Greenhouse gas balance due to the conversion of sugarcane areas from burned to green harvest, considering other conservationist management practices

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Agriculturization as a syndrome: a comparative study of agriculture in Argentina and Australia

Includes bibliography

Caracterización de los síndromes de sostenibilidad del desarrollo. El caso de Argentina. Taller "Síndromes de sostenibilidad del desarrollo en América Latina", Santiago de Chile 16 y 17 de septiembre de 2002

Incluye Bibliografía

Los síndromes de sostenibilidad del desarrollo. El caso de México

Incluye Bibliografía

Síndromes de sostenibilidad ambiental del desarrollo en Colombia: taller Síndromes de sostenibilidad del desarrollo en América Latina""

Incluye Bibliografía

Remote phenology: Applying machine learning to detect phenological patterns in a cerrado savanna

Plant phenology has gained importance in the context of global change research, stimulating the development of new technologies for phenological observation. Digital cameras have been successfully used as multi-channel imaging sensors, providing measures of leaf color change information (RGB channels), or leafing phenological changes in plants. We monitored leaf-changing patterns of a cerrado-savanna vegetation by taken daily digital images. We extract RGB channels from digital images and correlated with phenological changes. Our first goals were: (1) to test if the color change information is able to characterize the phenological pattern of a group of species; and (2) to test if individuals from the same functional group may be automatically identified using digital images. In this paper, we present a machine learning approach to detect phenological patterns in the digital images. Our preliminary results indicate that: (1) extreme hours (morning and afternoon) are the best for identifying plant species; and (2) different plant species present a different behavior with respect to the color change information. Based on those results, we suggest that individuals from the same functional group might be identified using digital images, and introduce a new tool to help phenology experts in the species identification and location on-the-ground. ©2012 IEEE.

Quantification of uncertainties associated with space-time estimates of short-term soil CO2 emissions in a sugar cane area

The characterization of soil CO2 emissions (FCO2) is important for the study of the global carbon cycle. This phenomenon presents great variability in space and time, a characteristic that makes attempts at modeling and forecasting FCO2 challenging. Although spatial estimates have been performed in several studies, the association of these estimates with the uncertainties inherent in the estimation procedures is not considered. This study aimed to evaluate the local, spatial, local-temporal and spatial-temporal uncertainties of short-term FCO2 after harvest period in a sugar cane area. The FCO2 was featured in a sampling grid of 60m×60m containing 127 points with minimum separation distances from 0.5 to 10m between points. The FCO2 was evaluated 7 times within a total period of 10 days. The variability of FCO2 was described by descriptive statistics and variogram modeling. To calculate the uncertainties, 300 realizations made by sequential Gaussian simulation were considered. Local uncertainties were evaluated using the probability values exceeding certain critical thresholds, while the spatial uncertainties considering the probability of regions with high probability values together exceed the adopted limits. Using the daily uncertainties, the local-spatial and spatial-temporal uncertainty (Ftemp) was obtained. The daily and mean emissions showed a variability structure that was described by spherical and Gaussian models. The differences between the daily maps were related to variations in the magnitude of FCO2, covering mean values ranging from 1.28±0.11μmolm-2s-1 (F197) to 1.82±0.07μmolm-2s-1 (F195). The Ftemp showed low spatial uncertainty coupled with high local uncertainty estimates. The average emission showed great spatial uncertainty of the simulated values. The evaluation of uncertainties associated with the knowledge of temporal and spatial variability is an important tool for understanding many phenomena over time, such as the quantification of greenhouse gases or the identification of areas with high crop productivity. © 2013 Elsevier B.V.

Variação da precipitação por método de interpolação geoestatística

Este artigo analisa a variação da precipitação na bacia hidrográfica Tocantins-Araguaia no período de duas décadas, tomando como base as estações pluviométricas do banco de dados HidroWeb, da Agência Nacional de Águas, nos anos de 1983, 1993 e 2003. As informações foram sistematizadas e tratadas a partir de métodos hidrológicos como método de contorno e interpolação por krigagem ordinária. O tratamento considerou a consistência dos dados das estações e os períodos de estudo. Os resultados demonstraram que o volume total de água precipitada anualmente não se alterou significativamente nos 20 anos estudados, ocorrendo, no entanto, uma significativa variação em sua distribuição espacial. Analisando-se as isoietas e o volume precipitado constatou-se que houve deslocamento da precipitação, no sentido Tocantins Baixo (TOB) aproximadamente de 10% do volume total precipitado. Tal deslocamento pode estar ligado a mudanças globais e/ou pode ser causado por atividades antrópicas ou fenômenos naturais regionais, cuja análise foge ao escopo deste trabalho.

Anthropogenic edges, isolation and the flowering time and fruit set of Anadenanthera peregrina, a cerrado savanna tree

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Short-term CO2-C emissions from soil prior to sugarcane (Saccharum spp.) replanting in southern Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Beyond species loss: the extinction of ecological interactions in a changing world

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Measured and modeled interactive effects of potassium deficiency and water deficit on gross primary productivity and light-use efficiency in Eucalyptus grandis plantations

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Ecological and toxicological responses in a multistressor scenario: are monitoring programs showing the stressors or just showing stress? A case study in Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Análise sazonal e espacial da precipitação pluvial na bacia hidrográfica do rio Ivaí, Paraná

Climate variability and therefore the rainfall is often cited today, in times to speak of "global change", "global warming", "anthropogenic disasters," among other terms related to climate issues, which may cause floods and disasters that affect entire regions. In this sense, the seasonal rainfall and its extremes in the basin of Ivaí river, which has a drainage area of approximately 36 000 km2, covering a length of 680 km, located in the State of Paraná between coordinates 22 º 54'S 25 ° 44'S and 55 44'W to 52 º 42'W, were analyzed. Influence of rainfall for the man occupation is undeniably important, not less important is the role that this issue poses to the climate abiotic and biotic environment, because the dynamic relations between the fauna and flora is directly related to the availability of water in system (in this case, rain). The methodological procedures used during the research focused on statistical analysis of rainfall series daily, monthly and yearly, provided by the Superintendence of Water Resources Development and Environmental Protection Agency - SUDERHSA, an agency linked to the government of Parana. The analysis period chosen was from 1975 to 2005, with 38 stations for data collection, distributed evenly across the search area. The standard rainfall in the basin is explained mainly by convective processes in the summer (wet season) and front system causing more homogeneous rainfall over the basin (dry season). What is well marked is the occurrence of maximum rainfall in the years 1983 and 1997 (El Niño) and minimal in the years 1977, 1985 and 1988 (La Niña). Finally, although the study area have undergone a significant change in your landscape for over thirty years, this study indicates no significant interference in rainfall.