Research Article |
Corresponding author: Dolezel Marion ( marion.dolezel@umweltbundesamt.at ) Academic editor: Josef Settele
© 2018 Dolezel Marion, Bartel Andreas, Heissenberger Andreas.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Marion D, Andreas B, Andreas H (2018) Spatial analysis of the occurrence of protected butterflies in six European biogeographic regions as a tool for the environmental risk assessment of Bt maize. BioRisk 13: 31-52. https://doi.org/10.3897/biorisk.13.20688
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In the environmental risk assessment (ERA) of genetically modified plants (GMP), the consideration of the different environments where genetically modified plants (GMP) will be commercially grown (the receiving environments) plays a crucial role. In addition, relevant protection goals which may be adversely affected by the GMP have to be considered during the ERA. Using a literature- and GIS-based approach, distribution data of protected lepidopteran species listed in Council Directive 92/43/EEC and of maize cultivation was used in order to evaluate potential spatial overlaps between GM maize and protected non-target Lepidoptera in different biogeographical regions (BGR) of the EU. Each BGR has its peculiarity regarding maize cultivation and the distribution of protected butterflies. The lepidopteran fauna of the Pannonian BGR is particularly sensitive due to large maize cultivation shares and wide distribution of protected butterflies within this BGR. For the BGRs evaluated potential, spatial exposures of protected butterflies to GM maize cannot be excluded. This study shows that the suggested approach is a useful tool for the consideration of EU-wide protected species in different receiving environments during the problem formulation of the ERA of GMPs.
Genetically modified plants, European Union, protection goals, environmental risk assessment, Bt maize, non-target Lepidoptera, biogeographical regions, Habitats Directive, spatial analysis
In the European Union (EU), the authorisation of genetically modified plants (GMPs) is guided by principles which are laid down by Directive 2001/18/EC and its annexes. One of the basic principles in the authorisation system of GMPs in the EU is the case-by-case evaluation of the GMP in question. Potential adverse effects of the specific GMP on human health and the environment and the potential consequences thereof need to be identified and assessed during the environmental risk assessment (ERA). Detailed guidance on how to conduct the ERA of GMPs is provided by the European Food Safety Authority (
An important aspect for the ERA of GMOs is that the receiving environments shall be taken into account when risk scenarios for the GMP in question are formulated and when data is generated by the applicant (
Another important aspect in the ERA of GMPs is that those aspects of the environment that need protection from harm need to be identified during the problem formulation step in the ERA (
A prominent example of non-target species of conservation concern are non-target butterflies which are recognised as important protection goals when assessing environmental risks of insect resistant (Bacillus thuringiensis, Bt) maize. In maize fields, few butterfly species occur and these are mostly considered as pest species (
However, endangered or protected butterfly species are often difficult to detect under field conditions due to the low abundances of certain species which require higher sampling efforts than frequent species (
How to address different receiving environments in the ERA of GMP was one of the aims of the research being undertaken in the EU-project AMIGA (Assessing and Monitoring the Impacts of Genetically modified plants on Agro-ecosystems). A major task in the context of AMIGA was the improvement of baseline data on biodiversity in selected agro-ecosystems and adjacent habitats in five different geographical regions of Europe (
This study presents research carried out in the course of the AMIGA project. The aim was to identify and assess relevant protection goals in different receiving environments of Europe for the ERA of GMPs. Butterfly species protected under the Habitats Directive were used as a case study representing EU-wide protection goals for biodiversity as well as important non-target species when cultivating insect-resistant Bt maize in the European Union. The protected butterfly species are often restricted in their range, have a very local occurrence and may therefore not be affected by the GMP due to geographical distributions other than the cultivation area of the GMP in question. Assessing the spatial overlap between a particular GMP and protected or endangered species during the problem formulation of the ERA would allow identification of those species of conservation concern that are likely to be exposed to Bt maize and those without potential occurrences in or next to GMP cultivation areas. For this purpose, European butterfly species protected by the Habitats Directive were evaluated whether they may occur within maize cultivation areas of Europe using the biogeographical region approach. A similar approach could also be used for other protected species (e.g. protected moth species) or even habitats in close spatial relationship to the cultivation of GMPs. Habitats protected by the Natura 2000 system under the Habitats Directive represent protection objects with specific conservation goals which may also be affected by the cultivation of GMPs. By using a similar methodology, the spatial relationship between Natura 2000 habitats and potential GMP cultivation could also be studied. For the demonstration of the approach shown in this study, the authors focus on protected butterfly species under the Habitats Directive.
