Evaluation of MODIS-based estimates of water-use efficiency in Amazonia

References

• Almeida, C. A. , A. C. Coutinho , J. C. Esquerdo , M. Adami , A. Venturieri , C. Diniz , N. Dessay , L. Durieux , and A. R. Gomes . 2016. “High Spatial Resolution Land Use and Land Cover Mapping of the Brazilian Legal Amazon in 2008 Using Landsat-5/Tm and MODIS Data.” Acta Amazonica 46 (3): 291–302. doi:10.1590/1809-4392201505504.
   Web of Science ®Google Scholar
• Baldocchi, D. D. , and K. B. Wilson . 2001. “Modeling CO2 and Water Vapor Exchange of a Temperate Broadleaved Forest across Hourly to Decadal Time Scales.” Ecological Modelling 142 (1–2): 155–184. doi:10.1016/s0304-3800(01)00287-3.
   Web of Science ®Google Scholar
• Beer, C. , P. Ciais , M. Reichstein , D. Baldocchi , B. E. Law , D. Papale , and J. ‐. F. Soussana . 2009. “Temporal and Among-Site Variability of Inherent Water Use Efficiency at the Ecosystem Level.” Global Biogeochemical Cycles 23 (2): 1–13. doi:10.1029/2008gb003233.
   Web of Science ®Google Scholar
• Brunsell, N. A. , J. B. Nippert , and T. L. Buck . 2014. “Impacts of Seasonality and Surface Heterogeneity on Water-Use Efficiency in Mesic Grasslands.” Ecohydrology 7 (4): 1223–1233. doi:10.1002/eco.1455.
   Web of Science ®Google Scholar
• Burrows, C. J. 1990. Processes of Vegetation Change . Netherlands: Springer. doi:10.1007/978-94-011-3058-5_11.
   Google Scholar
• Bush, M. B. 2017. “Climate Science: The Resilience of Amazonian Forests.” Nature 541 (7636): 167–168. doi:10.1038/541167a.
   PubMed Web of Science ®Google Scholar
• Christoffersen, B. O. , N. Restrepo-Coupe , M. Arain , I. Baker , B. Cestaro , P. Ciais , J. B. Fisher , et al. 2014. “Mechanisms of Water Supply and Vegetation Demand Govern the Seasonality and Magnitude of Evapotranspiration in Amazonia and Cerrado.” Agricultural and Forest Meteorology 191 (2014): 33–50. doi:10.1016/j.agrformet.2014.02.008.
   Web of Science ®Google Scholar
• Coutinho, A. C. , C. Almeida , A. Venturieri , J. C. D. M. Esquerdo , and M. Silva . 2013. Land Use and Land Cover in Deforested Areas of Brazilian Legal Amazon: Terraclass 2008” . Brasilia: Livros científicos.
   Google Scholar
• Dang, Y. , W. Ren , B. Tao , G. Chen , C. Lu , J. Yang , S. Pan , G. Wang , S. Li , and H. Tian . 2014. “Climate and Land Use Controls on Soil Organic Carbon in the Loess Plateau Region of China.” PLoS One 9 (5): 1–11. doi:10.1371/journal.pone.0095548.
   Web of Science ®Google Scholar
• Davidson, E. A. , A. C. De Araújo , P. Artaxo , J. K. Balch , I. F. Brown , M. Bustamante , and M. T. Coe . 2012. “The Amazon Basin in Transition.” Nature 481 (7381): 321–328. doi:10.1038/nature10717.
   PubMed Web of Science ®Google Scholar
• De Oliveira, G. , N. A. Brunsell , E. C. Moraes , G. Bertani , T. V. Dos Santos , Y. E. Shimabukuro , and L. E. O. C. Aragão . 2016. “Use of MODIS Sensor Images Combined with Reanalysis Products to Retrieve Net Radiation in Amazonia.” Sensors 16 (7): 1–28. doi:10.3390/s16070956.
   Web of Science ®Google Scholar
• Doughty, C. E. , D. B. Metcalfe , C. Girardin , F. Amezquita , L. Durand , W. Huasco , and J. E. Silva‐Espejo . 2015. “Source and Sink Carbon Dynamics and Carbon Allocation in the Amazon Basin.” Global Biogeochemical Cycles 29 (5): 645–655. doi:10.1002/2014gb005028.
