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Publications and conference contributions from the Nature 4.0 project

The people of the Nature 4.0 project
Nature 4.0

Peer-reviewed journals


Zeuss, D., Bald, L., Gottwald, J., Becker, M., Bellafkir, H., Bendix, J., Bengel, P., Beumer, L., Brandl, R., Brändle, M., Dahlke, S., Farwig, N., Freisleben, B., Friess, N., Heidrich, L., Heuer, S., Höchst, J., Holzmann, H., Lampe, P., Leberecht, M., Lindner, K., Masello, J., Mielke Möglich, J., Mühling, M., Müller, T., Noskov, A., Opgenoorth, L., Peter, C., Quillfeldt, P., Rösner, S., Royauté, R., Runge, C., Schabo, D., Schneider, D., Seeger, B., Shayle, E., Steinmetz, R., Tafo, P., Vogelbacher, M., Wöllauer, S., Younis, S., Zobel, J. & Nauss, T. (2023). Nature 4.0: A networked sensor system for integrated biodiversity monitoring. Global Change Biology .

Bald, L., Gottwald, J. & Zeuss, D. (2023). spatialMaxent: Adapting species distribution modeling to spatial data. Ecology and Evolution, 13(10), e10635.

Bengel, P. T. & Peter, C. (2023). Technology in Nature—mDGBL as a Successful Approach to Promote Complex Contents?. Sustainability, 15(1), 633.

Masello, J. F., Rast, W., Schumm, Y. R., Metzger, B. & Quillfeldt, P. (2023). Year-round behavioural time budgets of common woodpigeons inferred from acceleration data using machine learning. Behavioral Ecology and Sociobiology, 77(4), 40.

Mielke Möglich, J., Lampe, P., Fickus, M., Younis, S., Gottwald, J., Nauss, T., Brandl, R., Brändle, M., Friess, N., Freisleben, B. & Heidrich, L. (2023). Towards reliable estimates of abundance trends using automated non‐lethal moth traps. Insect Conservation and Diversity, 16(5), 539-549.

Noskov, A., Achilles, S. & Bendix, J. (2023). Toward forest dynamics’ systematic knowledge: concept study of a multi-sensor visually tracked rover including a new insect radar for high-accuracy robotic monitoring. Frontiers in Ecology and Evolution, 11.


Asgharinia, S., Leberecht, M., Belelli Marchesini, L., Friess, N., Gianelle, D., Nauss, T., Opgenoorth, L., Yates, J. & Valentini, R. (2022). Towards Continuous Stem Water Content and Sap Flux Density Monitoring: IoT-Based Solution for Detecting Changes in Stem Water Dynamics. Forests, 13(7), 1040.

Bellafkir, H., Vogelbacher, M., Gottwald, J., Mühling, M., Korfhage, N., Lampe, P., Frieß, N., Nauss, T. & Freisleben, B. (2022). Bat Echolocation Call Detection and Species Recognition by Transformers with Self-attention. In: Bennour, A., Ensari, T., Kessentini, Y. & Eom, S. (Eds.), Intelligent Systems and Pattern Recognition (pp. 189-203).

Dahlke, S., Heuer, S., Holzmann, H. & Tafo, P. (2022). Statistically Optimal Estimation of Signals in Modulation Spaces Using Gabor Frames. IEEE Transactions on Information Theory, 68(6), 4182-4200.

Engelhardt, E. K., Biber, M. F., Dolek, M., Fartmann, T., Hochkirch, A., Leidinger, J., Löffler, F., Pinkert, S., Poniatowski, D., Voith, J., Winterholler, M., Zeuss, D., Bowler, D. E. & Hof, C. (2022). Consistent signals of a warming climate in occupancy changes of three insect taxa over 40 years in central Europe. Global Change Biology, 28(13), 3998-4012.

Gottwald, J., Royauté, R., Becker, M., Geitz, T., Höchst, J., Lampe, P., Leister, L., Lindner, K., Maier, J., Rösner, S., Schabo, D. G., Freisleben, B., Brandl, R., Müller, T., Farwig, N. & Nauss, T. (2022). Classifying the activity states of small vertebrates using automated VHF telemetry. Methods in Ecology and Evolution, 14(1), 252-264.

Höchst, J., Bellafkir, H., Lampe, P., Vogelbacher, M., Mühling, M., Schneider, D., Lindner, K., Rösner, S., Schabo, D. G., Farwig, N. & Freisleben, B. (2022). Bird@Edge: Bird Species Recognition at the Edge. In: Koulali, M.-A. & Mezini, M. (Eds.), Networked Systems (pp. 69-86).