The specific questions addressed in this study were:
Are the European biogeographical regions a useful concept for classifying receiving environments for the ERA of GMPs?
Can potential spatial overlaps between protected FFH butterfly species and maize cultivation areas in different biogeographical regions be identified by the use of a GIS-based spatial analysis?
From the EUROSTAT online database, the areas of maize cultivation (green maize and corn maize) were queried for NUTS1 and NUTS2 regions, using the latest available data entry between 2003 and 2012 for each country or region (http://epp.eurostat.ec.europa.eu). The NUTS classification (Nomenclature of Territorial Units for Statistics) is a hierarchical system for dividing up the economic territory of the EU for the purpose of harmonised statistics and regional socio-economic analyses. NUTS1 is the level of major socio-economic regions. The next smaller units of NUTS level 2 correspond to Regioni (IT), Régions (FR), Regierungsbezirke (DE) or Bundesländer (AT) (http://ec.europa.eu/eurostat/web/nuts/overview). If available, the maize area of NUTS2 was used, otherwise the proportional split of the NUTS1 maize area was used for those regions not covered by NUTS2 data. Maize data from Greece and Cyprus was not available. Maize data was used from EU Member States for which data on the distribution of protected butterflies was available (see also below). In case the border of the biogeographic region separated a NUTS2 region, the maize cultivation area of the NUTS2 region was split between the two neighbouring biogeographic regions in proportion to the biogeographic region area share assuming equal distribution of maize in the NUTS2 region. Results are presented as hectares maize cultivation per total area of the biogeographic region or NUTS2, respectively.
All butterfly species listed in Annexes II and IV of the Habitats Directive were used as a starting point for the analysis. Of the 31 butterfly species listed in the Annexes, 29 species were selected and two species were excluded (Polyommatus eroides and Hesperia comma f. catena). Polyommatus eroides is considered a subspecies of P. eros. Hesperia comma catena is considered a subform of H. comma. Both species are not listed in the Annexes of the Habitats Directive (
Species occurring exclusively at high altitudes (above the timberline) or in high geographical latitudes are less likely to spatially overlap with maize cultivation areas and were therefore also excluded. This was the case for species which occur near or above the timberline: Clossiana (Boloria) improba, Erebia sudetica; at high altitudes: Erebia christi, Erebia calcaria; or in Arctic regions: Erebia polaris, Agriades (Plebejus) glandon aquilo. Also Plebicula (Polyommatus) golgus was excluded as this species only occurs in two mountain chains in southern Spain at high altitudes. For the species Nymphalis vaualbum and Pseudophilotes bavius, no Article 17 assessments were available for the first reporting period (http://bd.eionet.europa.eu/activities/Reporting/Article_17). These nine species were therefore not considered in the analysis.
Data on the distribution of the selected 20 FFH butterfly species was retrieved from the Article 17 Report Database of the EEA (www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec). National distribution data was transposed to a 10 km grid due to the heterogeneity of the data sets received. At the time of the compilation of this manuscript, only data from the first reporting period (2001 – 2007) under article 17 were available. No information on the distribution of FFH butterfly species from five EU Member states (Romania, Bulgaria, Croatia, Malta and Cyprus) was available. Therefore FFH butterfly data cover EU 23.
The distribution data of the 20 FFH butterfly species was used to calculate the share of each BGR area occupied by a specific FFH species occurring in this BGR. Boxplots indicating the median, the quartiles and the interquartile range were plotted. The share of the distribution area of each FFH butterfly species in each BGR was calculated in order to evaluate the importance of each BGR for the individual species.
