Geoprocessamento aplicado na distribuição espacial da capacidade de uso de uma microbacia

The present study aimed to show the spatial distribution of the Rochas watershed (Avaré-SP, Brazil) soil use capacity using the Idrisi geographical information system in order to contribute to a better territorial organization and the planning of the appropriate soil occupation. The obtained results using this methodology showed that most of the Rocha watershed areas are from the following groups: dystrophic yellow-red latosol (36.64%), eutroferric and distroferric red latosol (30.30%) with sandy texture. There was a predominance of areas with slope classes of 0-12%, plain to wavy relief (61.37% of the watershed area) showing that these areas are appropriate for annual culture plantations with wide use of machinery. Most of these areas were classified as class IV (73.79%) as to use capacity. In the studied area the following subclasses of land use capacity were found: IIe, s; IIIe; IVe; IVs; IVe,s; VIe and VIIe. Capacity subclasses IVe; IVe,s; IVs and Vie were the most significant because they are areas that can be used for agriculture but subject to severe soil impoverishment if there are no special care mainly for annual cultures. The Idrisi geographical information system was efficient to determine soil use capacity of the Rocha's watershed showing that the use of geoprocessing tools makes data analysis easier and faster, allowing digital data storage for future analysis uses mainly for territorial planning and environmental studies.

Geoprocessamento aplicado na distribuição espacial da capacidade do uso na microbacia do Córrego dos Rochas, Avaré (SP)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estimativa de parâmetros estruturais de áreas de produção de eucalipto através de imagens de satélite na região de Botucatu /SP

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Relación precipitación-escorrentía y número de curva bajo diferentes condiciones de uso del suelo: : cuenca modal del sistema serrano de La Ventana, Argentina

La metodología del número de la curva (NC) es la más empleada para transformar la precipitación total en precipitación efectiva. De esta manera se constituye en una herramienta de gran valor para realizar estudios hidrológicos en cuencas hidrográficas, fundamentalmente cuando hay una deficiencia de registros extensos y confiables. Esta metodología requiere del conocimiento del tipo y uso de suelo de la cuenca en estudio y registros pluviográficos. En el presente trabajo se aplicó el procesamiento de imágenes LANDSAT para la zonificación de la vegetación y uso del suelo en la cuenca del Arroyo Pillahuinco Grande (38° LS y 61° 15' LW), ubicada sobre el sistema serrano de La Ventana, en el sudoeste de la provincia de Buenos Aires, Argentina. El análisis de su interrelación generó los valores de NC y coeficiente de escorrentía (CE). El procesamiento digital de la base de datos raster georreferenciada se realizó con aplicación de herramientas de sistema de información geográfica (Idrisi Kilimanjaro). El análisis de regresión múltiple efectuado a las variables generó un R2 que explica el 89,77 % de la variabilidad de CE (a < 0,01). Los resultados se exponen a nivel diagnóstico y zonificación del NC, donde la mayor influencia de la escorrentía se relaciona con las variables cobertura vegetal y uso del suelo.

Caracterização de unidades de manejo (biótopos) na futura unidade de conservação ambiental da UFRGS, Porto Alegre, RS : uma contribuição com bases na ecologia de paisagem