   Web of Science ®Google Scholar
• Drewry, D. T. , P. Kumar , S. Long , C. Bernacchi , X. Liang , and M. Sivapalan . 2010. “Ecohydrological Responses of Dense Canopies to Environmental Variability: 1. Interplay between Vertical Structure and Photosynthetic Pathway.” Journal of Geophysical Research: Biogeosciences 115 (G4): 1–25. doi:10.1029/2010jg001340.
   Web of Science ®Google Scholar
• Eidt, R. C. 1968. “The Climatology of South América.” In Biogegraphy and Ecology in South America , edited by E. J. Fittkau , J. Illies , H. Klinge , G. H. Schwabe , and H. Sioli , 54–81. Netherlands: Springer. doi:10.1007/978-94-011-9731-1_3.
   Google Scholar
• El-Masri, B. , R. Barman , P. Meiyappan , Y. Song , M. Liang , and A. K. Jain . 2013. “Carbon Dynamics in the Amazonian Basin: Integration of Eddy Covariance and Ecophysiological Data with a Land Surface Model.” Agricultural and Forest Meteorology 182-183: 156–167. doi:10.1016/j.agrformet.2013.03.011.
   Web of Science ®Google Scholar
• Farquhar, G. D. , M. H. O’Leary , and J. A. Berry . 1982. “On the Relationship between Carbon Isotope Discrimination and the Intercellular Carbon Dioxide Concentration in Leaves.” Functional Plant Biology 9 (2): 121–137. doi:10.1071/pp9820121.
   Web of Science ®Google Scholar
• Heinsch, F. A. , M. Zhao , S. W. Running , J. S. Kimball , R. R. Nemani , K. J. Davis , and P. V. Bolstad . 2006. “Evaluation of Remote Sensing Based Terrestrial Productivity from MODIS Using Regional Tower Eddy Flux Network Observations.” IEEE Transactions on Geoscience and Remote Sensing 44 (7): 1908–1925. doi:10.1109/tgrs.2005.853936.
   Web of Science ®Google Scholar
• Huang, M. , S. Piao , T. Sun , P. Ciais , L. Cheng , J. Mao , B. Poulter , X. Shi , Z. Zeng , and Y. Wang . 2015. “Change in Terrestrial Ecosystem Water‐Use Efficiency over the Last Three Decades.” Global Change Biology 21 (6): 2366–2378. doi:10.1111/gcb.12873.
   PubMed Web of Science ®Google Scholar
• Hunter, M. O. , M. Keller , D. Victoria , and D. C. Morton . 2013. “Tree Height and Tropical Forest Biomass Estimation.” Biogeosciences 10 (12): 8385–8399. doi:10.5194/bgd-10-10491-2013.
   Web of Science ®Google Scholar
• Hutyra, L. R. , J. W. Munger , S. R. Saleska , E. Gottlieb , B. C. Daube , A. L. Dunn , D. F. Amaral , P. B. De Camargo , and S. C. Wofsy . 2007. “Seasonal Controls on the Exchange of Carbon and Water in an Amazonian Rain Forest.” Journal of Geophysical Research: Biogeosciences 112 (G3): 1–16. doi:10.1029/2006jg000365.
   Web of Science ®Google Scholar
• Ito, A. , and M. Inatomi . 2012. “Water-Use Efficiency of the Terrestrial Biosphere: A Model Analysis Focusing on Interactions between the Global Carbon and Water Cycles.” Journal of Hydrometeorology 13 (2): 681–694. doi:10.1175/jhm-d-10-05034.1.
   Web of Science ®Google Scholar
• Kanniah, K. D. , J. Beringer , L. B. Hutley , N. J. Tapper , and X. Zhu . 2009. “Evaluation of Collections 4 and 5 of the MODIS Gross Primary Productivity Product and Algorithm Improvement at a Tropical Savanna Site in Northern Australia.” Remote Sensing of Environment 113 (9): 1808–1822. doi:10.1016/j.rse.2009.04.013.
   Web of Science ®Google Scholar
• Khanna, J. , D. S. Fueglistaler , and R. Walko . 2017. “Regional Dry-Season Climate Changes Due to Three Decades of Amazonian Deforestation.” Nature Climate Change 7 (3): 200–204. doi:10.1038/nclimate3226.
   Web of Science ®Google Scholar
• Krinner, G. , N. Viovy , N. de Noblet‐Ducoudré , J. Ogée , J. Polcher , P. Friedlingstein , P. Ciais , S. Sitch , and I. C. Prentice . 2005. “A Dynamic Global Vegetation Model for Studies of the Coupled Atmosphere-Biosphere System.” Global Biogeochemical Cycles 19 (1): 1–33. doi:10.1029/2003gb002199.
