Evapotranspiration comparisons between eddy covariance measurements and meteorological and remote-sensing-based models in disturbed ponderosa pine forests

Ecohydrology

Volumn 8, Issue 7, 2015, Pages 1335-1350

  Ha, Wonsook ^a   Kolb, Thomas E ^a   Springer, Abraham E ^a   Dore, Sabina ^b   O'Donnell, Frances C ^a   Martinez Morales, Rodolfo ^a   Masek Lopez, Sharon ^a   Koch, George W ^a  

^a NORTHERN ARIZONA UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Eddy covariance; Evapotranspiration; Forest ecosystems; Latent heat; Moderate Resolution Imaging Spectroradiometer (MODIS); Ponderosa pine

Indexed keywords

BUDGET CONTROL; CONSERVATION; ECOSYSTEMS; EVAPOTRANSPIRATION; FORECASTING; LATENT HEAT; RADIOMETERS; REMOTE SENSING; RESTORATION; SPECTROMETERS;

DISTURBANCE HISTORY; EDDY COVARIANCE; EDDY COVARIANCE MEASUREMENTS; FOREST ECOSYSTEM; METEOROLOGICAL MODELS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; PONDEROSA PINE FOREST; PONDEROSA PINES;

FORESTRY;

CONIFEROUS TREE; EDDY COVARIANCE; EVAPOTRANSPIRATION; FOREST ECOSYSTEM; LATENT HEAT FLUX; LEAF AREA INDEX; MODIS; REMOTE SENSING; SATELLITE DATA; SPATIAL RESOLUTION;

ARIZONA; FLAGSTAFF; UNITED STATES;

EID: 84945276303     PISSN: 19360584     EISSN: 19360592     Source Type: Journal    
DOI: 10.1002/eco.1586     Document Type: Article

References (80)

