60 research outputs found

    High Nature Value Farmland in Europe - An Estimate of the Distribution Patterns on the Basis of Land Cover and Biodiversity Data

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    Europe's agricultural landscapes provide highly varied living conditions for many plants and animals. Baldock et al. (1993) and Beaufoy et al. (1994) described the general characteristics of low-input farming systems in terms of biodiversity and management practices and introduced the term high nature value farmland. Typical high nature value farmland areas are the extensively grazed uplands in the UK, alpine meadows and pasture, steppic areas in eastern and southern Europe and dehesas and montados in Spain and Portugal. The more intensively farmed areas in lowland western Europe can also host concentrations of species of particular conservation interest, such as migratory waterfowl. The need for measures to prevent the loss of high nature value farmland is widely acknowledged. Conservation of biodiversity on agricultural land is an explicit objective of the pan-European Biodiversity and Landscape Strategy, the Bern Convention, the European Landscape Convention, and, at EU level, the Habitats and Birds Directives and the Rural Development Policy (Community Strategic Guidelines for Rural Development Programming Period 2007-2013). In their 6th Environment Action Programme, the EU committed itself to halting biodiversity decline by 2010. Conserving High Nature Value farmland is key to achieving this 2010 biodiversity target. Pan-European data on distribution and conservation status of HNV farmland, however, were largely lacking. In their 2003 "Kyiv" declaration, the European Environment Ministers have therefore set the goal to fill this data gap and take adequate conservation measures. In support of this policy process, EEA and UNEP published a Joint Message (EEA 2004), presenting a preliminary map of HNV farmland and analysing the targeting of agricultural policy instruments. The Joint Message used the concept as developed by Andersen et al. (2003) that describes HNV farmland as: "Those areas in Europe where agriculture is a major (usually the dominant) land use and where that agriculture supports, or is associated with, either a high species and habitat diversity or the presence of species of European conservation concern, or both". The aim of estimating HNV farmland distribution at European level according to a standardised method is primarily to gain insight in the current status, as well as enabling analysis of European trends and targeting of relevant policy instruments, such as Less Favoured Area (LFA) support. In order to increase accuracy, JRC and the EEA have been preparing the first EU27 map of High Nature Value farmland, on the basis of new land cover data, refined and regionally differentiated selection criteria, and additional biodiversity datasets.JRC.H.5-Rural, water and ecosystem resource

    There is a trade‑off between forest productivity and animal biodiversity in Europe

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    While forest productivity and biodiversity are expected to be correlated, prioritizing either forest productivity or biodiversity can result in different management. Spatial quantification of the congruence between areas suitable for either one can inform planning. Here we quantify the relationship between net primary productivity of European forests and biodiversity of mammals, birds, reptiles, amphibians, and butterflies both separately and in combination, and map their spatial congruence. We used richness maps obtained by stacking species distribution models for these animal species, and average net primary production from 2000 to 2012 using moderate resolution imaging spectroradiometer (MODIS) data. We tested how biodiversity and primary productivity are correlated and quantified the spatial congruence of these two sources. We show the areas where high or low productivity co-occur with high or low biodiversity using a quantile-based overlay analysis. Productivity was positively correlated to overall biodiversity and mammal, herptile and butterfly biodiversity, but biodiversity of birds showed a weak negative correlation. There were no significant differences in the strength of relationship across species groups, while herptiles had stronger relationships with productivity compared to other groups. Overlap analysis revealed significant spatial overlap between productivity and biodiversity in all species groups, except for birds. High value areas for both productivity and biodiversity in all species groups, except birds, co-occurred in the Mediterranean and temperate regions. The areas with high biodiversity of birds are mainly found in the boreal areas of Europe, while for all other species groups these areas are mostly located on the Iberian Peninsula and the Balkan ranges. Based on the presented maps, areas where regulating wood production activities to conserve species can be identified. But the maps also help to identify areas where either biodiversity or productivity is high and focusing on just one aspect is more straightforward

    An updated checklist of the European Butterflies (Lepidoptera, Papilionoidea)