   Web of Science ®Google Scholar
• Lambin, E. F. , H. J. Geist , and E. Lepers . 2003. “Dynamics of Land-Use and Land-Cover Change in Tropical Regions.” Annual Review of Environment and Resources 28 (1): 205–241. doi:10.1146/annurev.energy.28.050302.105459.
   Web of Science ®Google Scholar
• Lee, J. , C. Frankenberg , C. van der Tol , J. A. Berry , L. Guanter , C. K. Boyce , and J. B. Fisher . 2013. “Forest Productivity and Water Stress in Amazonia: Observations from GOSAT Chlorophyll Fluorescence.” Proceedings of the Royal Society of London B: Biological Sciences 280 (1761): 1–9. doi:10.1098/rspb.2013.0171.
   Web of Science ®Google Scholar
• Liu, Z. , Q. Shao , and J. Liu . 2015. “The Performances of MODIS-GPP And-Et Products in China and Their Sensitivity to Input Data (FPAR/LAI).” Remote Sensing 7 (1): 135–152. doi:10.3390/rs7010135.
   Web of Science ®Google Scholar
• Lu, X. , and Q. Zhuang . 2010. “Evaluating Evapotranspiration and Water-Use Efficiency of Terrestrial Ecosystems in the Conterminous United States Using MODIS and Ameriflux Data.” Remote Sensing of Environment 114 (9): 1924–1939. doi:10.1016/j.rse.2010.04.001.
   Web of Science ®Google Scholar
• Malhi, Y. , E. Pegoraro , A. D. Nobre , M. G. P. Pereira , J. Grace , A. D. Culf , and R. Clement . 2002. “Energy and Water Dynamics of a Central Amazonian Rain Forest.” Journal of Geophysical Research: Atmospheres 107 (D20): 1–17. doi:10.1029/2001jd000623.
   Web of Science ®Google Scholar
• Monteith, J. L. 1965. “Evaporation and Environment.” In Symposia of the Society for Experimental Biology , edited by G. E. Fogg , 205–234. New York: Academic Press.
   Google Scholar
• Monteith, J. L. 1972. “Solar Radiation and Productivity in Tropical Ecosystems.” Journal of Applied Ecology 9 (3): 747–766. doi:10.2307/2401901.
   Web of Science ®Google Scholar
• Mu, Q. , M. Zhao , and S. W. Running . 2011. “Improvements to a MODIS Global Terrestrial Evapotranspiration Algorithm.” Remote Sensing of Environment 115 (8): 1781–1800. doi:10.1016/j.rse.2011.02.019.
   Web of Science ®Google Scholar
• Numata, I. , K. Khand , J. Kjaersgaard , M. A. Cochrane , and S. S. Silva . 2017. “Evaluation of Landsat-Based METRIC Modeling to Provide High-Spatial Resolution Evapotranspiration Estimates for Amazonian Forests.” Remote Sensing 9 (1): 1–19. doi:10.3390/rs9010046.
   Web of Science ®Google Scholar
• Parazoo, N. C. , K. Bowman , C. Frankenberg , J. Lee , J. B. Fisher , J. Worden , D. Jones , et al. 2013. “Interpreting Seasonal Changes in the Carbon Balance of Southern Amazonia Using Measurements of XCO2 and Chlorophyll Fluorescence from GOSAT.” Geophysical Research Letters 40 (11): 2829–2833. doi:10.1002/grl.50452.
   Web of Science ®Google Scholar
• Ramoelo, A. , N. Majozi , R. Mathieu , N. Jovanovic , A. Nickless , and S. Dzikiti . 2014. “Validation of Global Evapotranspiration Product (MOD16) Using Flux Tower Data in the African Savanna, South Africa.” Remote Sensing 6 (8): 7406–7423. doi:10.3390/rs6087406.
   Web of Science ®Google Scholar
• Restrepo-Coupe, N. , H. R. da Rocha , L. R. Hutyra , A. C. da Araujo , L. S. Borma , B. Christoffersen , and O. Cabral . 2013. “What Drives the Seasonality of Photosynthesis across the Amazon Basin? A Cross-Site Analysis of Eddy Flux Tower Measurements from the Brasil Flux Network.” Agricultural and Forest Meteorology 182: 128–144. doi:10.1016/j.agrformet.2013.04.031.
