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.
It's interesting to note that most of these elements include physics that modellers are least confident about — hydrology, ice sheets and
vegetation dynamics.
The soil moisture ECV is important to climate science due to its impact on biogeochemical cycling, mesoscale climate models,
vegetation dynamics, albedo, 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.
The above ECVs are important to climate studies due to their role in biogeochemical cycling, modeling, mesoscale climate models, human impact,
vegetation dynamics, albedo, and surface roughness.
Measurements of biomass are important to studies of biogeochemical cycling, modeling, mesoscale climate models, human impact,
vegetation dynamics, and surface roughness.
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).
In order to do this they downscale output from a global climate model using a regional climate model that can simulate
vegetation dynamics.
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.
Some forcings affect the climate system in nonradiative ways, in particular by modifying the hydrological cycle or
vegetation dynamics.
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.
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).
Effect of 7 yr of experimental drought on
vegetation dynamics and biomass storage of an eastern Amazonian rainforest.
Within an international model intercomparison project, researchers were able to simulate the complex carbon cycle as well as
vegetation dynamics in climate projections for the 21st century.
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,
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
It's interesting to note that most of these elements include physics that modellers are least confident about — hydrology, ice sheets and
vegetation dynamics.
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.
Sitch, S., et al., 2003: Evaluation of ecosystem
dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global
vegetation model.
Livestock grazing and fire suppression effects, for example, have arguably had minimal effects on changes in
vegetation and fuel
dynamics in many shrublands (e.g., southern California chaparral) or in higher elevation spruce - fir forests.
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
Climate models are like weather models for the atmosphere and land, except they have to additionally predict the ocean currents, sea - ice changes, include seasonal
vegetation effects, possibly even predict
vegetation changes, include aerosols and possibly atmospheric chemistry, so they are not like weather models after all, except for the atmospheric
dynamics, land surface, and cloud / precipitation component.
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.
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.
three global land cover seasonality products describing the
vegetation greenness, the snow and the burned areas occurrence
dynamics,
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.
Interactions between carbon and nitrogen
dynamics in estimating net primary productivity for potential
vegetation in North America.
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.
The authors use climate, lightning, fire and
vegetation data to assess the mechanisms contributing to large fire years and find an increase in lightening ignitions, which drives interannual and long - term ignition and burned area
dynamics in boreal North America.
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.
Most life forms are within that 1.5 m; add
vegetation and it changes the entire
dynamics.
High spatial resolution three - dimensional mapping of
vegetation spectral
dynamics using computer vision.