Search

We provide an updated catalogue of the type material of the lepidopteran superfamily Papilionoidea deposited in the Zoological Mu-seum of Hamburg (ZMH). We report 414 specimens labelled as "types" belonging to nine species (all of valid names), 74 subspecies (44 valid names and 30 synonyms), 59 invalid infrasubspecific names under the ICZN code, and 23 specimens of 16 "in litteris" (= unavailable) names. Out of the 414 specimens labelled as "types", 171 specimens are primary types (8 holotypes/lectotypes and 163 syntypes) and 80 are secondary types; 120 specimens are infrasubspecific and hence invalid and are considered as "original specimens"; and 43 specimens are treated here as "Non-type" specimens (topotype). We present a full bibliography of the original descriptions and illustrations for all of these taxa, aiming to provide a comprehensive taxonomic guide to this collection. [ABSTRACT FROM AUTHOR]

The coastal forests of Kenya are global biodiversity hotspots known for rich plant diversity and endemism. They exist as fragmented forest islands, and their current conservation status and quantitative trends in plant diversity are understudied. We investigated these knowledge gaps by providing a comprehensive literature review and comparing to field data collected using standardized sampling protocol. Our goals were to build a robust basis for future analyses, biodiversity monitoring, and to understand the role of fragment area in determining species richness. We recorded a total of 937 woody species belonging to 88 families in 30 forest patches from reviewed and sampled data. Species richness per site from literature review was affected by biases in data scarcity, forest size and variation in sampling methods. In general, large forests reserves of Shimba hills and Arabuko exhibited a high number of cumulative species compared to smaller forest patches. Species-area relationship showed a significant proportion of species richness per forest was determined by forest area, according to Arrhenius model. This study is the first to review forest patch woody plant species diversity knowledge gaps in the coastal forests of Kenya, and the resulting comparison provides the first quantitative overview and foundation of these forests. [ABSTRACT FROM AUTHOR]

Aim Species distribution models built with geographically restricted data often fail to capture the full range of conditions experienced by species across their entire distribution area. Using such models to predict distribution shifts under future environmental change may, therefore, produce biased projections. However, restricted-scale models have the potential to include a larger sample of taxa for which distribution data are available and to provide finer-resolution projections that are better applied to conservation planning than the forecasts of broad-scale models. We examine the circumstances under which the projected shifts in species richness patterns derived from restricted-scale and broad-scale models are most likely to be similar. Location Europe. Methods The distribution of butterflies in Finland, Belgium/Netherlands and Spain was modelled based on restricted-scale (local) and broad-scale (continental) distribution and climate data. Both types of models were projected under future climate change scenarios to assess potential changes in species richness. Results In Finland, species richness was projected to increase strongly based on restricted-scale models and to decrease slightly with broad-scale models. In Belgium/Netherlands, restricted-scale models projected a larger decrease in richness than broad-scale models. In Spain, both models projected a slight decrease in richness. We obtained similar projections based on restricted-scale and broad-scale models only in Spain because the climatic conditions available here covered the warm part of the distributions of butterflies better than in Finland and Belgium/Netherlands. Main conclusions Restricted-scale models that fail to capture the warm part of species distributions produce biased estimates of future changes in species richness when projected under climatic conditions with no modern analogue in the study area. We recommend the use of distribution data beyond the boundaries of the study area to capture the part of the species response curves reflecting the climatic conditions that will prevail within that area in the future. [ABSTRACT FROM AUTHOR]

Aim Biological invasions are today the second-largest global threat for biodiversity. Once introduced, exotic plant species can modify ecosystem composition, structure and dynamics, eventually driving native species to local extinction. Among the groups of organisms, most likely to be directly affected by exotic invasive plants are herbivorous insects, such as butterflies, which strongly depend on plants throughout their life cycle. However, it remains unclear whether invasive plants have a negative or a positive effect on butterfly diversity at a landscape scale. Location Switzerland. Methods Using an extensive inventory (393 sites across Switzerland) of both butterfly and invasive plants, we explore the impact of 31 invasive black listed plant species on local butterfly richness. We further identify each butterfly species' response to invasive plants (i.e. positive, neutral or negative) and analyse the functional and phylogenetic characteristics of these different groups of species. Results Our results indicate that butterfly richness negatively correlates with an increase in invasive plant richness. When studying the individual response of each butterfly species to the number of invasive plants, we found that no single butterfly is profiting from invasive plant species, while 28 butterfly species (24%) suffer from the presence of invasive plants. We further show that the species negatively affected are on average less mobile than the unaffected species and that they are phylogenetically clustered. Main conclusions Our results present evidences of the influence of invasive species on other trophic levels and interaction networks. We further highlight that a lack of management efforts for mitigating invasive plant impacts threatens specific sections of the functional and phylogenetic diversity of butterflies. [ABSTRACT FROM AUTHOR]

Highlights • Butterfly transect counts were transferred to regions outside of Europe. • Species richness was found underestimated with transect counts. • Differences in habitat requirements among species lead to the underestimation. • High species richness & high rare species mainly lower efficiency of transect counts. Abstract Transect counts are one of the most popular approaches to assess and monitor butterfly diversity, especially with the background of biodiversity loss. This method was developed in Europe, but its transferability is seldom tested across the world. To assess transferability, we compared butterfly richness estimates based on transect counts in Spain, Germany and central China, a region with a considerably different biogeographic history and more diverse butterfly fauna compared to Europe. We found that the efficiency of transect counts was much lower in China than in the other two regions. Apart from the fact that traditional transect counts may undersample canopy species which are predominant in central China, higher efficiency in Europe may be primarily attributed to different patterns of butterfly richness likely caused by different biogeographic and anthropogenic land-use history. Our results highlight that great caution is needed when transect count methods are transferred to other regions of the world, especially to particularly species rich areas with a high number of rare species. Low detectability of certain species can substantially mask species richness estimates, and we suggest to carefully adapt sampling effort and perhaps combine transect counts with other methods to ensure more realistic assessment of species richness in such regions. [ABSTRACT FROM AUTHOR]

Abstract: The IUCN is the leading authority on assessing species’ extinction risks worldwide and introduced the use of quantitative criteria for the compilation of Red Lists of threatened species. Recently, we assessed the threat status of the 483 European butterfly species, using semi-quantitative data on changes in distribution and in population sizes provided by national butterfly experts. We corrected distribution trends for the observation that coarse-scale grid cells underestimate actual population trends by 35%. To account for uncertainty, we included a 5% error margin on the distribution and population trends provided. The new Red List of European butterflies determined one species as Regionally Extinct, 37 species as threatened (Critically Endangered, Endangered or Vulnerable) and a further 44 as Near Threatened. The use of semi-quantitative data on distribution and population trends permitted us to use IUCN criteria to compile a scientifically underpinned Red List of butterflies in Europe. However, a comparison of detailed monitoring data for some grassland species showed that coarse-scale grid cell data and population trends strongly underestimate extinction risks, and the list should be taken as a conservative estimate of threat. Finally, combining the new Red List status with the data provided by the national butterfly experts, allowed us to determine simple criteria to delineate conservation priorities for butterflies in Europe, so called SPecies of European conservation Concern (SPEC’s). Using European butterflies, our approach illustrated how Red Listing can be performed when data are incomplete for some IUCN criteria or vary strongly among countries. [ABSTRACT FROM AUTHOR]