Generalizing plant-water relations to landscapes

Journal of Plant Ecology

Volumn 4, Issue 1-2, 2011, Pages 101-113

  Waring, R H ^a   Landsberg, J J ^b  

^a OREGON STATE UNIVERSITY   (United States)

^b Withycombe   (Australia)

Author keywords

canopy stomatal conductance; plant water relations; process based models; remote sensing

Indexed keywords

EID: 79952638574     PISSN: 17529921     EISSN: 1752993X     Source Type: Journal    
DOI: 10.1093/jpe/rtq041     Document Type: Review

References (107)

1. Almeida AC, Sands PJ, Bruce J, et al. (2009) Use of a spatial processbased model to quantify forest plantation productivity and water use efficiency under climate change scenarios. 18th World IMACS/ MODSIM Congress, Cairns, Australia, 13-17 July 2009, p. 1816-22. http://mssanz.org.au/modsim09 (25 January 2011, date last accessed).
2. Almeida AC, Soares JV (2003) Comparacxão entre o uso de água em plantacxões de Eucalyptus grandise floresta ombró fila densa (Mata Atlântica) na costa leste doBrasil. (Comparison of water use by Eucalyptus grandis plantations and Atlantic rainforest near the eastern coast of Brazil). Revista Árvore 27:159-70.
3. Amenu GG, Kumar P (2007) A model for hydraulic redistribution incorporating coupled soil-root moisture transport. Hydrol Earth Syst Sci Discuss 4:3719-69. (Pubitemid 47530945)
4. Anthoni PM, Law BE, Unsworth MH (1999) Carbon and water vapor exchange of an open-canopied ponderosa pine ecosystem. Agricl For Meteorol 95:151-68. (Pubitemid 29345206)
5. Asbjornsen H, Goldsmith GR, Alvarado-Barrientos MS, et al. (2011) Ecohydrological advances and applications in plant-water relations research: a review. J Plant Ecol 4:3-22.
6. Asner GP, Alencar A (2010) Drought impacts on the Amazon forest: the remote sensing perspective. New Phytol 187:569-78.
7. Asner GP, Nepstad D, Cardinot G, et al. (2004) Drought stress and carbon uptake in an Amazon forest measured with spaceborne imaging spectroscopy. Proc Natl Acad Sci U S A 101:6039-44. (Pubitemid 38520524)
8. Baldocchi DD, Hutchison BA (1986) On estimating canopy photosynthesis and stomatal conductance in a deciduous forest with clumped foliage. Tree Physiol 2:155-68.
9. Beerling DJ, Osborne CP, Chaloner WG (2001) Evolution of leaf-form in land plants linked to atmospheric CO2 decline in the late Paloeozoic era. Nature 410:352-4. (Pubitemid 32246047)
10. Bernier PY, Bréda N, Granier A, et al. (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 163:185-96. (Pubitemid 34682439)
11. Bernier PY, Raulier F, Stenberg P, et al. (2001) Importance of needle age and shoot structure on canopy photosynthesis of balsam fir (Abies balsamea): a spatially inexplicit modeling analysis. Tree Physiol 21:815-30. (Pubitemid 32876132)
12. Brodribb TJ, Feild TS (2000) Stem hydraulic supply is linked to leaf photosynthetic capacity: evidence from New Caledonian and Tasmanian rainforests. Plant Cell Environ 23:1381-8. (Pubitemid 32010463)
13. Brodribb TJ, McAdam SAM, Jordan GJ, et al. (2009) Evolution of stomatal responsiveness to CO2 and optimization of water-use efficiency among land plants. New Phytol 183:839-47.
14. Brown TC, Hobbins MT, Ramirez JA (2008) Spatial distribution of water supply in the conterminous United States. J Am Water Res Assoc 44:1474-87.
15. Burgess SSO, Adams MA, Turner NC, et al. (2001) Tree roots: conduits for deep recharge of soil water. Oecologia 126:158-65. (Pubitemid 32449403)
16. Chen JM, Chen X, Ju W, et al. (2005) Distributed hydrological model for mapping evapotranspiration using remote sensing inputs. J Hydrol 305:15-39. (Pubitemid 40428087)
17. Cohen WB, Spies TA (1992) Estimating structural attributes of Douglas- fir/western hemlock forest stands from Landsat and SPOT imagery. Remote Sens Environ 41:1-17.
18. Cox PM, C. Huntingford C, et al. (1998) A canopy conductance and photosynthesis model for use in a GCM land surface scheme. J Hydrol 212-213:79-94. (Pubitemid 29020058)
