Introduction

Red Lists provide information on the extinction risk of species in a given region (IUCN 2013) and have become well-established tools in nature conservation (e.g. Keller and Bollmann 2004; Butchart et al. 2005; Rodrigues et al. 2006; Fitzpatrick et al. 2007). Regional IUCN criteria (Gärdenfors et al. 2001; IUCN 2012) are increasingly used at the (sub-)national level, although some countries use specific regional/national criteria or local expert judgements to produce Red Lists. There are, however, numerous approaches for compiling Red Lists. Most Red List assessments in Europe or other areas of biodiversity importance (e.g. the Mediterranean region—Numa et al. 2016) use the IUCN Red List categories and criteria (e.g. amphibians—Temple and Cox 2009; vascular plants—Bilz et al. 2011; Orthoptera—Hochkirch et al. 2016). The use of IUCN criteria makes it possible to compare Red Lists more easily among countries but also among taxonomic groups and habitat types (Juslén et al. 2016). Although criticized by some, Red Lists are often used to prioritise conservation actions for threatened species (Possingham et al. 2002), with species in the highest Red List category usually receiving higher resource allocation for conservation (but see Neeson et al. 2018). We explore using national and continental Red Lists in relation to existing legislation such as the European Habitats Directive (Council Directive 92/43/EEC) and endemism as complementary tools to classify species of conservation importance. An integrated comparison of national Red Lists and the European Red List makes it possible to identify species that show a mismatch between both scales (Brito et al. 2010).

The IUCN uses five criteria to classify species in Red List categories (IUCN 2001): (a) population size reduction, (b) restricted geographic range size, (c) small population size and decline, (d) very small population or restricted distribution and (e) quantitative analysis of extinction risk. The application of these criteria results in classification of a species within 11 possible IUCN categories at the regional level (Gärdenfors et al. 2001). Regional IUCN criteria use the same quantitative criteria as those applied to global Red Lists with an additional criterion for downgrading the Red List category when a rescue effect is possible from neighbouring countries or regions or upgrading when the neighbouring populations are a sink (Gärdenfors et al. 2001). During a Red List assessment, species are assessed against all possible IUCN criteria and the Red List category resulting in the highest level of extinction risk being assigned to the species.

To test the difference between a supra-national integration of Red Lists of European countries and the European Red List, we used butterflies (Lepidoptera: Papilionoidea) as a model group. This is because they are among the best studied invertebrates in Europe (Settele et al. 2009). Despite large differences in data availability on distribution and/or trend data (Maes et al. 2015), many countries have compiled national or even regional Red Lists for this taxonomic group. Also at the European level, the IUCN Red List for butterflies is available (van Swaay et al. 2010). Especially for invertebrates, the applicability of IUCN criteria for national or regional Red Lists has been criticised by some as inappropriate (Cardoso et al. 2011; van Swaay et al. 2011), but defended by others (Collen and Böhm 2012). Here, we propose an alternative method to overcome the differences in Red List approaches among countries and to complement the present European IUCN Red List (van Swaay et al. 2010).

In this paper, we first compiled the most up to date information for all the European countries into an open access database published on the global biodiversity information facility (GBIF) platform using the most recent information on taxonomy and distribution. Second, we gathered the most recent national Red Lists from as many European countries as possible. With these data, we subsequently calculated a weighted species Red List Value (wsRLV) for all European butterflies by attributing numerical values proportionate to the threat statuses in the different national Red List categories in the different European countries. We compared this wsRLV with the Red List status in the European Red List of butterflies (van Swaay et al. 2010) to determine possible mismatches between both approaches (i.e. are we overlooking species on a European scale, that are threatened in a large part of Europe?). We discuss how our approach could additionally rank priorities for conservation actions for butterflies in Europe, complementary to the already existing ones such as the European Habitats Directive and the European Red List.

Materials and methods

For the purposes of the present work, we used the same delineation for Europe as in the Red List of European butterflies (van Swaay et al. 2010—Fig. 1) and Fauna Europaea (https://fauna-eu.org/data-handling): European mainland (Western Palearctic), including the Macaronesian archipelagos (excluding Cape Verde Islands), Cyprus, Franz Josef Land and Novaya Zemlya, but excluding the Western Kazakhstan. The European part of Russia (west of the Ural Mountains) and the Crimea are also included, but in contrast to Fauna Europaea European Turkey is excluded. This comprises 42 countries (excluding small countries such as Monaco, San Marino and Vatican City—Table 1). The Macaronesian archipelagos (Azores, Madeira and Canary Islands), which administratively belong to European countries (Portugal or Spain) were treated as separate “countries” because of their distinct biogeographical positions.

