Hauptinhalt

Publikationen und Konferenzbeiträge aus dem Natur 4.0 Projekt

Peer-reviewed journals

2024

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. (2024). Nature 4.0: A networked sensor system for integrated biodiversity monitoring. Global Change Biology . https://doi.org/10.1111/GCB.17056

Schumm, Y.R., Lederer-Ponzer, N., Masello, J.F., Quillfeldt, P., (2024) High prevalence of haemosporidian parasites in Eurasian jays. Parasitol Res 123, 182 (2024). https://doi.org/10.1007/s00436-024-08170-9

2023

Bald, L., Gottwald, J. & Zeuss, D. (2023). spatialMaxent: Adapting species distribution modeling to spatial data. Ecology and Evolution, 13(10), e10635. https://doi.org/10.1002/ece3.10635

Bengel, P. T. & Peter, C. (2023). Technology in Nature—mDGBL as a Successful Approach to Promote Complex Contents?. Sustainability, 15(1), 633. https://doi.org/10.3390/su15010633

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. https://doi.org/10.1007/s00265-023-03306-w

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. https://doi.org/10.1111/icad.12662

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. https://doi.org/10.3389/fevo.2023.1214419

2022

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. https://doi.org/10.3390/f13071040

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). https://doi.org/10.1007/978-3-031-08277-1_16

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. https://doi.org/10.1109/tit.2022.3152734

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. https://doi.org/10.1111/gcb.16200

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. https://doi.org/10.1111/2041-210x.14037

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). https://doi.org/10.1007/978-3-031-17436-0_6

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). https://doi.org/10.1007/978-3-031-17436-0_13

2021

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. https://doi.org/10.1111/2041-210x.13672

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. https://doi.org/10.1186/s40462-021-00255-9

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. https://doi.org/10.3390/f12030283

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. https://doi.org/10.3390/d13090452

Noskov, A., Bendix, J. & Friess, N. (2021). A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques. Sensors, 21(4), 1474. https://doi.org/10.3390/s21041474

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. https://doi.org/10.1007/s00436-021-07053-7

Wöllauer, S., Zeuss, D., Hänsel, F. & Nauss, T. (2021). TubeDB: An on-demand processing database system for climate station data. Computers & Geosciences, 146, 104641. https://doi.org/10.1016/j.cageo.2020.104641

2020

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. https://doi.org/10.3390/rs12233892

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. https://doi.org/10.3390/rs12223831

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. https://doi.org/10.1111/ecog.05266

2019

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. https://doi.org/10.3897/biss.3.36389

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. https://doi.org/10.3390/rs11121413

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. https://doi.org/10.1111/2041-210x.13294

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. https://doi.org/10.1016/j.ecolmodel.2019.108815

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). https://doi.org/10.1007/978-3-030-31831-4_14

Konferenzpräsentationen

2023

Beilschmidt, C., Drönner, J., Mattig, M., Schweitzer, P. & Seeger, B. (2023). Geo Engine: Workflow-backed Geo Data Portals. In: BTW 2023 (pp. 837-849). https://doi.org/10.18420/BTW2023-55

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. https://inf-cv.uni-jena.de/wordpress/wp-content/uploads/2023/09/Talk-8-Daniel-Schneider.pdf

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. https://doi.org/10.1109/sds57534.2023.00014

2021

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. https://doi.org/10.18420/INFORMATIK2021-035

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. https://doi.org/10.18420/INFORMATIK2021-037

2020

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. https://idl.iscram.org/files/jonashochst/2020/2291_JonasHochst_etal2020.pdf

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. https://ceur-ws.org/Vol-2696/paper_188.pdf

2019

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. https://doi.org/10.1109/ict-dm47966.2019.9032944

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. https://doi.org/10.18154/RWTH-CONV-238888

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. https://aag.secure-abstracts.com/AAG 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.