Publications – FORMIND

2023

Henniger, H., Bohn, F. J., Schmidt, K., & Huth, A. (2023)
A New Approach Combining a Multilayer Radiative
Transfer Model with an Individual-Based Forest Model:
Application to Boreal Forests in Finland.
Remote Sensing, 15(12), 3078
https://doi.org/10.3390/rs15123078

Henniger, H., Huth, A., Frank, K., & Bohn, F. J. (2023):
Creating virtual forests around the globe and analysing their state space.
Ecological Modelling, 483:110404
https://doi.org/10.1016/j.ecolmodel.2023.110404

Nothaaß, D., Taubert, F., Huth, A., Clark, A. T. (2023):
Modelling species invasion using a metapopulation model with variable mortality and stochastic birth-death processes.
Ecological Modelling, 481:110372
https://doi.org/10.1016/j.ecolmodel.2023.110372

2022

Bahrami, B., Hildebrandt, A., Thober, S., Rebmann, C., Fischer, R., Samaniego, L., Rakovec, O., Kumar, R. (2022):
Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest
Geosci. Model Dev. 15 (18), 6957 – 6984
https://doi.org/10.5194/gmd-15-6957-2022

Hiltner, U., Huth, A., Fischer, R. (2022):
Importance of the forest state in estimating biomass losses from tropical forests: combining dynamic forest models and remote sensing
Biogeosciences 19 (7), 1891 – 1911
https://doi.org/10.5194/bg-19-1891-2022

2021

Bauer, L., Knapp, N., Fischer, R. (2021):
Mapping Amazon forest productivity by fusing GEDI lidar waveforms with an individual-based forest model
Remote Sens. 13 (22), art. 4540
https://doi.org/10.3390/rs13224540

Bruening, J.M., Fischer, R., Bohn, F.J., Armston, J., Armstrong, A.H., Knapp, N., Tang, H., Huth, A., Dubayah, R. (2021):
Challenges to aboveground biomass prediction from waveform lidar
Environ. Res. Lett. 16 (12), art. 125013
http://10.1088/1748-9326/ac3cec

Fischer, R. (2021):
The long-term consequences of forest fires on the carbon fluxes of a tropical forest in Africa
Appl. Sci. 11 (10), art. 4696
https://doi.org/10.3390/app11104696

Fischer, R., Taubert, F., Müller, M.S., Groeneveld, J., Lehmann, S., Wiegand, T., Huth, A. (2021):
Accelerated forest fragmentation leads to critical increase in tropical forest edge area
Sci. Adv. 7 (37), eabg7012
https://doi.org/10.1126/sciadv.abg7012

Hiltner, U., Huth, A., Hérault, B., Holtmann, A., Bräuning, A., Fischer, R. (2021):
Climate change alters the ability of neotropical forests to provide timber and sequester carbon
For. Ecol. Manage. 492 , art. 119166
https://doi.org/10.1016/j.foreco.2021.119166

Holtmann, A., Huth, A., Pohl, F., Rebmann, C., Fischer, R. (2021):
Carbon sequestration in mixed deciduous forests: the influence of tree size and species composition derived from model experiments
Forests 12 (6), art. 726
https://doi.org/10.3390/f12060726

Knapp, N., Huth, A., Fischer, R. (2021):
Tree crowns cause border effects in area-based biomass estimations from remote sensing
Remote Sens. 13 (8), art. 1592
https://doi.org/10.3390/rs13081592

Maciel, E.A., Martins, V.F., Dantas de Paula, M., Huth, A., Guilherme, F.A.G., Fischer, R., Giles, A., Barbosa, R.I., Cavassan, O., Martins, F.R. (2021):
Defaunation and changes in climate and fire frequency have synergistic effects on aboveground biomass loss in the Brazilian savanna
Ecol. Model. 454 , art. 109628
https://doi.org/10.1016/j.ecolmodel.2021.109628

Maréchaux, I., Langerwisch, F., Huth, A., Bugmann, H., Morin, X., Reyer, C.P.O., Seidl, R., Collalti, A., Dantas de Paula, M., Fischer, R., Gutsch, M., Lexer, M.J., Lischke, H., Rammig, A., Rödig, E., Sakschewski, B., Taubert, F., Thonicke, K., Vacchiano, G., Bohn, F.J. (2021):
Tackling unresolved questions in forest ecology: The past and future role of simulation models
Ecol. Evol. 11 (9), 3746 – 3770
https://doi.org/10.1002/ece3.7391

Ribeiro, N.S., Hildt Armstrong, A., Fischer, R., Kim, Y.-S., Shugart, H.H., Ribeiro-Barros, A.I., Chauque, A., Tear, T., Washington-Allen, R., Bandeira, R.R. (2021):
Prediction of forest parameters and carbon accounting under different fire regimes in Miombo woodlands, Niassa Special Reserve, Northern Mozambique
Forest Policy Econ. 133 , art. 102625
https://doi.org/10.1016/j.forpol.2021.102625

Taubert, F., Fischer, R., Knapp, N., Huth, A. (2021):
Deriving tree size distributions of tropical forests from lidar
Remote Sens. 13 (1), art. 131
https://www.mdpi.com/2072-4292/13/1/131

2020

Structure metrics to generalize biomass estimation from lidar across forest types from different continents
Knapp et al., Remote Sensing of Environment 2020

Knapp N., Fischer R., Cazcarra-Bes V., Huth A.