Fig. 1
figure 1

Mean Red List value (cRLV) per European country (country abbreviations are the same as in Table 1). Red = cRLV ≥ 30, Orange = cRLV 20–30, Yellow = cRLV 10–20, Light green = cRLV 5–10, Dark green = cRLV ≤ 5, Grey = no Red List available. Inset: Macaronesian archipelagos. (Color figure online)

Table 1 Number of species (Nspecs, with the number of endemic species (Nend) between brackets) and Red List species (NRLspec, criteria used for the Red List assessment: IUCN = IUCN criteria, NC = national criteria, EJ = expert judgement) per country together with the country code used in Fig. 1 and references for the species lists and the Red Lists. Only resident species and regular migrants are taken into account

For each of the 42 European countries, national species lists were compiled using the most recent literature and/or websites. These lists were checked by national experts (all co-authors) of the Butterfly Conservation Europe (BCE) consortium, a partnership organisation focused on the conservation of butterflies, moths and their habitats throughout Europe (http://www.bc-europe.eu/). The species list of the Macaronesian islands (Tennent 2005) was updated using Vieira and Karsholt (2010) and Vieira (2017) for the Azores, and Báez and Oromí (2010) and Monasterio León et al. (2017) for the Canary Islands. We used locally published species lists and matched them with the most recent taxonomical knowledge and species distribution information as used in the newly updated list of European butterflies. In total, 496 species were considered as being part of the European butterfly fauna, including the Macaronesian archipelagos (Wiemers et al. 2018). 148 (30%) of these species are endemic to the European continent. Cacyreus marshalli Butler, 1897 was accidentally introduced from South Africa into southern Europe in 1988 and is now well established in many Mediterranean countries (Paradiso et al. 2019). We considered it as being part of the national fauna in those countries where it is able to overwinter naturally, but excluded it from countries where it can only survive in greenhouses or where it is occasionally introduced with Pelargonium plants. Species for which the presence in a country needs confirmation were excluded from the analysis. For 54 species (11%), Europe lies at the (northern or western) edge of their distribution range. A species was considered as edge species when its population has less than 5% of its total range in Europe.

Apart from national species lists, we also compiled all available information regarding national Red Lists. Such lists were available for 34 out of the 42 European countries (81%—Table 1). Some countries such as Germany, Russia and Spain also have Red Lists at sub-national level (i.e. Länder, provinces, counties), but when a national Red List was available, we used the latter for further analysis. Belgium has separate Red Lists for the two administrative regions that are responsible for nature conservation: Flanders (northern Belgium; Maes et al. 2012) and Wallonia (southern Belgium; Fichefet et al. 2008) and does not have a national Red List for the whole country. Therefore, we combined the regional Red Lists into a Belgian Red List by (conservatively) taking the lowest extinction risk category of the two regions as the Belgian Red List category. Russia has a relatively old national Red List (Iliashenko and Iliashenko 2000; Danilov-Danilian 2001), but only four butterfly species are assessed as declining. We only used relatively recent Red Lists (≥ 2005), which excluded Russia (2001), reducing the number of Red Lists to 33 for this analysis.

For further analyses, we first attributed numerical values to the different Red List categories in the European countries: regionally extinct = 100; critically endangered = 80; endangered = 50; vulnerable = 30; near threatened = 20; least concern = 1; data deficient = 1; unknown = 1—i.e. there is a Red List for butterflies in the country and the species is present in the country, but it is not mentioned on the Red List (cf. Maes et al. 2012). These values are based upon the thresholds of decline for classifying species in the respective Red List categories (> 80% decline = critically endangered, > 50% decline = endangered, > 30% decline = vulnerable, etc.). Next, we calculated a mean Red List value per country (cRLV) and a weighted Red List value per species (wsRLV) using the square root of the area (instead of the area as such) of the countries in which each species was assessed as a weighting factor (i.e. the Red List value divided by the square root of the countries’ area). The square root of the area of the country was used to reduce the impact of very large countries on the wsRLV. Some of the countries did not use IUCN criteria, but had a similar classification as the one used by the IUCN. For these countries, the numerical values were attributed in the same way as for the countries that used IUCN criteria. Some countries (Bulgaria, Greece and the Former Yugoslav Republic of Macedonia and Slovakia), however, used a lower number of categories (usually lumping the “Critically Endangered” category and the “Endangered” category). In those cases, an intermediate value of 65 (the mean of 80 and 50) was given as a numerical Red List Value to the nationally used category “Endangered”.

