2025

Graser, A., Georg, M., Kallmayer, J., Marten, A., Pertl, C., Rumpf, H., Senf, C. and Kamp, J. (2025) Large-scale forest disturbance and associated management shape bird communities in Central European spruce forests. Journal of Applied Ecology. http://doi.org/10.1111/1365-2664.14849 

Assmann J. J., Pedersen, P. B., M., Moeslund, J. E., Senf, C., Treier, U. A., Corcoran, D., Koma, Z., Nord-Larsen, T., Normand, S. (in press) LiDAR data fusion and machine learning identify temperate forests of high conservation value. Conservation Science and Practice

Senf, C., Esquivel-Muelbert, A., Pugh, T. A. M. & the International Tree Mortality Network, consisting of more than 100 coauthors from around the world (in press) Towards a global understanding of tree mortality. New Phytologist.

2024

Richter. T, Geres, L., Braziunas, K. H., Seidl, R., Senf, C., Bässler, C., Müller, J., Thom, D. & Sebastian Seibold, S. (2024) Testing the altitudinal-niche-breadth hypothesis – implications for biodiversity along forest succession. Communications Biology, 7, 1518. https://doi.org/10.1038/s42003-024-07239-6 

Acil, N., Sadler, J. P, Senf, C., Suvanto, S., Pugh, T. A. M. (2024) Global Patterns in Forest Disturbances. Nature Sustainability. https://doi.org/10.1038/s41893-024-01450-3 

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 

Große-Stoltenberg, A., Hanzl, A., Safaei, M. & Kleinebecker, T. (2024) Once Common, Long in Decline: Dynamics of Traditional Orchards in a Central European Landscape. Land, 13, 1639. https://doi.org/10.3390/land13101639 

Stritih, A., Senf, C., Marsone, T. and Seidl, C. (2024) Mapping the natural disturbance risk to protective forests across the European Alps. Journal of Environmental Management, 366, 121659. https://doi.org/10.1016/j.jenvman.2024.121659 

Seibold, S., Richter, T., Geres, L., Seidl, R., Mitesser, O., Senf, C. and Müller, J. (2024) Deep learning and Airborne Laser scanning identify vegetation density and its interaction with elevation as main driver of bird diversity and community composition. Diversity and Distribution, e13905. https://doi.org/10.1111/ddi.13905 

Seidl, R. and Senf, C. (2024) Changes in human and natural disturbances are linked in Europe’s forests. Nature Communications, 15, 4741. https://doi.org/10.1038/s41467-024-49116-0

Stritih, A., Senf, C., Kuemmerle, T., Munteanu, C., Dzadzamia, L., Stritih, J., Matijašić, D., Cortner, O., and Seidl, R. (2024) Same, but different: similar states of forest structure in temperate mountain regions of Europe despite different human-natural disturbance regimes. Landscape Ecology, 39, 114. https://doi.org/10.1007/s10980-024-01908-x

Mandl, L., Viana-Soto, A., Seidl, R., Stritih, A. & Senf, C. (2024) Unmixing-based forest recovery indicators for predicting long-term recovery success. Remote Sensing of Environment, 398, 114194. https://doi.org/10.1016/j.rse.2024.114194 

Kowalski, K., Senf, C., Okujeni, A., and Hostert, P. (2024) Large-scale remote sensing analysis reveals an increasing coupling of grassland vitality to atmospheric water demand. Global Change Biology, 30(5), e17315. https://doi.org/10.1111/gcb.17315 

Krueger, K., Senf, C., Jucker, T., Pflugmacher, D. & Seidl, R. (2024) Gap expansion is the dominant driver of canopy openings in a temperate mountain forest landscape. Journal of Ecology. https://doi.org/10.1111/1365-2745.14320 

Bathiany, S., Bastiaansen, R., Bastos, A., Blaschke, L., Lever, J., Loriani, S., De Keersmaecker, W., Dorigo, W., Milenkovic, M., Senf, C., Smith, T., Verbesselt, J. & Boers, N. (2024) Ecosystem resilience monitoring and early warning using EO data: challenges and outlook. Surveys in Geophysics. https://doi.org/10.1007/s10712-024-09833-z 

