[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Springer Nature Link
Log in

Examination of seasonal water and carbon dynamics in eastern Amazonia: a comparison of Noah-MP and MODIS

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

The Amazon region of Brazil is a vitally important region for water and carbon cycling both for the region and the globe. This region is experiencing the impacts of global climate change as well as local land cover changes. Here, we investigated water and carbon estimates and related remotely sensed variables from both MODIS satellite and the Noah-MP land surface model for 3 years (2015–2017) in the state of Mato Grosso, Brazil. Land surface temperature agrees well between MODIS and the model, while the leaf area index (LAI) is higher in the model simulations. The monthly evapotranspiration (ET) from MODIS (MOD16A2) and gross primary productivity (GPP, MOD17A2) were lower than, but well correlated with, the model simulations. A noticeable exception was in the Broadleaf Forest class, which accounts for approximately 50% of the land cover in the state, where the modeled LAI was out of phase with the satellite observations, resulting in significantly poorer performance in the water and carbon fluxes for that land cover class. In addition, we investigated the sensitivity of the ET and GPP to precipitation forcing. The modeled ET relationships show correlations of approximately 0.6 for all classes (Broadleaf Forest being the exception, 0.24), while the MODIS shows reduced values averaging about 0.5 (Broadleaf Forest = 0.03). The slopes of the relationships illustrated the same sensitivity between MODIS and Noah-MP with the exception of Grasslands and Open Shrublands. The GPP relationships with precipitation show lower correlations across all land cover types for both MODIS and Noah-MP, with the slopes being significantly different for the Open Shrublands and Broadleaf Forest classes. In each of these classes, the Noah-MP simulations resulted in increased sensitivity to precipitation than was observed in the MODIS products. We highlight that this comparison is essential for increasing our understanding of how these different sources estimate water and carbon cycling and can be utilized for assessing the impacts of climate and land cover change in the region.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Allen CD, Breshears DD, McDowell NG (2015) On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene. Ecosphere 6:1–55

    Google Scholar 

  • Aragão LEO, Shimabukuro YE, Espírito-Santo FD, Williams M (2005) Spatial validation of the collection 4 MODIS LAI product in Eastern Amazonia. IEEE Trans Geosci Remote Sens 43:2526–2534

    Google Scholar 

  • Aragão LEOC, Malhi Y, Roman-Cuesta RM, Saatchi S, Anderson LO, Shimabukuro YE (2007) Spatial patterns and fire response of recent Amazonian droughts. Geophys Res Lett 34:948–5

    Google Scholar 

  • Aragão LEOC, Malhi Y, Barbier N, Lima A, Shimabukuro Y, Anderson L, Saatchi S (2008) Interactions between rainfall, deforestation and fires during recent years in the Brazilian Amazonia. Philos Trans R Soc Lond Seri B: Biol Sci 363:1779–1785

    Google Scholar 

  • Beer C, Ciais P, Reichstein M, Baldocchi D, Law BE, Papale D, Soussana JF, Ammann C, Buchmann N, Frank D, et al (2009) Temporal and among-site variability of inherent water use efficiency at the ecosystem level. Glob Biogeochem Cycles 23

  • Borma LDS, Da Rocha HR, Cabral OM, von Randow C, Collicchio E, Kurzatkowski D, Brugger PJ, Freitas H, Tannus R, Oliveira L, et al (2009) Atmosphere and hydrological controls of the evapotranspiration over a floodplain forest in the Bananal Island region, Amazonia. J Geophys Res: Biogeosci 114

  • Brando PM, Balch JK, Nepstad DC, Morton DC, Putz FE, Coe MT, Silvério D, Macedo MN, Davidson EA, Nóbrega CC, et al (2014) Abrupt increases in Amazonian tree mortality due to drought–fire interactions. Proc Natl Acad Sci 201305499

  • Breshears DD, Cobb NS, Rich PM, Price KP, Allen CD, Balice RG, Romme WH, Kastens JH, Floyd ML, Belnap J, et al (2005) Regional vegetation die-off in response to global-change-type drought. Proc Natl Acad Sci 102:15144–15148

    Google Scholar 

  • Bush MB (2017) Climate science: the resilience of Amazonian forests. Nature 541:167

    Google Scholar 

  • Chen X, Maignan F, Viovy N, Bastos A, Goll D, Wu J, Liu L, Yue C, Peng S, Yuan W, da Conceição AC (2020) Novel representation of leaf phenology improves simulation of Amazonian evergreen forest photosynthesis in a land surface model. J Adv Model Earth Syst 12:e2018MS001565