   Web of Science ®Google Scholar
• Rocha, H. R. , M. L. Goulden , S. D. Miller , M. C. Menton , L. Pinto , H. C. de Freitas , and A. M. Figueira . 2004. “Seasonality of Water and Heat Fluxes over a Tropical Forest in Eastern Amazonia.” Ecological Applications 14 (sp4): 22-32. doi:10.1890/02-6001.
   Web of Science ®Google Scholar
• Ruhoff, A. L. 2011. “Remote sensing applied to estimation of evapotranspiration in tropical biomes.” PhD diss., Federal University of Rio Grande do Sul.
   Google Scholar
• Ruhoff, A. L. , A. R. Paz , L. E. O. C. Aragao , Q. Mu , Y. Malhi , W. Collischonn , H. R. Rocha , and S. W. Running . 2013. “Assessment of the MODIS Global Evapotranspiration Algorithm Using Eddy Covariance Measurements and Hydrological Modelling in the Rio Grande Basin.” Hydrological Sciences Journal 58 (8): 1658–1676. doi:10.1080/02626667.2013.837578.
   Web of Science ®Google Scholar
• Salati, E. 1984. “Climatology of the Amazon Region.” In The Amazon , edited by H. Sioli , 85–126. Netherlands: Springer. doi:10.1007/978-94-009-6542-3_4.
   Google Scholar
• Saleska, S. R. , S. D. Miller , D. M. Matross , M. L. Goulden , S. C. Wofsy , H. R. da Rocha , and P. B. de Camargo . 2003. “Carbon in Amazon Forests: Unexpected Seasonal Fluxes and Disturbance-Induced Losses.” Science 302 (5650): 1554–1557. doi:10.1126/science.1091165.
   PubMed Web of Science ®Google Scholar
• Shuttleworth, W. J. 1988. “Evaporation from Amazonian Rainforest.” Proceedings of the Royal Society of London B: Biological Sciences 233 (1272): 321–346. doi:10.1098/rspb.1988.0024.
   Web of Science ®Google Scholar
• Silver, W. L. , R. Ostertag , and A. E. Lugo . 2000. “The Potential for Carbon Sequestration through Reforestation of Abandoned Tropical Agricultural and Pasture Lands.” Restoration Ecology 8 (4): 394–407. doi:10.1046/j.1526-100x.2000.80054.x.
   Web of Science ®Google Scholar
• Sjöström, M. , M. Zhao , S. Archibald , A. Arneth , B. Cappelaere , U. Falk , and A. De Grandcourt . 2013. “Evaluation of MODIS Gross Primary Productivity for Africa Using Eddy Covariance Data.” Remote Sensing of Environment 131: 275–286. doi:10.1016/j.rse.2012.12.023.
   Web of Science ®Google Scholar
• Tang, X. , H. Li , A. R. Desai , Z. Nagy , J. Luo , T. E. Kolb , and A. Olioso . 2014. “How Is Water-Use Efficiency of Terrestrial Ecosystems Distributed and Changing on Earth?” Scientific Reports 4: 1–11. doi:10.1038/srep07483.
   Web of Science ®Google Scholar
• Von Randow, C. , A. O. Manzi , B. Kruijt , P. J. De Oliveira , F. B. Zanchi , R. L. Silva , and M. G. Hodnett . 2004. “Comparative Measurements and Seasonal Variations in Energy and Carbon Exchange over Forest and Pasture in South West Amazonia.” Theoretical and Applied Climatology 78 (1–3): 5–26. doi:10.1007/s00704-004-0041-z.
   Web of Science ®Google Scholar
• Wang, W. , J. Xiao , S. V. Ollinger , A. R. Desai , J. Chen , and A. Noormets . 2014. “Quantifying the Effects of Harvesting on Carbon Fluxes and Stocks in Northern Temperate Forests.” Biogeosciences 11 (23): 6667–6682. doi:10.5194/bg-11-6667-2014.
   Web of Science ®Google Scholar
• Wang, X. , M. Ma , X. Li , Y. Song , J. Tan , G. Huang , and Z. Zhang . 2013. “Validation of MODIS-GPP Product at 10 Flux Sites in Northern China.” International Journal of Remote Sensing 34 (2): 587–599. doi:10.1080/01431161.2012.715774.
   Web of Science ®Google Scholar
• Wehr, R. , R. Commane , J. W. Munger , J. B. McManus , D. D. Nelson , M. S. Zahniser , S. R. Saleska , and S. C. Wofsy . 2017. “Dynamics of Canopy Stomatal Conductance, Transpiration, and Evaporation in a Temperate Deciduous Forest, Validated by Carbonyl Sulfide Uptake.” Biogeosciences 14 (2): 389–401. doi:10.5194/bg-14-389-2017.
