scholarly journals Uncertainty Evaluation of Water Budget Model Parameters for Different Environmental Conditions

10.5772/55236 ◽  
2013 ◽  
Author(s):  
Zoubeida Kebaili ◽  
Ahmed Houcine ◽  
Asma Foughali
Keyword(s):  
Environmental Conditions ◽  
Water Budget ◽  
Uncertainty Evaluation ◽  
Model Parameters ◽  
Budget Model

scholarly journals Uncertainty evaluation of nuclear reaction model parameters using integral and microscopic measurements. Covariances evaluation with CONRAD code

2010 ◽  
Vol 8 ◽  
pp. 04002 ◽  
Author(s):  
C. De Saint Jean ◽  
B. Habert ◽  
P. Archier ◽  
G. Noguere ◽  
D. Bernard ◽  
...  
Keyword(s):  
Nuclear Reaction ◽  
Reaction Model ◽  
Uncertainty Evaluation ◽  
Model Parameters

An analytical solution for a water budget model in an unsaturated zone

2003 ◽  
Vol 26 (3) ◽  
pp. 321-332 ◽  
Author(s):  
Jin‐Fa Chen ◽  
Cheng‐Haw Lee ◽  
Jin‐Li Yu
Keyword(s):  
Analytical Solution ◽  
Water Budget ◽  
Unsaturated Zone ◽  
Budget Model

A water budget model for pond aquaculture

1998 ◽  
Vol 18 (3) ◽  
pp. 175-188 ◽  
Author(s):  
Shree S. Nath ◽  
John P. Bolte
Keyword(s):  
Water Budget ◽  
Budget Model ◽  
Pond Aquaculture

Development and application of the wetlands Dynamic Water Budget Model

Wetlands ◽  
1996 ◽  
Vol 16 (3) ◽  
pp. 347-357 ◽  
Author(s):  
Raymond Walton ◽  
Raymond S. Chapman ◽  
Jack E. Davis
Keyword(s):  
Water Budget ◽  
Budget Model

scholarly journals True water constraint under a rainfall interception experiment in a Mediterranean shrubland (Northern Tunisia): confronting discrete measurements with a plant–soil water budget model

Plant Ecology ◽  
2014 ◽  
Vol 215 (7) ◽  
pp. 779-794 ◽  
Author(s):  
Damien Longepierre ◽  
Florent Mouillot ◽  
Bahri Ouelhazi ◽  
Jean Marc Ourcival ◽  
Alain Rocheteau ◽  
...  
Keyword(s):  
Soil Water ◽  
Water Budget ◽  
Rainfall Interception ◽  
Northern Tunisia ◽  
Budget Model ◽  
Plant Soil ◽  
Mediterranean Shrubland ◽  
Water Constraint

scholarly journals Emergent Rarity Properties in Carabid Communities From Chinese Steppes With Different Climatic Conditions

2021 ◽  
Vol 9 ◽  
Author(s):  
Noelline Tsafack ◽  
Paulo A. V. Borges ◽  
Yingzhong Xie ◽  
Xinpu Wang ◽  
Simone Fattorini
Keyword(s):  
Community Structure ◽  
Environmental Conditions ◽  
Large Scale ◽  
Species Abundance ◽  
Climatic Conditions ◽  
Carabid Beetles ◽  
Model Parameters ◽  
Desert Steppe ◽  
Best Fit ◽  
Scale Of Analysis

Species abundance distributions (SADs) are increasingly used to investigate how species community structure changes in response to environmental variations. SAD models depict the relative abundance of species recorded in a community and express fundamental aspects of the community structure, namely patterns of commonness and rarity. However, the influence of differences in environmental conditions on SAD characteristics is still poorly understood. In this study we used SAD models of carabid beetles (Coleoptera: Carabidae) in three grassland ecosystems (desert, typical, and meadow steppes) in China. These ecosystems are characterized by different aridity conditions, thus offering an opportunity to investigate how SADs are influenced by differences in environmental conditions (mainly aridity and vegetation cover, and hence productivity). We used various SAD models, including the meta-community zero sum multinomial (mZSM), the lognormal (PLN) and Fisher’s logseries (LS), and uni- and multimodal gambin models. Analyses were done at the level of steppe type (coarse scale) and for different sectors within the same steppe (fine scale). We found that the mZSM model provided, in general, the best fit at both analysis scales. Model parameters were influenced by the scale of analysis. Moreover, the LS was the best fit in desert steppe SAD. If abundances are rarefied to the smallest sample, results are similar to those without rarefaction, but differences in models estimates become more evident. Gambin unimodal provided the best fit with the lowest α-value observed in desert steppe and higher values in typical and meadow steppes, with results which were strongly affected by the scale of analysis and the use of rarefaction. Our results indicate that all investigated communities are adequately modeled by two similar distributions, the mZSM and the LS, at both scales of analyses. This indicates (1) that all communities are characterized by a relatively small number of species, most of which are rare, and (2) that the meta-communities at the large scale maintain the basic SAD shape of the local communities. The gambin multimodal models produced exaggerated α-values, which indicates that they overfit simple communities. Overall, Fisher’s α, mZSM θ, and gambin α-values were substantially lower in the desert steppe and higher in the typical and meadow steppes, which implies a decreasing influence of environmental harshness (aridity) from the desert steppe to the typical and meadow steppes.

scholarly journals Modeling light use efficiency in a subtropical mangrove forest equipped with CO<sub>2</sub> eddy covariance

2013 ◽  
Vol 10 (3) ◽  
pp. 2145-2158 ◽  
Author(s):  
J. G. Barr ◽  
V. Engel ◽  
J. D. Fuentes ◽  
D. O. Fuller ◽  
H. Kwon
Keyword(s):  
Eddy Covariance ◽  
Environmental Conditions ◽  
Mangrove Forest ◽  
Environmental Drivers ◽  
Model Parameters ◽  
Co2 Uptake ◽  
Light Use Efficiency ◽  
Co2 Fluxes ◽  
Use Efficiency ◽  
Reflectance Data

Abstract. Despite the importance of mangrove ecosystems in the global carbon budget, the relationships between environmental drivers and carbon dynamics in these forests remain poorly understood. This limited understanding is partly a result of the challenges associated with in situ flux studies. Tower-based CO2 eddy covariance (EC) systems are installed in only a few mangrove forests worldwide, and the longest EC record from the Florida Everglades contains less than 9 years of observations. A primary goal of the present study was to develop a methodology to estimate canopy-scale photosynthetic light use efficiency in this forest. These tower-based observations represent a basis for associating CO2 fluxes with canopy light use properties, and thus provide the means for utilizing satellite-based reflectance data for larger scale investigations. We present a model for mangrove canopy light use efficiency utilizing the enhanced green vegetation index (EVI) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) that is capable of predicting changes in mangrove forest CO2 fluxes caused by a hurricane disturbance and changes in regional environmental conditions, including temperature and salinity. Model parameters are solved for in a Bayesian framework. The model structure requires estimates of ecosystem respiration (RE), and we present the first ever tower-based estimates of mangrove forest RE derived from nighttime CO2 fluxes. Our investigation is also the first to show the effects of salinity on mangrove forest CO2 uptake, which declines 5% per each 10 parts per thousand (ppt) increase in salinity. Light use efficiency in this forest declines with increasing daily photosynthetic active radiation, which is an important departure from the assumption of constant light use efficiency typically applied in satellite-driven models. The model developed here provides a framework for estimating CO2 uptake by these forests from reflectance data and information about environmental conditions.

scholarly journals Application of a dynamic energy budget model to the Pacific oyster, Crassostrea gigas, reared under various environmental conditions

2006 ◽  
Vol 56 (2) ◽  
pp. 156-167 ◽  
Author(s):  
Stéphane Pouvreau ◽  
Yves Bourles ◽  
Sébastien Lefebvre ◽  
Aline Gangnery ◽  
Marianne Alunno-Bruscia
Keyword(s):  
Energy Budget ◽  
Environmental Conditions ◽  
Crassostrea Gigas ◽  
Pacific Oyster ◽  
Dynamic Energy Budget ◽  
Budget Model ◽  
The Pacific ◽  
Dynamic Energy Budget Model
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