SABIIA - Sistema Aberto e Integrado de Informação em Agricultura (Sabiia)

WU, J.; ALBERT, L. P.; PROHASKA, N.; ELY, K.; WOLFE, B. T.; OLIVEIRA JUNIOR, R. C. de; SALESKA, S. R.; ROGERS, A.; SERBIN, S. P..

bitstream/item/164598/1/JIN-WU-2017-ESA.pdf

Age-dependent leaf function and consequences for carbon uptake of leaves, branches, and the canopy during the dry season in an Amazon evergreen forest.

Palavras-chave: Folha; Espectroscopia foliar; Capacidade fotossintética.

Ano: 2017

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1076603

ALBERT, L. P.; WU, J.; PROHASKA, N.; CAMARGO, P. B.; HUXMAN, T. E.; TRIBUZY, E.; IVANOV, V.; OLIVEIRA, R.; GARCIA, S.; SMITH, M. N.; OLIVEIRA JUNIOR, R. C. de; RESTREPO-COUPE, N.; SILVA, R. da; STARK, S. C.; MARTINS, G.; PENHA, D. V.; SALESKA, S. R..

bitstream/item/164605/1/LOREN-2017-ESA.pdf

Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought.

Palavras-chave: Folha; Carbono; Absorção; Floresta tropical.

Ano: 2017

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1076610

POWELL, T. I.; GALBRAITH, D. R.; CHRISTOFFERSEN, B. O.; HARPER, A.; IMBUZEIRO, H. M. A.; ROWLAND, L.; ALMEIDA, S.; BRANDO, P. M.; COSTA, A. C. L. da; COSTA, M. H.; LEVINE, N. M.; MALHI, Y.; SALESKA, S. R.; SOTTA, E.; WILLIAMS, M.; MEIR, P.; MOORCROFT, P. R..

Considerable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.5 (CLM3.5), Ecosystem Demography model version 2.1 (ED2), Integrated BIosphere Simulator version 2.6.4 (IBIS), Joint UK Land Environment Simulator version 2.1 (JULES) and Simple Biosphere model version 3 (SiB3)) and a hydrodynamic terrestrial ecosystem model (the Soil?Plant?Atmosphere (SPA) model) were evaluated against measurements from two large-scale Amazon drought experiments. Model predictions agreed with the observed C fluxes in the control plots of both experiments, but poorly replicated the responses to the drought treatments. Most notably, with the...

Does Amazon forest leaf phenology mediate transpiration seasonality and hence, ecoclimate teleconnections?

Palavras-chave: Tropical rainforest; Ciclo do cabono; Carbon cycle; Modelo de biosfera terrestre; Terrestrial biosphere model; Floresta tropical.

Ano: 2013

URL: http://www.alice.cnptia.embrapa.br/handle/doc/965567

SALESKA, S. R.; ALBERT, L. P.; FU, R.; WU, J.; PROHASKA, N.; SMITH, M. N.; IVANOV, V.; CAMARGO, P. B.; OLIVEIRA JUNIOR, R. C. de; RESTREPO-COUPE, N.; WEHR, R.; HUXMAN, T. E..

bitstream/item/164593/1/SALESKA-2017-ESA.pdf

Reframing tropical savannization: linking changes in canopy structure to energy balance alterations that impact climate.

Palavras-chave: Floresta tropical; Amazônia; Transpiração.

Ano: 2017

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1076592

STARK, S. C.; BRESHEARS, D. D.; ARAGÓN, S.; VILLEGAS, J. C.; LAW, D. J.; SMITH, M. N.; MINOR, D. M.; ASSIS, R. L. de; ALMEIDA, D. R. A. de; OLIVEIRA, G. de; SALESKA, S. R.; SWANN, A. S.; MOURA, J. M. S.; CAMARGO, J. L.; SILVA, R. da; ARAGÃO, L. E. O. C.; OLIVEIRA JUNIOR, R. C. de.

Tropical ecosystems are undergoing unprecedented rates of degradation from deforestation, fire, and drought disturbances. The collective effects of these disturbances threaten to shift large portions of tropical ecosystems such as Amazon forests into savanna like structure via tree loss, functional changes, and the emergence of fire (savannization). Changes from forest states to a more open savanna like structure can affect local microclimates, surface energy fluxes, and biosphere?atmosphere interactions. A predominant type of ecosystem state change is the loss of tree cover and structural complexity in disturbed forest. Although important advances have been made contrasting energy fluxes between historically distinct old growth forest and savanna systems,...

Surface ecophysiological behavior across vegetation and moisture gradients in tropical South America.

Palavras-chave: Balanço energético; Savanização; Transição florestal; Mudança Climática; Vegetação.

Ano: 2020

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125025

BAKER, I. T.; HARPER, A. B.; ROCHA, H. R. da; DENNING, A. S.; ARAUJO, A. C.; BORMA, L. S.; FREITAS, H. C.; GOULDE, M. L.; MANZI, A. O.; MILLER, S. D.; NOBRE, A. D.; RESTREPO-COUPE, N.; SALESKA, S. R.; STÖCKLI, R.; RANDOW, C. von; WOFSY, S. C..