Structure metrics to generalize biomass estimation from lidar across forest types from different continents. Remote Sensing of Environment (2020)

https://doi.org/10.1016/j.rse.2019.111597

Keywords:
Forest structure; Aboveground biomass; Canopy height; Lidar; Generalization
Study sites:
BCI, Panama
Paracou, French Guiana
Rabi, Gabon
SERC, USA
Traunstein, Germany

2019

From small-scale forest structure to Amazon-widecarbon estimates Rödig et al., Nature Communications 2020 Rödig E., Knapp N., Fischer R., Bohn F. J., Dubayah R., Tang H., Huth A. From small-scale forest structure to Amazon-wide carbon estimates. Nature Communications (2019) https://doi.org/10.1038/s41467-019-13063-y Keywords: Forest model, Amazon, Remote Sensing, Forest structure, Biomass, Gross Primary Productivity, Study sites: Amazon
The Relevance of Forest Structure for Biomass and Productivity in Temperate Forests: New Perspectives for Remote Sensing Fischer et al., Surv. Geophys. 2019 Rico Fischer, Nikolai Knapp, Friedrich Bohn, Herman H. Shugart, Andreas Huth. The Relevance of Forest Structure for Biomass and Productivity in Temperate Forests: New Perspectives for Remote Sensing. Surv. Geophys. (2019) https://doi.org/10.1007/s10712-019-09519-x Shared link https://rdcu.be/bpv2i Keywords: forest structure; biomass; aboveground wood productivity; remote sensing; lidar; forest factory data set Study site: Germany Vegetation model: FORMIND
Understanding the land carbon cycle with space data: Current status and prospects Exbrayat et al., Surv. Geophys. 2019 Exbrayat J.-F., Bloom A.A., Carvalhais N., Fischer R., Huth A., MacBean N., Williams M. Understanding the land carbon cycle with space data: Current status and prospects Surv. Geophys. (2019) https://doi.org/10.1007/s10712-019-09506-2 Keywords: Terrestrial carbon cycle, Earth Observation, Satellite, Ecosystem modelling, Model data integration Study site: – Vegetation model: DGVM, gap model
Remote sensing measurements of forest structure types for ecosystem service mapping Fischer et al., Atlas of Ecosystem Services 2019 Fischer R., Knapp N., Bohn F., Huth A. Remote sensing measurements of forest structure types for ecosystem service mapping In: Schröter, M., Bonn, A., Klotz, S., Seppelt, R., Baessler, C., (eds.) Atlas of ecosystem services : drivers, risks, and societal Responses (2019) Springer International Publishing, Cham, p. 63 – 67 https://doi.org/10.1007/978-3-319-96229-0_11 Keywords: forest structure, remote sensing, temperate forests, forest factory, simulation Study site: Germany Vegetation model: FORMIND
Tree mortality submodels drive simulated long‐term forest dynamics: assessing 15 models from the stand to global scale Bugmann et al., Ecosphere 2019 Bugmann, H., Seidl, R., Hartig, F., Bohn, F., Brůna, J., Cailleret, M., François, L., Heinke, J., Henrot, A.-J., Hickler, T., Hülsmann, L., Huth, A., Jacquemin, I., Kollas, C., Lasch‐Born, P., Lexer, M.J., Merganič, J., Merganičová, K., Mette, T., Miranda, B.R., Nadal‐Sala, D., Rammer, W., Rammig, A., Reineking, B., Roedig, E., Sabaté, S., Steinkamp, J., Suckow, F., Vacchiano, G., Wild, J., Xu, C., Reyer, C.P.O. 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 Keywords: climate change impacts, forest dynamics, model comparison, mortality modeling, succession Study site: – Vegetation model: 15 dynamic vegetation models (amongst others FORMIND)

