Patterns and drivers of evapotranspiration in South American wetlands.

Evapotranspiration (ET) is a key process linking surface and atmospheric energy budgets, yet its drivers and patterns across wetlandscapes are poorly understood worldwide. Here we assess the ET dynamics in 12 wetland complexes across South America, revealing major differences under temperate, tropical, and equatorial climates. While net radiation is a dominant driver of ET seasonality in most environments, flooding also contributes strongly to ET in tropical and equatorial wetlands, especially in meeting the evaporative demand. Moreover, significant water losses through wetlands and ET differences between wetlands and uplands occur in temperate, more water-limited environments and in highly flooded areas such as the Pantanal, where slow river flood propagation drives the ET dynamics. Finally, floodplain forests produce the greatest ET in all environments except the Amazon River floodplains, where upland forests sustain high rates year round. Our findings highlight the unique hydrological functioning and ecosystem services provided by wetlands on a continental scale.

Surface Albedo and Temperature Models for Surface Energy Balance Fluxes and Evapotranspiration Using SEBAL and Landsat 8 over Cerrado-Pantanal, Brazil.

The determination of the surface energy balance fluxes (SEBFs) and evapotranspiration (ET) is fundamental in environmental studies involving the effects of land use change on the water requirement of crops. SEBFs and ET have been estimated by remote sensing techniques, but with the operation of new sensors, some variables need to be parameterized to improve their accuracy. Thus, the objective of this study is to evaluate the performance of algorithms used to calculate surface albedo and surface temperature on the estimation of SEBFs and ET in the Cerrado-Pantanal transition region of Mato Grosso, Brazil. Surface reflectance images of the Operational Land Imager (OLI) and brightness temperature (Tb) of the Thermal Infrared Sensor (TIRS) of the Landsat 8, and surface reflectance images of the MODIS MOD09A1 product from 2013 to 2016 were combined to estimate SEBF and ET by the surface energy balance algorithm for land (SEBAL), which were validated with measurements from two flux towers. The surface temperature (Ts) was recovered by different models from the Tb and by parameters calculated in the atmospheric correction parameter calculator (ATMCORR). A model of surface albedo (asup) with surface reflectance OLI Landsat 8 developed in this study performed better than the conventional model (acon) SEBFs and ET in the Cerrado-Pantanal transition region estimated with asup combined with Ts and Tb performed better than estimates with acon. Among all the evaluated combinations, SEBAL performed better when combining asup with the model developed in this study and the surface temperature recovered by the Barsi model (Tsbarsi). This demonstrates the importance of an asup model based on surface reflectance and atmospheric surface temperature correction in estimating SEBFs and ET by SEBAL.

Survey of fish species from the Lower Roosevelt River, Southwestern Amazon basin / Levantamento de espécies de peixes do Baixo Rio Roosevelt, Sudoeste da Bacia Amazônica

Abstract: This study presents an inventory of the ichthyofauna of the lower Roosevelt River sub-basin and its associated tributaries. Fish sampling with fishing nets and measurements of environmental parameters of water occurred in November/2012 (rising water), February/2013 (flooding), May/2013 (falling water) and August/2013 (drought). Depth mean was 8.86 m, water transparency was 0.6 m, conductivity was 22.7 µS.cm-1, pH was 6.59, dissolved oxygen was 7.63 mg.l-1 and temperature was 28°C. The total estimated capture area was 68,829.6 m2 during 2,880 hours. The catch per unit Effort (CPUE) was 0.37 individuals m-2.day-1. Species were spatially aggregated in all sampling points and river water levels. A total of 5,183 individuals distributed in 7 orders, 29 families, 104 genders and 188 species were sampled in this survey. The diversity index was 4.121 and equitability index was 0.789. The Characiforms order was the most abundant with 106 species, followed by Siluriforms with 63 species and Cichliforms with 23 species. The most abundant species was Serrasalmus rhombeus (Linnaeus, 1766) with 327 individuals (5.9%), followed by Chalceus epakros (Cope, 1870) with 309 individuals (5.6%) and Acestrorhynchus microlepis (Schomburgk, 1841) with 250 individuals (4.5%). Trophicity was characterized by omnivorous (28.6%), piscivorous (14.3%), carnivorous (13.8%) and detritivorous (12.8%). According to IBAMA's regulation, 29.25% of captured species presents ornamental potential.