Surface ecophysiology at five sites in tropical South America across vegetation and moisture gradients is investigated. From the moist northwest (Manaus) to the relatively dry southeast (Pé de Gigante, state of São Paulo) simulated seasonal cycles of latent and sensible heat, and carbon flux produced with the Simple Biosphere Model (SiB3) are confronted with observational data. In the northwest, abundant moisture is available, suggesting that the ecosystem is light-limited. In these wettest regions, Bowen ratio is consistently low, with little or no annual cycle. Carbon flux shows little or no annual cycle as well; efflux and uptake are determined by high-frequency variability in light and moisture availability. Moving downgradient in annual precipitation...

The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data.

Palavras-chave: Ciclo do carbono; Ecofisiologia; Amazônia; América do Sul.

Ano: 2013

URL: http://www.alice.cnptia.embrapa.br/handle/doc/972831

PASTORELLO, G.; TROTTA, C.; CANFORA, E.; CHU, H.; CHRISTIANSON, D.; CHEAH, Y.; POINDEXTER, C.; CHEN, J.; ELBASHANDY, A.; HUMPHREY, M.; ISAAC, P.; POLIDORI, D.; RIBECA, A.; VAN INGEN, C.; ZHANG, L.; AMIRO, B.; AMMANN, C.; ARAIN, M. A.; ARDÖ, J.; ARKEBAUER, T.; ARNDT, S. K.; ARRIGA, N.; AUBINET, M.; AURELA, M.; BALDOCCHI, D.; BARR, A.; BEAMESDERFER, E.; BELELLI, L. M.; BERGERON, O.; BERINGER, J.; BERNHOFER, C.; BERVEILLER, D.; BILLESBACH, D.; BLACK, T. A.; BLANKEN, P. D.; BOHRER, G.; BOIKE, J.; BOLSTAD, P. V.; BONAL, D.; BONNEFOND, J.; BOWLING, D. R.; ROSVEL, B.; BRODEUR, J.; BRÜMMER, C.; BUCHMANN, N.; BURBAN, B.; BURNS, S. P.; BUYSSE, P.; CALE, P.; CAVAGNA, M.; CELLIER, P.; CHEN, S.; CHINI, I.; CHRISTENSEN, T. R.; CLEVERLY, J.; COLLALTI, A.; CONSALVO, C.; COOK, B. D.; COOK, D.; COURSOLLE, C.; CREMONESE, E.; CURTIS, P. S.; D'ANDREA, E.; ROCHA, H. da; DAI, X.; DAVIS, K. J.; DE CINTI, B.; DE GRANDCOURT, A.; DE LIGNE, A.; OLIVEIRA JUNIOR, R. C. de; DELPIERRE, N.; DESAI, A. R.; DI BELLA, C. M.; DI TOMMASI, P.; DOLMAN, H.; DOMINGO, F.; DONG, G.; DORE, S.; DUCE, P.; DUFRÊNE, E.; DUNN, A.; DUSEK, J.; EAMUS, D.; EICHELMANN, U.; ELKHIDIR, H. A. M.; EUGSTER, W.; EWENZ, C. M.; EWERS, B.; FAMULARI, D.; FARES, S.; FEIGENWINTER, I.; FEITZ, A.; FENSHOLT, R.; FILIPPA, G.; FISCHER, M.; FRANK, J.; GALVAGNO, M.; GHARUN, M.; GIANELLE, D.; GIELEN, B.; GIOLI, B.; GITELSON, A.; GODED, I. B.; GOECKEDE, M.; GOLDSTEIN, A. H.; GOUGH, C. M.; GOULDEN, M. L.; GRAF, A.; GRIEBEL, A.; GRUENING, C.; GRÜNWALD, T.; HAMMERLE, A.; HAN, S.; HAN, X.; HANSEN, B. U.; HANSON, C.; HATAKKA, J.; HE, Y.; HEHN, M.; HEINESCH, B.; HINKO-NAJERA, N.; HÖRTNAGL, L.; HUTLEY, L.; IBROM, A.; IKAWA, H.; JACKOWICZ-KORCZYNSKI, M.; JANOUS, D.; JANS, W.; JASSAL, R.; JIANG, S.; KATO, T.; KHOMIK, M.; KLATT, J.; KNOHL, A.; KNOX, S.; KOBAYASHI, H.; KOERBER, G.; KOLLE, O.; KOSUGI, Y.; KOTANI, A.; KOWALSKI, A.; KRUIJT, B.; KURBATOVA, J.; KUTSCH, W. L.; KWON, H.; LAUNIAINEN, S.; LAURILA, T.; LAW, B.; LEUNING, R.; LI, Y.; LIDDELL, M.; LIMOUSIN, J.; LION, M.; LISKA, A.; LOHILA, A.; LÓPEZ-BALLESTEROS, A.; LÓPEZ-BLANCO, E.; LOUBET, B.; LOUSTAU, D.; LUCAS-MOFFAT, A.; LÜERS, J.; MA, S.; MACFARLANE, C.; MAGLIULO, V.; MAIER, R.; MAMMARELLA, I.; MANCA, G.; MARCOLLA, B.; MARGOLIS, H.; MARRAS, S.; MASSMAN, W.; MASTEPANOV, M.; MATAMALA, R.; MATTHES, J. H.; MAZZENGA, F.; MCCAUGHEY, H.; MCHUGH, I.; MCMILLAN, A. M. S.; MERBOLD, L.; MEYER, W.; MEYERS, T.; MILLER, S. D.; MINERBI, S.; MODEROW, U.; MONSON, R. K.; MONTAGNANI, L.; MOORE, C. E.; MOORS, E.; MOREAUX, V.; MOUREAUX, C.; MUNGER, J. W.; NAKAI, T.; NEIRYNCK, J.; NESIC, Z.; NICOLINI, G.; NOORMETS, A.; NORTHWOOD, M.; NOSETTO, M.; NOUVELLON, Y.; NOVICK, K.; WALTER, O.; OLESEN, J. E.; OURCIVAL, J.; PAPUGA, S. A.; PARMENTIER, F.; PAUL-LIMOGES, E.; PAVELKA, M.; PEICHL, M.; PENDALL, E.; PHILLIPS, R. P.; PILEGAARD, K.; PIRK, N.; POSSE, G.; POWELL, T.; PRASSE, H.; PROBER, S. M.; RAMBAL, S.; RANNIK, U.; RAZ-YASEEF, N.; REED, D.; RESCO DE DIOS, V.; RESTREPO-COUPE, N.; REVERTER, B. R.; ROLAND, M.; SABBATINI, S.; SACHS, T.; SALESKA, S. R.; SÁNCHEZ-CAÑETE, E. P.; SANCHEZ-MEJIA, Z. M.; SCHMID, H. P.; SCHMIDT, M.; SCHNEIDER, K.; SCHRADER, F.; SCHRODER, I.; SCOTT, R. L.; SEDLÁK, P.; SERRANO-ORTÍZ, P.; SHAO, C.; SHI, P.; SHIRONYA, I.; SIEBICKE, L.; SIGUT, L.; SILBERSTEIN, R.; SIRCA, C.; SPANO, D.; STEINBRECHER, R.; STEVENS, R. M.; STURTEVANT, C.; SUYKER, A.; TAGESSON, T.; TAKANASHI, S.; TANG, Y.; TAPPER, N.; THOM, J.; TIEDEMANN, F.; TOMASSUCCI, M.; TUOVINEN, J.; URBANSKI, S.; VALENTINI, R.; VAN DER MOLEN, M.; VAN GORSEL, E.; VAN HUISSTEDEN, K.; VARLAGIN, A.; VERFAILLIE, J.; VESALA, T.; VINCKE, C.; VITALE, D.; VYGODSKAYA, N.; WALKER, J. P.; WALTER-SHEA, E.; WANG, H.; WEBER, R.; WESTERMANN, S.; WILLE, C.; WOFSY, S.; WOHLFAHRT, G.; WOLF, S.; WOODGATE, W.; YUELIN, L.; ZAMPEDRI, R.; ZHANG, J.; ZHOU, G.; ZONA, D.; AGARWAL, D.; BIRAUD, S.; TORN, M.; PAPALE, D..

