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publications from- and related to- the project

iLand publications

modeling

Seidl, R., Rammer, W., 2016 Climate change amplifies the interactions between wind and bark beetle disturbances in forest landscapes. Landscape Ecol (2017). doi:10.1007/s10980-016-0396-4


Rammer, W., Seidl, R., 2015 Coupling human and natural systems: Simulating adaptive management agents in dynamically changing forest landscapes. Global Environmental Change, 35, 475-485.

Seidl, R., Rammer, W., Blennow, K. 2014 Simulating wind disturbance impacts on forest landscapes: Tree-level heterogeneity matters. Environmental Modelling and Software 51, 1-11.


Seidl, R., Rammer, W., Scheller, R.M., Spies, T.A., 2012. An individual-based process model to simulate landscape-scale forest ecosystem dynamics. Ecol. Model. 231, 87-100.


Seidl, R., Rammer, W., Scheller, R.M., Spies, T.A., Lexer, M.J., 2010. Developing a mechanistic approach to model the effects of climate change on forest dynamics in complex mountain landscapes. MtnClim 2010, June 7-10, Blue River, OR, USA.



applications

Europe


Sommerfeld, A., Rammer, W., Heurich, M., Hilmers, T., Müller, J., & Seidl, R. (2020). Do bark beetle outbreaks amplify or dampen future bark beetle disturbances in Central Europe? Journal of Ecology, July, 1–13. https://doi.org/10.1111/1365-2745.13502


Honkaniemi, J., Rammer, W., & Seidl, R. (2020). Norway spruce at the trailing edge: the effect of landscape configuration and composition on climate resilience. Landscape Ecology, 35(3), 591–606. https://doi.org/10.1007/s10980-019-00964-y


Albrich, K., Rammer, W., & Seidl, R. (2020). Climate change causes critical transitions and irreversible alterations of mountain forests. Global Change Biology, March, 1–15. https://doi.org/10.1111/gcb.15118


Scheidl, C., Heiser, M., Kamper, S., Thaler, T., Klebinder, K., Nagl, F., Lechner, V., Markart, G., Rammer, W., & Seidl, R. (2020). The influence of climate change and canopy disturbances on landslide susceptibility in headwater catchments. Science of The Total Environment, 742, 140588. https://doi.org/10.1016/j.scitotenv.2020.140588


Dobor, L., Hlásny, T., Rammer, W., Zimová, S., Barka, I., & Seidl, R., 2020 Spatial configuration matters when removing windfelled trees to manage bark beetle disturbances in Central European forest landscapes. Journal of Environmental Management, 254(June 2019). https://doi.org/10.1016/j.jenvman.2019.109792


Dobor, L., Hlásny, T., Rammer, W., Zimová, S., Barka, I., & Seidl, R., 2019 Is salvage logging effectively dampening bark beetle outbreaks and preserving forest carbon stocks? Journal of Applied Ecology, (April), 1–10. https://doi.org/10.1111/1365-2664.13518


Albrich, K., Rammer, W., Thom, D., & Seidl, R., 2018 Trade-offs between temporal stability and level of forest ecosystem services provisioning under climate change. Ecological Applications, 28(7), 1884–1896. https://doi.org/10.1002/eap.1785


Seidl, R., Albrich, K., Erb, K., Formayer, H., Leidinger, D., Leitinger, G., … Rammer, W., 2019 What drives the future supply of regulating ecosystem services in a mountain forest landscape? Forest Ecology and Management, 445(March), 37–47. https://doi.org/10.1016/j.foreco.2019.03.047


Dobor, L., Hlásny, T., Rammer, W., Barka, I., Trombik, J., Pavlenda, P., Seidl, R., 2018 Post-disturbance recovery of forest carbon in a temperate forest landscape under climate change. Agricultural and Forest Meteorology, 263, 308–322. https://doi.org/10.1016/j.agrformet.2018.08.028


Thom, D., Rammer, W., Garstenauer, R., & Seidl, R. ,2018 Legacies of past land use have a stronger effect on forest carbon exchange than future climate change in a temperate forest landscape. Biogeosciences, 15(18), 5699–5713. https://doi.org/10.5194/bg-15-5699-2018


Seidl, R., Albrich, K., Thom, D., & Rammer, W., 2018 Harnessing landscape heterogeneity for managing future disturbance risks in forest ecosystems. Journal of Environmental Management, 209, 46–56. https://doi.org/10.1016/j.jenvman.2017.12.014


Silva Pedro, M., Rammer, W., & Seidl, R., 2017 Disentangling the effects of compositional and structural diversity on forest productivity. Journal of Vegetation Science, 28(3), 649–658. https://doi.org/10.1111/jvs.12505


Thom, D., Rammer, W., Seidl, R., 2017
The impact of future forest dynamics on climate: interactive effects of changing vegetation and disturbance regimes, Ecological Monographs, doi: 10.1002/ecm.1272


Silva Pedro, M., Rammer, W., Seidl, R.
Disentangling the effects of compositional and structural diversity on forest productivity, Journal of vegetation science. doi: 10.1111/jvs.12505