2018

A generic pixel-to-point comparison for simulated large-scale ecosystem properties and ground-based observations: an example from the Amazon region Rammig, et al., Geoscientific Model Development 2018 Rammig, A., Heinke, J., Hofhansl, F., Verbeeck, H., Baker, T. R., Christoffersen, B., Ciais, P., De Deurwaerder, H., Fleischer, K., Galbraith, D., Guimberteau, M., Huth, A., Johnson, M., Krujit, B., Langerwisch, F., Meir, P., Papastefanou, P., Sampaio, G., Thonicke, K., von Randow, C., Zang, C., Rödig, E. A generic pixel-to-point comparison for simulated large-scale ecosystem properties and ground-based observations: an example from the Amazon region. Geoscientific Model Development (2018). https://www.geosci-model-dev.net/11/5203/2018/ Keywords: Amazonia, carbon stocks and fluxes, field data, modelling Study site: Amazon rainforest Vegetation model: DGVMs
Simulation of succession in a neotropical forest: High selective logging intensities prolong the recovery times of ecosystem functions. Hiltner, et al., Forest Ecology and Management 2018 Ulrike Hiltner, Andreas Huth, Achim Bräuning, Bruno Hérault, Rico Fischer Simulation of succession in a neotropical forest: High selective logging intensities prolong the recovery times of ecosystem functions. Forest Ecology and Management (2018). https://doi.org/10.1016/j.foreco.2018.08.042 Keywords: Forest gap model FORMIND; dbh of lower cutting threshold; Biomass productivity; Leaf area index; Shannon diversity; Timber volume Study site: Paracou, French Guiana Vegetation model: FORMIND
Consequences of a Reduced Number of Plant Functional Types for the Simulation of Forest Productivity. Fischer, et al., Forests 2018 Rico Fischer, Edna Rödig, Andreas Huth Consequences of a Reduced Number of Plant Functional Types for the Simulation of Forest Productivity. Forests (2018). http://www.mdpi.com/1999-4907/9/8/460 Keywords: tropical forests; plant functional types; forest modeling; forest productivity; gap models Study site: Kilimanjaro region, Tansania Vegetation model: FORMIND
Defaunation impacts on seed survival and its effect on the biomass of future tropical forests. Paula, Mateus Dantas de, et al., Oikos 2018 Paula, M. D. D., Groeneveld, J., Fischer, R., Taubert, F., Martins, V. F., & Huth, A. Defaunation impacts on seed survival and its effect on the biomass of future tropical forests. Oikos (2018). https://onlinelibrary.wiley.com/doi/abs/10.1111/oik.05084 Keywords: biomass and carbon stocks, defaunation, deforestation, forest modelling, fragmentation, seed dispersal, tropical forest ecology Study site: Brazilian northeastern Atlantic Forest, Serra Grande sugar mill property Vegetation model: FORMIND
Model-Assisted Estimation of Tropical Forest Biomass Change: A Comparison of Approaches. Knapp et al., Remote Sensing 2018 Knapp, Huth, Kugler, Papathanassiou, Condit, Hubbell, Fischer Model-Assisted Estimation of Tropical Forest Biomass Change: A Comparison of Approaches. Remote Sensing. 2018, 10(5), 731 https://doi.org/10.3390/rs10050731 Keywords: aboveground biomass change; lidar; synthetic aperture radar; tropical rainforests; forest model; remote sensing Study site: BCI, Panama Vegetation model: FORMIND
The importance of forest structure for carbon fluxes of the Amazon rainforest. Rödig et al., Environmental Research Letters 2018 Rödig, Cuntz, Rammig, Fischer, Taubert, Huth. The importance of forest structure for carbon fluxes of the Amazon rainforest. Environmental Research Letters 2018. http://iopscience.iop.org/article/10.1088/1748-9326/aabc61 Keywords: Amazonia, Forest Structure, Carbon Fluxes, Tropical Forests, Forest Gap Model, Remote Sensing Study site: Amazon Vegetation model: FORMIND
Simulating Forest Dynamics of Lowland Rainforests in Eastern Madagascar. Armstrong et al., Forests 2018 Armstrong, A.; Fischer, R.; Huth, A.; Shugart, H.; Fatoyinbo, T. Simulating Forest Dynamics of Lowland Rainforests in Eastern Madagascar. Forests 2018, 9, 214. http://www.mdpi.com/1999-4907/9/4/214 Keywords: forest modeling; tropical rainforest; Madagascar; forest productivity; individual-based model Study site: Madagascar: Betampona Strict Nature Reserve and Zahamena National Park Vegetation model: FORMIND
Species composition and forest structure explain the temperature sensitivity patterns of productivity in temperate forests. Bohn et al., Biogeosciences 2018 Bohn, F. J., May, F., and Huth, A. Species composition and forest structure explain the temperature sensitivity patterns of productivity in temperate forests. Biogeosciences, 15, 1795-1813 (2018) https://doi.org/10.5194/bg-15-1795-2018 Keywords: gap models, temperature, forest productivity, forest factory Study site: temperate forests Vegetation model: FORMIND
Gap models and their individual-based relatives in the assessment of the consequences of global change. Shugart et al., Environmental Research Letters 2018 Shugart, Wang, Fischer, Ma, Fang, Yan, Huht, Armstrong Gap models and their individual-based relatives in the assessment of the consequences of global change. Environmental Research Letters (2018) https://doi.org/10.1088/1748-9326/aaaacc Keywords: Simulation, gap models, individual-based models (IBMs), forests, global change, landscape models Study site: review gap models Vegetation model: gap models
Global patterns of tropical forest fragmentation. Taubert et al., Nature 2018 Franziska Taubert, Rico Fischer, Jürgen Groeneveld, Sebastian Lehmann, Michael S. Müller, Edna Rödig, Thorsten Wiegand & Andreas Huth Global patterns of tropical forest fragmentation. Nature (2018) http://dx.doi.org/10.1038/nature25508 More details: Blog “The 187/91 scaling rule of global tropical forest Fragmentation” Official Press release: www.ufz.de Download the manuscript. Keywords: Ecological modelling, Forest ecology, Phase transitions, critical phenomena, Theoretical ecology, Fragmentation, Tropics Study site: tropical forests Vegetation model: Percolation Theory
Modelling understorey dynamics in temperate forests under global change–Challenges and perspectives. Landuyt et al., Persp. in Plant Ecology, Evolution and Systematics 2018 D. Landuyt, M.P. Perringa, R. Seidl, F. Taubert, H. Verbeeck, K. Verheyena Modelling understorey dynamics in temperate forests under global change–Challenges and perspectives. Perspectives in Plant Ecology, Evolution and Systematics (2018) https://authors.elsevier.com/c/1WW3S561026I~Q Keywords: Review; Herb layer; Ground vegetation; Mechanistic; Process-based; Forest ecosystems; Study site: temperate forests Vegetation model: Review of understorey models
Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states. Knapp et al., Remote Sensing of Environment 2018 Knapp N., Fischer R., Huth A. Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states Remote Sensing of Environment (2018) https://www.sciencedirect.com/science/article/pii/S0034425717305679 Keywords: aboveground biomass; tropical forest; disturbance; Lidar simulation; forest modeling; resolution; scale Study site: BCI, Panama Vegetation model: FORMIND

