947 resultados para Allometric equations


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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.

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Phytoplankton community was studied in the Bering Strait and over the shelf, continental slope, and deep-water zones of the Chukchi and Beaufort Seas in the middle of the vegetative season (July-August 2003). Its structure was analyzed in relation to ice conditions and seasonal patterns of water warming, stratification, and nutrient concentrations. Overall variations in phytoplankton abundance from 200 to 6000000 cells/l and biomass from 0.1 to 444.1 µg C/l.were estimated. The bulk of phytoplankton cells concentrated in the seasonal picnocline at depths 10-25 m. The highest values of cell abundance and biomass were recorded in regions influenced by inflow of Bering Sea waters or characterized by intense hydrodynamics, such as the Bering Strait, Barrow Canyon, and the outer shelf and slope of the Chukchi Sea. In the middle of the vegetative season, phytoplankton in the study region of the Western Arctic proved to comprise three successional (seasonal) assemblages: early spring, late spring, and summer assemblages. Their spatial distribution was dependent mainly on local features of hydrological and nutrient regimes rather than on general latitudinal trends of seasonal succession characteristic of arctic ecosystems.

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La importancia de la Biomasa a nivel mundial, ha llevado a que más de 130 países celebren el protocolo de Kioto sobre el cambio climático dictaminando como objetivo la reducción de las emisiones de seis gases de efecto invernadero y tres gases industriales fluorados, así como la incorporación de la fijación del CO2 como un objetivo dentro de los criterios de gestión de bosques. Entre las metodologías no destructivas para estimación de biomasa, aquí desarrolladas se describen tres técnicas que varios autores han propuesto para calcular los valores de biomasa y carbono, tal como el uso de ecuaciones alométricas por medio de la medición de variables dasométricas como el DAP, la aplicación de la teoría de huecos (v.g. DHP, TRAC), y la obtención de biomasa mediante información radar. Las imágenes radar proporcionan una clara ventaja al poder ser adquiridas en cualquier momento del día e independientemente de las condiciones climatológicas. Se han adquirido dos imágenes de sensores diferentes, tal como ALOSPALSAR que trabaja en la banda L y RADARSAT-2 que trabaja en la banda C, se aplica la metodología descrita por Saatchi et al. (2007), desarrollando los algoritmos semiempíricos propuestos para la estimación de biomasa del fuste (Ws) y biomasa de la copa (Wc), obteniendo los coeficientes a partir de información adquirida en campo. ABSTRACT The importance of biomass worldwide has led to more than 130 countries to celebrate the Kyoto Protocol, aimed at reducing emissions of six greenhouse gases and three fluorinated industrial gases, and the incorporation of the fixation of CO2 as an objective within forest management criteria. Among the non-destructive methods for estimating biomass, three techniques were developed. These have been described by some authors, as the use of allometric equations by measuring forest variables such as the DAP, the application of the Gap Theory (e.g. DHP, TRAC), as well as deriving biomass by radar information. The radar images provide a clear advantage since they can be gathered at any time of the day regardless of the weather conditions. For this purpose, two radar products have acquired from different sensors, such as ALOSPALSAR operating on L frequency band and RADARSAT-2 operating on C frequency band. The methodology applied in this work is described in Saatchi et al. (2007), that develop semiempirical algorithms for estimating stem biomass (Ws) and crown biomass (Wc). The corresponding coefficients are determined by means of regression procedures using field information derived from allometric and radiation measurements.

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A atividade humana tem contribuído com as emissões de gases de efeito estufa (GEE) associadas, principalmente, com queima de combustíveis fósseis e mudanças no uso da terra. Assim, se faz necessário que sejam adotadas medidas visando o retardamento dos efeitos das mudanças climáticas. As florestas exercem papel essencial no balanço de carbono principalmente por funcionarem como sumidouros de CO2. Por outro lado, se desmatadas, promovem emissões e liberam parte do carbono estocado. A quantidade de biomassa florestal e o teor de carbono podem variar em função do tipo florestal, bem como de sua localização. Entretanto, fator importante diz respeito à confiabilidade dos dados mensurados neste tipo de pesquisa. A biomassa e o carbono da parte aérea podem ser determinados via método destrutivo, ou estimados via método não destrutivo. A construção do Rodoanel Mário Covas trecho norte e a supressão de uma área de Mata Atlântica possibilitou a realização de estudo de biomassa da parte aérea via método destrutivo. O objetivo deste trabalho foi estudar o tamanho e forma de parcelas, a intensidade amostral, quantificar a biomassa e o carbono na parte aérea, comparar métodos destrutivos e não destrutivos para a quantificação de biomassa e carbono na parte aérea, estudar a variação da densidade básica da madeira das espécies nas diferentes classes de DAP e grupos sucessionais e comparar as medidas de altura total e DAP obtidas a campo no inventário com as medidas coletadas após o corte. O tamanho mais conveniente de parcela foi 400 m 2, com forma retangular e dimensão de 10 x 40 m. A intensidade amostral variou entre 39 e 75 unidades amostrais. A biomassa da parte aérea obtida, via método destrutivo, foi de 188,3 Mg ha-1 e o carbono, 85,1 Mg ha-1. A biomassa estimada por equações alométricas da literatura foi subestimada, quando comparada ao valor real, obtido via método destrutivo. As menores classes de DAP apresentaram as maiores densidades básicas da madeira. A densidade básica foi 0,488 g cm-3 na média das espécies. A porcentagem de carbono contida nos troncos e galhos não diferiu entre as classes de DAP. O teor de carbono foi 45,41%, na média dos troncos e galhos. Espécies pioneiras acumularam maior quantidade de biomassa e carbono nos galhos e apresentaram maior densidade básica que as não pioneiras. A utilização dos dados coletados na fase de inventário e após o corte não afetaram os valores de biomassa estimados.