Resumo: Este estudo apresenta um inventário da ictiofauna da sub-bacia do baixo Rio Roosevelt e seus tributários associados. As coletas de peixes com malhadeiras e as medições de parâmetros ambientais da água ocorreram em Novembro/2012 (enchente), Fevereiro/2013 (cheia), Maio/2013 (vazante) e Agosto/2013 (seca). A média da profundidade foi 8,86 m, da transparência da água foi 0,6 m, da condutividade foi 22,7 µS.cm-1, do pH foi 6,59, do oxigênio dissolvido foi 7,63 mg.l-1 e da temperatura da água foi 28°C. A área total de captura estimada foi 68.829,6 m2 durante 2880 horas. A captura por unidade de esforço (CPUE) foi 0,37 indivíduos m-2.dia-1. As espécies foram espacialmente agregadas em todos os pontos de coleta e períodos de coleta. Um total de 5183 peixes em 7 ordens, 29 famílias, 104 gêneros e 188 espécies foram coletados. O índice de diversidade foi 4,121 e o índice de equidade foi 0,789. As ordens Characiforme, Siluriforme e Cichliforme foram as mais abundantes. As espécies Serrasalmus rhombeus Linnaeus 1766 com 327 indivíduos (5,9%), Chalceus epakros (Cope 1870) com 309 indivíduos (5,6%) e Acestrorhynchus microlepis Schomburgk 1841 com 250 indivíduos (4,5%) foram as mais abundantes. Os onívoros (28,6%), piscívoros (14,3%), carnívoros (13,8%) e detritívoros (12,8%) foram os indivíduos mais abundantes. De acordo com o IBAMA, 29,25% das espécies capturadas tem potencial ornamental.

Growth rhythm of Vochysia divergens Pohl (Vochysiaceae) in the Northern Pantanal / Ritmo de crescimento de Vochysia divergens Pohl (Vochysiaceae) no Pantanal Norte

The Pantanal is the largest wetland in the world, characterized by high biodiversity, but large areas have been invaded by Vochysia divergens, a flood- adapted pioneer and native tree of the riparian forest and Brazilian Savanna. Seasonality in rainfall causes annual rhythms in the tree's physiology, in which climatic stress factors induce a cambial dormancy in trees and, in consequence, growth zones in the trunk. Current analysis evaluates the seasonal variation of the diameter increase of V. divergens specimens in a seasonal floodable forest of the Northern Brazilian Pantanal. Field sampling was conducted between January and December 2012. Air temperature, relative humidity and precipitation were measured at a micrometeorological station, water level was measured by graded tape, and soil water content was measured by a portable TDR sensor. Diameter growth was monitored by dendrometric bands and aboveground litter production was sampled by litter traps. The annual diameter increase was 4.0 mm. There was correlation between diameter increment and climate and phenology, with the highest increase during the flooding period and the lowest during the dry season and reproductive period. Climate and phenology affected the growth rhythm of V. divergens.

O Pantanal é a maior area úmida do mundo, com alta diversidade de plantas e animais, mas vastas áreas são invadidas por Vochysia divergens Pohl (Vochysiaceae), que é uma árvore pioneira bem adaptada à inundação e nativa de matas ripárias e cerrado. A sazonalidade da chuva leva a ritmos anuais na fisiologia das árvores em que fatores de estresse climático induzem à dormência cambial e, consequentemente às zonas de crescimento no caule. Assim, o objetivo deste estudo foi avaliar a variação sazonal do incremento diamétrico de indivíduos de V. divergens em uma floresta sazonalmente inundável no pantanal norte. As coletas ocorreram de janeiro a dezembro/2012. A temperatura do ar, umidade relativa e precipitação foram obtidas por estação micrometeorológica, o nível de água no solo por trena graduada e o conteúdo de água no solo por sensor TDR. O incremento diamétrico foi monitorado por bandas dendrométricas e a produção de liteira por coletores. O incremento diamétrico anual foi 4,0 mm. Houve correlação do incremento diamétrico com clima e fenologia, com maior incremento na inundação e menor na estação seca e no período reprodutivo da espécie. Portanto, o ritmo de crescimento de V. divergens foi afetado pelo clima e fenologia.