Lecina-Diaz, J., Senf, C., Grünig, M. & Seidl, R. (2024) Ecosystem services at risk from disturbance in Europe’s forests. Global Change Biology, 30(3), e17242. https://doi.org/10.1111/gcb.17242

Braziunas, K. H., Geres, L., Richter, T., Glasmann, F., Senf, C., Thom, D., Seibold, S., and Seidl, R. (2024) Projected climate and canopy change lead to thermophilization and homogenization of forest floor vegetation in a hotspot of plant species richness. Global Change Biology 30(1), e17121. https://doi.org/10.1111/gcb.17121

2023

Goodbody T.R.H., Nicholas N.C., Senf, C., Seidl, R. (2023) Airborne Laser Scanning to Optimize the Sampling Efficiency of a Forest Management Inventory in South-Eastern Germany. Ecological Indicators, 157, 111281. https://doi.org/10.1016/j.ecolind.2023.111281

Maroschek, M., Seidl, R., Poschlod, B., Senf, C. (2023) Quantifying patch size distributions of natural forest disturbances across the European Alps. Journal of Biogeography. https://doi.org/10.1111/jbi.14760

Glasmann, F., Senf, C. Seidl, R., and Annighöfer, P. (2023) Mapping subcanopy forest light regimes from Airborne Laser Scanning, Sentinel-2 and Sentinel-2. Science of Remote Sensing, 8, 100107. https://doi.org/10.1016/j.srs.2023.100107 

Pugh, T. A. M., Seidl, R., Liu, D., Lindeskog, M., Chini, L., P. & Senf, C. (2023). The anthropogenic imprint on temperate and boreal forest demography and carbon turnover. Global Ecology and Biogeography, 33(1), 100-115. http://doi.org/10.1111/geb.13773

Turubanova, S., Potapov, P., Hansen, M. C., Li, X., Tyukavina, A., Pickens, A., Hernandez-Serna, A., Arranz, A. P., Guerra-Hernandez, J., Senf, C., Häme, T., Valbuena, R., Eklundh, L., Brovkina, O., Navrátilová, B., Novotný, J., Harris, N., Stolle, F. (2023) Tree canopy extent and height change in Europe, 2001-2021, quantified using Landsat data archive. Remote Sensing of Environment, 298, 113797. https://doi.org/10.1016/j.rse.2023.113797

Vandewiele, M., Geres, L., Lotz, A., Mandl, L., Richter, T., Seibold, S., Seidl, R., Senf, C. (2023) Mapping spatial microclimate patterns in mountain forests from LiDAR. Agricultural and Forest Meteorology, 341, 109662. https://doi.org/10.1016/j.agrformet.2023.109662

Reiner, R., Seidl, R., Seibold, S., Senf, C. (2023) Forest disturbances increase the fitness of two contrasting ungulates. Journal of Applied Ecology 60(10), 2177-2187. https://doi.org/10.1111/1365-2664.14481

Hermann, M., Rothlisberger, M., Gessler, A., Rigling, A., Senf, C., Wohlgemuth, T., and Wernli, H. (2023) Analysis of multi-seasonal meteorological storylines leading to reduced forest greenness in Europe in 2000-2020. Biogeosciences, 20, 1155-1180. https://doi.org/10.5194/bg-20-1155-2023

Mandl, L., Stritih, A., Seidl, R., Ginzler, C., and Senf, C. (2023) Spaceborne LiDAR for characterizing mountain forest structure across scales. Remote Sensing in Ecology and Conservation 9(5), 599-614.https://doi.org/10.1002/rse2.330

Stritih, A., Seidl, R. and Senf, C. (2023) Alternative stable states in the structure of mountain forests across the Alps. Landscape Ecology, 38, 933–947. https://doi.org/10.1007/s10980-023-01597-y

2022

Grünig, M., Seidl, R. and Senf, C. (2022) Increasing aridity causes larger and more severe forest fires across Europe. Global Change Biology 29(6), 1648-1659. https://doi.org/10.1111/gcb.16547

Senf, C. (2022) Seeing the system from above – The use and potential of remote sensing for studying ecosystem dynamics. Ecosystems, 25, 1719–1737. https://doi.org/10.1007/s10021-022-00777-2