19. Dai Y, Dickinson RE, Wang Y-P (2003) A two big-leaf model for canopy temperature, photosynthesis, and stomatal conductance. J Climate 17:2281-99.
20. Dawson TD, Burgess SSO, Tu KP, et al. (2007) Nighttime transpiration in woody plants from contrasting ecosystems. Tree Physiol 27:561-75.
21. Drolet GG, Middleton EM, Huemmrich KF, et al. (2008) Regional mapping of gross light-use efficiency using MODIS spectral indices. Remote Sens Environ 112:3065-78.
22. Dye D, Shibasaki R (1995) Intercomparison of global PAR data sets. Geophys Res Lett 22:2013-6. (Pubitemid 26438261)
23. Eck TF, Dye DG (1999) Satellite estimation of incident photosynthetically active radiation using ultraviolet reflectance. Remote Sens Environ 38:135-46.
24. Evans J (1989) Photosynthesis and nitrogen relationships in leaves of C3 plants. Oecologia 78:9-19.
25. Fargan M, Defries R (2009) Measuring and monitoring the world's forests: a review and summary of remote sensing technical capabilities 2009-2015. Resour Future, Washington, D.C. http://www.rff.org/rff/ documents/rff-rpt- technical%20capacity-macauley%20et%20al. pdf (27 January 2011, date last accessed).
26. Feikema PM, Morris JD, Beverly CR, et al. (2010) Validation of plantation transpiration in south-eastern Australia estimated using the 3PG+ forest growth model. For Ecol Manage 260:663-78.
27. Field C (1983) Allocating leaf nitrogen for the maximization of carbon gain: Leaf age as a control on the allocation program. Oecologia 56:341-7. (Pubitemid 14269707)
28. Finzi AC, Moore DJP, DeLucia EH, et al. (2008) Progressive nitrogen limitation of ecosystem processes under elevated CO2 in a warmtemperate forest. Ecology 87:15-25. (Pubitemid 43363711)
29. Gamon JA, Peñuelas J, Field CB (1992) A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sens Environ 41:35-44.
30. Gates DM, Keegan HJ, Schleter JC, et al. (1965) Spectral properties of plants. Appl Optics 4:11-20.
31. Goward SN, Waring RH, Dye DG, et al. (1994) Ecological remote sensing at OTTER: satellite macroscale observations. Ecol Appl 4:322-43. (Pubitemid 2076169)
32. Hadley JL (2000) Effect of daily minimum temperature on photosynthesis in eastern hemlock (Tsuga canadensis L.) in autumn and winter. Arctic Antarctic Alpine Res 32:368-74. (Pubitemid 32382644)
33. Hall FG, Hilker T, Coops NC, et al. (2008) Multi-angle remote sensing of forest light use efficiency by observing PRI variation with canopy shadow fraction. Remote Sens Environ 112:3201-11.
34. Hamlet AF, Lettenmaier DP (1999) Effects of climate change on hydrology and water resources in the Columbia River Basin. J Am Water Resour Assoc 35:1597-673.
35. Hashimoto H, Dungan JL, White MA, et al. (2008) Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data. Remote Sens Environ 112:142-55. (Pubitemid 350138005)
36. Hawkins BJ, Sweet GB (1989) Photosynthesis and growth of present New Zealand forest trees relate to ancient climates. Ann. Sci. For. 46:512s-514s.
37. Hember RA, Coops NC, Black TA, et al. (2010) Simulating gross primary production across a chronosequence of coastal Douglas-fir stands with a production efficiency model. Agric For Meteor 150:238-53.
38. Hilker T, Lyapustin A, Hall FG, et al. (2009) An assessment of photosynthetic light use efficiency from space: modeling the atmospheric and directional impacts on PRI reflectance. Remote Sens Environ 113:2463-75.
39. Hubbard RM, Bond BJ, Ryan MG (1999) Evidence that hydraulic conductance limits photosynthesis in old ponderosa pine trees. Tree Physiol 19:165-72. (Pubitemid 29163298)
40. Hubbard RM, Ryan MG, Giardin CP, et al. (2004) The effect of fertilization on sap flux and canopy conductance in a Eucalyptus saligna experimental forest. Global Change Biol 10:427-36. (Pubitemid 38502808)