The zoning scheme of the BGRs of Europe comprises 9 biogeographic regions according to Article 1 of Directive 92/43/EEC (http://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe; version of 25. Apr 2011). As the BGRs cover the geographical Europe, data have been clipped to the area of the available maize and FFH butterfly distribution data. The Macaronesian, Black Sea and the Steppic BGRs are not represented in this evaluation due to a lack of data on FFH butterfly distribution from these regions in the first Article 17 reports. In total, 6 BGRs were taken into consideration representing the study area (Figure
The spatial overlap between the distribution areas of FFH butterfly species and the maize cultivation in a particular BGR was shown by the use of two case studies. The distribution areas of the FFH butterfly species Euphydryas aurinia and of Lycaena helle in a specific BGR (Atlantic BGR and Boreal BGR, respectively) were plotted against data on the maize cultivation in the respective BGR in order to assess the spatial overlap and the potential for exposure to Bt maize cultivation in the specific BGR.
All geographic data were processed using the GIS software package ArcGIS/ArcMap, version 10.2.
The area of maize cultivation is not equally distributed across the different biogeographical regions of Europe (Table
Area, maize cultivation area and calculated maize share in six biogeographic regions of Europe.
BGR | Area (ha) | Maize (ha) | Maize share (%) |
---|---|---|---|
Alpine | 30,302,147 | 875,338 | 2.9 |
Atlantic | 78,180,467 | 3,369,596 | 4.3 |
Boreal | 83,915,636 | 43,326 | 0.1 |
Continental | 103,595,103 | 3,709,289 | 3.6 |
Mediterranean | 74,501,738 | 697,812 | 0.9 |
Pannonian | 11,074,931 | 1,374,209 | 12.4 |
Total | 381,570,022 | 10,069,570 | 2.6 |
If the maize share is broken down on the level of the NUTS2 regions, the core areas of maize cultivation in Europe can be seen (Figure
Boxplots of maize shares in NUTS2 regions of six different BGRs in Europe. Light blue box indicates lower (25%) quartile to median value. Dark blue box indicates median values to upper (75%) quartile. Whiskers indicate minimum and maximum values. Numbers next to boxes indicate interquartile range of maize shares of NUTS2 regions in each BGR. All values refer to percentage of maize of NUTS2 regions in the specific BGR.
After exclusion of 11 FFH butterfly species (see Methods) the remaining 20 butterfly species were spatialised to six biogeographic regions of Europe according to their reported distribution (Table
According to the Habitats Directive, the conservation of Article II species requires the designation of Special Areas of Conservation while Annex IV species require strict protection across their natural range. From the Article 17 report, database information is also available to what extent the populations of the individual FFH butterfly species listed in Annex II are covered by Natura 2000 sites in each EU Member State. For 9 out of the 20 butterflies addressed in this study information is available on the coverage of their populations by Natura 2000 sites (Table
Occurrence of 20 FFH butterflies in six biogeographic regions of Europe. Distribution data from EEA. x = occurrence; ALP = Alpine; ATL = Atlantic; BOR = Boreal; CON = Continental; MED = Mediterranean; PAN = Pannonian; Annex = listed in Annex II or IV of Directive 92/43/EEC; Natura 2000 = Information on the proportion of the population covered by the Natura 2000 network; x = reported (x) = not reported.
Species | Annex | ALP | ATL | BOR | CON | MED | PAN | Natura 2000 |
Apatura metis | IV | x | x | x | ||||
Coenonympha hero | IV | x | x | x | x | |||
Coenonympha oedippus | II, IV | x | x | x | x | x | ||
Colias myrmidone | II, IV | x | x | x | x | |||
Euphydryas aurinia | II | x | x | x | x | x | x | x |
Fabriciana (Agrynnis) elisa | IV | x | ||||||
Hypodryas (Euphydryas) maturna | II, IV | x | x | x | x | x | x | |
Leptidea morsei | II, IV | x | x | x | x | |||
Lycaena dispar | II, VI | x | x | x | x | x | x | x |
Lycaena helle | II, IV | x | x | x | x | |||
Lopinga achine | IV | x | x | x | x | x | x | |
Maculinea (Phengaris) teleius | II, IV | x | x | x | x | x | x | x |
Maculinea (Phengaris)) arion | IV | x | x | x | x | x | x | |
Maculinea (Phengaris) nausithous | II, IV | x | x | x | x | x | x | |
Melanargia arge | II, IV | x | x | x | (x) | |||
Papilio alexanor | IV | x | x | |||||
Papilio hospiton | II, IV | x | (x) | |||||
Parnassius apollo | IV | x | x | x | x | x | ||
Parnassius mnemosyne | IV | x | x | x | x | x | ||
Zerynthia polyxena | IV | x | x | x | x |
The calculated shares of the BGR area occupied by the different butterfly species in the different BGRs are shown in Figure
Share of BGR area occupied by lepidopteran FFH species occurring in this BGR in the 6 BGRs. Light blue box indicates lower (25%) quartile to median value. Dark blue box indicates median values to upper (75%) quartile. Whiskers indicate minimum and maximum values. Numbers above whiskers indicate the interquartile range. All values refer to percentage of the BGR area occupied by the species.