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In order to build dynamic models for prediction and management of degraded Mediterranean forest areas was necessary to build MARIOLA model, which is a calculation computer program. This model includes the following subprograms. 1) bioshrub program, which calculates total, green and woody shrubs biomass and it establishes the time differences to calculate the growth. 2) selego program, which builds the flow equations from the experimental data. It is based on advanced procedures of statistical multiple regression. 3) VEGETATION program, which solves the state equations with Euler or Runge-Kutta integration methods. Each one of these subprograms can act as independent or as linked programs.

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Measurements of tree heights and crown sizes are essential in long-term monitoring of spatially distributed forests to assess the health of forests over time. In Switzerland, in 1994 and 1997, more than 4'500 trees have been recorded in a 8x8 km plot within the Sanasilva Inventory, which comprises the Swiss Level I sites of the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests' (ICP Forests). Tree heights and crown sizes were measured for the dominant and co-dominant trees (n = 1,723), resulting in a data set from 171 plots in Switzerland, spreading over a broad range of climatic gradient and forest characteristics (species recorded = 20). Average tree height was 22.1 m, average DBH 34.6 cm and crown diameter 6.5 m. The data set presented here is open to use and shall foster research in allometric equation modelling.

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En République Démocratique du Congo (RDC), les savanes couvrent 76,8 millions d’hectares et constituent le second type d’écosystème après les forêts denses qui représentent 10% des forêts au niveau mondial. Ces formations herbeuses et arbustives offrent des potentialités importantes de séquestration du dioxyde de carbone pouvant contribuer par le fait même à la lutte contre le réchauffement climatique. C’est dans cette optique que se situe cette thèse intitulée « Évolution naturelle de savanes mises en défens à Ibi-village sur le plateau des Bateke en République Démocratique du Congo» dans le cadre du projet puits carbone d’IBI-Bateke. L’objectif général de notre recherche est d’étudier l’évolution naturelle en absence de feu de savanes situées dans des zones climatiques avec précipitations abondantes. Le plateau des Bateke nous a servi d’analyse de cas. Les inventaires floristiques et dendrométriques de la strate arbustive et arborescente de nos dispositifs hiérarchiques, ont permis de suivre ce processus naturel en tenant compte du gradient écologique dans les trois types de formations végétales (îlot forestier, la galerie forestière et la plantation d’Acacia auriculiformis). Nous avons mis en défens des savanes arbustives du plateau des Bateke pour étudier leur évolution naturelle vers une forêt, leur établissement, qualité, régénération forestière et en déterminer le taux de séquestration du carbone à l’aide des équations allométriques de Chave et al. (2005). Nous avons obtenu des valeurs moyennes de 107,477 t/ha de biomasse totale soit 51,05 Mg C/ha dans la galerie forestière, 103,772 t/ha de biomasse totale soit 49,29 Mg C/ha dans l’Îlot forestier, et 22,336 t/ha de biomasse totale soit 10,60 Mg C/ha dans la plantation. La mise en défens a stimulé l’installation des espèces forestières, et par le fait même accéléré la production de biomasse et donc la fixation de carbone. La comparaison de la richesse et la diversité spécifiques de l’Îlot et la galerie montre 22 familles botaniques inventoriées avec 55 espèces dans l’îlot forestier contre 27 familles dont 58 espèces dans la galerie. L’analyse canonique réalisée entre les variables de croissance et les variables environnementales révèle qu’il existe effectivement des relations fortes d’interdépendance entre les deux groupes de variables considérées. Cette méthodologie appropriée à la présente étude n’avait jamais été évoquée ni proposée par des études antérieures effectuées par d’autres chercheurs au plateau des Bateke. Mots Clés : Galerie forestière, Îlot forestier, mise en défens, plantation d’Acacia auriculiformis, reforestation, régénération naturelle, République Démocratique du Congo, savanes.

