Sentences with phrase «of vegetation dynamics»
Her work includes computer simulation modeling of vegetation dynamics coupled to atmospheric general circiulation models (GCMs), occasional fieldwork, and theoretical studies on the thermodynamic efficiency of photon energy use in photosynthesis.
https://www.giss.nasa.gov/ Not exact matches
NEON collects and produces data on precipitation patterns, soil and groundwater dynamics, interactions with vegetation, and processes such as nutrient cycling and food web dynamics in aquatic ecosystems to support the comprehensive study of water cycles throughout diverse ecosystems.
Organisation and dynamics of biocoenosis; biodiversity patterns at various scales; hydrobiology of running and standing waters and wetlands; ecological effects of climate and land use changes; conservation biology and restoration ecology; new plant resources; natural vegetation in Hungary; maintenance of the Botanical Garden.
It's interesting to note that most of these elements include physics that modellers are least confident about — hydrology, ice sheets and vegetation dynamics.
Sitch, S., et al., 2003: Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model.
This 9 - day - long summer course intends to provide basic knowledge about the functioning of the Critical Zone and its relationships with ecosystem dynamics, focusing on aspects related to hydrology, soil geochemistry and weathering, vegetation dynamics and distribution, microbiota, biodiversity, ecosystem processes
On the importance of including vegetation dynamics in Budyko's hydrological model R. J. Donohue, M. L. Roderick, and T. R. McVicar Ecosystem Dynamics Group, Research School of Biological Sciences,
The meeting will mainly cover the following themes, but can include other topics related to understanding and modelling the atmosphere: ● Surface drag and momentum transport: orographic drag, convective momentum transport ● Processes relevant for polar prediction: stable boundary layers, mixed - phase clouds ● Shallow and deep convection: stochasticity, scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary - layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization, process studies on aerosol - cloud interactions ● Radiation: circulation coupling; interaction between radiation and clouds ● Land - atmosphere interactions: Role of land processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model development
Effect of 7 yr of experimental drought on vegetation dynamics and biomass storage of an eastern Amazonian rainforest.
Analyses of differences in model behavior should therefore focus not only on the processes of carbon acquisition (i.e., photosynthesis and NPP), but also on the dynamics of vegetation carbon turnover.
Nine global vegetation models (GVMs)(meaning vegetation processes are simulated, but not necessarily vegetation dynamics), four of which were DGVMs, were used in the Coupled Climate — Carbon Cycle Model Intercomparison Project (3).
However, global - scale vegetation model development has strongly focused on productivity processes whereas, apart from major disturbances such as fire, the dynamics of carbon turnover have been largely ignored.
Of the seven models used in the current study, HYBRID4 (7), JeDi (8), JULES (9), and LPJmL (10) simulated full vegetation dynamics, whereas ORCHIDEE (11), SDGVM (12), and VISIT (13, 14) used prescribed vegetation distributions.
Global environmental change is rapidly altering the dynamics of terrestrial vegetation, with consequences for the functioning of the Earth system and provision of ecosystem services1, 2.
This leads to different dynamics of the regional fire cycles: In the Northern US, negative correlations of fire with water storage or vegetation for negative lags (fire leads) suggest that the enhanced fire frequency will reduce vegetation carbon and affect subsequent droughts lasting for several years.
New efforts are needed in the development of models, which successfully represent the space - time dynamics interaction between soil, climate and vegetation.
In the version of this Letter originally published, in the final paragraph, the section of text including «Earth system models should... nutrient cycling)» was misleading and should have been: «Models simulating the dynamics of the terrestrial biosphere currently consider the effects of nitrogen on vegetation and soils25, 26 but they still do not consider the effects of other nutrients such as phosphorus or potassium.
Ecological restoration is rooted in the understanding of past ecosystem dynamics, and paleoecological reconstructions provide a long - term perspective on landscape change, vegetation dynamics, and fire history.
Also, a recent article on climate - vegetation dynamics concludes that, due to poor scientific understanding of ecological thresholds and their relationship to climate change, we can not accurately predict how or when vegetation will change due to global warming, or even whether these changes will be reversible (Maslin, 2004).
Measurements of biomass are important to studies of biogeochemical cycling, modeling, mesoscale climate models, human impact, vegetation dynamics, and surface roughness.
The lakes ECV is of relevance to biogeochemical cycling, eutrophication, mesoscale climate models, human impact, vegetation dynamics, water cycle, and radiation budget climate studies.
Peteet, D., A. Andreev, W. Bardeen, and F. Mistretta, 1998: Long - term Arctic peatland dynamics, vegetation and climate history of the Pur - Taz region, Western Siberia.
It's interesting to note that most of these elements include physics that modellers are least confident about — hydrology, ice sheets and vegetation dynamics.
High spatial resolution three - dimensional mapping of vegetation spectral dynamics using computer vision.