Calculating the share of the total distribution area of each FFH butterfly species in each of the BGRs, the importance of each BGR for the distribution of the respective species can be seen (Table
Share of distribution area of FFH butterflies in the respective BGR (percentages).
ALP | ATL | BOR | CON | MED | PAN | Total | |
---|---|---|---|---|---|---|---|
Apatura metis | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 99.9 | 100 |
Coenonympha hero | 3.6 | 0.0 | 65.1 | 31.3 | 0.0 | 0.0 | 100 |
Coenonympha oedippus | 19.0 | 32.6 | 0.0 | 45.2 | 0.0 | 3.1 | 100 |
Colias myrmidone | 12.9 | 0.0 | 0.0 | 80.7 | 0.0 | 6.4 | 100 |
Euphydryas aurinia | 17.1 | 28.9 | 4.6 | 27.7 | 20.3 | 1.4 | 100 |
Fabriciana elisa | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 100 |
Hypodryas maturna | 6.3 | 0.0 | 64.2 | 10.2 | 0.0 | 19.3 | 100 |
Leptidea morsei | 35.2 | 0.0 | 0.0 | 41.1 | 0.0 | 23.8 | 100 |
Lopinga achine | 35.0 | 0.4 | 27.1 | 31.5 | 0.1 | 5.8 | 100 |
Lycaena dispar | 8.6 | 7.3 | 23.2 | 44.4 | 0.2 | 16.4 | 100 |
Lycaena helle | 3.7 | 0.0 | 18.6 | 77.6 | 0.0 | 0.0 | 100 |
Melanargia arge | 6.5 | 0.0 | 0.0 | 1.8 | 91.8 | 0.0 | 100 |
Maculinea arion | 33.8 | 1.6 | 8.8 | 42.0 | 7.0 | 6.8 | 100 |
M. nausithous | 7.7 | 1.8 | 0.0 | 84.5 | 0.2 | 5.8 | 100 |
M. teleius | 11.7 | 3.3 | 3.6 | 62.0 | 0.7 | 18.8 | 100 |
Papilio alexanor | 43.0 | 0.0 | 0.0 | 0.1 | 57.0 | 0.0 | 100 |
Papilio hospiton | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 100 |
Parnassius apollo | 65.6 | 5.1 | 3.4 | 10.7 | 15.1 | 0.0 | 100 |
Parnassius mnemosyne | 38.1 | 0.0 | 18.4 | 19.0 | 4.5 | 20.0 | 100 |
Zerynthia polyxena | 11.4 | 0.0 | 0.0 | 34.3 | 18.5 | 35.8 | 100 |
The spatial overlap between the distribution areas of two FFH butterfly species and maize cultivation in a specific BGR are shown in Figure
As a second case study, the distribution of Lycaena helle in the Boreal BGR is shown (Figure
Distribution of the lepidopteran FFH species Euphydryas aurinia and share of maize in the Atlantic BGR.
Are the European biogeographical regions a useful concept for classifying receiving environments for the ERA of GMPs?
The ERA of GMPs has to be carried out on a case-by-case basis, meaning that the required information varies depending on the types of the GM plants and trait(s) concerned, their intended use(s) and the potential receiving environment(s) where the GMP is intended to be grown (
However, the repeated reporting cycle in the framework of Article 17 of the Habitats Directive has the potential that the reported data quality and entirety will be improved during the next reporting periods, so that a repeated analysis is likely to produce more reliable results. Even if data for specific species in particular BGRs are incomplete or lacking, the approach can be useful for a first assessment of potential spatial overlaps during the problem formulation of the ERA, although it must be kept in mind that the results should be interpreted cautiously.