1. Agee JK, Skinner CN. 2005. Basic principles of forest fuel reduction treatments. Forest Ecology and Management 211: 83-96.
2. Allen RG, Tasumi M, Morse A, Trezza R, Wright JL, Bastiaanssen W, Kramber W, Lorite I, Robinson CW. 2007. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-Applications. Journal of Irrigation and Drainage Engineering-ASCE 133: 395-406.
3. Amiro B. 2009. Measuring boreal forest evapotranspiration using the energy balance residual. Journal of Hydrology 366: 112-118.
4. Arain MA, Black TA, Barr AG, Griffis TJ, Morgenstern K, Nesic Z. 2003. Year-around observations of the energy and water vapour fluxes above a boreal black spruce forest. Hydrological Processes 17: 3581-3600.
5. Arora VK. 2002. Modeling vegetation as a dynamic component in soil-vegetation-atmosphere transfer schemes and hydrological models. Reviews of Geophysics 40: 1006. DOI: 10.1029/2001RG000103.
6. Aubinet M, Grelle A, Ibrom A, Rannik Ü, Moncrieff J, Foken T, Kowalski AS, Martin PH, Berbigier P, Bernhofer C, Clement R, Elbers J, Granier A, Grünwald T, Morgenstern K, Pilegaard K, Rebmann C, Snijders W, Valentini R, Vesala T. 2000. Estimates of the annual net carbon and water exchange of forests: The EUROFLUX methodology. Advances in Ecological Research 30: 113-175.
7. Baker, MB. 1986. Effects of ponderosa pine treatments on water yield in Arizona. Water Resources Research 22: 67-73. DOI: 10.1029/WR022i001p00067.
8. Bala G, Caldeira K, Wickett M, Phillips TJ, Lobell DB, Delire C, Mirin A. 2007. Combined climate and carbon-cycle effects of large-scale deforestation. Proceedings of the National Academy of Sciences of the United States of America 104: 6550-6555.
9. Baldocchi D, Ryu Y. 2011. A synthesis of forest evaporation fluxes - from days to years - as measured with eddy covariance. Forest Hydrology and Biogeochemistry, Levia DF, Carlyle-Moses D, Tanaka T (eds). Springer: Heidelberg, Germany; 101-115.
10. Baldocchi DD, Hicks BB, Meyers TP. 1988. Measuring biosphere-atmosphere exchanges of biologically related gases with micrometeorological methods. Ecology 69: 1331-1340.
11. Baldocchi D, Valentini R, Running S, Oechel W, Dahlman R. 1996. Strategies for measuring and modelling carbon dioxide and water vapour fluxes over terrestrial ecosystems. Global Change Biology 2: 159-168.
12. Barr AG, van der Kamp G, Black TA, McCaughey JH, Nesic Z. 2012. Energy balance closure at the BERMS flux towers in relation to the water balance of the White Gull watershed 1999-2009. Agricultural and Forest Meteorology 153: 3-13.
13. Bosch JM Hewlett JD. 1982. A review of catchment experiments to determine the effect of vegetation changes on water yield and evapotranspiration. Journal of Hydrology 55: 3-23.
14. Bright BC, Hicke JA, Meddens AJH. 2013. Effects of bark beetle-caused tree mortality on biogeochemical and biogeophysical MODIS products. Journal of Geophysical Research-Biogeosciences 118: 974-982. DOI: 10.1002/jgrg.20078.
15. Brown AE, Zhang L, McMahon TA, Western AW, Vertessy RA. 2005. A review of paired catchment studies for determining changes in water yield resulting from alterations in vegetation. Journal of Hydrology 310: 28-61.
16. Cienciala E, Running SW, Lindroth A, Grelle A, Ryan MG. 1998. Analysis of carbon and water fluxes from the NOPEX boreal forest: comparison of measurements with FOREST-BGC simulations. Journal of Hydrology 212-213: 62-78.
17. Cleugh HA, Leuning R, Mu Q, Running SW. 2007. Regional evaporation estimates from flux tower and MODIS satellite data. Remote Sensing of Environment 106: 285-304.
18. Costa MH, Biajoli MC, Sanches L, Malhado ACM, Hutyra LR, da Rocha HR, Aguiar RG, de Araújo AC. 2010. Atmospheric versus vegetation controls of Amazonian tropical rain forest evapotranspiration: Are the wet and seasonally dry rain forests any different? Journal of Geophysical Research 115: G04021. DOI: 10.1029/2009JG001179.
19. Covington WW, Fulé PZ, Moore MM, Hart SC, Kolb TE, Mast JN, Sackett SS, Wagner MR. 1997. Restoring ecosystem health in ponderosa pine forests of the Southwest. Journal of Forestry 95: 23-29.