Matsala, M., Senf, C., Bilous, A., Diachuk, P., Zadorozhniuk, R., Burianchuk, M. and Seidl, R. (2022) The impact of radioactive contamination on tree regeneration and forest development in the Chernobyl Exclusion Zone. Applied Vegetation Science, 25, e12631. https://doi.org/10.1111/avsc.12631

Senf, C. and Seidl, R. (2022) Post-disturbance canopy recovery and the resilience of Europe’s forests. Global Ecology and Biogeography, 31(1), 25-36. https://doi.org/10.1111/geb.13406

2021

Senf, C. and Seidl, R. (2021) Persistent impacts of the 2018 drought on forest disturbance regimes in Europe. Biogeosciences, 18(18), 5223–5230. https://doi.org/10.5194/bg-18-5223-2021

Munteanu, C., Senf, C., Nita, M. D., Sabatini, F. M., Oeser, J., Seidl, R., Kuemmerle, T. (2021) Identifying Romania’s high conservation value forests with historical spy satellites and modern remote sensing 36(2), e13820. Conservation Biology. https://doi.org/10.1111/cobi.13820

Sebald, J., Senf, C. and Seidl, R. (2021) Human or natural? Landscape context improves the attribution of forest disturbances mapped from Landsat in Central Europe. Remote Sensing of Environment. 262, 112502. https://doi.org/10.1016/j.rse.2021.112502

Senf, C. and Seidl, R. (2021) Storm and fire disturbance in Europe: Distribution and trends. Global Change Biology, 27(15), 3605-3619. https://doi.org/10.1111/gcb.15679

Senf, C., Sebald, J., and Seidl, R. (2021) Increasing canopy mortality affects the future demographic structure of Europe's forests. One Earth, 4, 1-7. https://doi.org/10.1016/j.oneear.2021.04.008

Palahí, M., Valbuena, R., Senf, C., Acil N., Pugh T. A. M., Sadler J., Seidl R., Potapov P., Gardiner B., Hetemäki L., Chirici G., Francini S., Hlásny T., Lerink B. J. W., Olsson H., Olabarria J. R. G., Ascoli D., Asikainen A., Bauhus J., Berndes G., Donis J., Fridman J., Hanewinkel M., Jactel H., Lindner M., Marchetti M., Marušák R., Sheil D., Tomé M., Trasobares A., Verkerk P. J., Korhonen M. and Nabuurs  G.J. (2021) Concerns about reported harvested area and biomass loss in European forests. Nature, 592, 7856, E15-17. https://doi.org/10.1038/s41586-021-03292-x

Suzuki, K. F., Kobayashu, Y., Seidl, R., Senf, C., Tatsumi, S., Koide, D., Azuma, W., Higa, M., Koyanagi, T. F., Qian, S., Kusano, Y., Matsubayashi, R., and Mori, A.S. (2021) The potential role of an alien tree species in supporting forest restoration: Lessons from Shiretoko National Park, Japan. Forest Ecology and Management, 493, 119253. https://doi.org/10.1016/j.foreco.2021.119253

Stritih, A., Senf, C., Seidl, R., Grêt-Regamey, A. and Bebi, P. (2021) The impact of land-use legacies and recent management on natural disturbance susceptibility in mountain forests. Forest Ecology and Management, 484, 118950. https://doi.org/10.1016/j.foreco.2021.118950

Jung, H., Senf, C., Beudert, B., and Krueger, T. (2021) Bayesian hierarchical modelling of nitrate concentration in a forest stream affected by large-scale forest dieback. Water Resources Research, 57(2), e2020WR027264. https://doi.org/10.1029/2020WR027264

Oeser, J., Heurich, M., Senf, C., Pflugmacher, D., and Kuemmerle, T. (2021) Satellite-based habitat monitoring reveals long-term dynamics of deer habitat in response to forest disturbances. Ecological Applications, 31(3), e2269. https://doi.org/10.1002/eap.2269

Senf, C. and Seidl, R. (2021) Mapping the forest disturbance regimes of Europe. Nature Sustainability, 4, 63-70. https://doi.org/10.1038/s41893-020-00609-y