2017

Monitoring of Forest Structure Dynamics by Means of L-Band SAR Tomography. Cazcarra-Bes et al., Remote Sensing 2017 Cazcarra-Bes, Tello-Alonso, Fischer, Heym, Papathanassiou Monitoring of Forest Structure Dynamics by Means of L-Band SAR Tomography Remote Sensing (2017) http://www.mdpi.com/2072-4292/9/12/1229 Keywords: synthetic aperture radar (SAR); forest structure; forest dynamics; horizontal forest structure; vertical forest structure; L-band; forest model Study site: Traunstein, Germany and Kilimanjaro, Tansania Vegetation model: FORMIND
Spatial heterogeneity of biomass and forest structure of the Amazon rain forest: Linking remote sensing, forest modelling and field inventory. Rödig et al., Global Ecol Biogeogr. 2017 Rödig E, Cuntz M, Heinke J, Rammig A, Huth A. Spatial heterogeneity of biomass and forest structure of the Amazon rain forest: Linking remote sensing, forest modelling and field inventory. Global Ecol Biogeogr. (2017) 00:1–11. https://doi.org/10.1111/geb.12639 Keywords: Forest model, Amazon, Remote Sensing, Biomass Study site: Amazon Vegetation model: FORMIND Download data here.
The carbon fluxes in different successional stages: modelling the dynamics of tropical montane forests in South Ecuador Paulick et al., Forest Ecosystems 2017 Sebastian Paulick, Claudia Dislich, Jürgen Homeier, Rico Fischer, Andreas Huth The carbon fluxes in different successional stages: modelling the dynamics of tropical montane forests in South Ecuador. Forest Ecosystems (2017) 4:5 DOI 10.1186/s40663-017-0092-0. http://rdcu.be/rWC1 Keywords: Forest model, Tropical montane forest, Forest succession, Carbon balance, Forest productivity Study site: Ecuador: Loja Vegetation model: FORMIND
Estimating the carbon fluxes of forests with an individual-based forest model Rödig et al., Forest Ecosystems 2017 Edna Rödig, Andreas Huth, Friedrich Bohn, Corinna Rebmann, Matthias Cuntz. Estimating the carbon fluxes of forests with an individual-based forest model. Forest Ecosystems 4. doi:10.1186/s40663-017-0091-1 (2017). http://link.springer.com/article/10.1186/s40663-017-0091-1 Keywords: Temperate forest, Carbon fluxes, Eddy covariance Study site: Germany: Wetzstein, Tharandt Vegetation model: FORMIND
High resolution analysis of tropical forest fragmentation and its impact on the global carbon cycle Brinck et al., Nature Communications 2017 Katharina Brinck, Rico Fischer, Jürgen Groeneveld, Sebastian Lehmann, Mateus Dantas De Paula, Sandro Pütz, Joseph O. Sexton, Danxia Song, Andreas Huth. High resolution analysis of tropical forest fragmentation and its impact on the global carbon cycle. Nat. Commun. 8, 14855 doi: 10.1038/ncomms14855 (2017). http://www.nature.com/articles/ncomms14855 Keywords: fragmentation, edge effects, remote sensing, carbon emission Study site: tropical forests Vegetation model: –
The importance of forest structure to biodiversity–productivity relationships Bohn and Huth, Royal Society Open Science 2017 Friedrich Bohn and Andreas Huth. The importance of forest structure to biodiversity–productivity relationships. Royal Society Open Science, 4(1), 160521. http://dx.doi.org/10.1098/rsos.160521 Keywords: forest stand, biodiversity, productivity, gap model, ecosystem functioning, temperate forests Study site: temperate forests Vegetation model: FORMIND

2016

Lessons learned from applying a forest gap model to understand ecosystem and carbon dynamics of complex tropical forests Fischer et al., Ecological Modelling 2016 Rico Fischer, Friedrich Bohn, Mateus Dantas de Paula, Claudia Dislich, Jürgen Groeneveld, Alvaro G. Gutiérrez, Martin Kazmierczak, Nikolai Knapp, Sebastian Lehmann, Sebastian Paulick, Sandro Pütz, Edna Rödig, Franziska Taubert, Peter Köhler, Andreas Huth. http://dx.doi.org/10.1016/j.ecolmodel.2015.11.018 Keywords: Species richness; Disturbance; Carbon balance; Structural realism Study site: tropical forests Vegetation model: FORMIND
The extent of edge effects in fragmented landscapes: Insights from satellite measurements of tree cover Dantas De Paula et al., Ecological Indicators 2016 Mateus Dantas de Paula, Jürgen Groeneveld, Andreas Huth. http://www.sciencedirect.com/science/article/pii/S1470160X16301923 Keywords: Edge effects; Remote sensing; LANDSAT Tree Cover; Fragmented forests Study site: – Vegetation model: –
Impacts of precipitation variability on the dynamics of a dry tropical montane forest Hiltner et al., Ecological Modelling 2016 Ulrike Hiltner, Achim Bräuning, Aster Gebrekirstos, Andreas Huth, Rico Fischer. http://www.sciencedirect.com/science/article/pii/S0304380015004524 Keywords: Forest growth model; Climate change simulation; Dry tropical montane forest Study site: Ethiopia Vegetation model: FORMIX3
Monodominance in tropical forests: modelling reveals emerging clusters and phase transitions. Kazmierczak, et al., Journal of The Royal Society Interface 2016 Martin Kazmierczak, Pia Backmann, José M. Fedriani, Rico Fischer, Alexander K. Hartmann, Andreas Huth, Felix May, Michael S. Müller, Franziska Taubert, Volker Grimm, Jürgen Groeneveld “Monodominance in tropical forests: modelling reveals emerging clusters and phase transitions.” Journal of The Royal Society Interface 13.117 (2016): 20160123. DOI: 10.1098/rsif.2016.0123 http://rsif.royalsocietypublishing.org/content/13/117/20160123 Keywords: criticality, dispersal, phase transitions, percolation, simulation, single-species dominance Study site: Tropical Forest Vegetation model: –
Improving the forecast for biodiversity under climate change. Urban, et al., Science 2016 M. C. Urban1, G. Bocedi, A. P. Hendry, J.-B. Mihoub, G. Pe’er, A. Singer, J. R. Bridle, L. G. Crozier, L. De Meester, W. Godsoe, A. Gonzalez, J. J. Hellmann, R. D. Holt, A. Huth, K. Johst, C. B. Krug, P. W. Leadley, S. C. F. Palmer, J. H. Pantel, A. Schmitz, P. A. Zollner, J. M. J. Travis “Improving the forecast for biodiversity under climate change.” Science 353.6304 (2016) http://science.sciencemag.org/content/353/6304/aad8466 Keywords: biodiversity Study site: – Vegetation model: –

