Transpiration dynamics of an Austrian Pine stand and its forest floor: Identifying controlling conditions using artificial neural networks

Advances in Water Resources

Volumn 25, Issue 3, 2002, Pages 293-303

  Vrugt, Jasper A ^a   Bouten, Willem ^a   Dekker, Stefan C ^a   Musters, Pieter A D ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

HEAT FLUX; NEURAL NETWORKS; TRANSPIRATION;

TOPSOIL WATER CONTENT;

FORESTRY;

ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL EFFECT; EVERGREEN FOREST; FOREST FLOOR; LATENT HEAT FLUX; SOIL WATER; TRANSPIRATION;

PINUS NIGRA;

EID: 0036503454     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0309-1708(01)00061-6     Document Type: Article

References (36)

1. Seasonal variation of energy and water vapour exchange rates above and below a boreal jack pine forest canopy
2. Processes controlling understorey evapotranspiration
3. Analysing forest transpiration model errors with artificial neural networks
4. An introduction to the bootstrap
5. Soil map of the world, revised legend
6. A model of the gas exchange response of Picea abies to habitat conditions
7. A computer controlled 36-channel time domain reflectometry system for monitoring soil water contents
8. Use of statistical and neural network techniques to detect how stomatal conductance responds to changes in the local environment
9. The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field
10. Scaling processes and problems
11. Evaporation and canopy characteristics of coniferous forests and grasslands
12. Evaporation from a Central Siberian pine forest
13. Validation of eddy flux measurements above the understorey of a Pine forest
14. Evaluating progress toward closed forest models based on fluxes of carbon, water and nutrients
15. Atmospheric turbulence within and above a Douglas-fir stand. Part II: Eddy fluxes of sensible heat and water vapour
16. The sensitivity of the water balance of a wet multi-layer model pine canopy to variations in micrometeorological input
17. Utulisation d'une chambre de transpiration portable pour l'estimation de l'évapotranspiration d'un sous-bois de pin maritime á molinie
18. An algorithm for least-squares estimation of non-linear parameters
19. Frequency response corrections for eddy correlation systems
20. Assessing rooting depths of an Austrian pine stand by inverse modelling soil water content maps
21. Potentials and limitations of modelling vertical distribution of root water uptake of an Austrian pine forest on a sandy soil
22. On the assessment of surface flux and evaporation using large-scale parameters
23. Factors affecting stomatal conductance of bracken below a forest canopy
24. A non-linear rainfall-runoff model using an artificial neural network
25. Modeling soil water retention curves of sandy soils using neural networks
26. Neural network analysis for hierarchical prediction of soil hydraulic properties
27. Estimating sensible and latent heat fluxes from a temperate broad-leaved forest using the simple biosphere (SiB) model
28. Calibrating the simple biosphere model for Amazonian tropical forest using field and remote sensing data. Part I: Average calibration with field data
29. Evaporation from sparse crops - An energy combination theory
30. The theoretical relationship between foliage temperature and canopy resistance in sparse crops
31. Modelling surface conductance of pine forest
32. Water and carbon fluxes above European coniferous forests modelled with artificial neural networks
33. Description and validation of an array model - MAESTRO
34. Corrections of flux measurements for density effects due to heat and water vapour transfer