20. De Lillis M, Federici FM. 1993. Gas exchange and resource-use patterns along a Mediterranean successional gradient. Journal of Vegetation Science 4: 269-272.
21. Dingman SL. 2002. Physical hydrology, 2nd edn. Waveland Press, Inc.: Long Grove, IL.
22. Domec J-C, Sun G, Noormets A, Gavazzi MJ, Treasure EA, Cohen E, Swenson JJ, McNulty SG, King JS. 2012. A comparison of three methods to estimate evapotranspiration in two contrasting loblolly pine plantations: Age-related changes in water use and drought sensitivity of evapotranspiration components. Forest Science 58: 497-512.
23. 2 exchange of a ponderosa pine forest. Global Change Biology 14: 1-20.
24. Dore S, Kolb TE, Montes-Helu M, Eckert SE, Sullivan BW, Hungate BA, Kaye JP, Hart SC, Koch GW, Finkral A. 2010. Carbon and water fluxes from ponderosa pine forests disturbed by wildfire and thinning. Ecological Applications 20: 663-683.
25. Dore S, Montes-Helu M, Hart SC, Hungate BA, Koch GW, Moon JB, Finkral AJ, Kolb TE. 2012. Recovery of ponderosa pine ecosystem carbon and water fluxes from thinning and stand-replacing fire. Global Change Biology 18: 3171-3185.
26. FAO (Food and Agricultural Organization of the United Nations). 2012. State of the world's forests 2012. UN FAO: Rome, Italy.
27. Federer CA, V r smarty CJ, Fekete B. 1996. Intercomparison of methods for calculating potential evaporation in regional and global water balance models. Water Resources Research 32: 2315-2321.
28. Finney MA, McHugh CW, Grenfell IC. 2005. Stand- and landscape-level effects of prescribed burning on two Arizona wildfires. Canadian Journal of Forest Research 35: 1714-1722.
29. Fisher JB, DeBiase TA, Qi Y, Xu M, Goldstein AH. 2005. Evapotranspiration models compared on a Sierra Nevada forest ecosystem. Environmental Modeling & Software 20: 783-796.
30. Flint AL, Childs SW. 1991. Use of the Priestley-Taylor evaporation equation for soil water limited conditions in a small forest clearcut. Agricultural and Forest Meteorology 56: 247-260.
31. Foken T. 2008. The energy balance closure problem: An overview. Ecological Applications 18: 1351-1367.
32. Friedl MA, McIver DK, Hodges JCF, Zhang XY, Muchoney D, Strahler AH, Woodcock CE, Gopal S, Schneider A, Cooper A, Baccini A, Gao F, Schaaf C. 2002. Global land cover mapping from MODIS: algorithms and early results. Remote Sensing of Environment 83: 287-302.
33. Gemmell F, Varjo J. 1999. Utility of reflectance model inversion versus two spectral indices for estimating biophysical characteristics in a boreal forest test site. Remote Sensing of Environment 68: 95-111.
34. Gordon WS, Famiglietti JS. 2004. Response of the water balance to climatic change in the United States over the 20th and 21st centuries: Results from the VEMAP Phase 2 model intercomparisons. Global Biogeochemical Cycles 18: GB1030. DOI: 10.1029/2003GB002098.
35. Goulden ML, Anderson RG, Bales RC, Kelly AE, Meadows M, and Winston GC. 2012. Evapotranspiration along an elevation gradient in California's Sierra Nevada. Journal of Geophysical Research 117: G03028. DOI: 10.1029/2012JG002027.
36. Heikkonen J, Varjo J. 2004. Forest change detection applying landsat thematic mapper difference features: A comparison of different classifiers in boreal forest conditions. Forest Science 50: 579-588.
37. Huxman TE, Wilcox BP, Breshears DD, Scott RL, Snyder KA, Small EE, Hultine K, Pockman WT, Jackson RB. 2005. Ecohydrological implications of woody plant encroachment. Ecology 86: 308-319.
38. Jackson RB, Anderson LJ, Pockman WT. 2000. Measuring water availability and uptake in ecosystem studies. Methods in Ecosystem Science, Sala OE, Jackson RB, Mooney HA, Howarth RW (eds). Springer: New York, NY, 199-214.
39. Jung M, Reichstein M, Ciais P, Seneviratne SI, Sheffield J, Goulden ML, Bonan G, Cescatti A, Chen J, de Jeu R, Dolman AJ, Eugster W, Gerten D, Gianelle D, Gobron N, Heinke J, Kimball J, Law BE, Montagnani L, Mu Q, Mueller B, Oleson K, Papale D, Richardson AD, Roupsard O, Running S, Tomelleri E, Viovy N, Weber U, Williams C, Wood E, Zaehle S, Zhang K. 2010. Recent decline in the global land evapotranspiration trend due to limited moisture supply. Nature 467: 951-954.