2020

Senf, C., Buras, A., Zang, C. S., Rammig, A., and Seidl. R. (2020) Excess forest mortality is consistently linked to drought across Europe. Nature Communications, 11, 6200. https://doi.org/10.1038/s41467-020-19924-1

Senf, C., Mori, A., Müller, J. and Seidl. R. (2020) The response of canopy height diversity to natural disturbances in two temperate forest landscapes. Landscape Ecology, 35, 2101-2112. https://doi.org/10.1007/s10980-020-01085-7

Kowalski, K., Senf, C., Hostert, P. and Pflugmacher, D. (2020) Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series. International Journal of Applied Earth Observations and Geoinformation, 92, 102172. https://doi.org/10.1016/j.jag.2020.102172

Jung, H., Senf, C., Jordan, P., and Krueger, T. (2020) Benchmarking inference methods for water quality monitoring and status classification. Environmental Monitoring and Assessment, 192, 261. https://doi.org/10.1007/s10661-020-8223-4

Seidl, R., Honkaniemi, J., Aakala, T., Aleinikov, A., Angelstam, P., Bouchard, M., Boucher, D., Boulanger, Y., Burton, P. J., De Grandpré, L., Gauthier, S., Hansen, W. D., Jespen, J. U., Jõgiste, K., Kneeshaw, D. D., Kuuluvainenm, T., Lisitsyna, O., Makoto, K., Mori, A. S., Pureswaran, D. S., Shorohova, E., Shubnitsina, E., Taylor, A. R., Vladimirova, N., Voode, F., Senf, C. (2020) Globally consistent climate sensitivity of natural disturbances across boreal and temperate forest ecosystems. Ecography. 43, 967-978. https://doi.org/https://doi.org/10.1111/ecog.04995

Senf, C., Laštovička, J., Okujeni, A., Heurich, M., and van der Linden, S. (2020) A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data. Remote Sensing of Environment, 240, 111691. https://doi.org/10.1016/j.rse.2020.111691

2019

Senf, C., Müller, J., and Seidl, R. (2019) Post-disturbance recovery of forest cover and tree height differ with management in Central Europe. Landscape Ecology. 34, 2837-2850. https://doi.org/10.1007/s10980-019-00921-9

Sebald, J., Senf, C., Heiser, M., Scheidl, C., Pflugmacher, D., and Seidl, R. (2019) The effects of forest cover and disturbance on torrential hazards: Large-scale evidence from the Eastern Alps. Environmental Research Letters, 14(11), 114032. https://doi.org/10.1088/1748-9326/ab4937

Oeser, J., Heurich, M., Senf, C., Pflugmacher, D., Belotti, E., and Kuemmerle, T. (2019) Habitat metrics based on multi-temporal Landsat imagery for mapping large mammal habitat. Remote Sensing in Ecology and Conservation.https://doi.org/10.1002/rse2.122

Lebek, E. K., Senf, C., Frantz, D., Monteiro, J. A. F., and Krueger, T. (2019) Interdependent effects of climate variability and forest cover change on streamflow dynamics: a case study in the Upper Umvoti River Basin, South Africa. Regional Environmental Change, 19(7), 1963-1971. https://doi.org/10.1007/s10113-019-01521-8

2018

Senf, C., Pflugmacher, D., Zhiqiang, Y., Sebald, J., Knorrn, J., Neumann, M., Hostert, P. and Seidl, R. (2018) Canopy mortality has doubled across Europe’s temperate forests in the last three decades. Nature Communications, 9, 4978. https://doi.org/10.1038/s41467-018-07539-6

Sommerfeld, A.^†, Senf, C.^†, Buma, B., D'Amato, A. W., Després, T., Díaz-Hormazábal, I., Fraver, S., Frelich, L. E., Gutiérrez, Á. G., Hart, S. J., Harvey, B. J., He, H. S., Hlásny, T., Holz, A., Kitzberger, T., Kulakowski, D., Lindenmayer, D., Mori, A. S., Müller, J., Paritsis, J., Perry, G., Stephens, S., Svoboda, M., Turner, M. G., Veblen, T. T., and Seidl, R. (2018) Patterns and drivers of recent disturbances across the temperate forest biome. ^†Both authors contributed equally. Nature Communications, 9, 4355. https://doi.org/10.1038/s41467-018-06788-9

