Presence records of Aedes vexans (Diptera: Culicidae) in Germany

Occurrence Observation
Latest version published by Pensoft Publishers on Mar 16, 2026 Pensoft Publishers
Publication date:
16 March 2026
Published by:
Pensoft Publishers
License:
CC-BY-NC 4.0

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 6,422 records in English (203 KB) - Update frequency: not planned
Metadata as an EML file download in English (27 KB)
Metadata as an RTF file download in English (20 KB)

Description

Aedes vexans, one of the most widespread and abundant mosquito species in Germany, is a demonstrated or putative vector of numerous pathogens of humans and animals. To document its spatial and temporal occurrence, we compiled a comprehensive dataset based on both passive and active mosquito monitoring. The dataset comprises 6422 occurrence records collected between 2011 and 2023. They document the presence of 225565 individual mosquitoes from 2784 distinct locations. Of the total occurrences, 2963 originate from citizen science contributions, while the remainder stem from active monitoring.Passive monitoring was conducted through the citizen science project “Mückenatlas”, in which volunteers collected and submitted mosquito specimens from across Germany. All citizen-collected specimens were subsequently identified by professional entomologists. Active monitoring was carried out by experts using a wide range of standardized entomological methods, including trapping, aspirating and netting adults as well as sampling larvae and pupae by dipping and sieving. The dataset, or subsets thereof, has already been used in scientific publications.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 6,422 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Pothmann P, Werner D, Kampen H, Thulke H (2026). Presence records of Aedes vexans (Diptera: Culicidae) in Germany. Version 1.4. Pensoft Publishers. Occurrence dataset. https://ipt.pensoft.net/resource?r=aedesvexansgermany&v=1.4

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Pensoft Publishers. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: c6cc34ba-cc20-44c9-b43b-7b48f20bc37b.  Pensoft Publishers publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Bulgaria.

Keywords

Occurrence; Observation

Contacts

Peter Pothmann
  • Originator
Leibniz Centre for Agricultural Landscape Research
Doreen Werner
  • Point Of Contact
Leibniz Centre for Agricultural Landscape Research
Helge Kampen
  • Point Of Contact
Friedrich-Loeffler-Institut
Hans-Hermann Thulke
  • Originator
Helmholtz Centre for Environmental Research
Doreen Werner
  • Point Of Contact
Leibniz Centre for Agricultural Landscape Research
Helge Kampen
  • Point Of Contact
Friedrich-Loeffler-Institut

Geographic Coverage

N/A

Bounding Coordinates South West [47.536, 6.05], North East [54.776, 14.997]

Taxonomic Coverage

No Description available

Kingdom Animalia
Phylum Arthropoda
Class Insecta
Order Diptera
Family Culicidae

Temporal Coverage

Start Date / End Date 2011-04-26 / 2023-11-21

Project Data

In response to increasingly frequent outbreaks of mosquito-borne diseases in Europe and the need to update historic distribution data, a nationwide mosquito monitoring programme was launched in Germany in 2011 (Werner et al. 2020). The project aims to systematically document the occurrence, distribution, and spatiotemporal dynamics of culicid species across the country. It combines active monitoring with a passive approach through the citizen science project “Mückenatlas”. Between 2011 and 2019, approximately 516000 mosquito specimens were collected and analysed, with the resulting occurrence records being stored and maintained in the German mosquito database CulBase. In total, 52 species from seven genera were identified, including several species not recorded for decades, and newly established invasive species. The monitoring revealed both the introduction of invasive species and shifts in distribution patterns of native taxa, likely associated with globalization and climate change (Werner et al. 2020). The data collected within the project provides an updated inventory of the German mosquito fauna and serves as a foundation for vector surveillance and risk assessment. Due to its importance for the early detection of invasive species and potential disease vectors, the monitoring programme is aimed to be perpetuated to ensure long-term continuation (Werner et al. 2020).

Title Mosquito Monitoring in Germany
Identifier CulBase
Funding The work was financially supported by the German Federal Ministry of Food and Agriculture (BMEL)/German Ministry of Agriculture, Food and Regional Identity (BMLEH) through the Federal Office for Agriculture and Food (BLE), grant numbers 2810HS022, 2819104115, 2819104615 and 2818SE001, and by the Robert-Koch-Institute, Germany, grant number 1362/1-982.