    Google Scholar 

  • Christoffersen B O, Brando PM, Deegan LA, Restrepo-Coupe N, Arain M A, Baker I T, Cestaro B P, Ciais P, Fisher J B et al (2014) Mechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and Cerrado. Agric For Meteorol 191:33–50

    Google Scholar 

  • Coe MT, Brando PM, Deegan LA, Macedo MN, Neill C, Silvério DV (2016) The forests of the Amazon and Cerrado moderate regional climate and are the key to the future. Trop Conserv Sci 10:194008291772067–6

    Google Scholar 

  • Costa MH, Botta A, Cardille JA (2003) Effects of large-scale changes in land cover on the discharge of the Tocantins River, Southeastern Amazonia. J Hydrol 283:206–217

    Google Scholar 

  • da Rocha HR, Goulden ML, Miller SD, Menton MC, Pinto LDVO, de Freitas HC, Figueira AMES (2004) Seasonality of water and heat fluxes over a tropical forest in Eastern Amazonia. Ecol Appl 14:22–32

    Google Scholar 

  • Davidson EA, de Araújo AC, Artaxo P, Balch JK, Brown IF, Bustamante MM, Coe MT, DeFries RS, Keller M, Longo M et al (2012) The Amazon basin in transition. Nature 481:321

    Google Scholar 

  • de Oliveira G, Brunsell NA, Moraes EC, Shimabukuro YE, Bertani G, dos Santos TV, Aragão LE (2017) Evaluation of MODIS-based estimates of water-use efficiency in Amazonia. Int J Remote Sens 38:5291–5309

    Google Scholar 

  • de Oliveira G, Brunsell NA, Moraes EC, Shimabukuro YE, Mataveli GA, dos Santos TV, von Randow C, Aragão LE (2018) Methods to evaluate land-atmosphere exchanges in Amazonia based on satellite imagery and ground measurements. In: Tropical forests-new edition. https://doi.org/10.5772/intechopen.75194. IntechOpen

  • Doughty CE, Metcalfe DB, Girardin CAJ, Amézquita FF, Cabrera DG, Huasco WH, Silva-Espejo JE, Araujo-Murakami A, da Costa MC, Rocha W, Feldpausch TR, Mendoza ALM, da Costa ACL, Meir P, Phillips OL, Malhi Y (2015) Drought impact on forest carbon dynamics and fluxes in Amazonia. Nature 519:78–82

    Google Scholar 

  • Duffy PB, Brando P, Asner GP, Field CB (2015) Projections of future meteorological drought and wet periods in the Amazon. Proc Natl Acad Sci USA 112:13172–13177

    Google Scholar 

  • Fang Y, Leung LR, Duan Z, Wigmosta MS, Maxwell RM, Chambers JQ, Tomasella J (2017) Influence of landscape heterogeneity on water available to tropical forests in an Amazonian catchment and implications for modeling drought response. J Geophys Res-Atmos 122:8410–8426

    Google Scholar 

  • Friedl MA, Sulla-Menashe D, Tan B, Schneider A, Ramankutty N, Sibley A, Huang X (2010) MODIS Collection 5 global land cover: algorithm refinements and characterization of new datasets. Remote Sens Environ 114:168–182

    Google Scholar 

  • Garcia ES, Swann AL, Villegas JC, Breshears DD, Law DJ, Saleska SR, Stark SC (2016) Synergistic ecoclimate teleconnections from forest loss in different regions structure global ecological responses. PLoS ONE 11:e0165042

    Google Scholar 

  • Gatti LV, Gloor M, Miller JB, Doughty CE, Malhi Y, Domingues LG, Basso LS, Martinewski A, Correia CSC, Borges VF, Freitas S, Braz R, Anderson LO, Rocha H, Grace J, Phillips OL, Lloyd J (2014) Drought sensitivity of Amazonian carbon balance revealed by atmospheric measurements. Nature 506:76–80

    Google Scholar 

  • Gomis-Cebolla J, Jimenez J C, Sobrino J A, Corbari C, Mancini M (2019) Intercomparison of remote-sensing based evapotranspiration algorithms over amazonian forests. Int J Appl Earth Obs Geoinformation 80:280–294

    Google Scholar 

  • Hayek MN, Longo M, Wu J, Smith MN, Restrepo-Coupe N, Tapajós R, da Silva R, Fitzjarrald DR, Camargo PB, Hutyra LR, Alves LF, Daube B, Munger JW, Wiedemann KT, Saleska SR, Wofsy SC (2018) Carbon exchange in an Amazon forest: from hours to years. Biogeosciences 15:4833–4848