Para a caracterização dos biótopos naturais da futura Unidade de Conservação (UC) do Morro Santana (Porto Alegre, RS) foi realizado o macrozoneamento da área de estudo utilizando-se a cobertura com fitofisionomias campestres e florestais nativas e as variáveis do meio físico: declividade, altitude e exposição solar. Em quatro macrozonas campestres e em nove florestais, foram realizados estudos fitossociológicos e estatísticos para definir as unidades e sub-unidades vegetais presentes e a relação destas com a variável distância aos cursos d’água, caracterizando assim os onze biótopos naturais da área de estudo. Os tipos naturais de uso e cobertura do solo ocupam 51,6% da área do morro e as categorias de uso antrópico cobrem 48,4%. As formações de campo nativo do Morro Santana foram caracterizadas a partir da estrutura da vegetação dominante fisionomicamente, por duas unidades e quatro sub-unidades de vegetação, sendo que a unidade Aristida filifolia - Axonopus sp1 obteve a maior freqüência e densidade, não ocorrendo em apenas uma macrozona. A unidade de vegetação Guapira opposita - Casearia sylvestris ocorreu em todas as macrozonas arbóreas amostradas e caracteriza a estrutura da vegetação dominante fisionomicamente, nestas formações O método seguiu o cruzamento de informações espacializadas utilizando o sistema de informação geográfica (SIG) Idrisi, versão 14.02 (Kilimanjaro). Uma nova análise conferiu valores ecológicos às áreas com cobertura campestre e florestal nativas do morro a partir dos parâmetros relativos à: climacidade das espécies presentes nas unidades e sub-unidades de vegetação, naturalidade das comunidades vegetais presentes e índices da configuração estrutural da paisagem (tamanho e forma das manchas e distância de áreas urbanas). Foram então somados os valores ecológicos de cada parâmetro e estabelecidas as quatro zonas de caracterização ecológica, que são: núcleo, extensão do núcleo, tamponamento e ligação, em ordem decrescente de valor ecológico. Os biótopos de formações campestres encontram-se com melhor grau de conservação em relação aos florestais, por comporem a maior parte da zona núcleo. As zonas de caracterização ecológica servem como importante ferramenta para a realização do plano de manejo da unidade de conservação.

Determinação da capacidade de uso da terra do município de São Manuel (SP), obtido por meio do sistema de informações geográficas (SIG) - IDRISI

Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA

Adaptation to Changes in the Coffee Value Chain and the Price of Coiffee among Coffee Producers in Two Villages in Kilimanjaro, Tanzania

Market liberalization in Tanzania has eroded the monopoly of the cooperative unions by allowing private coffee buyers (PCBs) to compete with them on equal footing. Similarly, farmers groups and primary societies are now allowed to sell coffee at auction. Thus, farmers have various options for selling their coffee. Similarly, the coffee industry has experienced large fluctuations in prices and stagnation in production. How do farmers react to these changes? Can and do farmers profit from different market conditions and sell to different traders at the lower end of the value chain, or do they remain with cooperatives or farmers groups? This study was conducted in Mruwia and Mshiri villages in Moshi Rural district. Whereas Mshiri village remains attached to the Kilimanjaro Native Cooperative Union (KNCU), Mruwia has detached from this organization and sells coffee independently. The sample (103) was randomly selected from the coffee farmers in the two villages. Data were collected through surveys, focus group discussions (FGDs), and socio-anthropological methods (participant-observation, biographies, and thematic interviews). Results indicate that the selection of whom to sell coffee depends largely on farmers’ dependence on coffee and prices, other benefits accrued, and whether the initial costs are covered by buyers. Additionally, most respondents did not sell coffee to PCBs. Thus, prices, the institutional infrastructure, and the structure of local communities were important when making decisions about how and with whom to trade.

Forest structure and composition of previously selectively logged and non-logged montane forests at Mt. Kilimanjaro

The montane forests of Mount Kilimanjaro in Tanzania have been subjected to a long history of selective logging. However, since 1984 logging of indigenous trees is prohibited. Today, these forests allow us to evaluate the long-term effects of selective logging. We mapped the height and diameter at breast height (DBH) of all trees >10 cm DBH on 10 sites of 0.25 ha. Five sites represent non-logged forests, another five selectively logged forests. We tested whether forests were still visibly affected 30–40 years after selective logging in terms of their forest structure and tree diversity. Additionally we compared tree densities of different species guilds, including disturbance-indicator species, late-successional species and main timber species. Furthermore, we specifically compared the community size distributions of selectively logged and non-logged forests, first across all species and then for the most important timber species, Ocotea usambarensis, alone. 30–40 years after selective logging forests still showed a higher overall stem density, mainly due to higher relative abundances of small trees (<50 cm DBH) in general, and higher densities of small size class stems of late-successional species specifically. For O. usambarensis, the selectively logged sites harboured higher relative abundances of small trees and lower relative abundances of harvestable trees. The higher relative abundance of small O. usambarensis-stems in selectively logged forests appears promising for future forest recovery. Thus, outside protected areas, selective logging may be a sustainable management option if logging cycles are considerably longer than 40 years, enough large source trees remain, and the recruiting O. usambarensis individuals find open space for their establishment.