The personnel involved in the project:

Doreen Werner
  • Owner
Helge Kampen
  • Owner

Sampling Methods

Mosquitoes were collected using both active and passive surveillance approaches. Active sampling of adult mosquitoes was conducted during the vegetative seasons (April–October) using CO₂-baited BG Sentinel and EVS traps at numerous sites across Germany, with varying spatial intensity between 2011 and 2019, including targeted trapping following West Nile virus emergence. Additional adults were collected by aspirating resting females in animal shelters and zoos, sampling hibernation sites, and netting from vegetation or animal and human bait. Larvae and pupae were sampled nationwide from natural and artificial breeding sites (Werner et al. 2020). Passive sampling was conducted through the citizen science project “Mückenatlas,” launched in 2012, in which citizens submitted mosquitoes from their private surroundings for identification (Werner et al. 2020). All submitted specimens were subsequently identified by skilled entomologists. Active monitoring was carried out by experts using standardized trapping and collection methods. Most adult mosquitoes were sampled using CO₂-baited traps. These traps were typically activated for 24 hours per week and could yield multiple individuals. Additional active collection techniques included aspirating and sweep netting to capture resting or flying mosquitoes, while human-bait and animal-bait collections targeted host-seeking female specimens. The aquatic mosquito stages were sampled using the dipping technique. For a very small number of records, the sampling method was not documented. Morphologically, all mosquitoes were identified as adults. Thus, collected aquatic stages were often carried along in water from their breeding sites and kept until adult emergence. Morphological identification of adults followed standard keys (Mohrig 1969, Schaffner et al. 2001, Becker et al. 2010). Some aquatic stages as well as damaged adults and adults of cryptic and closely related species were identified genetically (Folmer et al. 1994, Proft et al. 1999, Hébert et al. 2003, Rudolf et al. 2013, Kronfeld et al. 2014). After identification, a database record was created in CulBase for each occurrence, including information on the federal state, geographic coordinates (latitude and longitude), sampling time or period, species identification, number of individuals collected, sex, developmental stage, habitat type, and collection method. For a detailed description of the sampling design, data collection, and results, see Werner et al. (2020).

Study Extent Data collection was carried out within the administrative boundaries of Germany. The sampling frequency and exact locations were irregular and potentially opportunistic, depending on the monitoring approaches. Active monitoring was constrained by access, personnel, and financial resources, while passive monitoring relied on random observations, resulting in uneven spatial and temporal coverage.
Quality Control The reported years were verified to exclude potential typographical errors, and only data from years in which monitoring was actually conducted were retained. The coordinates were checked against federal state boundaries using GADM version 4.1. Two points appeared to lie slightly outside the reported federal states according to GADM. However, manual inspection revealed that the GADM dataset inaccurately represents the exact state boundaries in these cases. Therefore, the original data entries are considered correct.

Method step description:

  1. In the Sampling Description section, the methods used to collect mosquito occurrences are described in detail. All collected occurrence records are stored in the CulBase database. From this database, all records of Ae. vexans were extracted for publication in this dataset.