Seidl, R., Vigl, F., Rössler, G., Neumann, M., Rammer, W., 2016
Assessing the resilience of Norway spruce forests through a model-based reanalysis of thinning trials, Forest Ecology and Management. doi: 10.1016/j.foreco.2016.11.030


Thom, D., Rammer, W., Seidl, R., 2016 Disturbances catalyze the adaptation of forest ecosystems to changing climate conditions. Global Change Biology. doi:10.1111/gcb.13506


Thom, D., Rammer, W., Dirnböck, T., Müller, J., Kobler, J., Katzensteiner, K., Helm, N., Seidl, R., 2016 The impacts of climate change and disturbance on spatio-temporal trajectories of biodiversity in a temperate forest landscape. J Appl Ecol. doi:10.1111/1365-2664.12644


Silva Pedro, M., Rammer, W., Seidl, R., 2016 A disturbance-induced increase in tree species diversity
facilitates forest productivity. Landscape Ecology, in press.


Silva Pedro, M., Rammer, W., Seidl, R., 2015 Tree species diversity mitigates disturbance impacts on the forest carbon cycle. Oecologia 177, 619-630.


USA

Hansen, W. D., Abendroth, D., Rammer, W., Seidl, R., & Turner, M. G., 2020 Can wildland fire management alter 21 st ‐century subalpine fire and forests in Grand Teton National Park, Wyoming, USA? Ecological Applications, 0(0), eap.2030. https://doi.org/10.1002/eap.2030


Braziunas, K. H., Hansen, W. D., Seidl, R., Rammer, W., & Turner, M. G., 2018 Looking beyond the mean: Drivers of variability in postfire stand development of conifers in Greater Yellowstone. Forest Ecology and Management, 430, 460–471. https://doi.org/10.1016/j.foreco.2018.08.034


Hansen, W. D., Braziunas, K. H., Rammer, W., Seidl, R., & Turner, M. G., 2018 It takes a few to tango: changing climate and fire regimes can cause regeneration failure of two subalpine conifers. Ecology, 99(4), 966–977. https://doi.org/10.1002/ecy.2181


Seidl, R., Rammer, W., Spies, T.A., 2014 Disturbance legacies increase the resilience of forest ecosystem structure, composition, and functioning. Ecological Applications, 24, 2063–2077.


Seidl, R., Spies, T.A., Rammer, W., Steel, E.A., Pabst, R.J., Olsen, K., 2012 Multi-scale Drivers of Spatial Variation in Old-Growth Forest Carbon Density Disentangled with Lidar and an Individual-Based Landscape Model. Ecosystems 15, 1321-1335.


related


Petter, G., Mairota, P., Albrich, K., Bebi, P., Brůna, J., Bugmann, H., Haffenden, A., Scheller, R. M., Schmatz, D. R., Seidl, R., Speich, M., Vacchiano, G., & Lischke, H. (2020). How robust are future projections of forest landscape dynamics? Insights from a systematic comparison of four forest landscape models. Environmental Modelling and Software, 134. https://doi.org/10.1016/j.envsoft.2020.104844

Rammer, W., & Seidl, R., 2019 A scalable model of vegetation transitions using deep neural networks. Methods in Ecology and Evolution, 2019(February), 1–12. https://doi.org/10.1111/2041-210X.13171

Bugmann, H., Seidl, R., Hartig, F., Bohn, F., Brůna, J., Cailleret, M., … Reyer, C. P. O., 2019 Tree mortality submodels drive simulated long-term forest dynamics: assessing 15 models from the stand to global scale. Ecosphere, 10(2), e02616. https://doi.org/10.1002/ecs2.2616

Seidl, R., Aggestam, F., Rammer, W., Blennow, K., Wolfslehner, B. 2016The sensitivity of current and future forest managers to climate-induced changes in ecological processes. Ambio 45:430. doi:10.1007/s13280-015-0737-6


Seidl, R., Eastaugh, C.S., Kramer, K., Maroschek, M., Reyer, C., Socha, J., Vacchiano, G., Zlatanov, T., Hasenauer, H. 2013 Scaling issues in forest ecosystem management and how to address them with models. European Journal of Forest Research 132, 653-666.


Seidl, R., Blennow, K., 2012 Pervasive growth reduction in Norway spruce forests following wind disturbance. PLoS ONE 7(3): e33301.


Seidl, R., Schelhaas, M.J., Lexer, M.J., 2011 Unraveling the drivers of intensifying forest disturbance regimes in Europe. Glob. Change Biol. 17, 2842-2852.


Seidl, R., Fernandes, P.M., Fonseca, T.F., Gillet, F., Jönsson, A.M., Merganicova, K., Netherer, S., Arpaci, A., Bontemps, J.D., Bugmann, H., Gonzalez-Olabarria, J.R., Lasch, P., Meredieu, C., Moreira, F., Schelhaas, M.J., Mohren, F., 2011. Modelling natural disturbances in forest ecosystems: a review. Ecol. Model. 222, 903-924.


Wolfslehner, B., Seidl, R., 2010. Harnessing ecosystem models and multi-criteria decision analysis for the support of forest management. Environ. Manage. 46, 850-861.

Created by rupert. Last Modification: Wednesday 14 of October, 2020 11:15:45 CEST by werner.