known species from Southeast Asia, is newly discovered in Singapore in the Singapore Botanic Gardens. Its oil bodies are here reported for the first time for the species. The geographical distribution of all published occurrences of the species is briefly discussed. Provisional conservation assessments are given at the global and Singapore national levels based on current knowledge. A lectotype is designated in a second step lectotypification.

The Ant-like Tachydromia Complex in the Iberian Peninsula—Insights from Habitat Suitability Modelling for the Conservation of an Endemism (Diptera: Hybotidae)

Ant-like flies comprise nine Iberian endemic species of flightless Tachydromia. Severe knowledge gaps on distribution and ecological requirements hinder conservation assessments. Species distribution models were applied to unveil habitat suitability and to provide guidelines for future studies. An ensemble modeling approach combining ten different techniques was implemented with the biomod2 package. Occurrence data was partitioned into six sets, including two multi-species groups and four species. The most relevant drivers of habitat suitability are climate-related, followed by forest type and structure, according to well-defined biogeographic gradients. T. lusitanica and T. ebejeri are adapted to mild temperatures and high-humidity environments. Their distribution is connected to the Temperate–Eurosiberian life zone. T. semiaptera and T. iberica are adapted to progressively drier and hotter central and southern parts of the Iberian Peninsula, connected to transitional Temperate–submediterranean areas. Ant-like fly’ ranges overlap with deciduous/marcescent oak species, acting as suitable indicators of their presence in Iberia. Southern marcescent forests emerge as “islands” with particular interest for future prospections. Ant-like flies are threatened by several factors such as climate change and habitat destruction, including urbanization and forest fires. This study provides vital tools to better assess the ant-like flies’ conservation status and to manage their habitat.

The genus Tristachya (Poaceae: Panicoideae) in Madagascar

SummaryWe present a revision of the three species of Tristachya in Madagascar. The tussock-forming T. betsileensis is a rare endemic of the quartz outcrops in the Itremo Protected Area. The rhizomatous T. isalensis and T. humbertii are common components of the sandstone outcrop vegetation in the Isalo National Park. A new combination is made. Descriptions, conservation assessments, illustrations, and a distribution map are presented.

Batch-produced, GIS-informed range maps for birds based on provenanced, crowd-sourced data inform conservation assessments

Accurate maps of species ranges are essential to inform conservation, but time-consuming to produce and update. Given the pace of change of knowledge about species distributions and shifts in ranges under climate change and land use, a need exists for timely mapping approaches that enable batch processing employing widely available data. We develop a systematic approach of batch-processing range maps and derived Area of Habitat maps for terrestrial bird species with published ranges below 125,000 km2 in Central and South America. (Area of Habitat is the habitat available to a species within its range.) We combine existing range maps with the rapidly expanding crowd-sourced eBird data of presences and absences from frequently surveyed locations, plus readily accessible, high resolution satellite data on forest cover and elevation to map the Area of Habitat available to each species. Users can interrogate the maps produced to see details of the observations that contributed to the ranges. Previous estimates of Areas of Habitat were constrained within the published ranges and thus were, by definition, smaller—typically about 30%. This reflects how little habitat within suitable elevation ranges exists within the published ranges. Our results show that on average, Areas of Habitat are 12% larger than published ranges, reflecting the often-considerable extent that eBird records expand the known distributions of species. Interestingly, there are substantial differences between threatened and non-threatened species. Some 40% of Critically Endangered, 43% of Endangered, and 55% of Vulnerable species have Areas of Habitat larger than their published ranges, compared with 31% for Near Threatened and Least Concern species. The important finding for conservation is that threatened species are generally more widespread than previously estimated.

Strengthening the Scientific Basis of Ecosystem Collapse Risk Assessments

Progress is being made in assessing the conservation status of ecosystems, notably through initiatives such as the IUCN Red List of Ecosystems (RLE) and the NatureServe Conservation Status Assessment (NCS). Both of these approaches consider conservation status in terms of the risk of ecosystem collapse. However, the scientific understanding of ecosystem collapse is still at a relatively early stage. Consequently, concerns have been raised regarding the scientific basis of ecosystem conservation assessments focusing on collapse risk. Here I explore how these concerns might potentially be addressed by considering how the concept is defined, and by briefly reviewing the theoretical basis of ecosystem collapse. I then examine the implications of recent research results for the design of ecosystem collapse risk assessments, and the challenges identified in those assessments conducted to date. Recommendations are made regarding how collapse risk assessments might be strengthened based on current scientific understanding, and how this understanding could be improved by further research. In addition, I examine the potential implications for conservation policy and practice if the scientific basis of collapse risk assessments is not strengthened in this way.

A revision of the genus Ruagea (Meliaceae: Melioideae)

SummaryThe neotropical genus Ruagea H.Karst. is revised. Fifteen species are recognised, including three R. obovata T.D.Penn., R. beckii T.D.Penn. and R. parvifructa T.D.Penn. which are described as new to science. A key to the species is presented, along with information on the morphology, distribution, ecology, conservation assessments, local names, uses and field characters. All species are mapped and illustrated with line drawings and all specimens seen are cited in a list of exsiccatae.

Two new species of Lagenandra (Araceae) from the Wet Zone of Sri Lanka

Taxonomic revisions are the most reliable pathway in unfolding new species to the world. During such a revision of the genus Lagenandra in Sri Lankan, we came across two new species: Lagenandra kalugalensis and Lagenandra srilankensis from the Wet Zone of Sri Lanka. The two new species were studied in detail and compared with the morphology of the other species described in the genus, and based on field collected data conservation assessments were performed. A detailed description for the two new species and an updated taxonomic key to the Sri Lankan Lagenandra is presented here for easy identification. Recognizing two new endemic members enhances the number of Sri Lankan species of Lagenandra to eleven and global to nineteen. According to the IUCN red data category guidelines, L. kalugalensis qualifies for Critically Endangered category under Criterion B1ab (ii,iii,v) + B2ab (ii,iii,v) while L. srilankensis qualifies for Critically Endangered category under B1ab (iii, iv) + C2 (a) (i, ii). Hence, immediate conservation measures are imperative.

Estimating the Abundance of Marine Mammal Populations

Motivated by the need to estimate the abundance of marine mammal populations to inform conservation assessments, especially relating to fishery bycatch, this paper provides background on abundance estimation and reviews the various methods available for pinnipeds, cetaceans and sirenians. We first give an “entry-level” introduction to abundance estimation, including fundamental concepts and the importance of recognizing sources of bias and obtaining a measure of precision. Each of the primary methods available to estimate abundance of marine mammals is then described, including data collection and analysis, common challenges in implementation, and the assumptions made, violation of which can lead to bias. The main method for estimating pinniped abundance is extrapolation of counts of animals (pups or all-ages) on land or ice to the whole population. Cetacean and sirenian abundance is primarily estimated from transect surveys conducted from ships, small boats or aircraft. If individuals of a species can be recognized from natural markings, mark-recapture analysis of photo-identification data can be used to estimate the number of animals using the study area. Throughout, we cite example studies that illustrate the methods described. To estimate the abundance of a marine mammal population, key issues include: defining the population to be estimated, considering candidate methods based on strengths and weaknesses in relation to a range of logistical and practical issues, being aware of the resources required to collect and analyze the data, and understanding the assumptions made. We conclude with a discussion of some practical issues, given the various challenges that arise during implementation.