41. Ichii K, Hashimoto H, White MA, et al. (2007) Constraining rooting depths in tropical rainforests using satellite data and ecosystem modeling for accurate simulation of gross primary production seasonality. Global Change Biol 13:67-77. (Pubitemid 46092183)
42. IPCC Summary for policymakers. Climate Change 2007: The Physical Science Basis. Contribution of Working Group Ito the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press.
43. Jarvis PG (1976) The interpretation of the variation in leaf water potential and stomatal conductance found in canopies in the field. Philos. Trans. R. Soc. Lond. B Biol. Sci. 273:593-610.
44. Kavanagh KL, Pangle R, Schotzko AD (2007) Nocturnal transpiration causing disequilibrium between soil and stem predawn water potential in mixed conifer forests of Idaho. Tree Physiol. 27: 621-9. (Pubitemid 46740049)
45. Kelliher FM, Leuning R, Raupach MR, et al. (1995) Maximum conductances for evaporation from global vegetation types. Agric. For. Meteorol. 73:1-16.
46. Kim H-S, Oren R, Hinckley TM (2008) Actual and potential transpiration and carbon assimilation in an irrigated poplar plantation. Tree Physiol 28:559-77. (Pubitemid 351684087)
47. Kimball JS, McDonald KC, Running SW, et al. (2004) Satellite radar remote sensing of seasonal growing seasons for boreal and subalpine evergreen forests. Remote Sens Environ 90:243-58. (Pubitemid 38300382)
48. Kleidon A, HeimannM(1998) A method of determining rooting depth from a terrestrial biosphere model and its impacts on the global water and carbon cycle. Global Change Biol 4:275-86.
49. Koch GW, Sillett SC, Jennings GM, et al. (2004) The limits to tree height. Nature 428:851-4. (Pubitemid 38529498)
50. Landsberg JJ, Sands PJ (2011) Physiological Ecology of Forest Production: Principles, Processes and Modelling. Oxford, UK: Elsevier Inc.
51. Landsberg JJ, Waring RH (1997) A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. For Ecol Manage 95:209-28. (Pubitemid 27383743)
52. Liang S, Zheng T, Liu R, et al. (2006) Estimation ofincident photosynthetically active radiation form Moderate Resolution Imaging Spectrometer data. J Geophys Res 11:D15208.
53. Lefsky MA, Cohen WB, Parker GG, et al. (2002) Lidar remote sensing for ecosystem studies. BioScience 52:19-30. (Pubitemid 34119618)
54. Lloyd J (1999) The CO2 dependence of photosynthesis, plant growth responses to elevated CO2 concentrations and their interaction with soil nutrient status, II. Temperate and boreal forest productivity and the combined effects of increasing CO2 concentrations and increased nitrogen deposition at a global scale. Funct Ecol 13:439-59. (Pubitemid 29461741)
55. Lloyd J, Grace J, Miranda AC, et al. (1995) A simple calibrated model of Amazon rainforest productivity based on leaf biochemical properties. Plant Cell Environ 18:1129-45.
56. Macinnis-Ng C, Zeppel M, Williams M, Eamus D (2010) Applying a SPAmodel to examine the impact of climate change onGPP of open woodlands and the potential for woody thickening. Ecohydrology .
57. Meinzer FC, Andrade JL, Goldstein G, et al. (1999) Partitioning of soil water among canopy trees in a seasonally dry tropical forest. Oecologia 121:293-301.
58. Monteith JL (1965) Evaporation and environment. Symp Soc Exp Biol 29:205-34.
59. Morison JIL, Jarvis PG (1983) Direct and indirect effects of light on stomata. II In Commelina communis L. Plant Cell Environ 6:103-9.
60. Myneni RB, Keeling CD, Tucker GJ, et al. (1997) Increased plant growth in the northern high latitudes from 1981 to 1991. Science 386:698-702.
61. Neeff T, Dutra LV, dos Santos JR, et al. (2005) Tropical forest measurement by interferometric height modeling and P- band radar backscatter. Forest Sci 51:585-94. (Pubitemid 41798331)
62. Nemani RR (2008) Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data. Remote Sens Environ 112:142-55. (Pubitemid 350138005)