Ground and remote sensing-based measurements of leaf area index in a transitional forest and seasonal flooded forest in Brazil.

Leaf area index (LAI) is a key driver of forest productivity and evapotranspiration; however, it is a difficult and labor-intensive variable to measure, making its measurement impractical for large-scale and long-term studies of tropical forest structure and function. In contrast, satellite estimates of LAI have shown promise for large-scale and long-term studies, but their performance has been equivocal and the biases are not well known. We measured total, overstory, and understory LAI of an Amazon-savanna transitional forest (ASTF) over 3 years and a seasonal flooded forest (SFF) during 4 years using a light extinction method and two remote sensing methods (LAI MODIS product and the Landsat-METRIC method), with the objectives of (1) evaluating the performance of the remote sensing methods, and (2) understanding how total, overstory and understory LAI interact with micrometeorological variables. Total, overstory and understory LAI differed between both sites, with ASTF having higher LAI values than SFF, but neither site exhibited year-to-year variation in LAI despite large differences in meteorological variables. LAI values at the two sites have different patterns of correlation with micrometeorological variables. ASTF exhibited smaller seasonal variations in LAI than SFF. In contrast, SFF exhibited small changes in total LAI; however, dry season declines in overstory LAI were counteracted by understory increases in LAI. MODIS LAI correlated weakly to total LAI for SFF but not for ASTF, while METRIC LAI had no correlation to total LAI. However, MODIS LAI correlated strongly with overstory LAI for both sites, but had no correlation with understory LAI. Furthermore, LAI estimates based on canopy light extinction were correlated positively with seasonal variations in rainfall and soil water content and negatively with vapor pressure deficit and solar radiation; however, in some cases satellite-derived estimates of LAI exhibited no correlation with climate variables (METRIC LAI or MODIS LAI for ASTF). These data indicate that the satellite-derived estimates of LAI are insensitive to the understory variations in LAI that occur in many seasonal tropical forests and the micrometeorological variables that control seasonal variations in leaf phenology. While more ground-based measurements are needed to adequately quantify the performance of these satellite-based LAI products, our data indicate that their output must be interpreted with caution in seasonal tropical forests.

Temperaturas basais para o crescimento de frutos de mangueira alfa / Basal temperature for growth of fruits of alpha mango

O objetivo deste trabalho foi comparar um modelo de crescimento de frutos com o crescimento real dos frutos de mangueira 'Alfa' medido em campo, utilizando dois valores de taxa inicial de crescimento relativo, uma estabelecida pela literatura e outra estimada para cada fruto e, estimar a temperatura base-inferior e superior para frutos de mangueira 'Alfa' pela técnica de inteligência artificial, denominada de algoritmo genético. Para realizar a estimativa de crescimento, o modelo utilizado considerou os valores da taxa inicial de crescimento relativo dos frutos, massa seca (atual e máxima) e graus-dia. Neste trabalho, 06 frutos de mangueira 'Alfa' foram acompanhados até a maturidade, entre agosto/2010 e janeiro/2011, com período médio de maturação de 103 dias, em um pomar não irrigado da Fazenda Experimental da UFMT, Santo Antônio do Leverger/MT. A melhor estimativa de crescimento encontrada quando comparada ao crescimento real do fruto medido em campo foi utilizando o valor de 0,0105 estabelecido para a taxa inicial de crescimento relativo de frutos de mangueira pela literatura e os valores de 7°C para Tb e 41°C para TB.

The goals of this study were to compare a growth model developed to the real growth of the measured fruits in the field using two values of initial relative growth rate, one established by literature and other estimated for each fruit, and to estimate inferior and superior basal temperature for fruits of 'Alpha' mango using the technique of artificial intelligence called as genetic algorithm. To accomplish the growth estimate, the used model considered the values of initial relative growth rate of the fruits, dry weight (current and maximum) and degree-days. In this work, 06 fruits of 'Alpha' mango were monitored until maturity, between August/2010 and January/2011, with average maturity of 103 days in a non-irrigated orchard of Experimental Farm of UFMT, in Santo Antônio do Leverger/MT. The best estimate of growth found when compared to the real growth of the measured fruits in the field was using the value of 0.0105 established for initial relative growth rate of mango fruits by literature and the values of 7°C for Tb and 41°C for TB.