Center Suisse Of Cartographie Of La Faune

Neuchâtel, Switzerland

Center Suisse Of Cartographie Of La Faune

Neuchâtel, Switzerland

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PubMed | Armenian National Academy of Sciences, Institute of Biodiversity and Ecosystem Research, Royal Botanic Gardens, Ukrainian Academy of Sciences and 67 more.
Type: | Journal: Biodiversity data journal | Year: 2015

Reliable taxonomy underpins communication in all of biology, not least nature conservation and sustainable use of ecosystem resources. The flexibility of taxonomic interpretations, however, presents a serious challenge for end-users of taxonomic concepts. Users need standardised and continuously harmonised taxonomic reference systems, as well as high-quality and complete taxonomic data sets, but these are generally lacking for non-specialists. The solution is in dynamic, expertly curated web-based taxonomic tools. The Pan-European Species-directories Infrastructure (PESI) worked to solve this key issue by providing a taxonomic e-infrastructure for Europe. It strengthened the relevant social (expertise) and information (standards, data and technical) capacities of five major community networks on taxonomic indexing in Europe, which is essential for proper biodiversity assessment and monitoring activities. The key objectives of PESI were: 1) standardisation in taxonomic reference systems, 2) enhancement of the quality and completeness of taxonomic data sets and 3) creation of integrated access to taxonomic information.This paper describes the results of PESI and its future prospects, including the involvement in major European biodiversity informatics initiatives and programs.


Knowledge about the distribution of the Harvest mouse {Micromys minutus) in western Switzerland has been completed by search for typical nests in the field. The authors visited formerly known sites and conducted a prospective search in new favourable habitat (sedge communities). Several new populations have been discovered in the canton of Jura and Vaud. Other sites have to be considered as abandoned, such as the region between the lakes of Bienne and Neuchâtel. Management measures in favour of the species are proposed.


Fivaz F.P.,Center Suisse Of Cartographie Of La Faune | Gonseth Y.,Center Suisse Of Cartographie Of La Faune
Journal of Insect Conservation | Year: 2014

Red Lists have been used for years globally and regionally in many countries to highlight species that need special attention because of the rarity or rapid decline of their populations. To ensure homogenized classification at the global and regional level, the International Union for Conservation of Nature (IUCN) defined categories of threat, and criteria to attribute the taxa to these categories. Nevertheless, the strict application of the criteria is not always straightforward, especially for invertebrates, because of the difficulties associated with precise estimates of the size and viability of their populations. This paper presents a method for the estimation of extent of occurrence (EOO) and area of occupancy (AOO) based on species distribution models using multivariate adaptive regression splines. To achieve this, presence data have been modeled against topographical and climatic explanatory variables. Predictions from the statistical distribution models have then been cut using the minimal convex hull around (EOO) or the watersheds in which (AOO) the species have really been observed in recent years. This allows us to delimit the EOO and AOO according to the IUCN criteria, and better take into account the ecological requirements of the species. Furthermore, the method allows for the use of historical data (e.g. from museum's collections) and the direct comparison of historical and recent distributions of species. The method has been tested on six species of butterflies. The results show the possibility of using species distribution models to define the Red Lists status according to the IUCN guidelines, and shows that the results are consistent with previous Red Lists assessments. © 2014 Springer International Publishing Switzerland.

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