    Google Scholar 

  • Hengl T, Heuvelink GB, Tadić MP, Pebesma EJ (2012) Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images. Theoret Appl Climatol 107:265–277

    Google Scholar 

  • Huete AR, Didan K, Shimabukuro YE, Ratana P, Saleska SR, Hutyra LR, Yang W, Nemani RR, Myneni R (2006) Amazon rainforests green-up with sunlight in dry season. Geophys Res Lett 33

  • Huete A, Didan K, van Leeuwen W, Miura T, Glenn E (2010) MODIS vegetation indices. In: Land remote sensing and global environmental change. Springer, pp 579–602

  • Hutyra LR, Munger JW, Saleska SR, Gottlieb E, Daube BC, DUNN AL, Amaral DF, de Camargo PB, Wofsy SC (2007) Seasonal controls on the exchange of carbon and water in an Amazonian rain forest. J Geophys Res: Biogeosci 112

  • Kanniah KD, Beringer J, Hutley LB, Tapper NJ, Zhu X (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 Sens Environ 113:1808–1822

    Google Scholar 

  • Khanna J, Medvigy D, Fueglistaler S, Walko R (2017) Regional dry-season climate changes due to three decades of Amazonian deforestation. Nat Clim Change 7:200

    Google Scholar 

  • Lewis SL, Brando PM, Phillips OL, van der Heijden GM, Nepstad D (2011) The 2010 amazon drought. Science 331:554–554

    Google Scholar 

  • Lima LS, Coe MT, Soares Filho BS, Cuadra SV, Dias LCP, Costa MH, Lima LS, Rodrigues HO (2013) Feedbacks between deforestation, climate, and hydrology in the Southwestern Amazon: implications for the provision of ecosystem services. Landsc Ecol 29:261–274

    Google Scholar 

  • Lu X, Zhuang Q (2010) Evaluating evapotranspiration and water-use efficiency of terrestrial ecosystems in the conterminous United States using MODIS and AmeriFlux data. Remote Sens Environ 114:1924–1939

    Google Scholar 

  • Maeda EE, Ma X, Wagner FH, Kim H, Oki T, EAMUS D, Huete A et al (2017) Evapotranspiration seasonality across the Amazon Basin. Earth Syst Dyn

  • Malhi Y, Aragao LEOC, Galbraith D, Huntingford C, Fisher R, Zelazowski P, Sitch S, McSweeney C, Meir P (2009) Exploring the likelihood and mechanism of a climate-change-induced dieback of the Amazon rainforest. Proc Natl Acad Sci of the United States of America 106:20610–20615

    Google Scholar 

  • Manoli G, Ivanov VY, Fatichi S (2018) Dry season greening and water stress in Amazonia: the role of modeling leaf phenology. J Geophys Res: Biogeosci

  • Marengo JA, Nobre CA, Tomasella J, Oyama MD, Sampaio de Oliveira G, De Oliveira R, Camargo H, Alves LM, Brown IF (2008) The drought of Amazonia in 2005. J Clim 21:495–516

    Google Scholar 

  • Monteith JL (1972) Solar radiation and productivity in tropical ecosystems. J Appl Ecol 9:747–766

    Google Scholar 

  • Monteith JL et al (1965) Evaporation and environment. In: Symposia of the society for experimental biology, p 4

  • Mu Q, Zhao M, Running SW (2011) Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens Environ 115:1781–1800

    Google Scholar 

  • Niu GY, Yang ZL, Mitchell KE, Chen F, Ek MB, Barlage M, Kumar A, Manning K, Niyogi D, Rosero E, Tewari M, Xia Y (2011) The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements. J Geophys Res 116:1381–19

    Google Scholar 

  • Parazoo NC, Bowman K, Frankenberg C, Lee JE, Fisher JB, Worden J, Jones DB, Berry J, Collatz GJ, Baker IT et al (2013) Interpreting seasonal changes in the carbon balance of southern Amazonia using measurements of XCO2 and chlorophyll fluorescence from GOSAT. Geophys Res Lett 40:2829–2833