40. Krishnaswamy J, Bonell M, Venkatesh B, Purandara BK, Lele S, Kiran MC, Reddy V, Badiger S, Rakesh KN. 2012. The rain-runoff response of tropical humid forest ecosystems to use and reforestation in the Western Ghats of India. Journal of Hydrology 472-473: 216-237.
41. Lathuillière MJ, Johnson MS, Donner SD. 2012. Water use by terrestrial ecosystems: temporal variability in rainforest and agricultural contributions to evapotranspiration in Mato Grosso, Brazil. Environmental Research Letters 7: 024024.
42. Law BE, Waring RH, Anthoni PM, Aber JD. 2000. Measurements of gross and net ecosystem productivity and water vapor exchange of a Pinus ponderosa ecosystem, and an evaluation of two generalized models. Global Change Biology 6: 155-168.
43. Lucht W, Schaaf CB, Strahler AH. 2000. An Algorithm for the retrieval of albedo from space using semiempirical BRDF models. IEEE Transactions on Geoscience and Remote Sensing 38: 977-998.
44. McIver JD, Stephens SL, Agee JK, Barbour J, Boerner REJ, Edminster CB, Erickson KL, Farris KL, Fettig CJ, Fiedler CE, Haase S, Hart SC, Keeley JE, Knapp EE, Lehmkuhl JF, Moghaddas JJ, Otrosina W, Outcalt KW, Schwilk DW, Skinner CN, Waldrop TA, Weatherspoon CP, Yaussy DA, Youngblood A, Zack S. 2013. Ecological effects of alternative fuel-reduction treatments: highlights of the National Fire and Fire Surrogate study (FFS). International Journal of Wildland Fire 22: 63-82.
45. McNaughton KG, Black TA. 1973. A study of evapotranspiration from a Douglas fir forest using the energy balance approach. Water Resources Research 9: 1579-1590.
46. Moncrieff JB, Jarvis PG, Valentini R. 2000. Canopy fluxes. Methods in Ecosystem Science, Sala OE, Jackson RB, Mooney HA, Howarth RW (eds). Springer: New York, NY; 161-180.
47. Monteith JL. 1965. Evaporation and the environment. Symposium of the Society of Exploratory Biology 19: 205-234.
48. Montes-Helu MC, Kolb T, Dore S, Sullivan B, Hart SC, Koch G, Hungate BA. 2009. Persistent effects of fire-induced vegetation change on energy partitioning and evapotranspiration in ponderosa pine forests. Agricultural and Forest Meteorology 149: 491-500.
49. Morales P, Sykes MT, Prentice IC, Smith P, Smith B, Bugmann H, Zierl B, Friedlingstein P, Viovy N, Sabaté S, Sánchez A, Pla E, Gracia CA, Sitch S, Arneth A, Ogee J. 2005. Comparing and evaluating process-based ecosystem model predictions of carbon and water fluxes in major European forest biomes. Global Change Biology 11: 2211-2233.
50. Moreaux V, Lamaud É, Bosc A, Bonnefond J-M, Medlyn BE, Loustau D. 2011. Paired comparison of water, energy and carbon exchanges over two young maritime pine stands (Pinus pinaster Ait.): effects of thinning and weeding in the early stage of tree growth. Tree Physiology 31: 903-921.
51. Mu Q, Heinsch FA, Zhao M, Running SW. 2007. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment 111: 519-536.
52. Mu Q, Zhao M, Running SW. 2011. Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sensing of Environment 115: 1781-1800.
53. Myneni RB, Hoffman S, Knyazikhin Y, Privette JL, Glassy J, Tian Y, Wang Y, Song X, Zhang Y, Smith GR, Lotsch A, Friedl M, Morisette JT, Votava P, Nemani RR, Running SW. 2002. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment 83: 214-231.
54. Nagler PL, Cleverly J, Glenn E, Lampkin D, Huete A, Wan Z. 2005. Predicting riparian evapotranspiration from MODIS vegetation indices and meteorological data. Remote Sensing of Environment 94: 17-30.
55. Nobre CA, Sellers PJ, Shukla J. 1991. Amazonian deforestation and regional climate change. Journal of Climate 4: 957-988.
56. Olsson H. 1995. Reflectance calibration of thematic mapper data for forest change detection. International Journal of Remote Sensing 16: 81-96.
57. Penman HL. 1948. Natural evaporation from open water, bare soil and grass. Royal Society of London Series A-Mathematical and Physical Sciences 193: 120-146.
58. Priestley CHB, Taylor RJ. 1972. On the assessment of surface heat flux and evaporation using large scale parameters. Monthly Weather Review 100: 81-92.
59. R Core Team. 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing: Vienna, Austria. URL: http://www.R-project.org/.
