Dr. Markus Kautz

peer-reviewed paper:

Warlo H, Kautz M (im Review) How do global forest pests respond to increasing temperatures? – A meta-analysis.

Hofmann S, Schebeck M, Kautz M (2024) Diurnal temperature fluctuations improve predictions of developmental rates in the spruce bark beetle Ips typographus. Journal of Pest Science, im Druck.

Kautz M, Feurer J, Adler P (2024) Early detection of bark beetle (Ips typographus) infestations by remote sensing – A critical review of recent research. Forest Ecology and Management 556, 121595

Kautz M, Peter FJ, Harms L, Kammen S, Delb H (2023) Patterns, drivers and detectability of infestation symptoms following attacks by the European spruce bark beetle. Journal of Pest Science 96, 403-414

Wang S, Zhang Y, Ju W, Chen JM, Ciais P, Cescatti A, ..., Kautz M, et al. (2020) Recent global decline of CO2 fertilization effects on vegetation photosynthesis. Science 370, 1295-1300

O'Sullivan M, Smith WK, Sitch S, Friedlingstein P, Arora VK, Haverd V, ..., Kautz M, et al. (2020) Climate‐driven variability and trends in plant productivity over recent decades based on three global products. Global Biochemical Cycles 34, e2020GB006613

Pugh TAM, Rademacher T, Shafer SL, Steinkamp J, Barichivich J, Beckage B, ..., Kautz M, et al. (2020) Understanding the uncertainty in global forest carbon turnover. Biogeosciences 17, 3961-3989

Yang H, Ciais P, Santoro M, Huang Y, Li W, Wang Y, ..., Kautz M, et al. (2020) Comparison of forest above-ground biomass from dynamic global vegetation models with spatially explicit remotely sensed observation-based estimates. Global Change Biology 26, 3997-4012

Forzieri G, Miralles DG, Ciais P, Alkama R, Ryu Y, Duveiller G, ..., Kautz M, et al. (2020) Increased control of vegetation on global terrestrial energy fluxes. Nature Climate Change 10, 356-362

Kondo M, Patra PK, Sitch S, Friedlingstein P, Poulter B, Chevallier F, …,  Kautz M, et al. (2020) State of the science in reconciling top‐down and bottom‐up approaches for terrestrial CO2 budget. Global Change Biology 26, 1068-1084

Huang J, Kautz M, Trowbridge AM, Hammerbacher A, Raffa KF, Adams HD, Goodsman DW, Xu C, Meddens AJH, Kandasamy D, Gershenzon J, Seidl R, Hartmann H (2020) Tree defence and bark beetles in a drying world: carbon partitioning, functioning and modelling. New Phytologist 225, 26-36

Petr M, Vacchiano G, Thom D, Mairota P, Kautz M, Goncalves LMS, Yousefpour R, Kaloudis S, Reyer CPO (2019) Inconsistent recognition of uncertainty in studies of climate change impacts on forests. Environmental Research Letters 14, 113003

Pugh TAM, Arneth A, Kautz M, Poulter B, Smith B (2019) Important role of forest disturbances in the global biomass turnover and carbon sinks. Nature Geoscience 12, 730-735

Chen W, Zhu D, Huang C, Ciais P, Yao Y, Friedlingstein P, ..., Kautz M, et al. (2019) Negative extreme events in gross primary productivity and their drivers in China during the past three decades. Agricultural and Forest Meteorology 275, 47-58

Buermann W, Forkel M, O’Sullivan M, Sitch SS, Friedlingstein P, Haverd V, ..., Kautz M, et al. (2018) Widespread seasonal compensation effects of spring warming on plant productivity in northern ecosystems. Nature 562, 110-115

Wu D, Ciais P, Viovy N, Knapp AK, Wilcox K, Bahn M, …,  Kautz M, et al. (2018) Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites. Biogeosciences 15, 3421-3437

Forzieri G, Duveiller G, Georgievski G, Li W, Robertson E, Kautz M, Lawrence P, Garcia San Martin L, Anthoni P, Ciais P, Pongratz J, Sitch S, Wiltshire A, Arneth A, Cescatti A (2018) Evaluating the interplay between biophysical processes and leaf area changes in land surface models. Journal of Advances in Modeling Earth Systems 10, 1102-1126

Le Quéré C, Andrew RM, Friedlingstein P, Sitch S, Pongratz J, Manning AC, …,  Kautz M, et al. (2018) Global Carbon Budget 2017. Earth System Science Data 10, 405­-448

Kautz M, Anthoni P, Meddens AJH, Pugh TAM, Arneth A (2018) Simulating the recent impacts of multiple biotic disturbances on forest carbon cycling across the United States. Global Change Biology 24, 2079-2092

Hartmann H, Moura CF, Anderegg WRL, Ruehr NK, Salmon Y, Allen C, ..., Kautz M, et al. (2018) Research frontiers for improving our understanding of drought-induced tree and forest mortality. New Phytologist 218, 15-28

Seidl R, Thom D, Kautz M, Martin-Benito D, Peltoniemi M, Vacchiano G, et al. (2018) Forest disturbances under climate change. Nature Climate Change 7, 395-402

