Soil carbon stock and origin in tropical soil under sugar cane management afther deforestation.

2008

Dinâmica do desflorestamento e uso das terras na região dos formadores do rio Xingu.

Because of the occupation occurred in the last thirty years at Xingu river basin, this region has been suffering a large deforestation pressure, especially on its headwaters areas. This study aims to apply GIS techniques to evaluate how land use change has influenced the deforestation dynamics of Xingu water basin in Mato Grosso State. For that, a GIS based study was carried out were the deforestation data for the period between 2000 and 2005 was spatially integrated with settlement areas, indigenous lands, sites of mineral deposits and prospect areas. From this spatially integration, it was possible to analyze statistically how the deforestation has manifested on each kind of occupation, considering the original forest area. The techniques used, including inventory and database organization on GIS environment, and spatial analysis tools made it possible to analyze the deforestation in the Xingu basin in Mato Grosso State between the period of 2000 and 2005, and identify the most affected areas, considering different land uses.

Effect of clearing native forest (Caatinga) strips on some hydrologic components of micro-watersheds.

The influences of clearing native vegetation (Caatinga) in contour strips at 25 cm vertical interval on evaporation losses in cleared strips, annual runoff efficiency and annuall soil loss on gently sloped micro-waterheds in the arid zones of Northeast Brazil are reported. The alternate native vegetation (Caatinga) strips function very effectively as windbreaks thus reducing evaporation losses substantially in the leeward cleared strips. The runoff measured at the micro-watershed with cleared strips was many-fold lower than the runoff obtained at a completely denuded watershed even when it was protected by narrow based channel terraces. However, the annual runoff efficiency can be significantly increased in a strip cleared watershed if narrow based channel terraces are provided on the lower side of cleared strips. The annual soil losses in strip cleared watersheds as well as completely denuded waterhed of gentle slopes were negligible. Thus clearing land in alternate contour strips on a micro-watersheds shall substantially improve crop water use efficiency without creating any significant erosion problems. Additionally this treatment will increase runoff for water harvesting for irrigation purposes.

High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.

Understanding spatial patterns of land use and land cover is essential for studies addressing biodiversity, climate change and environmental modeling as well as for the design and monitoring of land use policies. The aim of this study was to create a detailed map of land use land cover of the deforested areas of the Brazilian Legal Amazon up to 2008. Deforestation data from and uses were mapped with Landsat-5/TM images analysed with techniques, such as linear spectral mixture model, threshold slicing and visual interpretation, aided by temporal information extracted from NDVI MODIS time series. The result is a high spatial resolution of land use and land cover map of the entire Brazilian Legal Amazon for the year 2008 and corresponding calculation of area occupied by different land use classes. The results showed that the four classes of Pasture covered 62% of the deforested areas of the Brazilian Legal Amazon, followed by Secondary Vegetation with 21%. The area occupied by Annual Agriculture covered less than 5% of deforested areas; the remaining areas were distributed among six other land use classes. The maps generated from this project ? called TerraClass - are available at INPE?s web site (http://www.inpe.br/cra/projetos_pesquisas/terraclass2008.php)

Os desafios para uma nova agricultura na Amazônia.

Dar atenção para as áreas com florestas, que representam 82% da Amazônia, ou para os 18% já desmatados constitui o atual dilema político. A ênfase na biodiversidade como sendo a grande opção futura para a Amazônia carrega equívocos na busca futurística de produtos, esquecendo a biodiversidade do passado e do presente, na qual estão as grandes oportunidades. Os atuais recursos financeiros do Reducing Emissions from Deforestation and Forest Degradation (REDD) seriam adequados na geração de tecnologias apropriadas do que a criação de um assistencialismo ambiental. A redução dos desmatamentos e queimadas precisa estar acompanhada da incorporação de áreas desmatadas, sob risco de prejudicar as atividades produtivas da Amazônia

Comparison of multitemporal MODIS-EVI smoothing algorithms and its contribution to crop monitoring.