The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series,...

Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.

Palavras-chave: FLUXNET2015; Biological measurements; Remote sensing studies; Ecosystem respiration and photosynthetic; Measurement device; Terrestrial biome; Sensoriamento Remoto; Carbon dioxide; Ecophysiology; Net ecosystem exchange; Water; Energy; Eddy covariance.

Ano: 2020

URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125053

SMITH, M. N.; SCHITTI, J.; GONÇALVES, N.; MINOR, D.; ALMEIDA, D. R. A. de; ROCHA, D. G.; ARAGÓN, S.; MENIN, M.; GUEDES, M. C.; TONINI, H.; SILVA, K. E. da; ROSA, D. M.; NELSON, B. W.; CORDEIRO, C. L. O.; OLIVEIRA JUNIOR, R. C. de; SHAO, G.; SOUZA, M. S.; MCMAHON, S.; ALMEIDA, D.; ARAGÃO, L. E. O. C.; LIMA, N. Z. de; OLIVEIRA, G. de; ASSIS, R. L. de; CAMARGO, J. L.; MESQUITA, R. G.; SALESKA, S. R.; BRESHEARS, D. D.; COSTA, F. R. C.; STARK, S. C..

A critical problem in tropical forest ecology is understanding how vegetation structure and function vary over environmental gradients. The degree to which forest structure changes across the Amazon basin and the role of environmental variability in shaping forest structure and dynamics are poorly characterised, despite the importance of these forests for regional and global climate. To address these challenges, we connected 10 years of investigations to amass a large database of ground-based profiling canopy lidar (PCL) data from 297 Amazon forest plots across large-scale environmental and disturbance gradients. Mean annual precipitation varied from 1,963 to 3,159 mm, number of dry season months from 0 to 5, and plot soil types covered about half of the...