2015

Computer and remote-sensing infrastructure to enhance large-scale testing of individual-based forest models Shugart et al., Frontiers in Ecology and the Environment 2015 Herman H Shugart, Gregory P Asner, Rico Fischer, Andreas Huth, Nikolai Knapp, Thuy Le Toan, and Jacquelyn K Shuman. http://dx.doi.org/10.1890/140327 Keywords: forest model; individual based; remote sensing; Review; FORMIND Study site: – Vegetation model: FORMIND
Simulating carbon stocks and fluxes of an African tropical montane forest with an individual-based forest model Fischer et al., PLoS ONE 2015 Rico Fischer, Andreas Ensslin, Gemma Rutten, Markus Fischer, David Schellenberger Costa, Michael Kleyer, Andreas Hemp, Sebastian Paulick, Andreas Huth. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0123300 Keywords: Tropical forest; Forest model; Carbon; Carbon sink Study site: Mt. Kilimanjaro, Tanzania Vegetation model: FORMIND
Tropical forest degradation and recovery in fragmented landscapes — Simulating changes in tree community, forest hydrology and carbon balance Dantas de Paula et al., Global Ecology and Conservation 2015 Mateus Dantas de Paula, Jürgen Groeneveld, Andreas Huth. http://www.sciencedirect.com/science/article/pii/S235198941500030X Keywords: Brazilian Atlantic Forest; Forest dynamics; Edge-affected habitats; Ecosystem processes Study site: Serra Grande, Alagoas, Brazil Vegetation model: FORMIND
Fast calibration of a dynamic vegetation model with minimum observation data Lehmann & Huth, Ecological Modelling 2015 Sebastian Lehmann, Andreas Huth. http://www.sciencedirect.com/science/article/pii/S0304380015000320 Keywords: Inverse modelling; Calibration; Dynamic vegetation model; Stochastic optimization Study site: Barro Colorado Island, Panama Vegetation model: –

2014

Long-term carbon loss in fragmented Neotropical forests Pütz et al., Nature Communications 2014 Sandro Pütz, Jürgen Groeneveld, Klaus Henle, Christoph Knogge, Alexandre Camargo Martensen, Markus Metz, Jean Paul Metzger, Milton Cezar Ribeiro, Mateus Dantas de Paula, Andreas Huth. http://www.nature.com/ncomms/2014/141007/ncomms6037/full/ncomms6037.html Keywords: Fragmentation; Carbon Loss; Tropical Forests Study site: Amazon and Atlantic Forests, South America Vegetation model: FORMIND
A neutral vs. non-neutral parametrizations of a physiological forest gap model Kazmierczak et al., Ecological Modelling 2014 Martin Kazmierczak, Thorsten Wiegand, Andreas Huth. http://www.sciencedirect.com/science/article/pii/S0304380014002270 Keywords: Functional groups; Species grouping; Aggregation; Forest model; Neutral theory; Plant functional types Study site: Barro Colorado Island, Panama Vegetation model: FORMIND
Using dynamic vegetation models to simulate plant range shifts Snell et al., Ecography 2014 Snell, Huth, Nabel, Bocedi, Travis, Gravel, Bugmann, Gutiérrez, Hickler, Higgins, Reineking, Scherstjanoi, Zurbriggen, Lischke. http://dx.doi.org/10.1111/ecog.00580 Keywords: Dynamic Vegetation Models; Plant Range Shifts; Upscalling Study site: – Vegetation model: Various
Of climate and its resulting tree growth: Simulating the productivity of temperate forests Bohn et al., Ecological Modelling 2014 Friedrich J. Bohn, Karin Frank, Andreas Huth. http://dx.doi.org/10.1016/j.ecolmodel.2014.01.021 Keywords: Forest growth simulation; Parametrization; Yield table; FORMIND; Temperate forest; Plant functional types Study site: Northern Germany Vegetation model: FORMIND
Technical Note: Approximate Bayesian parameterization of a process-based tropical forest model Hartig et al., Biogeosciences 2014 Florian Hartig, Claudia Dislich, Thorsten Wiegand, and Andreas Huth. http://www.biogeosciences.net/11/1261/2014/ Keywords: Inverse parameter estimation; Approximate Bayesian Computation Study site: Reserva Biologica San Francisco, Ecuador Vegetation model: FORMIND
Simulating the impacts of reduced rainfall on carbon stocks and net ecosystem exchange in a tropical forest. Fischer et al., Environmental Modelling & Software 2014 Rico Fischer, Amanda Armstrong, Harald Shugart, Andreas Huth. http://www.sciencedirect.com/science/article/pii/S1364815213002697# Keywords: Tropical forest; Forest model; Vegetation modelling; Reduced precipitation; Carbon balance Study site: Betampona, Madagascar Vegetation model: FORMIX3
Increased Drought Impacts on Temperate Rainforests from Southern South America: Results of a Process-Based, Dynamic Forest Model Gutiérrez et al., PLoS ONE 2014 Alvaro G. Gutiérrez, Juan J. Armesto, M. Francisca Díaz, Andreas Huth http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0103226 Keywords: Drought impacts; Temperate Rainforests Study site: Chiloé island, Chile Vegetation model: FORMIND