Crop monitoring and more generally land use change detection are of primary importance in order to analyze spatio-temporal dynamics and its impacts on environment. This aspect is especially true in such a region as the State of Mato Grosso (south of the Brazilian Amazon Basin) which hosts an intensive pioneer front. Deforestation in this region as often been explained by soybean expansion in the last three decades. Remote sensing techniques may now represent an efficient and objective manner to quantify how crops expansion really represents a factor of deforestation through crop mapping studies. Due to the special characteristics of the soybean productions' farms in Mato Grosso (area varying between 1000 hectares and 40000 hectares and individual fields often bigger than 100 hectares), the Moderate Resolution Imaging Spectroradiometer (MODIS) data with a near daily temporal resolution and 250 m spatial resolution can be considered as adequate resources to crop mapping. Especially, multitemporal vegetation indices (VI) studies have been currently used to realize this task [1] [2]. In this study, 16-days compositions of EVI (MODQ13 product) data are used. However, although these data are already processed, multitemporal VI profiles still remain noisy due to cloudiness (which is extremely frequent in a tropical region such as south Amazon Basin), sensor problems, errors in atmospheric corrections or BRDF effect. Thus, many works tried to develop algorithms that could smooth the multitemporal VI profiles in order to improve further classification. The goal of this study is to compare and test different smoothing algorithms in order to select the one which satisfies better to the demand which is classifying crop classes. Those classes correspond to 6 different agricultural managements observed in Mato Grosso through an intensive field work which resulted in mapping more than 1000 individual fields. The agricultural managements above mentioned are based on combination of soy, cotton, corn, millet and sorghum crops sowed in single or double crop systems. Due to the difficulty in separating certain classes because of too similar agricultural calendars, the classification will be reduced to 3 classes : Cotton (single crop), Soy and cotton (double crop), soy (single or double crop with corn, millet or sorghum). The classification will use training data obtained in the 2005-2006 harvest and then be tested on the 2006-2007 harvest. In a first step, four smoothing techniques are presented and criticized. Those techniques are Best Index Slope Extraction (BISE) [3], Mean Value Iteration (MVI) [4], Weighted Least Squares (WLS) [5] and Savitzky-Golay Filter (SG) [6] [7]. These techniques are then implemented and visually compared on a few individual pixels so that it allows doing a first selection between the five studied techniques. The WLS and SG techniques are selected according to criteria proposed by [8]. Those criteria are: ability in eliminating frequent noises, conserving the upper values of the VI profiles and keeping the temporality of the profiles. Those selected algorithms are then programmed and applied to the MODIS/TERRA EVI data (16-days composition periods). Tests of separability are realized based on the Jeffries-Matusita distance in order to see if the algorithms managed in improving the potential of differentiation between the classes. Those tests are realized on the overall profile (comprising 23 MODIS images) as well as on each MODIS sub-period of the profile [1]. This last test is a double interest process because it allows comparing the smoothing techniques and also enables to select a set of images which carries more information on the separability between the classes. Those selected dates can then be used to realize a supervised classification. Here three different classifiers are tested to evaluate if the smoothing techniques as a particular effect on the classification depending on the classifiers used. Those classifiers are Maximum Likelihood classifier, Spectral Angle Mapper (SAM) classifier and CHAID Improved Decision tree. It appears through the separability tests on the overall process that the smoothed profiles don't improve efficiently the potential of discrimination between classes when compared with the original data. However, the same tests realized on the MODIS sub-periods show better results obtained with the smoothed algorithms. The results of the classification confirm this first analyze. The Kappa coefficients are always better with the smoothing techniques and the results obtained with the WLS and SG smoothed profiles are nearly equal. However, the results are different depending on the classifier used. The impact of the smoothing algorithms is much better while using the decision tree model. Indeed, it allows a gain of 0.1 in the Kappa coefficient. While using the Maximum Likelihood end SAM models, the gain remains positive but is much lower (Kappa improved of 0.02 only). Thus, this work's aim is to prove the utility in smoothing the VI profiles in order to improve the final results. However, the choice of the smoothing algorithm has to be made considering the original data used and the classifier models used. In that case the Savitzky-Golay filter gave the better results.