Sommer, M., Höchst, J., Sterz, A., Penning, A. & Freisleben, B. (2022). ProgDTN: Programmable Disruption-Tolerant Networking. In: Koulali, M.-A. & Mezini, M. (Eds.), Networked Systems (pp. 184-200).


Gottwald, J., Lampe, P., Höchst, J., Friess, N., Maier, J., Leister, L., Neumann, B., Richter, T., Freisleben, B. & Nauss, T. (2021). BatRack: An open‐source multi‐sensor device for wildlife research. Methods in Ecology and Evolution, 12(10), 1867-1874.

Masello, J. F., Barbosa, A., Kato, A., Mattern, T., Medeiros, R., Stockdale, J. E., Kümmel, M. N., Bustamante, P., Belliure, J., Benzal, J., Colominas-Ciuró, R., Menéndez-Blázquez, J., Griep, S., Goesmann, A., Symondson, W. O. C. & Quillfeldt, P. (2021). How animals distribute themselves in space: energy landscapes of Antarctic avian predators. Movement Ecology, 9(1), 24.

Neuwirth, B., Rabbel, I., Bendix, J., Bogena, H. R. & Thies, B. (2021). The European Heat Wave 2018: The Dendroecological Response of Oak and Spruce in Western Germany. Forests, 12(3), 283.

Noskov, A., Achilles, S. & Bendix, J. (2021). Presence and Biomass Information Extraction from Highly Uncertain Data of an Experimental Low-Range Insect Radar Setup. Diversity, 13(9), 452.

Noskov, A., Bendix, J. & Friess, N. (2021). A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques. Sensors, 21(4), 1474.

Schumm, Y. R., Bakaloudis, D., Barboutis, C., Cecere, J. G., Eraud, C., Fischer, D., Hering, J., Hillerich, K., Lormée, H., Mader, V., Masello, J. F., Metzger, B., Rocha, G., Spina, F. & Quillfeldt, P. (2021). Prevalence and genetic diversity of avian haemosporidian parasites in wild bird species of the order Columbiformes. Parasitology Research, 120(4), 1405-1420.

Wöllauer, S., Zeuss, D., Hänsel, F. & Nauss, T. (2021). TubeDB: An on-demand processing database system for climate station data. Computers & Geosciences, 146, 104641.


Egli, S. & Höpke, M. (2020). CNN-Based Tree Species Classification Using High Resolution RGB Image Data from Automated UAV Observations. Remote Sensing, 12(23), 3892.

Ludwig, M., M. Runge, C., Friess, N., Koch, T. L., Richter, S., Seyfried, S., Wraase, L., Lobo, A., Sebastià, M.-T., Reudenbach, C. & Nauss, T. (2020). Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics. Remote Sensing, 12(22), 3831.

Wöllauer, S., Zeuss, D., Magdon, P. & Nauss, T. (2020). RSDB: an easy to deploy open‐source web platform for remote sensing raster and point cloud data management, exploration and processing. Ecography, 44(3), 414-426.


Friess, N., Bendix, J., Brändle, M., Brandl, R., Dahlke, S., Farwig, N., Freisleben, B., Holzmann, H., Meyer, H., Müller, T., Opgenoorth, L., Peter, C., Quillfeldt, P., Reudenbach, C., Seeger, B., Steinmetz, R. & Nauss, T. (2019). Introducing Nature 4.0: A sensor network for environmental monitoring in the Marburg Open Forest. Biodiversity Information Science and Standards, 3, e36389.

González-Jaramillo, V., Fries, A. & Bendix, J. (2019). AGB Estimation in a Tropical Mountain Forest (TMF) by Means of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV). Remote Sensing, 11(12), 1413.

Gottwald, J., Zeidler, R., Friess, N., Ludwig, M., Reudenbach, C. & Nauss, T. (2019). Introduction of an automatic and open‐source radio‐tracking system for small animals. Methods in Ecology and Evolution, 10(12), 2163-2172.

Meyer, H., Reudenbach, C., Wöllauer, S. & Nauss, T. (2019). Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction. Ecological Modelling, 411, 108815.