Can potential spatial overlaps between protected FFH butterfly species and maize cultivation areas in different biogeographical regions be identified by the use of a GIS-based spatial analysis?
The analysis based on the BGR classifications shows that each BGR has its specificities regarding the occurrence and distribution of FFH butterfly species and maize cultivation. The Continental BGRs is the largest of the European BGRs which may explain why it hosts the highest number of species with a significant share of their distribution in this BGR. However, the Mediterranean BGR, although generally having low shares of distribution areas of butterflies, is of importance for certain species as their distribution areas lay exclusively within this BGR. Distribution ranges of FFH butterfly species occurring in the Boreal BGR, the second largest region, as well as maize cultivation, are minimal in this BGR. The analysis excluded species occurring above the timberline, thus the FFH butterfly species relevant for the Alpine BGR are likely to be concentrated in the inner-alpine valleys or alpine foothills where maize, in particular silage maize for cattle feeding, can still be grown (
Maize is cultivated in all six BGRs assessed in this study, although with a varying intensity between and, particularly, within the BGRs. While maize cultivation is limited in the Boreal and the Mediterranean BGR, the Pannonian BGR is a maize cultivation hotspot within the EU. Limiting factors for maize cultivation are low soil temperatures for germination, low temperature sums and a lack of sufficient precipitation in the summer months (
When using the European biogeographic regions concept, potential spatial overlaps for FFH butterfly species can only be excluded if either the particular FFH butterfly species or maize cultivation is absent from the specific biogeographic region. At this geographical scale, results could be different for other crops such as sugar beet which is highly concentrated in north-western Europe (
The methodology proposed in this study allows a first assessment of potential spatial overlaps of FFH butterflies and maize cultivation during an EU-wide risk assessment approach. However, uncertainties remain with respect to the factual exposure of the individual species to Bt maize. Risks for individual butterfly species due to Bt maize cultivation depend not only on spatial exposure of the butterfly to Bt maize pollen but also on the individual biological characteristics and regional life cycle specificities of the particular butterfly species. For example larvae of certain species (e.g. Maculinea spp.) are social parasites of different ant species (
The analysis presented in this study is based on the actual distribution information of selected FFH butterfly species and data on maize cultivation in six different BGRs of Europe. It provides an assessment of the distribution of EU-wide protected non-target lepidopteran species in different BGRs and of the potential spatial overlap between these species and maize cultivation areas in the EU. The analysis shows that the potential spatial exposure of several protected butterfly species in Europe to Bt maize cultivation cannot be excluded at the BGR level.
The literature- and GIS-based selection approach for evaluating overlaps of maize cultivation and the occurrence of FFH lepidopteran species presented in this study is considered useful for the ERA of insect-resistant (Bt) maize. The approach can be used in the first step of the ERA, the problem formulation, in order to select those EU-wide protected species that may be most likely at risk when Bt maize is cultivated throughout the EU. It helps further structuring the ERA by indicating which species are likely to be exposed to the relevant GMO due to their occurrence and distribution in each BGR. However, further ERA steps require a more detailed analysis of actual spatial overlaps of protected lepidopteran species with maize cultivation areas with a finer spatial resolution. In addition, temporal overlaps of larval occurrences with regional maize flowering periods as well as species specificities have also to be taken into account. However, such an analysis is not feasible at an EU-wide scale and will require an involvement of national authorities and biodiversity experts.
The approach proposed in this study can be used as a tool for the consideration of different receiving environments based on the biogeographical regions during the ERA of GMOs which is transferable to other types of GMOs as well as other protected species or habitats.
This is the publication No. 34 produced within the framework of the project Assessing and Monitoring the Impacts of Genetically Modified Plants on Agro-Ecosystems (AMIGA), funded by the European Commission in the Framework Programme 7.THEME [KBBE.2011.3.5-01] under grant agreement no. 289706.