Results

Twenty-three out of 33 European countries (70%) used IUCN criteria to assess the Red List status of butterflies, seven (21%) used expert judgement (Belarus, Greece, Hungary, Poland, Romania, Slovenia and Ukraine) and three (9%) used national criteria (Austria—Zulka et al. 2003; Germany—Ludwig et al. 2006, 2009; the Netherlands—de Iongh and Bal 2007; Table 1).

The most species-rich countries in Europe are Italy (272 species), Russia (258) and France (255—Table 1) followed by some of the Mediterranean (Greece and Spain), Balkan Peninsula (Bulgaria, the Former Yugoslav Republic of Macedonia and Albania), Alpine countries (Austria and Switzerland) and the Ukraine with more than 200 butterfly species. Countries with relatively low species-richness are island states such as Iceland (only the two migrant species Vanessa atalanta and V. cardui), Malta (23 species), Ireland (35 species) and Cyprus (48 species). In Europe (excluding the Macaronesian archipelagos), 35 species are considered as endemic on a national scale, with the highest endemism situated in the Mediterranean (Table 1): Spain (13 endemics), Italy (9, of which 4 on the mainland, 2 on Sardinia and 1 each on Sicily, the Aeolian Islands and the Pontine Islands) and Greece (8, of which 2 on the mainland, 4 on Crete and 1 each on the islands of Chios and Karpathos) and Cyprus (3). Two other European countries each have 1 endemic butterfly species: the Former Yugoslav Republic of Macedonia (Pseudochazara cingovskii) and Ukraine (Pseudochazara euxina).

A total of 44 species are present (including the irregular vagrant Hypolimnas misippus) on the Macaronesian archipelagos (including 20 endemics) of which 33 are resident on the Canary Islands (13 endemics), 15 on the Madeira Islands (4 endemics, including the globally extinct Pieris wollastoni) and 8 on the Azores (2 endemics—Table 2). Vanessa vulcania is present in both Madeira and the Canary Islands. There are no Red Lists available for the Macaronesian archipelagos, but seven of the endemic species on the Macaronesian archipelagos were assessed as being threatened in Europe: Pieris wollastoni, Pararge xiphia and Gonepteryx maderensis on the Madeira islands and Gonepteryx cleobule, Hipparchia bacchus, Hipparchia tilosi and Pieris cheiranthi on the Canary islands (van Swaay et al. 2010; Table 2).

Table 2 Species lists for the Macaronesian archipelagos together with their Red List category (RLCEur) on the European Red List of butterflies (van Swaay et al. 2010)

The countries with a mean Red List Value (cRLV) ≥ 30 are the Netherlands, Belgium, the Czech Republic and Denmark (Table 1). The spatial distribution of the mean Red List Value is highest in NW Europe and more or less decreases concentrically towards the edges of Europe with the lowest mean Red List Values in the Mediterranean region, e.g. Spain, France and Italy (Figs. 1, 2).

Fig. 2
figure 2

Mean Red List value per country (cRLV) with 95% confidence intervals. Country codes are the same as in Table 1. Horizontal lines indicate the values 50 (solid line), 30 (dashed line) and 20 (dotted line)

