Connecting dynamic vegetation models to data - an inverse perspective
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Novel and Lost Forests in the Upper Midwestern United States, from New Estimates of Settlement-Era Composition, Stem Density, and BiomassThe Combined Use of Correlative and Mechanistic Species Distribution Models Benefits Low Conservation Status Species.On improving the communication between models and data.Moving forward: dispersal and species interactions determine biotic responses to climate change.Model systems for a no-analog future: species associations and climates during the last deglaciation.Climate change and long-term fire management impacts on Australian savannas.Intraspecific trait variation across scales: implications for understanding global change responses.Cross-scale integration of knowledge for predicting species ranges: a metamodeling framework.Modeling terrestrial carbon and water dynamics across climatic gradients: does plant trait diversity matter?Predicting the abundance of forest types across the eastern U.S. through inverse modelling of tree demography.The agony of choice: different empirical mortality models lead to sharply different future forest dynamics.Assessing the health status of managed honeybee colonies (HEALTHY-B): a toolbox to facilitate harmonised data collectionBiotic modifiers, environmental modulation and species distribution modelsLinking ecological niche, community ecology and biogeography: insights from a mechanistic niche modelProcess, correlation and parameter fitting in species distribution models: a response to Kriticoset alThe Next Decade of Big Data in Ecosystem ScienceREVIEW: Predictive ecology in a changing worldUsing dynamic vegetation models to simulate plant range shiftsA niche for biology in species distribution modelsA physiological analogy of the niche for projecting the potential distribution of plantsHow to understand species’ niches and range dynamics: a demographic research agenda for biogeographyUsing a dynamic forest model to predict tree species distributionsA Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation
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P2860
Connecting dynamic vegetation models to data - an inverse perspective
description
article
@en
im August 2012 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в серпні 2012
@uk
name
Connecting dynamic vegetation models to data - an inverse perspective
@en
Connecting dynamic vegetation models to data - an inverse perspective
@nl
type
label
Connecting dynamic vegetation models to data - an inverse perspective
@en
Connecting dynamic vegetation models to data - an inverse perspective
@nl
prefLabel
Connecting dynamic vegetation models to data - an inverse perspective
@en
Connecting dynamic vegetation models to data - an inverse perspective
@nl
P2860
P50
P1476
Connecting dynamic vegetation models to data - an inverse perspective
@en
P2093
Andreas Huth
Robert B. O’Hara
P2860
P304
P356
10.1111/J.1365-2699.2012.02745.X
P577
2012-08-21T00:00:00Z