Collection Data

Collection Name German mosquito database CulBase

Bibliographic Citations

  1. Becker, N., Petrić, D., Zgomba, M., Boase, C., Madon, M. B., Dahl, C., & Kaiser, A. (2020). Mosquitoes: Identification, ecology and control (3rd ed.). Springer. https://doi.org/10.1007/978-3-030-11623-1 https://doi.org/10.1007/978-3-030-11623-1
  2. Becker, N., Petrić, D., Zgomba, M., Boase, C., Madon, M., Dahl, C., & Kaiser, A. (2010). Mosquitoes and their control (2nd ed.). Springer. https://doi.org/10.1007/978-3-540-92874-4 https://doi.org/10.1007/978-3-540-92874-4
  3. Franklinos, L. H. V., Jones, K. E., Redding, D. W., & Abubakar, I. (2019). The effect of global change on mosquito-borne disease. The Lancet Infectious Diseases, 19(9), e302–e312. https://doi.org/10.1016/S1473-3099(19)30161-6 https://doi.org/10.1016/S1473-3099(19)30161-6
  4. Kampen, H., & Walther, D. (2018). Vector potential of mosquito species (Diptera: Culicidae) occurring in Central Europe. In G. Benelli & H. Mehlhorn (Eds.), Mosquito-borne diseases (Parasitology Research Monographs, Vol. 10). Springer. https://doi.org/10.1007/978-3-319-94075-5_5 https://doi.org/10.1007/978-3-319-94075-5_5
  5. Kampen, H., Holicki, C. M., Ziegler, U., Groschup, M. H., Tews, B. A., & Werner, D. (2020). West Nile virus mosquito vectors (Diptera: Culicidae) in Germany. Viruses, 12(5), 493. https://doi.org/10.3390/v12050493 https://doi.org/10.3390/v12050493
  6. Kerkow, A., Wieland, R., Früh, L., Kampen, H., & Walther, D. (2020). Can data from native mosquitoes support determining invasive species habitats? Modelling the climatic niche of Aedes japonicus japonicus (Diptera, Culicidae) in Germany. Parasitology Research, 119, 31–42. https://doi.org/10.1007/s00436-019-06513-5 https://doi.org/10.1007/s00436-019-06513-5
  7. Kronefeld, M., Werner, D., & Kampen, H. (2014). PCR identification and distribution of Anopheles daciae (Diptera, Culicidae) in Germany. Parasitology Research, 113, 2079–2086. https://doi.org/10.1007/s00436-014-3857-1 https://doi.org/10.1007/s00436-014-3857-1
  8. Martinet, J.-P., Ferté, H., Failloux, A.-B., Schaffner, F., & Depaquit, J. (2019). Mosquitoes of North-Western Europe as potential vectors of arboviruses: A review. Viruses, 11, 1059. https://doi.org/10.3390/v11111059 https://doi.org/10.3390/v11111059
  9. Mohrig, W. (1969). Die Culiciden Deutschlands. Anzeiger für Schädlingskunde, 42, 126–127. https://doi.org/10.1007/BF02050649 https://doi.org/10.1007/BF02050649
  10. Pernat, N., Kampen, H., Ruland, F., et al. (2021). Drivers of spatio-temporal variation in mosquito submissions to the citizen science project ‘Mückenatlas’. Scientific Reports, 11, 1356. https://doi.org/10.1038/s41598-020-80365-3 https://doi.org/10.1038/s41598-020-80365-3
  11. Pernat, N., Zscheischler, J., Kampen, H., Ostermann-Miyashita, E. F., & Jeschke, J. M. (2022). How media presence triggers participation in citizen science—The case of the mosquito monitoring project ‘Mückenatlas’. PLOS ONE, 17(2), e0262850. https://doi.org/10.1371/journal.pone.0262850 https://doi.org/10.1371/journal.pone.0262850
  12. Pothmann, P., Kampen, H., Werner, D., & Thulke, H.-H. (2025). Systematic review of variable selection bias in species distribution models for Aedes vexans (Diptera: Culicidae). Insects, 16, 1061. https://doi.org/10.3390/insects16101061 https://doi.org/10.3390/insects16101061
  13. Proft, J., Maier, W., & Kampen, H. (1999). Identification of six sibling species of the Anopheles maculipennis complex (Diptera: Culicidae) by a polymerase chain reaction assay. Parasitology Research, 85, 837–843. https://doi.org/10.1007/s004360050642 https://doi.org/10.1007/s004360050642
  14. Rudolf, M., Czajka, C., Börstler, J., Melaun, C., Jöst, H., et al. (2013). First nationwide surveillance of Culex pipiens complex and Culex torrentium mosquitoes demonstrated the presence of Culex pipiens biotype pipiens/molestus hybrids in Germany. PLOS ONE, 8(9), e71832. https://doi.org/10.1371/journal.pone.0071832 https://doi.org/10.1371/journal.pone.0071832
  15. Schaffner, F., Angel, G., Geoffroy, B., Hervy, J.-P., Rhaiem, A., & Brunhes, J. (2001). The mosquitoes of Europe: An identification and training programme. IRD Editions & EID Méditerranée.
  16. Walther, D., & Kampen, H. (2017). The citizen science project ‘Mueckenatlas’ helps monitor the distribution and spread of invasive mosquito species in Germany. Journal of Medical Entomology, 54(6), 1790–1794. https://doi.org/10.1093/jme/tjx166 https://doi.org/10.1093/jme/tjx166
  17. Werner, D., Kowalczyk, S., & Kampen, H. (2020). Nine years of mosquito monitoring in Germany, 2011–2019, with an updated inventory of German culicid species. Parasitology Research, 119, 2765–2774. https://doi.org/10.1007/s00436-020-06775-4 https://doi.org/10.1007/s00436-020-06775-4
  18. Wieland, R., Kerkow, A., Früh, L., Kampen, H., & Walther, D. (2017). Automated feature selection for a machine learning approach toward modeling a mosquito distribution. Ecological Modelling, 352, 108–112. https://doi.org/10.1016/j.ecolmodel.2017.02.029 https://doi.org/10.1016/j.ecolmodel.2017.02.029
  19. Wieland, R., Kuhls, K., Lentz, H. H. K., Conraths, F., Kampen, H., & Werner, D. (2021). Combined climate and regional mosquito habitat model based on machine learning. Ecological Modelling, 452, 109594. https://doi.org/10.1016/j.ecolmodel.2021.109594 https://doi.org/10.1016/j.ecolmodel.2021.109594
  20. Kampen, H., & Walther, D. (2018). Vector potential of mosquito species (Diptera: Culicidae) occurring in Central Europe. In G. Benelli & H. Mehlhorn (Eds.), Mosquito-borne diseases: Implications for public health (Parasitology Research Monographs, pp. 41–68). Springer. https://doi.org/10.1007/978-3-319-94075-5_5 https://doi.org/10.1007/978-3-319-94075-5_5
  21. Folmer, O., Black, M., Hoeh, W., Lutz, R., & Vrijenhoek, R. (1994). DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Molecular Marine Biology and Biotechnology, 3(5), 294–299.

