La influencia de los objetivos del milenio del PNUD en la implementación de políticas publicas ambientales en Tailandia para el periodo del 2000 al 2013

La presente investigación tiene como objetivo principal, explicar la influencia de los ODM del PNUD en la implementación de políticas públicas medioambientales de Tailandia en el periodo del 2000 al 2013, basado en la teoría de los complejos de socialización y la transferencia de normas que implican un buen comportamiento medioambiental. De esta manera, demostrar que los agentes socializadores han cumplido un papel fundamental para la implementación de políticas públicas en Tailandia en su interés por cumplir con sus compromisos internacionales. Esta monografía utilizara un método cualitativo, desde el análisis de las fuentes primarias y secundarias, realizando especial énfasis en la teoría de complejos de socialización que permita un análisis descriptivo y explicativo del fenómeno.

La influencia de los objetivos del milenio del PNUD en la implementación de políticas públicas ambientales en Tailandia para el periodo del 2000 al 2013

La presente investigación tiene como objetivo principal, explicar la influencia de los ODM del PNUD en la implementación de políticas públicas medioambientales de Tailandia en el periodo del 2000 al 2013, basado en la teoría de los complejos de socialización y la transferencia de normas que implican un buen comportamiento medioambiental. De esta manera, demostrar que los agentes socializadores han cumplido un papel fundamental para la implementación de políticas públicas en Tailandia en su interés por cumplir con sus compromisos internacionales. Esta monografía utilizara un método cualitativo, desde el análisis de las fuentes primarias y secundarias, realizando especial énfasis en la teoría de complejos de socialización que permita un análisis descriptivo y explicativo del fenómeno.

Above ground biomass functions with vegetation indices for multiple use systems of two evergreen oaks

Remote sensing is a promising approach for above ground biomass estimation, as forest parameters can be obtained indirectly. The analysis in space and time is quite straight forward due to the flexibility of the method to determine forest crown parameters with remote sensing. It can be used to evaluate and monitoring for example the development of a forest area in time and the impact of disturbances, such as silvicultural practices or deforestation. The vegetation indices, which condense data in a quantitative numeric manner, have been used to estimate several forest parameters, such as the volume, basal area and above ground biomass. The objective of this study was the development of allometric functions to estimate above ground biomass using vegetation indices as independent variables. The vegetation indices used were the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Simple Ratio (SR) and Soil-Adjusted Vegetation Index (SAVI). QuickBird satellite data, with 0.70 m of spatial resolution, was orthorectified, geometrically and atmospheric corrected, and the digital number were converted to top of atmosphere reflectance (ToA). Forest inventory data and published allometric functions at tree level were used to estimate above ground biomass per plot. Linear functions were fitted for the monospecies and multispecies stands of two evergreen oaks (Quercus suber and Quercus rotundifolia) in multiple use systems, montados. The allometric above ground biomass functions were fitted considering the mean and the median of each vegetation index per grid as independent variable. Species composition as a dummy variable was also considered as an independent variable. The linear functions with better performance are those with mean NDVI or mean SR as independent variable. Noteworthy is that the two better functions for monospecies cork oak stands have median NDVI or median SR as independent variable. When species composition dummy variables are included in the function (with stepwise regression) the best model has median NDVI as independent variable. The vegetation indices with the worse model performance were EVI and SAVI.

USO DEL SUELO Y FRONTERA AGRICOLA EN EL SUDESTE DE NICARAGUA. EJEMPLO DE INTEGRACIÓN DE LOS SISTEMAS DE POSICIONAMIENTO GLOBAL, LOS SISTEMAS DE INFORMACION GEOGRAFICA Y LA TELEDETECCIÓN

Este articulo tal como reza en su titulo, reúne la aplicación de tres tecnologías diferentes en la geografía actual: Sistemas de Posicionamiento Global (SPG), Sistemas de Información Geográfica (SIG) y Teledetección, lo cual es importante para los investigadores de estos temas y para el lector común científico o no. Pero la principal finalidad del trabajo es que sus contenidos rigurosos, metodológica y teóricamente tratan de análisis histórico del uso de los recursos naturales y la evolución ecológica en uno de los países mas devastados por todo tipo de calamidad: los desastres naturales, los desastres sociales-guerra- y las enfermedades. Lo anterior lo califica como uno de los países más pobres de Centroamérica y del mundo. El sudeste de Nicaragua es la <<muestra>> de nuestros países expoliados, exportadores de materia prima, endeudados con los entes financieros y con todo tipo de debilidad interna: desempleo, bajos salarios, desigualdad en la repartición de la tierra, dominio empresarial de una <<oligarquía>>, agricultura de subsistencia, factores ambientales negativos. Como se señalará más adelante, <<a los habitantes les gusta decir que llueve trece meses al año>>. Este último factor, constituye una dificultad metodológica porque la cantidad de nubosidad impide realizar trabajos <<óptimos>>. No obstante, el trabajo deja ver las consecuencias de la deforestación para el pastoreo y algunos cultivos (monocultivos y productos para el mercado externo). En conclusión, el estudio lleva a la consecución de la distribución del uso del suelo, la delimitación de la frontera agrícola y la elaboración del mapa respectivo para 1992, elementos que permiten comparar el gran avance de la frontera agrícola observando un mapa del instituto Nicaragüense de Estudios Territoriales (INETER) de 1983.  ABSTRACT This article focuses on the application of Global Positioning Systems (GPS), Geographical Information Systems (GIS), and Remote Sensing to the study of the agricultural frontier of Southeastern Nicaragua in the elaboration of a land use map of this area. The methodology of map elaboration, bases on LANDSAT satellite imagines, is explained. A report on deforestation processes and the agrarian frontier in Nicaragua within the context of Central America is also included.

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.