Kautz M, Meddens AJH, Hall RJ, Arneth A (2017) Biotic disturbances in Northern Hemisphere forests – a synthesis of recent data, uncertainties and implications for forest monitoring and modelling. Global Ecology and Biogeography 26, 533-552

Kautz M, Imron MA, Dworschak K, Schopf R (2016) Dispersal variability and associated population-level consequences in tree-killing bark beetles. Movement Ecology 4:9

Seidl R, Müller J, Hothorn T, Bässler C, Heurich M, Kautz M (2016) Small beetle, large-scale drivers: how regional and landscape factors affect outbreaks of the European spruce bark beetle. Journal of Applied Ecology 53, 530-540

Kautz M (2014) On correcting the time-lag bias in aerial-surveyed bark beetle infestation data. Forest Ecology and Management 326, 157-162

Kautz M, Imron MA, Schopf R (2014) Individual traits as drivers of spatial dispersal and infestation patterns in a host-bark beetle system. Ecological Modelling 273, 264-276

Hooman L, Schumann B, Kautz M, Dech S (2014) Spatial characterization of bark beetle infestations by a multidate synergy of SPOT and Landsat imagery. Environmental Monitoring and Assessment 186, 441-456

Vogt J, Kautz M, Fontalvo Herazo ML, Walther D, Diele K, Triet T, Saint-Paul U, Berger U (2013) Do canopy disturbances drive forest plantations into more natural conditions? – A case study from Can Gio Biosphere Reserve, Vietnam. Global Planet Change 110, 249-258

Kautz M, Schopf R, Ohser J (2013) The “sun-effect”: microclimatic alterations predispose forest edges to bark beetle infestations. European Journal of Forest Research 132, 453-465, erratum: 467

Kautz M, Düll J, Ohser J (2011) Spatial dependence of random sets and its application to dispersion of bark beetle infestation in a natural forest. Image Analysis & Stereology 30, 123-131 

Kautz M, Dworschak K, Gruppe A, Schopf R (2011) Quantifying spatio-temporal dispersion of bark beetle infestations in epidemic and non-epidemic conditions. Forest Ecology and Management 262, 598-608

Kautz M, Berger U, Stoyan D, Vogt J, Khan NI, Diele K, Saint-Paul U, Triet T, Nam VN (2011) Desynchronizing effects of lightning strike disturbances on cyclic forest dynamics in mangrove plantations. Aquatic Botany 95, 173-181

Buchkapitel, Zeitschriftenartikel (Auswahl):

Kautz M, Delb H, Hielscher K, Hurling R, Lobinger G, Niesar M, Otto L-F, Thiel J (2023) Borkenkäfer an Nadelbäumen – erkennen, vorbeugen, bekämpfen. FNR (Hrsg.), Gülzow-Prüzen, 54 S.

Kautz M, Delb H (2023) Reduziert das Management von Kronenbrüchen Stehendbefall durch Borkenkäfer an Fichten? Forstschutz aktuell 68, 3-11

Seidl R, Kautz M (2022) Impacts of climate change on disturbances. S. 377-389, In: Disturbance ecology. Wohlgemuth T, Jentsch A, Seidl R (Hrsg.), Springer, 439 S.

Fettig CJ, Egan JM, Delb H, Hilszczanski J, Kautz M, Munson AS, Nowak JT, Negrón JF (2022) Management tactics to reduce bark beetle impacts in North America and Europe under altered forest and climatic conditions. S. 345-394, In: Bark beetle management, ecology, and climate change. Gandhi K, Hofstetter R (Hrsg.), Academic Press, 438 S.

Peter FJ, Harms L, Kautz M (2020) Modellierung von Borkenkäferphänologie und Befallsdruck. AFZ-Der Wald 18, 19-21

Seidl R, Kautz M (2019) Einfluss des Klimawandels auf Störungen. S. 325-336, In: Störungsökologie. Wohlgemuth T, Jentsch A, Seidl R (Hrsg.), Haupt-Verlag Bern, 396 S.

Seidl R, Kautz M, Heurich M, Müller J (2016) Borkenkäferdynamik am Beispiel Bayerischer Wald. AFZ-Der Wald 9, 36-38

Forschung

• Populationsdynamik und Phänologie von Borkenkäfern
• Einfluss von Klimawandel auf biotische und abiotische Schadfaktoren
• Individuen- und prozessbasierte Modellierung, z.B. von Waldstörungen wie Borkenkäferbefall
• Methoden fernerkundlicher Schaderkennung

Monitoring

• Pheromonfallen- und Brutbaummonitoring von Borkenkäfern
• Phänologie- und Befallsrisikomodelle

Beratung

• Borkenkäferarten an Nadelbäumen
• Maßnahmen des Integrierten Borkenkäfermanagements
• Für alle Waldbesitzarten in Baden-Württemberg & Rheinland-Pfalz/Saarland
• Borkenkäfer-Pufferstreifen-Konzept im Nationalpark Schwarzwald

keine Lehrtätigkeit vorhanden