Penning, A., Baumgärtner, L., Höchst, J., Sterz, A., Mezini, M. & Freisleben, B. (2019). DTN7: An Open-Source Disruption-Tolerant Networking Implementation of Bundle Protocol 7. In: Palattella, M. R., Scanzio, S. & Coleri Ergen, S. (Eds.), Ad-Hoc, Mobile, and Wireless Networks (pp. 196-209).

Conference presentations


Beilschmidt, C., Drönner, J., Mattig, M., Schweitzer, P. & Seeger, B. (2023). Geo Engine: Workflow-backed Geo Data Portals. In: BTW 2023 (pp. 837-849).

Schneider, D., Lindner, K., Vogelbacher, M., Bellafkir, H., Mühling, M., Farwig, N. & Freisleben, B. (2023). Recognizing European mammals and birds in camera trap images using convolutional neural networks. 3rd International Workshop on Camera Traps, AI, and Ecology, September 2023, Jena, Germany.

Vogelbacher, M., Bellafkir, H., Gottwald, J., Schneider, D., Muhling, M. & Freisleben, B. (2023). Deep Learning for Recognizing Bat Species and Bat Behavior in Audio Recordings. 2023 10th IEEE Swiss Conference on Data Science (SDS), 22-23 June 2023, Zurich, Switzerland, 50-57.


Höchst, J., Gorrwald, J., Lampe, P., Zobel, J., Nauss, T., Steinmetz, R. & Freisleben, B. (2021). tRackIT OS: Open-source Software for Reliable VHF Wildlife Tracking. INFORMATIK 2021, Workshop: Computer Science for Biodiversity (CS4BIODiversity), 27. September - 1. October 2021, Berlin, Germany, 425-442.

Zobel, J., Frommelt, P., Lieser, P., Höchst, J., Lampe, P., Freisleben, B. & Steinmetz, R. (2021). Energy-efficient Mobile Sensor Data Offloading via WiFi using LoRa-based Connectivity Estimations. INFORMATIK 2021, Workshop: Computer Science for Biodiversity (CS4BIODiversity), 27. September - 1. October 2021, Berlin, Germany, 461-479.


Höchst, J., Baumgärtner, L., Kuntke, F., Penning, A., Sterz, A. & Freisleben, B. (2020). LoRa-based device-to-device smartphone communication for crisis scenarios. Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2020), May 2020, Blacksburg, VA, USA.

Mühling, M., Franz, J., Korfhage, N. & Freisleben, B. (2020). Bird species recognition via neural architecture search. 2020 Conference and Labs of the Evaluation Forum, 22-25 September 2020, Thessaloniki, Greece.


Baumgartner, L., Hochst, J. & Meuser, T. (2019). B-DTN7: Browser-based Disruption-tolerant Networking via Bundle Protocol 7. 2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 18-20 December 2019, Paris, France, 1-8.

Heuer, S., Tafo, P., Holzmann, H. & Dahlke, S. (2019). New Aspects in Birdsong Recognition utilizing the Gabor Transform. Proceedings of the 23rd International Congress on Acoustics, 9-13 September 2019, Aachen, Germany, 2917-2924.

Masello, J. F., Rösner, S., Schumm, Y., Ehmig, M., Lindner, K. & Quillfeldt, P. (2019). Movement ecology, energy landscapes, and the microhabitat choice of Common Woodpigeons breeding at the Marburg Open Forest. Annual Conference of the Deutsche Ornithologen-Gesellschaft, Poster presentation, 25–29 September, Marburg, Germany.

Peter, C. (2019). Nature 4.0 – Environmental education and App-based nature conservation monitoring. Annual Meeting of the American Association of Geographers, 3-7 April 2019, Washington DC, USA. Annual Meeting 2019/abstracts-gallery/19357

Rösner, S., Gottwald, J., Lindner, K., Strehmann, F., Ehmig, M., Friess, N., Nauss, T. & Farwig, N. (2019). Concurrent radio telemetry of bats and birds in an interior forest ecosystem: Habitat and space use with the help of a fixed system of VHF antennas. Annual Conference of the Deutsche Ornithologen-Gesellschaft, Poster presentation, 25–29 September, Marburg, Germany.

Rösner, S., Lindner, K., Ehmig, M., Strehmann, F., Schumm, Y., Quillfeldt, P., Farwig, N. & Masello, J. F. (2019). Competition, stress and parasite prevalence: A bird community approach in an interior forest ecosystem. Annual Conference of the Deutsche Ornithologen-Gesellschaft, Poster presentation, 25–29 September, Marburg, Germany.

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