Publications

Under Review

Besnard, S., Viana-Soto, A., Hartmann, H., Patacca, M., Heinrich, V. H. A., Kowalski, K., Santoro, M., De Keersmaecker, W., Van De Kerchove, R., Herold, M., & Senf, C. (2025). Natural disturbances increasingly affect Europe’s most mature and carbon-rich forests. Preprint at: https://doi.org/10.5194/egusphere-2025-6288

Schneider, P., Pellissier‑Tanon, A., Zhou, C., Ciais, P., Piedallu, C., Viana‑Soto, A., Lever, J., & Gessler, A. (2025). Flush to Crush: The Paradox of Favourable Springs Leading to Tree Mortality. Under review

Miguel, S., Lines, E., Tanase, M., Viana-Soto, A., Senf, C., & Ruiz-Benito, P. Unravelling the spatial and temporal variability of natural disturbances in European forests. Under review.

Kowalski, K., Viana-Soto, A., Brandt, M., Ciais, P., De Keersmaecker, W., Fensholt, R., Pugh, T. A. M., Xu, Y., Senf, C. (2025). Accelerating biomass loss from forest disturbances across Europe. Under review

Reiner, R., Senf, C., Gressmann, G., Filli, F., Viana-Soto, A., Anderwald, P. (2025). Climate change differentially affects horn growth through regional vegetation change in an alpine ungulate.

Potterf, M., Schattenberg, C., Krüger, K., Hochholzer, K., Rammer, W., Grünig, M., Braziunas, K. H., Dollinger, C., Erhardt, A., Gégout, J.-C., Geres, L., Greiner, S., Hlásny, T., Huber, A., Kerber, J., Lecina-Diaz, J., Mandl, L., Modlinger, R., Mohr, J., Müller, J., Muñoz Mazón, M., Pinto, P. E., Richter, T., Seibold, S., Senf, C., Serra-Diaz, J. M., Stritih, A., Sonnweber, V., Thom, D., Viana-Soto, A., Zou, J.-Y., & Seidl, R. (2025). Tree regeneration after unprecedented forest disturbances in Central Europe is robust but maladapted to climate change. Under review

Senf, C., Mohr J.S., Viana-Soto, A., Kowalski, K., Seidl, R., Huth, A. Nonlinear gap expansion accelerates disturbance-induced forest change. Under review

Oeser, J., Kowalczyk, R., Kuijper, D., Neumann, W., Seidl, R., Senf, C., Reiner, R., Bluhm, H., Bonnot, N. Borger, R., Borowik, T., …. Viana-Soto, A., Catanoiu, S., Kuemmerle, T. (2025). Increasing forest disturbance enhances habitat suitability for Europe’s large herbivores. Preprint at Research Square: https://doi.org/10.21203/rs.3.rs-7824896/v1

Published

[14] Viana-Soto, A., & Senf, C. (2025). Forest reburns are integral to southern Europe’s disturbance regimes. (Accepted December 2025 – proof print stage). Preprint at Research Square: https://doi.org/10.21203/rs.3.rs-6937064/v1.

[13] Espelta, J.M., Viana-Soto, A., Molowny-Horas, R., de Caceres, M., Selwyn, M., Banqué, M., Brotons, Ll., Lloret, F., Martínez-Vilalta, J., Piqué, M., Senf, C. (2025). Natura 2000 and non-protected forests differ on harvesting extent but not on wildfires and drought-driven decay: A long-term comparison (1985-2023). (Accepted December 2025 – proof print stage).

[12] Viana-Soto, A. & Senf, C. (2025). The European Forest Disturbance Atlas: a forest disturbance monitoring system using the Landsat archive. Earth System Science Data, https://doi.org/10.5194/essd-17-2373-2025

[11] Miguel, S., Ruiz-Benito, P., Rebollo, P., Viana-Soto, A., Mihai, M. C., García-Martín, A., & Tanase, M. (2024). Forest disturbance regimes and trends in continental Spain (1985–2023) using dense Landsat time series. Environmental Research, 262, 119802. https://doi.org/10.1016/j.envres.2024.119802

[10] Mandl, L., Viana-Soto, A., Stritih, A., Seidl, R., & Senf, C. (2024). Unmixing-based forest recovery indicators for predicting long-term recovery success. Remote Sensing of Environment308, 114194. https://doi.org/10.1016/j.rse.2024.114194

[9] Viana-Soto, A., Okujeni, A., Pflugmacher, D., García, M., Aguado, I., & Hostert, P. (2022). Quantifying post-fire shifts in woody-vegetation cover composition in Mediterranean pine forests using Landsat time series and regression-based unmixing. Remote Sensing of Environment281, 113239. https://doi.org/10.1016/j.rse.2022.113239

[8] Moreno-Fernández, D., Camarero, J. J., García, M., Lines, E., Tijerín, J., Valeriano, C., Viana-Soto, A., Zavala, M. A. & Ruíz-Benito, P. (2022) The interplay of the tree and stand-level processes mediate drought-induced forest dieback: evidence from complementary remote sensing and tree-ring approaches.  Ecosystems 25 (8), 1738-1753. https://doi.org/10.1007/s10021-022-00793-2 

[7] Viana-Soto, A., García, M., Aguado, I., & Salas, J. (2022). Assessing post-fire forest structure recovery by combining LiDAR data and Landsat time series in Mediterranean pine forests. International Journal of Applied Earth Observation and Geoinformation108, 102754. https://doi.org/10.1016/j.jag.2022.102754 

[6] Moreno-Fernández, D., Viana-Soto, A., Camarero, J. J., Zavala, M. A., Tijerín, J., & García, M. (2021). Using spectral indices as early warning signals of forest dieback: The case of drought-prone Pinus pinaster forests. Science of The Total Environment793, 148578. https://doi.org/10.1016/j.scitotenv.2021.148578   

[5] Torres, P., Rodes-Blanco, M., Viana-Soto, A., Nieto, H., & García, M. (2021). The Role of Remote Sensing for the Assessment and Monitoring of Forest Health: A Systematic Evidence Synthesis. Forests12(8), 1134.  https://doi.org/10.3390/f12081134 

[4] Viana-Soto, A., Aguado, I., Salas, J., & García, M. (2020). Identifying Post-Fire Recovery Trajectories and Driving Factors Using Landsat Time Series in Fire-Prone Mediterranean Pine Forests. Remote Sensing12(9), 1499. https://doi.org/10.3390/rs12091499 

[3] García, M., North, P., Viana-Soto, A., Stavros, N. E., Rosette, J., Martín, M. P. … & Zhao, K. (2020). Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach. Remote Sensing of Environment247, 111893. https://doi.org/10.1016/j.rse.2020.111893 

[2] Viana-Soto, A. & Pérez-Alberti, A. (2019). Periglacial deposits as indicators of paleotemperatures. A case study in the Iberian Peninsula: The mountains of Galicia. Permafrost and Periglacial Processes, 1–15. https://doi.org/10.1002/ppp.2026 

[1] Viana-Soto, A., Aguado, I. & Martínez, S. (2017). Assessment of Post-Fire Vegetation Recovery Using Fire Severity and Geographical Data in the Mediterranean Region (Spain). Environments4, 90. https://doi.org/10.3390/environments4040090