Carbon sequestration associated to the land-use and land-cover changes in the forestry sector in Southern Brazil.

We studied the Paraíba do Sul river watershed , São Paulo state (PSWSP), Southeastern Brazil, in order to assess the land use and cover (LULC) and their implication s to the amount of carbon (C) stored in the forest cover between the years 1985 and 2015. Th e region covers a n area of 1,395,975 ha . We used images made by the Operational Land Imager (OLI) sensor (OLI/Landsat - 8) to produce mappings , and image segmentation techniques to produce vectors with homogeneous characteristics. The training samples and the samples used for classification and validation were collected from the segmented image. To quantify the C stocked in aboveground live biomass (AGLB) , we used an indirect method and applied literature - based reference values. The recovery of 205,690 ha of a secondary Native Forest (NF) after 1985 sequestered 9.7 Tg (Teragram) of C . Considering the whole NF area (455,232 ha), the amount of C accumulated al ong the whole watershed was 3 5 .5 Tg , and the whole Eucalyptus crop (EU) area (113,600 ha) sequester ed 4. 4 Tg of C. Thus, the total amount of C sequestered in the whole watershed (NF + EU) was 3 9 . 9 Tg of C or 1 45 . 6 Tg of CO 2 , and the NF areas were responsible for the large st C stock at the watershed (8 9 %). Therefore , the increase of the NF cover contribut es positively to the reduction of CO 2 concentration in the atmosphere, and Reducing Emissions from Deforestation and Forest Degradation (REDD + ) may become one of the most promising compensation mechanisms for the farmers who increased forest cover at their farms.

Qualidade química e física do solo sob vegetação arbórea nativa e pastagens no pantanal Sul-Mato-Grossense.

A busca por aumento de produtividade da pecuária pantaneira tem motivado o desmatamento de áreas florestadas para a implantação de pastagem cultivada, gerando preocupação quanto à sustentabilidade dos recursos naturais. Para estudar alguns aspectos de uso do solo no Pantanal Sul-Mato-Grossense, este trabalho teve por objetivo avaliar as alterações nos atributos químicos e físicos do solo em razão da conversão da vegetação arbórea nativa em pastagem cultivada, bem como da submissão da pastagem nativa ao sistema de pastejo contínuo. Os ambientes de estudo consistiram de três remanescentes de vegetação arbórea nativa, representadas por uma floresta semidecídua (FN) e dois cerradões (CE1 e CE2), três pastagens de Brachiaria decumbens com 27, 26 e 11 anos de formação, implantadas em substituição a FN, CE1 e CE2, respectivamente, e uma pastagem nativa caracterizada pela predominância de Mesosetum chaseae e Axonopus purpusii, submetida a três diferentes sistemas de pastejo (contínuo e sem pastejo por 3 e 19 anos). Amostras de solo, deformadas e indeformadas, foram coletadas em cada ambiente de estudo, nas profundidades de 0?10 e 10?20 cm, com três repetições. A substituição da vegetação arbórea nativa por pastagem cultivada e o sistema de pastejo contínuo da pastagem nativa determinaram redução da qualidade química do solo, evidenciada principalmente por perdas de matéria orgânica do solo, notadamente na profundidade de 0?10 cm. Embora a qualidade física do solo também tenha apresentado tendência à redução nas pastagens cultivada e nativa sob pastejo contínuo, a densidade do solo, porosidade total, macroporosidade, microporosidade, condutividade hidráulica do solo saturado eresistência do solo à penetração não atingiram valores considerados limitantes ao desenvolvimento do sistema radicular.