Effects of elevation and land use on the biomass of trees, shrubs and herbs at Mount Kilimanjaro

The protection and sustainable management of forest carbon stocks, particularly in the tropics, is a key factor in the mitigation of global change effects. However, our knowledge of how land use and elevation affect carbon stocks in tropical ecosystems is very limited. We compared aboveground biomass of trees, shrubs and herbs for eleven natural and human-influenced habitat types occurring over a wide elevation gradient (866–4550 m) at the world's highest solitary mountain, Mount Kilimanjaro. Thanks to the enormous elevation gradient, we covered important natural habitat types, e.g., savanna woodlands, montane rainforest and afro-alpine vegetation, as well as important land-use types such as maize fields, grasslands, traditional home gardens, coffee plantations and selectively logged forest. To assess tree and shrub biomass with pantropical allometric equations, we measured tree height, diameter at breast height and wood density and to assess herbaceous biomass, we sampled destructively. Among natural habitats, tree biomass was highest at intermediate elevation in the montane zone (340 Mg ha−1), shrub biomass declined linearly from 7 Mg ha−1 at 900 m to zero above 4000 m, and, inverse to tree biomass, herbaceous biomass was lower at mid-elevations (1 Mg ha−1) than in savannas (900 m, 3 Mg ha−1) or alpine vegetation (above 4000 m, 6 Mg ha−1). While the various land-use types dramatically decreased woody biomass at all elevations, though to various degrees, herbaceous biomass was typically increased. Our study highlights tropical montane forest biomass as important aboveground carbon stock and quantifies the extent of the strong aboveground biomass reductions by the major land-use types, common to East Africa. Further, it shows that elevation and land use differently affect different vegetation strata, and thus the matrix for other organisms.

Vertical and Horizontal Vegetation Structure across Natural and Modified Habitat Types at Mount Kilimanjaro

In most habitats, vegetation provides the main structure of the environment. This complexity can facilitate biodiversity and ecosystem services. Therefore, measures of vegetation structure can serve as indicators in ecosystem management. However, many structural measures are laborious and require expert knowledge. Here, we used consistent and convenient measures to assess vegetation structure over an exceptionally broad elevation gradient of 866–4550m above sea level at Mount Kilimanjaro, Tanzania. Additionally, we compared (human)-modified habitats, including maize fields, traditionally managed home gardens, grasslands, commercial coffee farms and logged and burned forests with natural habitats along this elevation gradient. We distinguished vertical and horizontal vegetation structure to account for habitat complexity and heterogeneity. Vertical vegetation structure (assessed as number, width and density of vegetation layers, maximum canopy height, leaf area index and vegetation cover) displayed a unimodal elevation pattern, peaking at intermediate elevations in montane forests, whereas horizontal structure (assessed as coefficient of variation of number, width and density of vegetation layers, maximum canopy height, leaf area index and vegetation cover) was lowest at intermediate altitudes. Overall, vertical structure was consistently lower in modified than in natural habitat types, whereas horizontal structure was inconsistently different in modified than in natural habitat types, depending on the specific structural measure and habitat type. Our study shows how vertical and horizontal vegetation structure can be assessed efficiently in various habitat types in tropical mountain regions, and we suggest to apply this as a tool for informing future biodiversity and ecosystem service studies.