Regarding the weighted Red List Value (wsRLV) per species, five species that were assessed in more than one country had a weighted Red List value ≥ 50 (i.e. would qualify for the Red List category Endangered; Table 3): Colias myrmidone, Pseudochazara orestes, Tomares nogelii, Colias chrysotheme and Coenonympha oedippus (in decreasing order of wsRLV). Apart from these five species, 13 species also had a wsRLV ≥ 50, but were only assessed in a single country (Table 3). Two of these species were classified as being of Least Concern on the European Red List of butterflies (Oeneis tarpeia—Regionally Extinct in the Ukraine and Tomares callimachus—Endangered in the Ukraine; van Swaay et al. 2010). These two species are also present in Russia, where no recent Red List status is available. Three of the species that were only assessed in a single country were classified as Endangered (Turanana taygetica, Agriades zullichi and Polyommatus humedasae) and one as Vulnerable (Polyommatus golgus) on the European Red List of butterflies (van Swaay et al. 2010). Of the species that are considered as Least Concern on the European Red List of butterflies (van Swaay et al. 2010) and that were assessed in more than one country, 17 species had a weighted Red List Value between 30 and 50 (i.e. would qualify as Vulnerable): Nymphalis vaualbum, Neolysandra coelestina, Muschampia tessellum, Freyeria trochylus, Pseudophilotes baton, Pseudochazara geyeri, Phengaris alcon, Pseudophilotes bavius, Kirinia climene, Pontia chloridice, Erebia rhodopensis, Polyommatus admetus, Boloria aquilonaris, Pyrgus onopordi, Polygonia egea, Euphydryas aurinia and Euchloe penia (Tables 2, 3). Four more Least Concern species on the European Red List had a wsRLV between 30 and 50, but were only assessed in one country: Chazara persephone, Neolycaena rhymnus and Satyrus virbius (Vulnerable) in the Ukraine but they also occur in Russia where no Red List status is available and Hipparchia christenseni which is a Vulnerable endemic in Greece (Table 3).

Table 3 Species list of Europe indicating whether the species is a European endemic (EE, i.e. species that only occurs in Europe) and if the species has a larger distribution range outside Europe and reach the edge of their distribution range in Europe (EoR), the weighted Red List value per species in Europe (wsRLVEur) and in the European Union (wsRLVEU), the number of countries in which the species occurs in Europe (#CoEur) and in the European Union (#CoEU), the number of countries in which the species has a Red List status in Europe (#CoRLEur) and in the European Union (#CoRLEU), the Red List category in Europe (RLCEur) and in the European Union (RLCEU-RE regionally extinct, CR critically endangered, EN endangered, VU vulnerable, NT near threatened, LC least concern, DD data deficient, NA not assessed, NE not evaluated—van Swaay et al. 2010), the Annexes of the Habitats Directive in which the species is listed (HD) and the country (region) for which the species is endemic. Taxonomy is according to Wiemers et al. (2018)

When looking at the species in the European Union, 24 species had a weighted Red List value ≥ 50 (Table 3), of which ten were assessed in more than one country: Colias myrmidone, Nymphalis vaualbum, Pseudochazara orestes, Colias chrysotheme, Lycaena helle, Coenonympha hero, Coenonympha oedippus, Muschampia tessellum, Agriades dardanus and Polyommatus orphicus. Thirteen more species had a weighted Red List value ≥ 50, but were only assessed in a single country (Tables 2, 3).

Four species with a wsRLV ≥ 50 were assessed as being of Least Concern in the European Union: Lycaena helle, Coenonympha oedippus, Muschampia tessellum, and Pseudochazara geyeri. Among the species of the Habitats Directive, six had a weighted Red List value ≥ 30 (i.e. the threshold for being classified as Vulnerable) but were classified as being of Least Concern in the European Union (van Swaay et al. 2010): Lycaena helle, Coenonympha oedippus, Pseudophilotes bavius, Euphydryas maturna, Agriades aquilo and Euphydryas aurinia (Tables 2, 3).

Discussion

By compiling 42 national butterfly species lists and 33 recent Red Lists of European countries, we were able to apply an alternative way of ranking both the countries (using the mean Red List value) and the species of European conservation concern (using a weighted Red List value). Countries with the highest mean Red List value are mainly situated in NW and Central Europe. Of the species that were assessed in more than one country, 14 species have relatively high weighted Red List values (≥ 30, i.e. the threshold value to qualify for Vulnerable) but are not classified as threatened on the European Red List (van Swaay et al. 2010) and are not listed in the annexes of the European Habitats Directive.