    Google Scholar 

  • Phillips OL, Aragão LEOC, Lewis SL, Fisher JB, Lloyd J, Lopez-Gonzalez G, Malhi Y, Monteagudo A, Peacock J, Quesada CA, van der Heijden G, Almeida S, Amaral I, Arroyo L, Aymard G, Baker TR, Banki O, Blanc L, Bonal D, Brando P, Chave J, de Oliveira ACA, Cardozo ND, Czimczik CI, Feldpausch TR, Freitas MA, Gloor E, Higuchi N, Jimenez E, Lloyd G, Meir P, Mendoza C, Morel A, Neill DA, Nepstad D, Patino S, Penuela MC, Prieto A, Ramirez F, Schwarz M, Silva J, Silveira M, Thomas AS, Steege HT, Stropp J, Vasquez R, Zelazowski P, Davila EA, Andelman S, Andrade A, Chao KJ, Erwin T, Di Fiore A, Honoraio C. E, Keeling H, Killeen TJ., Laurance W.F., Cruz A.P., Pitman N.C.A., Vargas P.N., Ramirez-Angulo H., Rudas A., Salamao R., Silva N., Terborgh J., Torres-Lezama A. (2009) Drought sensitivity of the Amazon Rainforest. Science 323:1344–1347

    Google Scholar 

  • Pilotto IL, Rodríguez DA, Tomasella J, Sampaio G, Chou SC (2015) Comparisons of the Noah-MP land surface model simulations with measurements of forest and crop sites in Amazonia. Meteorol Atmos Phys 127:711–723

    Google Scholar 

  • Ponce VM, da Cunha CN (1993) Vegetated earthmounds in Tropical Savannas of Central Brazil: a synthesis: with special reference to the Pantanal do Mato Grosso. J Biogeograph 219–225

  • R Core Team (2013) R: a language and environment for statistical computing. http://www.R-project.org/

  • Restrepo-Coupe N, da Rocha HR, Hutyra LR, da Araujo AC, Borma LS, Christoffersen B, Cabral OMR, de Camargo PB, Cardoso FL, da Costa ACL, Fitzjarrald DR, Goulden ML, Kruijt B, Maia JMF, Malhi YS, Manzi AO, Miller SD, Nobre AD, von Randow C, Sá LDA, Sakai RK, Tota J, Wofsy SC, Zanchi FB, Saleska SR (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. Agric For Meteorol 182–183:128–144

    Google Scholar 

  • Ryu Y, Jiang C, Kobayashi H, Detto M (2018) MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000. Remote Sens Environ 204:812–825

    Google Scholar 

  • Shao G, Stark S C, de Almeida D R A, Smith M N (2019) Towards high throughput assessment of canopy dynamics: the estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar. Remote Sens Environ 221:1–13

    Google Scholar 

  • Staal A, Dekker SC, Hirota M, van Nes EH (2015) Synergistic effects of drought and deforestation on the resilience of the south-eastern Amazon rainforest. Ecol Complex 22:65–75

    Google Scholar 

  • Stark SC, Breshears DD, Garcia ES, Law DJ, Minor DM, Saleska SR, Swann AL, Villegas JC, Aragão LE, Bella EM et al (2016) Toward accounting for ecoclimate teleconnections: intra-and inter-continental consequences of altered energy balance after vegetation change. Landsc Ecol 31:181–194

    Google Scholar 

  • Sulla-Menashe D, Gray JM, Abercrombie SP, Friedl MA (2019) Hierarchical mapping of annual global land cover 2001 to present: the MODIS Collection 6 Land Cover product. Remote Sens Environ 222:183–194

    Google Scholar 

  • Sun Y, Piao S, Huang M, Ciais P, Zeng Z, Cheng L, Li X, Zhang X, Mao J, Peng S et al (2016) Global patterns and climate drivers of water-use efficiency in terrestrial ecosystems deduced from satellite-based datasets and carbon cycle models. Glob Ecol Biogeogr 25:311–323

    Google Scholar 

  • Swann AL, Fung IY, Chiang JC (2012) Mid-latitude afforestation shifts general circulation and tropical precipitation. Proc Natl Acad Sci 109:712–716

    Google Scholar 

  • von Randow C, Manzi AO, Kruijt B, de Oliveira PJ, Zanchi FB, Silva RL, Hodnett MG, Gash JHC, Elbers JA, Waterloo MJ, Cardoso FL, Kabat P (2004) Comparative measurements and seasonal variations in energy and carbon exchange over forest and pasture in South West Amazonia. Theoret Appl Climatol 78:1–22