2013

Bayesian calibration, comparison and averaging of six forest models, using data from Scots pine stands across Europe
van Oijen et al., Forest Ecology and Management 2013

M. van Oijen, C. Reyer, F.J. Bohn, D.R. Cameron, G. Deckmyn, M. Flechsig, S. Härkönen, F. Hartig, A. Huth, A. Kiviste, P. Lasch, A. Mäkelä, T. Mette, F. Minunno, W. Rammer
http://www.sciencedirect.com/science/article/pii/S0378112712005944

Keywords:
Dynamic modelling; Forest management models; Growth prediction; National forest inventories

Study site:
Various

Vegetation model:
Various

2012

A review of grassland models in the biofuel context.
Taubert et al., Ecological Modelling 2012

Taubert, F., Frank, K., Huth, A.
http://dx.doi.org/10.1016/j.ecolmodel.2012.04.007

Keywords:
Biodiversity effect; Grassland modeling; Competition; Individual-based; Ecosystem function

Study site:
Various

Vegetation model:
GRASSMIND, various

Modelling the impact of shallow landslides on forest structure in tropical montane forests
Dislich & Huth, Ecological Modelling 2012

Claudia Dislich, Andreas Huth.
http://www.sciencedirect.com/science/article/pii/S0304380012001822

Keywords:
Forest model; Landslide; Forest dynamics; Tropical montane forest;

Study site:
Reserva Biologica San Francisco, Ecuador

Vegetation model:
FORMIND

2011

Fragmentation drives tropical forest fragments to early successional states: A modelling study for Brazilian Atlantic forests
Pütz et al., Ecological Modelling 2011

Sandro Pütz, Jürgen Groeneveld, Luciana F. Alves, Jean Paul Metzger, Andreas Huth.
http://www.sciencedirect.com/science/article/pii/S030438001100175X

Keywords:
Habitat fragmentation; Disentangling fragmentation processes and edge effects; Biodiversity loss

Study site:
Cotia and Ibiúna, São Paulo, Brazil

Vegetation model:
FORMIND

Sustainable timber harvesting in fragmented secondary forests in Paraguay? An inquiry through modelling
Kammesheidt et al., 2011

Kammesheidt, L., Köhler, P., Pütz, S., Huth, A.
In: Günter, S., Weber, M., Stimm, B., Mosandl, R. (Eds.), Silviculture in the Tropics Springer, Heidelberg, pp. 387-396.

Keywords:

Study site:

Vegetation model:

Modelling forest growth and finance: Often disregarded tools in tropical land management
Knoke et al., 2011

Knoke, T., Huth, A.
In: Günter, S., Weber, M., Stimm, B., Mosandl, R. (Eds.), Silviculture in the Tropics Springer, Heidelberg, pp. 129-142.

Keywords:

Study site:

Vegetation model:

2010

Towards ground-truthing of spaceborne estimates of above-ground life biomass and leaf area index in tropical rain forests
Huth & Köhler, Biogeosciences 2010

Peter Köhler, Andreas Huth.
http://www.biogeosciences.net/7/2531/2010/bg-7-2531-2010.pdf

Keywords:
LiDAR, Biomass.

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIND

Modeling the dynamics of tropical montane cloud forest in central Veracruz, Mexico.
Rüger et al., Tropical Montane Cloud Forests, Cambridge University Press 2010

Rüger, N., Williams-Linera, G., Huth, A. In: Bruijnzeel, L.A., Scatena, F.N., Hamilton, L.S. (Eds.)
http://universitypublishingonline.org/cambridge/chapter.jsf?bid=CBO9780511778384&cid=CBO9780511778384A077

Keywords:
Forest modeling; Montane Cloud Forest; Mexico; Forest Dynamics

Study site:
Vera Cruz, Mexico

Vegetation model:
FORMIND

Untersuchungen zur Dynamisierung des prozessorientierten Waldwachstumsmodells FORMIX 3-Q für den Einsatz in der forstbetrieblichen Planung im tropischen Feuchtwald. Dargestellt am Beispiel der Modell-Parametrisierung für die Deramakot Forstreserve in Sabah (Ost-Malaysia).
Droste, H.-J., Thesis/Dissertation