Thirty-three out of 42 European countries (79%) have a recent (i.e. ≥ 2005) national Red List of butterflies. The majority of them (28 out of 33, i.e. 85%) date from after the compilation of the most recent European Red List of butterflies (van Swaay et al. 2010). This updated knowledge on national butterfly status will be very useful for the next European Red List assessment, especially because most of the European countries used regional IUCN criteria and/or categories for the national Red Lists assessments (Table 1). Three countries used their own national criteria and seven countries used expert judgement to classify species in Red List categories (Table 1). In the Netherlands, for example, the legally binding Red List (van Swaay 2006) was compiled using national criteria (de Iongh and Bal 2007). To compare the outcome with the use of IUCN criteria, however, a second Red List was made using the IUCN criteria for regional use resulting sometimes in different classifications for a number of species (van Swaay 2006). In other countries and for other species, however, such comparisons between national and IUCN criteria resulted in similar Red List classifications (e.g. Eaton et al. 2005 for birds in the UK). The suitability of IUCN criteria for Red List assessments of invertebrates has been criticised because of a supposed lack of data to apply the IUCN criteria correctly (Cardoso et al. 2011, 2012). For butterflies, however, both trend and distribution data are becoming increasingly available in many European countries. Depending on the availability, however, countries use either abundance data (monitoring data—van Swaay et al. 2016) or distribution data (often opportunistic data—Maes et al. 2015) to calculate “population” trends (i.e. criterion A for the IUCN Red List assessments). For comparisons among countries, it is recommended that similar methods are used for the trend calculations in Red List assessments.

Although IUCN Red List criteria are largely quantitative, the interpretation of the criteria and the data availability still differs strongly among European countries. The previous European Red List of butterflies, for example, was mainly based on expert judgement in the respective countries (van Swaay et al. 2010). Compared with other taxonomic groups for which European Red Lists have been compiled, a relatively low number of butterflies (38 out of 435 assessed species or 9%) were classified as threatened (Regionally extinct, Critically Endangered, Endangered or Vulnerable—van Swaay et al. 2011). Only bees have a lower proportion of threatened species on the European Red List, but that is mainly due to the large number of Data Deficient species (Nieto et al. 2014).

The open access availability of the national Red List statuses of butterflies throughout Europe would be very helpful when applying the rescue criterion used in regional Red Lists (IUCN 2012), where a Red List category could be lowered (depending on the species’ mobility) when a species is not threatened in the neighbouring countries or regions or upgraded when the neighbouring populations are considered as sinks. In countries where nature conservation legislation is regionalised (e.g. Belgium, Germany, Spain), it remains more appropriate to compile Red Lists on a sub-national level (cf. Maes et al. 2012). We also encourage local authorities or authors to make national or regional Red Lists available via open access platforms such as GBIF and, if possible, to publish regional Red Lists as a data paper, preferentially in an open access journal.

The weighted Red List value must be interpreted with care since not all countries have (up-to-date) national Red Lists (e.g. Russia, Portugal). Especially large countries such as Russia could have a big impact on the wsRLV since the Red List status is weighted using the area of the country as was done in the European Red List of butterflies (van Swaay et al. 2010). When such large countries publish a new Red List, it might change the wsRLV considerably. When the area as such is used as weighting factor, for Colias myrmidone, for example, if it would be classified as LC, NT, VU, EN or CR in Russia, its wsRLV would change from 78.3 without Russia, to 25.8, 38.6, 45.3, 58.7, 78.8, respectively with Russia. By using the square root of the country’s area, however, the wsRLVs would be 53.3, 59.4, 62.7, 69.1, 78.8, respectively. Another example is Oeneis tarpeia which occurred marginally in the Ukraine and is more widespread in Russia. Its highest possible wsRLV (100) is explained by the fact that only Ukraine has a Red List status for the species (regionally extinct) while Russia has none. If Russia were to classify it as Least Concern, its wsRLV would drop from 100 to 28.77.

Countries and species of European conservation concern

Countries with the highest mean Red List Value are under a very high anthropogenic pressure (e.g. Czech Republic—Konvička et al. 2006) and/or have among the highest nitrogen deposition values in Europe (Dise et al. 2011; e.g. the Netherlands—WallisDeVries and van Swaay 2017; Belgium—Maes and Van Dyck 2001; Maes et al. 2012). Large Mediterranean countries such as Italy (Bonelli et al. 2018) and Spain, in contrast, have the lowest proportion of threatened species. In Spain, this is mainly due to the fact that only 14 species were assessed against the IUCN Red List criteria of which six were considered as threatened (Verdú and Galante 2009; Verdú et al. 2011). On the other hand, in Italy where almost 98% of the species were assessed, the proportion of threatened species is also low. This is due to the low population density and to the ample availability of high quality habitat for butterflies (e.g. the Italian alpine region is not impacted by high anthropogenic pressures and hosts more than 150 species—Bonelli et al. 2018).