   Web of Science ®Google Scholar
• Wu, J. , K. Guan , M. Hayek , N. Restrepo‐Coupe , K. T. Wiedemann , X. Xu , R. Wehr , et al. 2016. “Partitioning Controls on Amazon Forest Photosynthesis between Environmental and Biotic Factors at Hourly to Interannual Timescales.” Global Change Biology 23 (3): 1240–1257. doi:10.1111/gcb.13509.
   PubMed Web of Science ®Google Scholar
• Xiao, J. , G. Sun , J. Chen , H. Chen , S. Chen , G. Dong , and S. Gao . 2013. “Carbon Fluxes, Evapotranspiration, and Water Use Efficiency of Terrestrial Ecosystems in China.” Agricultural and Forest Meteorology 182: 76–90. doi:10.1016/j.agrformet.2013.08.007.
   Web of Science ®Google Scholar
• Xiao, X. , Q. Zhang , B. Braswell , S. Urbanski , S. Boles , S. Wofsy , B. Moore , and D. Ojima . 2004. “Modeling Gross Primary Production of Temperate Deciduous Broadleaf Forest Using Satellite Images and Climate Data.” Remote Sensing of Environment 91 (2): 256–270. doi:10.1016/j.rse.2004.03.010.
   Web of Science ®Google Scholar
• Xue, B. L. , Q. Guo , A. Otto , J. Xiao , S. Tao , and L. Li . 2015. “Global Patterns, Trends, and Drivers of Water Use Efficiency from 2000 to 2013.” Ecosphere 6 (10): 1–18. doi:10.1890/es14-00416.1.
   Web of Science ®Google Scholar
• Yang, J. , P. Gong , R. Fu , M. Zhang , J. Chen , S. Liang , B. Xu , J. Shi , and R. Dickinson . 2013. “The Role of Satellite Remote Sensing in Climate Change Studies.” Nature Climate Change 3 (10): 875–883. doi:10.1038/nclimate2033.
   Web of Science ®Google Scholar
• Yang, Y. , H. Guan , O. Batelaan , T. R. McVicar , D. Long , S. Piao , W. Liang , B. Liu , Z. Jin , and C. T. Simmons . 2016. “Contrasting Responses of Water Use Efficiency to Drought across Global Terrestrial Ecosystems.” Scientific Reports 6: 1–8. doi:10.1038/srep23284.
   PubMed Web of Science ®Google Scholar
• Yu, G. , X. Song , Q. Wang , Y. Liu , D. Guan , J. Yan , X. Sun , L. Zhang , and X. Wen . 2008. “Water‐Use Efficiency of Forest Ecosystems in Eastern China and Its Relations to Climatic Variables.” New Phytologist 177 (4): 927–937. doi:10.1111/j.1469-8137.2007.02316.x.
   PubMed Web of Science ®Google Scholar
• Zhang, L. , J. Tian , H. He , X. Ren , X. Sun , G. Yu , Q. Lu , and L. Lv . 2015. “Evaluation of Water Use Efficiency Derived from MODIS Products against Eddy Variance Measurements in China.” Remote Sensing 7 (9): 11183–11201. doi:10.3390/rs70911183.
   Web of Science ®Google Scholar
• Zhang, Q. , Y. Cheng , A. I. Lyapustin , Y. Wang , X. Xiao , A. Suyker , S. Verma , B. Tan , and E. M. Middleton . 2014. “Estimation of Crop Gross Primary Production (GPP): I. Impact of MODIS Observation Footprint and Impact of Vegetation BRDF Characteristics.” Agricultural and Forest Meteorology 191: 51–63. doi:10.1016/j.agrformet.2014.02.002.
   Web of Science ®Google Scholar
• Zhao, M. , F. A. Heinsch , R. R. Nemani , and S. W. Running . 2005. “Improvements of the MODIS Terrestrial Gross and Net Primary Production Global Data Set.” Remote Sensing of Environment 95 (2): 164–176. doi:10.1016/j.rse.2004.12.011.
   Web of Science ®Google Scholar
• Zhao, M. , S. W. Running , and R. R. Nemani . 2006. “Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) Terrestrial Primary Production to the Accuracy of Meteorological Reanalyses.” Journal of Geophysical Research: Biogeosciences 111 (G1): 1–13. doi:10.1029/2004jg000004.
   Web of Science ®Google Scholar