Publications

2021


Tree Crowns Cause Border Effects in Area-Based Biomass Estimations from Remote Sensing
Knapp et al., Remote Sensing 2021

Knapp N., Huth A., Fischer R.

Tree Crowns Cause Border Effects in Area-Based Biomass Estimations from Remote Sensing. Remote Sensing (2021)

https://doi.org/10.3390/rs13081592

Keywords:
tropical forests; aboveground biomass; plot borders; tree crowns; uncertainty; lidar simulations
Study sites:
BCI, Panama

Knapp et al 2021


Deriving Tree Size Distributions of Tropical Forests from Lidar
Taubert et al., Remote Sensing 2021

Taubert F., Fischer R., Knapp N., Huth A.

Deriving Tree Size Distributions of Tropical Forests from Lidar . Remote Sensing (2021)

https://doi.org/10.3390/rs13010131

Keywords:
lidar; remote sensing; lidar profile; stem diameter distribution ; forest structure; tropical forests; Barro Colorado Island; leaf area distribution
Study sites:
BCI, Panama

Taubert et al 2021

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

Knapp et al 2020

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

Rödig et al 2020

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

Fischer et al 2019, Biomass

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

Exbrayat et al., Surv. Geophys. 2019

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

Fischer et al 2019, Horizontal Structure of Forests in Germany

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)

Bugmann et al 2019

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

Rammig2018

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

Hiltner 2018

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

Fischer 2018

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

Defaunation Impacts 2018

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

Knapp 2018 Biomass Change

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

Armstrong 2018 - simulated biomass over time

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

Bohn2018

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

Knapp2017

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

Victor Cazcarra-Bes 2017

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

Rödig 2017

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

Bohn 2017

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

FORMIND 2016

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:

dantas2016

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

Wood

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

Shugart2015

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

LAI

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

Fragmentation

Fast calibration of a dynamic vegetation model with minimum observation data
Lehmann & Huth, Ecological Modelling 2015

Keywords:
Inverse modelling; Calibration; Dynamic vegetation model; Stochastic optimization

Study site:
Barro Colorado Island, Panama

Vegetation model:

Inverse Modelling

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

Fragmentation

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

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

Keywords:
LiDAR, Biomass.

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIND

KH2010

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

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

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

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

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

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

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

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 Sabah’s 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

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

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

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

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

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

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

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

Keywords:
Tropical Forests; vegetation model

Study site:
Deramakot, Sabah, Malaysia

Vegetation model:
FORMIX