63. Nemani RR, Keeling CD, Hashimoto H, et al. (2003) Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science 3000:1560-3. (Pubitemid 36682885)
64. Nemani RR, Running SW (1989) Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data. J Appl Meteorol 28:276-84.
65. Nesbitt SW, Zipser EJ, Kummerow CD (2004) An examination of Version- 5rainfall estimates from the TRMM Microwave Imager, precipitation radar, andrain gauges on global, regional, and storm scales. J Appl Meteorol 43:1016-36. (Pubitemid 39073815)
66. Norman JM (1982) Simulation of microclimate. In: Hadtfield JL, Thompson IJ (eds). Biometeorology in Integrated Pest Management. New York: Academic Press.
67. Novick K, Oren R, Stoy P, et al. (2009) The relationship between reference canopy conductance and simplified hydraulic architecture. Adv Water Resour 32:809-19.
68. Ollinger SV, Richardson AD, Martin ME, et al. (2008) Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: functional relations and potential climate feedbacks. Proc Natl Acad Sci USA 105:19335-40.
69. Oren R, Sperry JS, Katul GG, et al. (1999) Survey and synthesis of intra- and interspecific variation in stomatal sensitivity to vapour pressure deficit. Plant Cell Environ 22:1515-26. (Pubitemid 30057160)
70. Pielke RA Sr, Avissar R, Raupach M, et al. (1998) Interactions between the atmosphere and terrestrial ecosystems: influence on weather and climate. Global Change Biol 4:461-75. (Pubitemid 28393153)
71. Pielke RA Sr, Lee TJ, Copeland JH, et al. (1997) Use of USGSprovided data to improve weather and climate simulations. Ecol Appl 7:3-21.
72. Pierce LL, Running SW, Walker J (1994) Regional-scale relationships of leaf area index to specific leaf area and leaf nitrogen content. Ecol Appl 4:313-21. (Pubitemid 2076168)
73. Pinker RT, Laszlo I (1992) Modeling surface solar irradiance for satellite applications on a global scale. J Appl Meteorol 31:194-211.
74. Popescu SC, Wynne RH, Nelson RF (2003) Measuring individual tree crown diameter with LiDAR and assessing its influence on - estimating forest volume and biomass. Can J Remote Sens 29:564-77.
75. Running SW (1994) Testing forest-BGC ecosystem process simulations across a climatic gradient in Oregon. Ecol Appl 4:238-47. (Pubitemid 2076157)
76. Running SW, Loveland T, Pierce L, et al. (1995) A remote sensing based vegetation classification logic for global land cover analysis.. Remote Sens Environ 51:39-48.
77. Running SW, Waring RH, Rydell RA (1975) Physiological control of water flux in conifers. Oecologia 18:1-16.
78. Ryan MG, Yoder BJ (1997) Hydraulic limits to tree height and tree growth. BioSci 47:235-42.
79. Sandholt I, Rasmussen K, Andersen J (2002) A simple interpretation of the surface/temperature/vegetation index space for assessment of surface moisture status. Remote Sens Environ 79:213-24. (Pubitemid 34067843)
80. Schultz GA (1996) Remote sensing applications to hydrology: runoff/ applications. Hydrol Sci J 41:453-75.
81. Schulze E, Kelliher FM, Korner C, et al. (1994) Relationships among maximum stomatal conductance, ecosystem surface conductance, carbon assimilation rate, and plant nitrogen nutrition: a global ecology scaling exercise. Annu Rev Ecol Syst 25:629-62.
82. Sellers PJ, Berry JA, Collatz GJ, et al. (1992) Canopy reflectance, photosynthesis, and transpiration. III. A reanalysis using improved leaf models and a new canopy integration scheme. Remote Sens Environ 42:187-216.
83. Slatyer RO, Morrow PA (1977) Altitudinal variation in photosynthetic characteristics of snow gum, Eucalyptus pauciflora Sieb. ex Spreng. I. Seasonal changes under field conditions in the Snowy Mountain area of south-eastern Australia. Austr J Bot 25:1-20.
84. Smith M-L, Ollinger SV, Martin ME, et al. (2002) Direct estimation of aboveground forest productivity through hyperspectral remote sensing of canopy nitrogen. Ecol Appl 12:1286-302. (Pubitemid 36516739)