The weighted Red List value showed some mismatches between the European Red List category and the threat status in the different European countries (Brito et al. 2010). 128 species have a wsRLV ≥ 20 of which 55 (43%) are considered as threatened (Critically Endangered, Endangered or Vulnerable) or Near Threatened on the European Red list. On the other hand, 60 (47%) of these species were classified in the category Least Concern on the European Red list. Nine species that are endemic to Europe with a relatively high wsRLV (≥ 20) are considered of Least Concern on the European Red List (in decreasing order of wsRLV): Pseudophilotes baton, Erebia rhodopensis, Hipparchia christenseni, Satyrus virbius, Carcharodus baeticus, Erebia orientalis, Kretania hesperica, Kretania psylorita, Euchloe bazae and Zerynthia cretica. This wsRLV, in addition to the Habitats Directive, the European Red List of butterflies and the endemism of species (SPECs, i.e. Species of European Conservation Concern—van Swaay et al. 2011), can help to determine for which butterflies conservation action should be undertaken. It can, for example, indicate for which (sub-) national or European species action plans should be compiled or for which species more research is needed to protect them more adequately. The ecology of the species with a high weighted Red List value that are also on the Habitats Directive and the management measures needed for their conservation are discussed in van Swaay et al. (2012). Some of the species with high weighted Red List values have been relatively well-studied recently: Colias myrmidone (e.g. Dolek et al. 2005; Konvička et al. 2008; Szentirmai et al. 2014; Sielezniew et al. 2019), Pseudochazara cingovskii (e.g. Verovnik et al. 2013), Agriades zullichi and Polyommatus violetae (e.g. Munguira et al. 2017), Coenonympha hero (e.g. Cassel-Lundhagen et al. 2008; Tiitsaar et al. 2016; Sielezniew and Nowicki 2017), Coenonympha oedippus (e.g. Čelik et al. 2009, 2015) and Lycaena helle (e.g. Habel et al. 2010; Nabielec and Nowicki 2015). For others, such as Erebia neleus (e.g. Schmitt et al. 2016) and Polyommatus orphicus (Vishnevskaya et al. 2016), research is mainly focusing on genetics in order to determine the species’ taxonomic status.

On the basis of our study, we can determine nine species that are endemic to Europe, that are not on the Habitats Directive, that are classified as critically endangered, endangered or vulnerable (or were not assessed or data deficient) on the European Red List of butterflies, that have a wsRLV ≥ 30: Pseudochazara orestes, Agriades zullichi, Polyommatus humedasae, Pyrgus cirsii, Polyommatus orphicus, Pseudochazara amymone (Verovnik et al. 2014), Pseudochazara cingovskii, Pseudochazara euxina and Euchloe bazae (Tables 2, 3). All of these species were also mentioned as Species of European Conservation Concern in a follow-up exercise of the Red List of European butterflies (van Swaay et al. 2011) and are most in need of ecological research and/or monitoring for their conservation in Europe.

Due to a mismatch between the European Red List of butterflies and the species on the Annexes of the Habitats Directive, some authors suggested regular updating of the Habitats Directive (Cardoso 2012; Hochkirch et al. 2013). Maes et al. (2013), however, argued that this would allow member states to weaken the Habitats Directive legislation, which would be counterproductive. The complementary use of different approaches to determine conservation priorities (Habitats Directive, the IUCN European Red List of butterflies, Species of European Conservation Concern, this exercise) for butterflies is, in our opinion, a better approach.