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    This paper presents an updated checklist of the butterflies of Europe, together with their original name combinations, and their occurrence status in each European country. According to this checklist, 496 species of the superfamily Papilionoidea occur in Europe. Changes in comparison with the last version (2.6.2) of Fauna Europaea are discussed. Compared to that version, 16 species are new additions, either due to cryptic species most of which have been discovered by molecular methods (13 cases) or due to discoveries of Asian species on the eastern border of the European territory in the Ural mountains (three cases). On the other hand, nine species had to be removed from the list, because they either do not occur in Europe or lost their species status due to new evidence. In addition, three species names had to be changed and 30 species changed their combination due to new evidence on phylogenetic relationships. Furthermore, minor corrections were applied to some authors¿ names and years of publication. Finally, the name Polyommatus ottomanus Lefèbvre, 1831, which is threatened by its senior synonym Lycaena legeri Freyer, 1830, is declared a nomen protectum, thereby conserving its name in the current combination Lycaena ottomana.VL was supported by grant N 14-14-00541 from the Russian Science Foundation to the Zoological Institute of the Russian Academy of Sciences and ZF by grant 14- 36098G from the Czech Science Foundation

    A regionally informed abundance index for supporting integrative analyses across butterfly monitoring schemes

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    1. The rapid expansion of systematic monitoring schemes necessitates robust methods to reliably assess species' status and trends. Insect monitoring poses a challenge where there are strong seasonal patterns, requiring repeated counts to reliably assess abundance. Butterfly monitoring schemes (BMSs) operate in an increasing number of countries with broadly the same methodology, yet they differ in their observation frequency and in the methods used to compute annual abundance indices. 2. Using simulated and observed data, we performed an extensive comparison of two approaches used to derive abundance indices from count data collected via BMS, under a range of sampling frequencies. Linear interpolation is most commonly used to estimate abundance indices from seasonal count series. A second method, hereafter the regional generalized additive model (GAM), fits a GAM to repeated counts within sites across a climatic region. For the two methods, we estimated bias in abundance indices and the statistical power for detecting trends, given different proportions of missing counts. We also compared the accuracy of trend estimates using systematically degraded observed counts of the Gatekeeper Pyronia tithonus (Linnaeus 1767). 3. The regional GAM method generally outperforms the linear interpolation method. When the proportion of missing counts increased beyond 50%, indices derived via the linear interpolation method showed substantially higher estimation error as well as clear biases, in comparison to the regional GAM method. The regional GAM method also showed higher power to detect trends when the proportion of missing counts was substantial. 4. Synthesis and applications. Monitoring offers invaluable data to support conservation policy and management, but requires robust analysis approaches and guidance for new and expanding schemes. Based on our findings, we recommend the regional generalized additive model approach when conducting integrative analyses across schemes, or when analysing scheme data with reduced sampling efforts. This method enables existing schemes to be expanded or new schemes to be developed with reduced within-year sampling frequency, as well as affording options to adapt protocols to more efficiently assess species status and trends across large geographical scales

    Harnessing the biodiversity value of Central and Eastern European farmland

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    A large proportion of European biodiversity today depends on habitat provided by low-intensity farming practices, yet this resource is declining as European agriculture intensifies. Within the European Union, particularly the central and eastern new member states have retained relatively large areas of species-rich farmland, but despite increased investment in nature conservation here in recent years, farmland biodiversity trends appear to be worsening. Although the high biodiversity value of Central and Eastern European farmland has long been reported, the amount of research in the international literature focused on farmland biodiversity in this region remains comparatively tiny, and measures within the EU Common Agricultural Policy are relatively poorly adapted to support it. In this opinion study, we argue that, 10years after the accession of the first eastern EU new member states, the continued under-representation of the low-intensity farmland in Central and Eastern Europe in the international literature and EU policy is impeding the development of sound, evidence-based conservation interventions. The biodiversity benefits for Europe of existing low-intensity farmland, particularly in the central and eastern states, should be harnessed before they are lost. Instead of waiting for species-rich farmland to further decline, targeted research and monitoring to create locally appropriate conservation strategies for these habitats is needed now.Peer reviewe
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