60. Reba ML, Link RE, Marks D, Pomeroy J. 2009. An assessment of corrections for eddy covariance measured turbulent fluxes over snow in mountain environments. Water Resources Research 45: W00D38. DOI: 10.1029/2008WR007045.
61. Rogan J Franklin J. 2001. Mapping wildfire burn severity in southern California forests and shrublands using enhanced thematic mapper imagery. Geocarto International 16: 91-106.
62. Ruhoff AL, Paz AR, Collischonn W, Aragao LEOC, Rocha HR, Malhi YS. 2012. A MODIS-based energy balance to estimate evapotranspiration for clear-sky days in Brazillian tropical savannas. Remote Sensing 4: 703-725.
63. Saxton KE, Rawls WJ, Romberger JS, Papendick RI. 1986. Estimating generalized soil-water characteristics from texture. Soil Science Society of America Journal 50: 1031-1036.
64. Sheppard PR, Comrie AC, Packin GD, Angersbach K, Hughes MK. 2002. The climate of the US Southwest. Climatic Research 21: 219-238.
65. Shuttleworth WJ, Wallace JS. 1985. Evaporation from sparse crops-an energy combination theory. Quarterly Journal of the Royal Meteorological Society 111: 839-855.
66. Singh RK, Senay GB, Velpuri NM, Bohms S, Scott RL, Verdin JP. 2014. Actual evapotranspiration (Water Use) Assessment of the Colorado river basin at the Landsat resolution using the operational simplified surface energy balance model. Remote Sensing 6: 233-256.
67. Souza CM, Barreto P. 2000. An alternative approach for detecting and monitoring selectively logged forests in the Amazon. International Journal of Remote Sensing 21: 173-179.
68. Stednick JD. 1996. Monitoring the effects of timber harvest on annual water yield. Journal of Hydrology 176: 79-95.
69. Stewart JB. 1988. Modeling surface conductance of pine forest. Agricultural and Forest Meteorology 43: 19-35.
70. Sun G, McNulty SG, Amatya DM, Skaggs RW, Swift Jr. LW, Shepard JP, Riekerk H. 2002. A comparison of the watershed hydrology of coastal forested wetlands and the mountainous uplands in the Southern US. Journal of Hydrology 263: 92-104.
71. Trabucco A, Zomer RJ, Bossio DA, van Straaten O, Verchot LV. 2008. Climate change mitigation through afforestation/reforestation: A global analysis of hydrologic impacts with four case studies. Agriculture Ecosystems and Environment 126: 81-97.
72. Troendle CA. 1983. The potential for water yield augmentation from forest management in the Rocky-Mountain Mountain Region. Water Resources Bulletin 19: 359-373.
73. Twine TE, Kustas WP, Norman JM, Cook DR, Houser PR, Meyers TP, Prueger JH, Starks PJ, Wesely ML. 2000. Correcting eddy-covariance flux underestimates over a grassland. Agricultural and Forest Meteorology 103: 279-300.
74. Ueyama M, Ichii K, Hirata R, Takagi K, Asanuma J, Machimura T, Nakai Y, Ohta T, Saigusa N, Takahashi Y, Hirano T. 2010. Simulating carbon and water cycles of larch forests in East Asia by the BIOME-BGC model with AsiaFlux data. Biogeosciences 7: 959-977.
75. USDA Forest Service. 2012. 4FRI Draft Environmental Impact Statement Chapter 1. pp. 75 Retrieved 14 February 2013. URL: http://www.fs.usda.gov/detail/4fri/planning/?cid=stelprdb5408763. Accessed December 2013.
76. Varjo J. 1997. Change detection and controlling forest information using multitemporal Landsat TM imagery. Acta Forestalia Fennica 258: 1-64.
77. Vickers D, Thomas CK, Pettijohn C, Martin JG, Law B. 2012. Five years of carbon fluxes and inherent water-use efficiency at two semi-arid pine forests with different disturbance histories. Tellus Series B-Chemical and Physical Meteorology 64: 17159. DOI: 10.3402/tellusb.v64i0.17159.
78. Wan Z. 2008. New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products. Remote Sensing of Environment 112: 59-74.
79. Wilson KB, Hanson PJ, Mulholland PJ, Baldocchi DD, and Wullschleger SD. 2001. A comparison of methods for determining forest evapotranspiration and its components: sap-flow, soil water budget, eddy covariance and catchment water balance. Agricultural and Forest Meteorology 106: 153-168.
80. Yuan WP, Liu SG, Yu GR, Bonnefond JM, Chen JQ, Davis K, Desai AR, Goldstein AH, Gianelle D, Rossi F, Suyker AE, Verma SB. 2010. Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data. Remote Sensing of Environment 114: 1416-1431.