Additional Metadata

The passive monitoring citizen science initiative is available at: www.mueckenatlas.com. There is no external resource for the active monitoring.

Introduction

Mosquitoes are of major public and animal health relevance, as they may act as nuisance pests and vectors of a range of pathogens (Becker et al. 2020). Changes in climate, land use, and global connectivity have facilitated the spread and establishment of both native and invasive mosquito species across Europe, including Germany (Walther & Kampen 2017, Franklinos et al. 2019). Spatially extensive long-term monitoring is therefore essential to understand mosquito distribution patterns, assess establishment risks, and support vector surveillance and management strategies.

In Germany, nationwide mosquito monitoring has been conducted since 2011 through a combination of passive and active approaches. Collections were carried within the administrative boundaries of Germany, but sampling was irregular and opportunistic, depending on the type of monitoring. Active expert monitoring was constrained by access, personnel, and financial resources, while passive monitoring relied on random observations, resulting in uneven spatial coverage. Passive monitoring constituted of physical submission of adult mosquito specimens and was realized through the citizen science project “Mückenatlas”, which builds on broad public participation in mosquito surveillance with high spatial coverage (Walther & Kampen 2017). Active monitoring complemented the passive approach through targeted expert-based sampling of adults and aquatic developmental stages using standardized entomological methods.The dataset presented here includes 6422 presence-only occurrence records of Ae. vexans, one of the most widespread and abundant mosquito species in Germany. Although native to Europe, it is of particular interest due to mass occurrence events, its floodplain-associated ecology, and its potential role as a vector of pathogens (Kampen & Walther 2018, Martinet et al. 2019, Becker et al. 2020). Understanding the spatial distribution is also important for modelling habitat suitability of Ae. vexans (Pothmann et al. 2025). However, as of 11 February 2026, only 53 occurrence records from Germany were registered in the Global Biodiversity Information Facility (GBIF), highlighting the limited availability of standardized data for this species.

The presented occurrence data has already been used in peer-reviewed studies addressing mosquito distribution modelling, habitat suitability, and vector ecology. Previous work used the data for machine learning and mechanistic models to support habitat description of the invasive species Ae. japonicus (Kerkow et al. 2020), to develop combined climate-habitat mosquito models (Wieland et al. 2021), and to evaluate automated feature selection for mosquito distribution modelling (Wieland et al. 2017). In addition, subsets of the data have contributed to studies on West Nile virus vectors in Germany (Kampen et al. 2020) and to a recent inventory of the German mosquito fauna (Werner et al. 2020).Beyond species-specific applications, the “Mückenatlas” data have been analyzed to assess structural and behavioural biases inherent to opportunistic citizen science datasets. The dataset presented here represents a subset of the broader “Mückenatlas” data. Pernat et al. (2021) investigated temporal, spatial, and environmental drivers of submission patterns in the “Mückenatlas”, demonstrating that submission numbers are strongly influenced by human population density, regional factors, and environmental conditions, while also reflecting participant behaviour rather than true mosquito abundance alone. A follow-up study by Pernat et al. (2022) further quantified the influence of mass media coverage on citizen participation, showing that both the intensity and framing of media reports substantially affect submission numbers across time and space. Although these studies considered multiple mosquito species and the “Mückenatlas” dataset as a whole, the identified biases are equally relevant for Ae. vexans occurrence records and should be considered when interpreting and modelling the data presented here.

Alternative Identifiers c6cc34ba-cc20-44c9-b43b-7b48f20bc37b
https://ipt.pensoft.net/resource?r=aedesvexansgermany