Typologies and spatialization of agricultural production systems in Rondônia, Brazil: linking land use, socioeconomics and territorial configuration.

The current Amazon landscape consists of heterogeneous mosaics formed by interactions between the original forest and productive activities. Recognizing and quantifying the characteristics of these landscapes is essential for understanding agricultural production chains, assessing the impact of policies, and in planning future actions. Our main objective was to construct the regionalization of agricultural production for Rondônia State (Brazilian Amazon) at the municipal level. We adopted a decision tree approach, using land use maps derived from remote sensing data (PRODES and TerraClass) combined with socioeconomic data. The decision trees allowed us to allocate municipalities to one of five agricultural production systems: (i) coexistence of livestock production and intensive agriculture; (ii) semi-intensive beef and milk production; (iii) semi-intensive beef production; (iv) intensive beef and milk production, and; (v) intensive beef production. These production systems are, respectively, linked to mechanized agriculture (i), traditional cattle farming with low management, with (ii) or without (iii) a significant presence of dairy farming, and to more intensive livestock farming with (iv) or without (v) a significant presence of dairy farming. The municipalities and associated production systems were then characterized using a wide variety of quantitative metrics grouped into four dimensions: (i) agricultural production; (ii) economics; (iii) territorial configuration, and; (iv) social characteristics. We found that production systems linked to mechanized agriculture predominate in the south of the state, while intensive farming is mainly found in the center of the state. Semi-intensive livestock farming is mainly located close to the southwest frontier and in the north of the state, where human occupation of the territory is not fully consolidated. This distributional pattern reflects the origins of the agricultural production system of Rondônia. Moreover, the characterization of the production systems provides insights into the pattern of occupation of the Amazon and the socioeconomic consequences of continuing agricultural expansion.

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)

Direct nitrous oxide (N2O) fluxes from soils under different land use in Brazil: a critical review.

Brazil typifies the land use changes happening in South America, where natural vegetation is continuously converted into agriculturally used lands, such as cattle pastures and croplands. Such changes in land use are always associated with changes in the soil nutrient cycles and result in altered greenhouse gas fluxes from the soil to the atmosphere. In this study, we analyzed literature values to extract patterns of direct nitrous oxide (N2O) emissions from soils of different ecosystems in Brazil. Fluxes from natural ecosystems exhibited a wide range: whereas median annual flux rates were highest in Amazonian and Atlantic rainforests (2.42 and 0.88 kg N ha-1), emissions from cerrado soils were close to zero. The decrease in emissions from pastures with increasing time after conversion was associated with pasture degradation. We found comparatively low N2O-N fluxes from croplands (-0.07 to 4.26 kg N ha-1 yr-1 , median 0.80 kg N ha-1 yr-1) and a low response to N fertilization. Contrary to the assumptions, soil parameters, such as pH, Corg, and clay content emerged as poor predictors for N2O fluxes. This could be a result of the formation of micro-aggregates, which strongly affect the hydraulic properties of the soil, and consequently define nitrification and denitrification potentials. Since data from croplands mainly derived from areas that had been under natural cerrado vegetation before, it could explain the low emissions under agriculture. Measurements must be more frequent and regionally spread in order to enable sound national estimates.

Supporting land use change modelling with automated monitoring of land use dynamics in the La Plata River Basin.

2008

Sensor TTC - the La Plata River basin application: policy cases, main land use change drivers and case studies.

2008

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.

Unidades de manejo para pinus: desenvolvimento e aplicação de metodologia em áreas de produção no oeste catarinense.

O presente trabalho teve por objetivos desenvolver e aplicar, no oeste catarinense, uma metodologia de estabelecimento de unidades de manejo para pinus a partir do mapeamento semi-detalhado de solos das áreas de estudo. Duas hipóteses de trabalho foram modeladas, ambas utilizando o sistema de produção de pinus local, que não faz correção da deficiência de nutrientes (ΔN): uma interpretação baseada na ausência de resposta ao melhoramento do ΔN, ou seja, que os tetos de produtividade independem dessa ação, sendo esse o modelo atual; e uma segunda interpretação considerando que a ausência do melhoramento do ΔN interfere nos tetos de produtividade do cultivo de pinus para as terras estudadas, modelo que representa um novo paradigma a ser testado. Cada polígono do mapa de solos detalhado foi associado a uma base de dados, que permitiu a definição dos graus de limitação das terras (ΔN, deficiência de água, deficiência de oxigênio, suscetibilidade à erosão e impedimentos ao manejo) para o cultivo do pinus. Conjuntos de critérios, considerando os diferentes graus de limitação alcançados para cada faixa de terra (polígonos do mapeamento de solos), definiram os guias para as classes de unidades de manejo para o cultivo de pinus. O mapeamento de solos semi-detalhado das áreas de produção identificou áreas mapeáveis associadas às classes de solos, em nível de ordem, Latossolos, Nitossolos, Cambissolos, Neossolos e Gleissolos. Essas cinco ordens geraram 36 unidades de mapeamento de solos. As limitações associadas aos atributos profundidade efetiva, relevo e presença de pedregosidade/rochosidade fizeram dos impedimentos ao manejo os fatores de limitação mais importantes para o cultivo de pinus das áreas mapeadas. Os quantitativos das classes de unidades de manejo para pinus dependeram de se considerar ou não a hipótese de resposta ao melhoramento do ΔN no sistema de manejo em uso na região. Na hipótese da ausência de resposta ao melhoramento do ΔN para a produção de pinus, temos os seguintes quantitativos: Apta superior com 113,14 ha (ou 7,5% da área mapeada); Apta inferior com 644,73 (ou 42,8% da área mapeada); Marginal superior com 408,35 (ou 27,1% da área mapeada); Marginal inferior com 277,58 ha (ou 18,4% da área mapeada) e Inapta com 63,2 ha (ou 4,2% da área mapeada). Ao se considerar a hipótese de uma resposta positiva ao melhoramento de ΔN para a produção de pinus e que o atual sistema de manejo não faz esse melhoramento, ocorre uma piora dos resultados, com muitas terras migrando das classes de unidades de manejo Apta (superior e inferior) para a classe Marginal superior.

Territorial planning of Juquiá municipality (State of São Paulo, Brazil), using an integrated analysis of the land cover and slope.

2008