85. Smith WK, Young DR, Carter GA, et al. (1984) Autumn stomatal closure in six conifer species of the Central Rocky Mountains. Oecologia 63:237-42. (Pubitemid 16276900)
86. Soares JV, Almeida AC (2001) Modeling the water balance and soil water fluxes in a fast growing Eucalyptus plantation in Brazil. J Hydrol 253:130-47. (Pubitemid 32996490)
87. Sperry JS (2000) Hydraulic constraints on plant gas exchange. Agric For Meteorol 104:13-23. (Pubitemid 30441977)
88. Stape JL, Binkley D, Jacobs WS (2006) A twin-plot approach to determine nutrient limitation and potential productivity in Eucalyptus plantations at landscape scales in Brazil. For Ecol Manage 223:358-62. (Pubitemid 43218630)
89. Strain BR, Higginbotham KO, Mulroy JC (1976) Temperature preconditioning and photosynthetic capacity of Pinus taeda L. Photosynthetica 10:47-53.
90. Sun G, Zhou G, Zhang Z, et al. (2006) Potential water yield reduction due to forestation across China. J Hydrol 328:548-58. (Pubitemid 44192543)
91. Sun OJ, Sweet GB, Whitehead D, Buchan GD (1995) Physiological responses to water stress and waterlogging in Nothofagus species. Tree Physiol 15:629-38.
92. Treuhaft RN, Chapman BD, dos Santos JR, et al. (2009) Vegetation profiles in tropical forests from multibaseline interferometric synthetic aperture radar, field, and lidar measurements. J Geophys Res 114:D23110.
93. Vertessy RA, Watson FGR, Sullivan SK (2001) Factors determining relations between stand age and catchment water balance in mountain ash forests. For Ecol Manage 143:13-26. (Pubitemid 32219324)
94. Walcroft AS, Silvester WB, Grace JC, et al. (1996) Effects of branch length on carbon isotope discrimination in Pinus radiata. Tree Physiol 16:281-6. (Pubitemid 126520753)
95. Wang J, White K, Robinson GJ (2000) Estimating surface net solar radiation by use of Landsat-5TM and digital elevation models. Remote Sens Environ 21:31-43. (Pubitemid 30098370)
96. Waring RH (2000) A process model analysis of environmental limitations on growth of Sitka spruce plantations in Great Britain. Forestry 73:65-79. (Pubitemid 30092003)
97. Waring RH, Cleary BD (1967) Plant moisture stress: evaluation by pressure bomb. Science 155:1248-54.
98. Waring RH, Coops NC, Landsberg JJ (2010) Improving predictions of forest growth using the 3-PGS model with observations made by remote sensing. For Ecol Manage 259:1722-9.
99. Waring RH, Franklin JF (1979) Evergreen coniferous forests of the Pacific Northwest. Science 204:1380-6.
100. Waring RH, Schroeder PE, Oren R (1982) Application of the pipe model theory to predict canopy leaf area. Can J For Res 12:556-60. (Pubitemid 13285269)
101. Waring RH, Silvester WB (1994) Variation in d13C values within the tree crowns of Pinus radiata. Tree Physiol 14:1203-13. (Pubitemid 2161191)
102. Waring RH, Way JB, Hunt R Jr, et al. (1995) Remote sensing with synthetic aperture radar in ecosystem studies. BioScience 45:715-23.
103. Way DA, Oren R (2010) Differential responses to changes in growth temperature between trees from different functional groups and biomes: a review and synthesis of data. Tree Physiol 30:669-88.
104. Whitley R, Medlyn B, Zeppel M, et al. (2009) Comparing the Penman- Monteith equation and a modified Jarvis-Stewart model with an artificial neural network to estimate stand-scale transpiration and canopy conductance. J Hydrol 373:256-373.
105. Zhao M, Running SW (2010) Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science 329:940-3.
106. Zhang Q, Middleton EM, Margolis HA, et al. (2009) Can a satellitederived estimate of the fraction of PAR absorbed by chlorophyl (FAPARchl) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal aspen forest? Remote Sens Environ 113:880-8.
107. Zhang Q, Xiao X, Brasell B, et al. (2005) Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model. Remote Sens Environ 99:357-71. (Pubitemid 41572632)