Senf, C. and Seidl R. (2018) Natural disturbances are spatially diverse but temporally synchronized across temperate forest landscapes in Europe. Global Change Biology, 24(3), 1201-1211. https://doi.org/10.1111/gcb.13897

2017

Senf, C., Pflugmacher, D., Hostert, P. and Seidl, R. (2017) Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 453-463. https://doi.org/10.1016/j.isprsjprs.2017.07.004

Oeser, J., Pflugmacher, D., Senf, C., Heurich, M. and Hostert, P. (2017) Using intra-annual Landsat time series for attributing forest disturbance agents in Central Europe. Forests, 8, 251. https://doi.org/10.3390/f8070251

Senf, C., Seidl, R. and Hostert, P. (2017) Remote sensing of forest insect disturbances: current state and future directions. International Journal of Applied Earth Observation and Geo-information, 60, 49-60. https://doi.org/10.1016/j.jag.2017.04.004

Senf, C., Pflugmacher, D., Heurich, M. and Krueger T. (2017) A Bayesian hierarchical model for estimating spatial and temporal variation in vegetation phenology from Landsat time series. Remote Sensing of Environment, 194, 155-160. https://doi.org/10.1016/j.rse.2017.03.020

Leitão, J. P., Schwieder, M. and Senf, C. (2017) sgdm: an R package for performing sparse generalized dissimilarity modelling, including tools for gdm. ISPRS International Journal of Geo-Information, 6(1), 23-35. https://doi.org/10.3390/ijgi6010023

Senf, C., Campbell, E., Wulder, M. A., Pflugmacher, D. and Hostert P. (2017) A multi-scale analysis of western spruce budworm spatiotemporal outbreak patterns. Landscape Ecology, 32(3), 501-514. https://doi.org/10.1007/s10980-016-0460-0

Kehoe, L., Senf, C., Meyer, C., Gerstner, K., Kreft, H. and Kuemmerle, T. (2017) Land cover and land-use intensity rival biomes in predicting global species richness. Ecography, 40, 1118-1128. https://doi.org/10.1111/ecog.02508

2016

Senf, C., Wulder, M. A., Campbell, E. and Hostert P. (2016) Using Landsat to assess the relationship between spatiotemporal patterns of western spruce budworm outbreaks and regional-scale weather variability. Canadian Journal of Remote Sensing, 42(6), 706-718. https://doi.org/10.1080/07038992.2016.1220828

2015

Senf, C., Pflugmacher, D., Wulder, M. A. and Hostert, P. (2015) Characterizing spectral-temporal patterns of defoliator and bark beetle disturbances using Landsat time series. Remote Sensing of Environment, 170, 166-177. https://doi.org/10.1016/j.rse.2015.09.019

Held, M., Rabe, A., Senf, C., van der Linden, S. and Hostert, P. (2015) Analyzing Hyperspectral and Hypertemporal Data by Decoupling Feature Redundancy and Feature Relevance. IEEE Geoscience and Remote Sensing Letters, 12(5), 983-987. https://doi.org/ 10.1109/LGRS.2014.2371242

Senf, C., Leitão, J.P., Pflugmacher, D., van der Linden, S. and Hostert, P. (2015) Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery. Remote Sensing of Environment, 156, 527-536. https://doi.org/10.1016/j.rse.2014.10.018

2014

Schwieder, M., Leitão, J.P., Suess, S., Senf, C. and Hostert, P. (2014) Estimating fractional shrub cover using simulated EnMAP data: A comparison of three machine learning regression techniques. Remote Sensing, 6(4), 3427-3445. https://doi.org/10.3390/rs6043427

2013

Senf, C., Pflugmacher, D., van der Linden, S. and Hostert, P. (2013) Mapping Rubber Plantations and Natural Forests in Xishuangbanna (Southwest China) Using Multi-Spectral Phenological Metrics from MODIS Time Series. Remote Sensing, 5(6), 2795-2812. https://doi.org/10.3390/rs5062795