Droste, H.-J., Thesis/Dissertation

Keywords:
Forest modeling; Logging

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIX 3-Q

2009

The impact of fragmentation and density regulation on forest succession in the Atlantic rain forest. Groeneveld et al., Ecological Modelling 2009 J. Groeneveld, L.F. Alves, L.C. Bernacci, E.L.M. Catharino, C. Knogge, J.P. Metzger, S. Pütz, A. Huth. http://www.sciencedirect.com/science/article/pii/S0304380009004153 Keywords: Forest growth model; Plant functional types; Regeneration; Simulation Study site: Cotia and Ibiúna, São Paulo, Brazil Vegetation model: FORMIND
Toward integrated analysis of human impacts on forest biodiversity: lessons from Latin America Newton et al., Ecology and Society 2009 Newton, A.C., Cavuela, L., Echeverría, C., Armesto, J.J., del Castillo, R.C., Golicher, D., Geneletti, D., González-Espinosa, M., Huth, A., López-Barrera, F., Malizia, L., Manson, R., Premoli, A., Ramírez-Marcial, N., Rey Benayas, J.M., Rüger, N., Smith-Ramírez, C., Williams-Linera, G. http://www.ecologyandsociety.org/vol14/iss2/art2/ES-2009-2847.pdf Keywords: Forest modeling; Spatial analysis; Sustainable forest management Study site: Vera Cruz, Mexico Vegetation model: Various
Structural and environmental characterization of old-growth temperate rainforests of northern Chiloé Island, Chile: Regional and global relevance. Gutiérrez et al., Forest Ecology and Management 2009 Gutiérrez, A.G., Armesto, J.J., Aravena, J.-C., Carmona, M., Carrasco, N.V., Christie, D.A., Peña, M.-P., Pérez, C., Huth, A. http://www.sciencedirect.com/science/article/pii/S0378112709001741 Keywords: Old-growth Forests; Constrained correspondence analysis; Stand age; Structural variability Study site: Chiloé island, Chile Vegetation model: –
Simulating forest dynamics of a tropical montane forest in South Ecuador. Dislich et al., Erdkunde 2009 Dislich, C., Günter, S., Homeier, J., Schröder, B., Huth, A. http://www.erdkunde.uni-bonn.de/archive/2009/simulating-forest-dynamics-of-a-tropical-montane-forest-in-south-ecuador Keywords: tropical montane forest; simulation; forest growth model Study site: Reserva Biologica San Francisco, Ecuador Vegetation model: FORMIND

2008

Long-term impacts of fuelwood extraction on a tropical montane cloud forest
Rüger et al., Ecosystems 2008

Rüger, N., Williams-Linera, G., Kissling, W.D., Huth, A.
http://link.springer.com/article/10.1007%2Fs10021-008-9166-8

Keywords:
Ecosystem dynamics; fire wood; logging impacts.

Study site:
Vera Cruz, Mexico

Vegetation model:
FORMIND

2007

Process-based modelling of regeneration dynamics and sustainable use in species-rich rain forests
Rüger et al., In: Newton,A.C. (Ed.)., Biodiversity loss and conservation in fragmented forest landscapes, 2007

Rüger, N., Armesto, J.J., Gutiérrez, A.G., Williams-Linera, G., Huth,A.
Oxford University Press

Keywords:
–

Study site:
Vera Cruz, Mexico

Vegetation model:
FORMIND

Impacts of recruitment limitation and canopy disturbance on tropical tree species richness
Köhler & Huth, Ecological Modelling 2007

Köhler, P., Huth, A.
http://www.sciencedirect.com/science/article/pii/S0304380006005771

Keywords:
Species richness; Recruitment limitation; Intermediate disturbance hypothesis

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIND

Ecological impacts of different harvesting scenarios for temperate evergreen rain forest in southern Chile — A simulation experiment
Rüger et al., Forest Ecology and Management 2007

Nadja Rüger, Álvaro G. Gutiérrez, W. Daniel Kissling, Juan J. Armesto, Andreas Huth.
http://www.sciencedirect.com/science/article/pii/S0378112707004574

Keywords:
Selective logging; Sustainable forest management;

Study site:
Chiloé island, Chile

Vegetation model:
FORMIND

2006

Modelling dynamics of managed tropical rainforests – an aggregated approach.
Tietjen and huth, Ecological Modelling 2006

Tietjen, B., Huth, A.
http://www.sciencedirect.com/science/article/pii/S0304380006002869

Keywords:
Aggregation; Differential equation; Genetic algorithm; Logging

Study site:
various

Vegetation model:
FORMIX3/FORREG

2005

Using multicriteria decision analysis and a forest growth model to assess impacts of tree harvesting in Dipterocarp lowland rain forests.
Huth et al., Forest Ecology and Management 2005

Andreas Huth, Martin Drechsler, Peter Köhler.
http://www.sciencedirect.com/science/article/pii/S037811270400739X

Keywords:
Sustainable management; Logging; Multicriteria decision analysis; Decision support

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIND

2004

Multicriteria analysis of logging scenarios in a tropical rain forest
Huth et al., Journal of Environmental Management 2004

Andreas Huth, Martin Drechsler, Peter Köhler.
http://www.sciencedirect.com/science/article/pii/S0301479704000568

Keywords:
Sustainable management; Logging; Multicriteria decision analysis; Decision support

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIND

Simulating growth dynamics in a South-East Asian rain forest threatened by recruitment shortage and tree harvesting
Köhler and Huth, Climatic Change 2004

Peter Köhler, Andreas Huth.
http://link.springer.com/article/10.1007%2Fs10584-004-0713-9

Keywords:
Dipterocarp forests; Tree Harvesting,

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIND

2003

Simulating long-term response of tropical wet forests to fragmentation
Köhler et al., Ecosystems 2003

Köhler, P., Chave, J., Riera, B., Huth, A.
http://link.springer.com/article/10.1007%2Fs10021-002-0121-9

Keywords:
Edge effects; Fragmentation; Spatially explicit simulation.

Study site:
Piste de Saint-Elie, French Guiana

Vegetation model:
FORMIND

Growth and yield of tropical moist forest for forest planning: an inquiry through modeling
Glauner et al., Canadian Journal of Forest Research 2003

Glauner, R., Ditzer, T., Huth, A.
http://www.nrcresearchpress.com/doi/abs/10.1139/x03-013#.VEUTMvm4Xgg

Keywords:
Forest growth model; Timber yield

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIND

2002

Simulating anthropogenic impacts to bird communities in tropical rain forest
Köhler et al., Biological Conservation 2002

Köhler, P., Reinhard, K., Huth, A.
http://www.sciencedirect.com/science/article/pii/S0006320702000885

Keywords:
Diversity; Modelling; Bird species; Disturbance

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIX3

Simulating logging scenarios in secondary forest embedded in a fragmented neotropical landscape.
Kammesheidt et al., Forest Ecology and Management 2002