Conservation actions for species with a high wsRLV can be taken both on the (sub-) national and on the continental scale. National legislations could protect sites with threatened butterfly species, for example, in Natura 2000 sites and other nature reserves. Management and restoration measures can help to preserve or create suitable ecological conditions for butterflies (van Swaay et al. 2012). Other measures such as (re)connecting sites with threatened species and/or reintroductions of regionally extinct species can also be taken on the national level (Kuussaari et al. 2015). On a broader, continental scale, actions to reduce nitrogen deposition (Pöyry et al. 2017; WallisDeVries and van Swaay 2017) and/or the effect of climate change (Hill et al. 2002; Devictor et al. 2012) could help to preserve and protect threatened butterflies. For island endemics, measures to prevent the introduction of invasive species are important in addition to habitat conservation measures. Finally, creating a Natura 2000 network beyond national borders could help the exchange of individuals between neighbouring countries (Trochet and Schmeller 2013) and could enable species to track climate change-induced distribution shifts (Settele et al. 2008).

Improving national Red List assessments

Although Red Lists were not explicitly designed to be used in setting conservation priorities, many national and international conservation organisations and/or governmental institutions use them to prioritise actions for threatened species (Rodrigues et al. 2006). The availability of both European and national Red Lists is, therefore, of paramount importance for butterfly conservation. We encourage countries or regions without, or with an outdated Red List, to compile one, preferably using IUCN criteria so that Red Lists become more easily comparable among countries and species (Miller et al. 2007; Collen and Böhm 2012). If a given region is under-surveyed, citizen science can help to augment distribution data (e.g. through tourists that record butterflies while on holidays and enter their data in, for example, Observado or iNaturalist—Maes et al. 2015). This would make it possible to estimate the Area of Occupancy and Extent of Occurrence (the two main figures needed for criterion B of the IUCN criteria—Bland et al. 2016) much more accurately. With the list length method (a systematic list-based monitoring—Roberts et al. 2007), we can also calculate European distribution trends more easily. To collect trend data, establishing national or regional butterfly monitoring schemes in countries without such a scheme at present (as in some of the Mediterranean and Eastern European countries—van Swaay et al. 2016), could be very helpful. Butterfly Conservation Europe and its partners are actively working on extending monitoring schemes to new countries and expand the monitoring in existing countries. One of the initiatives is the eBMS (http://www.butterfly-monitoring.net), in which 12 Butterfly monitoring schemes are already participating. This is also important, since population trends detect declines more rapidly than distribution trends (van Strien et al. 2011). This would allow the calculation of more reliable trends, one of the criteria for regional IUCN Red List assessments (IUCN 2012). All these new developments will make it possible to make use of quantitative data instead of expert judgements and will be a huge step forward for the compilation of the next European Red List of butterflies. Similarly, the compilation of national species distribution data into a European database (cf. LepiDiv) would facilitate the calculation of the continental range of species (criterion B for the IUCN Red List assessment).

If Red Lists are updated regularly, e.g. every 10 years as suggested by the IUCN (cf. IUCN 2013) it would even become possible to make a Red List Index for butterflies at the global or continental (Butchart et al. 2005; Lewis and Senior 2011), next to the (sub-) national scales (e.g. Juslén et al. 2013). We also recommend the publication of the threat status of all species present in a country, not only those that are threatened. This excludes the problem of not knowing whether a species is either absent from the country, is not threatened, or was not assessed.

The use of regional IUCN criteria in smaller countries or regions (e.g. Flanders, northern Belgium—Maes et al. 2012) could lead to the classification of a larger number of species in a relatively high threat category because of the smaller absolute area of occupancy or extent of occurrence (IUCN criterion B) compared with large countries. This does, however, not seem to be the case (Fig. 3; Pearson correlation = − 0.275, p = 0.121), possibly because of the downgrading option in regional Red List assessments (IUCN 2003).

Fig. 3
figure 3

Correlation between the area (sqrtArea) of a country (x-axis) and the mean Red List Value (cRLV—y-axis)

A final recommendation to improve the use of Red List assessments is to publish the distributional data at the highest possible resolution together with the criteria used to compile the national Red List on an open access platform (e.g. GBIF). National or local data are not always known about or accessible to global Red List assessors (Rodrigues et al. 2006) and open access publications could greatly help supra-national Red List comparisons or compilations (Numa et al. 2016).

In conclusion, the database developed together with this paper, i.e. an integrated database with national species inventories and all currently available national Red Lists, allowed us to prioritise conservation actions for European butterflies, in addition to existing tools such as the Habitats Directive, the Red List of European butterflies and information on endemism. Regular updates of this database will allow policy makers and butterfly conservationists to continuously estimate Red List Values for all European butterflies.