    Google Scholar 

  • von Randow C, Zeri M, Restrepo-Coupe N, Muza MN, de Gonçalves LGG, Costa MH, Araújo AC, Manzi AO, da Rocha HR, Saleska SR, Arain MA, Baker IT, Cestaro BP, Christoffersen B, Ciais P, Fisher JB, Galbraith D, Guan X, van den Hurk B, Ichii K, Imbuzeiro H, Jain A, Levine N, Miguez-Macho G, Poulter B, Roberti DR, Sahoo A, Schaefer K, Shi M, Tian H, Verbeeck H, Yang ZL (2013) Inter-annual variability of carbon and water fluxes in Amazonian forest, Cerrado and pasture sites, as simulated by terrestrial biosphere models. Agric For Meteorol 182–183:145–155

    Google Scholar 

  • Wang XY, Li X, Zhu J, Tanajura CA (2018a) The strengthening of Amazonian precipitation during the wet season driven by tropical sea surface temperature forcing. Environ Res Lett 13:094015

    Google Scholar 

  • Wang Z, Schaaf CB, Sun Q, Shuai Y, Román MO (2018b) Capturing rapid land surface dynamics with Collection V006 MODIS BRDF/NBAR/Albedo (MCD43) products. Remote Sens Environ 207:50–64

    Google Scholar 

  • Wehr R, Commane R, Munger J W, McManus J B, Nelson D D, Zahniser M S, Saleska S R, Wofsy S C (2017) Dynamics of canopy stomatal conductance, transpiration, and evaporation in a temperate deciduous forest, validated by carbonyl sulfide uptake. Biogeosciences 14:389–401

    Google Scholar 

  • Wright JS, Fu R, Worden JR, Chakraborty S, Clinton NE, Risi C, Sun Y, Yin L (2017) Rainforest-initiated wet season onset over the southern Amazon. Proc Natl Acad Sci 114:8481–8486

    Google Scholar 

  • Wu J, Guan K, Hayek M, Restrepo-Coupe N, Wiedemann KT, Xu X, Wehr R, Christoffersen BO, Miao G, da Silva R et al (2017) Partitioning controls on Amazon forest photosynthesis between environmental and biotic factors at hourly to interannual timescales. Glob Change Biol 23:1240–1257

    Google Scholar 

  • Xue BL, Guo Q, Otto A, Xiao J, Tao S, Li L (2015) Global patterns, trends, and drivers of water use efficiency from 2000 to 2013. Ecosphere 6:1–18

    Google Scholar 

  • Yang S, Zhang J, Zhang S, Wang J, Bai Y, Yao F, Guo H (2020) The potential of remote sensing-based models on global water-use efficiency estimation: an evaluation and intercomparison of an ecosystem model (BESS) and algorithm (MODIS) using site level and upscaled eddy covariance data. Agric For Meteorol 287:107959

    Google Scholar 

  • Zhang Q, Cheng YB, Lyapustin AI, Wang Y, Xiao X, Suyker A, Verma S, Tan B, Middleton EM (2014) Estimation of crop gross primary production (GPP): I. Impact of MODIS observation footprint and impact of vegetation BRDF characteristics. Agric For Meteorol 191:51–63

    Google Scholar 

  • Zhang L, Tian J, He H, Ren X, Sun X, Yu G, Lu Q, Lv L (2015) Evaluation of water use efficiency derived from MODIS products against eddy variance measurements in China. Remote Sens 7:11183–11201

    Google Scholar 

  • Zhao M, Heinsch FA, Nemani RR, Running SW (2005) Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sens Environ 95:164–176

    Google Scholar 

  • Zhao M, Running SW, Nemani RR (2006) Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. J Geophys Res: Biogeosci 111

Download references

Funding

This work was funded through the Funding Agency of Sao Paulo State (FAPESP) (Grant No. 21164-2/2017).

Author information

Authors and Affiliations

  1. Department of Geography and Atmospheric Science, University of Kansas, Lawrence, KS, USA

    Nathaniel A. Brunsell & Gabriel de Oliveira

  2. National Center for Atmospheric Research, Boulder, CO, USA

    Michael Barlage

  3. Remote Sensing Division, National Institute for Space Research, São José dos Campos, SP, Brazil

    Yosio Shimabukuro, Elisabete Moraes & Luiz Aragão

Authors
  1. Nathaniel A. Brunsell
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gabriel de Oliveira
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Michael Barlage
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yosio Shimabukuro
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Elisabete Moraes
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Luiz Aragão
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nathaniel A. Brunsell.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Brunsell, N.A., de Oliveira, G., Barlage, M. et al. Examination of seasonal water and carbon dynamics in eastern Amazonia: a comparison of Noah-MP and MODIS. Theor Appl Climatol 143, 571–586 (2021). https://doi.org/10.1007/s00704-020-03435-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-020-03435-6

Search

Navigation