Kammesheidt, L., Köhler, P., Huth, A.
http://www.sciencedirect.com/science/article/pii/S0378112701007836

Keywords:
Landscape management; Succession; Timber yield

Study site:
San Pedro, Paraguay

Vegetation model:
FORMIX3-Q

2001

Comparison of measured and modelled growth on permanent plots in Sabahs rain forests.
Köhler et al., Forest Ecology and Management 2001

Köhler, P., Ditzer, T., Ong, R., Huth, A.
http://www.sciencedirect.com/science/article/pii/S0378112700003649

Keywords:
Forest growth model; Mortality; Basal area;

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIND

Sustainable timber harvesting in Venezuela: a modelling approach.
Kammesheidt et al., Journal of Applied Ecology 2001

Kammesheidt, L., Köhler, P., Huth, A.
http://www.jstor.org/discover/10.2307/827316?uid=3737864&uid=2&uid=4&sid=21104342361841

Keywords:
logging scenarios; plant functional types; simulation

Study site:
Reserva florestal de Caparo, Venezuela

Vegetation model:
FORMIND

Long-term impacts of logging in a tropical rain forest – a simulation study.
Huth and Ditzer, Forest Ecology and Management 2001

Huth, A., Ditzer, T.
http://www.sciencedirect.com/science/article/pii/S0378112700003388

Keywords:
Simulation Model; Growth; Logging scenarios

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIX3

2000

Modelling anthropogenic impacts on the growth of tropical rain forests – using an individual-oriented forest growth model for the analyses of logging and fragmentation in three case studies. Köhler, PhD thesis 2000 Peter Köhler PhD thesis at the Department of Physics and the Center for Environmental Systems Research, University of Kassel. Der Andere Verlag, Osnabrück, Germany. ISBN 3-934366-99-6. http://epic.awi.de/4526/1/Koe2000a.pdf Study site: Various Vegetation model: FORMIND
Concepts for the aggregation of tropical tree species into functional types and the application on Sabah’s dipterocarp lowland rain forests. Köhler et al., Journal of Tropical Ecology 2000 Köhler, P., Ditzer, T., Huth, A. http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=60893 Keywords: Maximum tree height; plant functional types; successional status. Study site: Deramakot, Sabah, Malaysia Vegetation model: FORMIX3, FORMIND
The process-based stand growth model Formix 3-Q applied in a GIS environment for growth and yield analysis in a tropical rain forest. Ditzer et al., Tree Physiology 2000 Ditzer, T., Glauner, R., Forster, M., Köhler, P., Huth, A. http://treephys.oxfordjournals.org/content/20/5-6/367.long Keywords: Forest management planning; process-based model; site classification. Study site: Deramakot, Sabah, Malaysia Vegetation model: FORMIX3-Q
Simulation of the growth of a lowland Dipterocarp rain forest with FORMIX3. Huth and Ditzer, Ecological Modelling 2000 Huth, A., Ditzer, T. http://www.sciencedirect.com/science/article/pii/S0304380000003288 Keywords: Forest model; Validation; Sensitivity analysis Study site: Deramakot, Sabah, Malaysia Vegetation model: FORMIX3

1999

Struktur und Dynamik natürlicher und bewirtschafteter Dipterocarpaceenwälder: Eine Fallstudie der Modellbildung und Simulation für die Bewirtschaftung natürlicher Resourcen unter Unsicherheit.
Ditzer, T. 1999

Ditzer, T.
Seifert, H. S. H., Vlek, P. L. G., and Weidelt, H.-J. [Heft 131], -359. 1999. Verlag Erich Goltze Göttingen, Universität Gesamthochschule Kassel, Fachbereich Physik.

1998

The effect of tree species grouping in tropical rain forest modelling – Simulation with the individual based model FORMIND.
Köhler and Huth, Ecological Modelling 1998

Peter Köhler, Andreas Huth.
http://www.sciencedirect.com/science/article/pii/S0304380098000660

Keywords:
Simulation; Model; Individual-based; Growth; Functional groups

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIND

The rain forest growth model FORMIX3.
Huth et al., 1998

Huth, A., Ditzer, T., Bossel, H.
Verlag Erich Goltze, Göttingen.

Keywords:

Study site:

Vegetation model:
FORMIX3

1997

The effect of tree species grouping in tropical rain forest modelling – Simulation with the individual based model FORMIND.
Kürpick et al., Journal of Theoretical Biology 1997

Kürpick, P., Kürpick, U., Huth, A.
http://www.sciencedirect.com/science/article/pii/S002251939690288X

Keywords:
FORMAL; Logging

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMAL

1994

Simulation of multi-species tropical forest dynamics using a vertically and horizontally structured model.
Bossel and Krieger, Forest Ecology and Management 1994

Bossel, H., Krieger, H.
http://www.sciencedirect.com/science/article/pii/S002251939690288X

Keywords:
Tropical Forest; Spatial Structure.

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIX2

Untersuchung der Auswirkungen von verschiedenen Nutzungsstrategien auf das Wachstum von Moorregenwald – Simulationen mit FORMIX.
Huth et al., 1994

Huth, A., Hahn-Schilling, B., Bossel, H.
Zeitschrift für Ökologie und Naturschutz

Keywords:
Nutzungsstrategien; Moorregenwald.

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIX2

1991

Simulation model of natural tropical forest dynamics.
Bossel and Krieger, Ecological Modelling 1991

Bossel, H., Krieger, H.
http://www.sciencedirect.com/science/article/pii/030438009190127M

Keywords:
Tropical Forests; vegetation model

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIX