Bayesian analysis of canopy transpiration models: A test of posterior parameter means against measurements
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Bakwin, 1998, Measurements of carbon dioxide on very tall towers: results of the NOAA/CMDL program, Tellus Ser. B-Chem. Phys. Meteorol., 50, 401, 10.1034/j.1600-0889.1998.t01-4-00001.x
Bauerle, 2009, Exploring the importance of within-canopy spatial temperature variation on transpiration predictions, J. Exp. Bot., 60, 3665, 10.1093/jxb/erp206
Bernier, 2002, Validation of a canopy gas exchange model and derivation of a soil water modifier for transpiration for sugar maple (Acer saccharum Marsh.) using sap flow density measurements, For. Ecol. Manage., 163, 185, 10.1016/S0378-1127(01)00578-3
Bolzan, 2004, Tree measuring guidelines of the eastern native tree society, Eastern Nat. Tree Soc., 11
Brandtberg, 2003, Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America, Remote Sens. Environ., 85, 290, 10.1016/S0034-4257(03)00008-7
Braswell, 2005, Estimating diurnal to annual ecosystem parameters by synthesis of a carbon flux model with eddy covariance net ecosystem exchange observations, Glob. Change Biol., 11, 335, 10.1111/j.1365-2486.2005.00897.x
Brodribb, 2002, Hydraulic and photosynthetic co-ordination in seasonally dry tropical forest trees, Plant Cell Environ., 25, 1435, 10.1046/j.1365-3040.2002.00919.x
Burrows, 2002, Application of geostatistics to characterize leaf area index (LAI) from flux tower to landscape scales using a cyclic sampling design, Ecosystems, 5, 667
Campbell, 1998
Chen, 1995, Plant canopy gap-size analysis theory for improving optical measurements of leaf-area index, Appl. Opt., 34, 6211, 10.1364/AO.34.006211
Chen, 1997, A four-scale bidirectional reflectance model based on canopy architecture, IEEE Trans. Geosci. Remote Sens., 35, 1316, 10.1109/36.628798
Cienciala, 2000, Tree sap flow and stand transpiration of two Acacia mangium plantations in Sabah, Borneo. J. Hydrol., 236, 109, 10.1016/S0022-1694(00)00291-2
Cienciala, 2002, The effect of a north-facing forest edge on tree water use in a boreal Scots pine stand, Can. J. For. Res.-Rev. Can. Rech. For., 32, 693, 10.1139/x02-013
Cook, 2006, Validation of software for Bayesian models using posterior quantiles, J. Comput. Graph. Stat., 15, 675, 10.1198/106186006X136976
Davi, 2009, The fundamental role of reserves and hydraulic constraints in predicting LAI and carbon allocation in forests, Agric. For. Meteorol., 149, 349, 10.1016/j.agrformet.2008.08.014
Davis, 2003, The annual cycles of CO2 and H2O exchange over a northern mixed forest as observed from a very tall tower, Glob. Change Biol., 9, 1278, 10.1046/j.1365-2486.2003.00672.x
dePury, 1997, Simple scaling of photosynthesis from leaves to canopies without the errors of big-leaf models, Plant Cell Environ., 20, 537, 10.1111/j.1365-3040.1997.00094.x
Ewers, 2002, Tree species effects on stand transpiration in northern Wisconsin, Water Resour. Res., 38, 1103, 10.1029/2001WR000830
Ewers, 2007, Interannual consistency in canopy stomatal conductance control of leaf water potential across seven tree species, Tree Physiol., 27, 11, 10.1093/treephys/27.1.11
Ewers, 2008, Intercomparison of Sugar Maple (Acer saccharum Marsh.) stand transpiration responses to environmental conditions from the Western Great Lakes Region of the United States, Agric. For. Meteorol., 148, 231, 10.1016/j.agrformet.2007.08.003
Ewers, 2007, Effects of hydraulic architecture and spatial variation in light on mean stomatal conductance of tree branches and crowns, Plant Cell Environ., 30, 483, 10.1111/j.1365-3040.2007.01636.x
Ewers, 2000, Influence of nutrient versus water supply on hydraulic architecture and water balance in Pinus taeda, Plant Cell Environ., 23, 1055, 10.1046/j.1365-3040.2000.00625.x
Farquhar, 1980, A biochemical-model of photosynthetic Co2 assimilation in leaves of C-3 species, Planta, 149, 78, 10.1007/BF00386231
Fassnacht, 1997, Interrelationships among the edaphic and stand characteristics, leaf area index, and aboveground net primary production of upland forest ecosystems in north central Wisconsin, Can. J. For. Res.-Rev. Can. Rech. For., 27, 1058, 10.1139/x97-058
Flexas, 2009, Special issue: mesophyll conductance to CO2: mechanisms, modelling, and ecological implications preface, J. Exp. Bot., 60, 2215, 10.1093/jxb/erp150
Gelman, 2004
Giambelluca, 2003, Transpiration in a small tropical forest patch, Agric. For. Meteorol., 117, 1, 10.1016/S0168-1923(03)00041-8
Granier, 1987, Evaluation of transpiration in a douglas-fir stand means of sap flow measurements, Tree Physiol., 3, 309, 10.1093/treephys/3.4.309
Herbst, 2007, Edge effects and forest water use: a field study in a mixed deciduous woodland, For. Ecol. Manage., 250, 176, 10.1016/j.foreco.2007.05.013
Houldcroft, 2005, Measurement of canopy geometry characteristics using LiDAR laser altimetry: a feasibility study, IEEE Trans. Geosci. Remote Sens., 43, 2270, 10.1109/TGRS.2005.856639
Hurtt, 2004, Beyond potential vegetation: combining lidar data and a height-structured model for carbon studies, Ecol. Appl., 14, 873, 10.1890/02-5317
Jarvis, 1976, Interpretation of variations in leaf water potential and stomatal conductance found in canopies in field, Philos. T. Roy. Soc. B, 273, 593, 10.1098/rstb.1976.0035
Katul, 2003, Relationship between plant hydraulic and biochemical properties derived from a steady-state coupled water and carbon transport model, Plant Cell Environ., 26, 339, 10.1046/j.1365-3040.2003.00965.x
Katul, 2009, Leaf stomatal responses to vapour pressure deficit under current and CO2-enriched atmosphere explained by the economics of gas exchange, Plant Cell Environ., 32, 968, 10.1111/j.1365-3040.2009.01977.x
Keenan, 2010, Soil water stress and coupled photosynthesis-conductance models: bridging the gap between conflicting reports on the relative roles of stomatal, mesophyll conductance and biochemical limitations to photosynthesis, Agric. For. Meteorol., 150, 443, 10.1016/j.agrformet.2010.01.008
Kucharik, 1999, Characterization of radiation regimes in nonrandom forest canopies: theory, measurements, and a simplified modeling approach, Tree Physiol., 19, 695, 10.1093/treephys/19.11.695
Kurpius, 2003, Partitioning of water flux in a Sierra Nevada ponderosa pine plantation, Agric. For. Meteorol., 117, 173, 10.1016/S0168-1923(03)00062-5
Law, 2001, Estimation of leaf area index in open-canopy ponderosa pine forests at different successional stages and management regimes in Oregon, Agric. For. Meteorol., 108, 1, 10.1016/S0168-1923(01)00226-X
Leuning, 1995, Leaf nitrogen, photosynthesis, conductance and transpiration – scaling from leaves to canopies, Plant Cell Environ., 18, 1183, 10.1111/j.1365-3040.1995.tb00628.x
Loranty, 2008, Environmental drivers of spatial variation in whole-tree transpiration in an aspen-dominated upland-to-wetland forest gradient, Water Resour. Res., 44, W02441, 10.1029/2007WR006272
Loranty, 2010, Competition for light between individual trees lowers reference canopy stomatal conductance. Results from a model, J Geophys. Res.-Biogeosci., 115, G04019, 10.1029/2010JG001377
Loranty, 2010, Contribution of competition for light to within-species variability in stomatal conductance, Water Resour. Res., 46, W05516, 10.1029/2009WR008125
Lundblad, 2002, Stand transpiration and sapflow density in relation to weather, soil moisture and stand characteristics, Basic Appl. Ecol., 3, 229, 10.1078/1439-1791-00099
Mackay, 2003, Physiological tradeoffs in the parameterization of a model of canopy transpiration, Adv. Water Resour., 26, 179, 10.1016/S0309-1708(02)00090-8
Mackay, 2010, On the representativeness of plot size and location for scaling transpiration from trees to a stand, J. Geophys. Res.-Biogeosci., 115, G02016, 10.1029/2009JG001092
Medhurst, 2002, Sapwood hydraulic conductivity and leaf area – sapwood area relationships following thinning of a Eucalyptus nitens plantation, Plant Cell Environ., 25, 1011, 10.1046/j.1365-3040.2002.00880.x
Medhurst, 2002, Measured and predicted changes in tree and stand water use following high-intensity thinning of an 8-year-old Eucalyptus nitens plantation, Tree Physiol., 22, 775, 10.1093/treephys/22.11.775
Monteith, 1965, Evaporation and environment, 205
Monteith, 1990
Ni, 1997, Transmission of solar radiation in boreal conifer forests: measurements and models, J. Geophys. Res.-Atmos., 102, 29555, 10.1029/97JD00198
Novick, 2009, The relationship between reference canopy conductance and simplified hydraulic architecture, Adv. Water Resour., 32, 809, 10.1016/j.advwatres.2009.02.004
Oishi, 2008, Estimating components of forest evapotranspiration: a footprint approach for scaling sap flux measurements, Agric. For. Meteorol., 148, 1719, 10.1016/j.agrformet.2008.06.013
Oren, 1999, Survey and synthesis of intra- and interspecific variation in stomatal sensitivity to vapour pressure deficit, Plant Cell Environ., 22, 1515, 10.1046/j.1365-3040.1999.00513.x
Phillips, 1998, A comparison of daily representations of canopy conductance based on two conditional time-averaging methods and the dependence of daily conductance on environmental factors, Ann. Sci. For., 55, 217, 10.1051/forest:19980113
Poyatos, 2007, Modelling evapotranspiration in a Scots pine stand under Mediterranean mountain climate using the GLUE methodology, Agric. For. Meteorol., 146, 13, 10.1016/j.agrformet.2007.05.003
Qian, 2005, Nonlinear regression modeling of nutrient loads in streams: a Bayesian approach, Water Resour. Res., 41, 10.1029/2005WR003986
Raulier, 2000, Modeling the influence of temperature on monthly gross primary productivity of sugar maple stands, Tree Physiol., 20, 333, 10.1093/treephys/20.5-6.333
Raupach, 1988, Single-layer models of evaporation from plant canopies are incorrect but useful, whereas multilayer models are correct but useless – discuss, Aust. J. Plant Physiol., 15, 705, 10.1071/PP9880705
Samanta, 2008, Quantitative comparison of canopy conductance models using a Bayesian approach, Water Resour. Res., 44, W09431, 10.1029/2007WR006761
Samanta, 2007, Bayesian analysis for uncertainty estimation of a canopy transpiration model, Water Resour. Res., 43, W10701, 10.1029/2007WR006504
Schymanski, 2007, A test of the optimality approach to modelling canopy properties and CO2 uptake by natural vegetation, Plant Cell Environ., 30, 1586, 10.1111/j.1365-3040.2007.01728.x
Singsaas, 2001, Variation in measured values of photosynthetic quantum yield in ecophysiological studies, Oecologia, 128, 15, 10.1007/s004420000624
Skillman, 2008, Quantum yield variation across the three pathways of photosynthesis: not yet out of the dark, J. Exp. Bot., 59, 1647, 10.1093/jxb/ern029
Song, 2009, Energy, water, and carbon fluxes in a loblolly pine stand: Results from uniform and gappy canopy models with comparisons to eddy flux data, J. Geophys. Res., 114, G04021, 10.1029/2009JG000951
Song, 2004, MVP: a model to simulate the spatial patterns of photosynthetically active radiation under discrete forest canopies, Can. J. For. Res.-Rev. Can. Rech. For., 34, 1192, 10.1139/x03-280
Spiegelhalter, 2002, Bayesian measures of model complexity and fit, J Roy. Stat. Soc. Ser. B (Stat. Meth.), 64, 583, 10.1111/1467-9868.00353
Taylor, 2001, Enhanced transpiration in response to wind effects at the edge of a blue gum (Eucalyptus globulus) plantation, Tree Physiol., 21, 403, 10.1093/treephys/21.6.403
Thompson, 2011, Inferring ecosystem parameters from observation of vegetation patterns, Geophys. Res. Lett., 38, 10.1029/2011GL049182
Traver, 2010, Tree transpiration varies spatially in response to atmospheric but not edaphic conditions, Funct. Ecol., 24, 273, 10.1111/j.1365-2435.2009.01657.x
Wang, 1998, A two-leaf model for canopy conductance, photosynthesis and partitioning of available energy I: model description and comparison with a multi-layered model, Agric. For. Meteorol., 91, 89, 10.1016/S0168-1923(98)00061-6
Wullschleger, 2006, Sensitivity of canopy transpiration to altered precipitation in an upland oak forest: evidence from a long-term field manipulation study, Glob. Change Biol., 12, 97, 10.1111/j.1365-2486.2005.001082.x