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Quantification of predator-prey body size relationships is essential to understanding trophic dynamics in marine ecosystems. Prey lengths recovered from predator stomachs help determine the sizes of prey most influential in supporting predator growth and to ascertain size-specific effects of natural mortality on prey populations (Bax, 1998; Claessen et al., 2002). Estimating prey size from stomach content analyses is often hindered because of the degradation of tissue and bone by digestion. Furthermore, reconstruction of original prey size from digested remains requires species-specific reference materials and techniques. A number of diagnostic guides for freshwater (Hansel et al., 1988) and marine (Watt et al., 1997; Granadeiro and Silva, 2000) prey species exist; however they are limited to specific geographic regions (Smale et al., 1995; Gosztonyi et al., 2007). Predictive equations for reconstructing original prey size from diagnostic bones in marine fishes have been developed in several studies of piscivorous fishes of the Northwest Atlantic Ocean (Scharf et al., 1998; Wood, 2005). Conversely, morphometric relationships for cephalopods in this region are scarce despite their importance to a wide range of predators, such as finfish (Bowman et al., 2000 ; Staudinger, 2006), elasmobranchs (Kohler, 1987), and marine mammals (Gannon et al., 1997; Williams, 1999).

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We propose a new equation to describe the relation between otolith length (OL) and somatic length (fork length [FL]) of fish for the entire lifespan of the fish. The equation was developed by applying a mathematical smoothing method based on an allometric equation with a constant term for walleye pollock (Theragra chalcogramma) —a species that shows an extended longevity (>20 years). The most appropriate equation for defining the relation between OL and FL was a four-phase allometric smoothing function with three inflection points. The inflection points correspond to the timing of settlement of walleye pollock, changes in sexual maturity, and direction of otolith growth. Allometric smoothing functions describing the relation between short otolith radius and FL, long otolith radius and FL, and FL and body weight were also developed. The proposed allometric smoothing functions cover the entire lifespan of walleye pollock. We term these equationsallometric smoothing functions for otolith and somatic growth over the lifespan of walleye pollock.”

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The quantity and distribution of vegetal biomass are important aspects to consider in ecosystem studies. However, little information is available about Brazil's Pantanal woodland savannas. This work involved the development of regression equations of the aerial biomass and wood volume of native tree species in a region of woodland savanna on Rio Negro farm in the Pantanal of Nhecolandia, Brazil. Samples were taken from 10 trees of each of five species: Protium heptaphyllum (Aub1.) Marchand, Magonia pubescens A. St.-Hil., Diptychandra aurantiaca Tul., Terminalia argentea Mart. and Zucc. and Licania minutiflora (Sagot) Fritsch and from a miscellaneous group of I I different species. Linear and nonlinear regression analyses were developed relating the diameter at breast height to the dry weight of wood, branches and leaves, wood volume and total aerial biomass. All the regressions showed a significance of P < 0.05 and an R-2 close to or above 0.8. The biomass curve predicted by linear regression analysis of the studied species was similar to the nonlinear regression, with the exception of L. minutiflora and the miscellaneous group. The breast height diameter proved a good choice for estimating biomass and wood volume. The estimated wood volume and biomass of the Pantanal woodland savanna is crucial information for understanding the carbon cycle and for ensuring the region's conservation and sustainable use. (c) 2006 Elsevier B.V. All rights reserved.

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This research work analyses techniques for implementing a cell-centred finite-volume time-domain (ccFV-TD) computational methodology for the purpose of studying microwave heating. Various state-of-the-art spatial and temporal discretisation methods employed to solve Maxwell's equations on multidimensional structured grid networks are investigated, and the dispersive and dissipative errors inherent in those techniques examined. Both staggered and unstaggered grid approaches are considered. Upwind schemes using a Riemann solver and intensity vector splitting are studied and evaluated. Staggered and unstaggered Leapfrog and Runge-Kutta time integration methods are analysed in terms of phase and amplitude error to identify which method is the most accurate and efficient for simulating microwave heating processes. The implementation and migration of typical electromagnetic boundary conditions. from staggered in space to cell-centred approaches also is deliberated. In particular, an existing perfectly matched layer absorbing boundary methodology is adapted to formulate a new cell-centred boundary implementation for the ccFV-TD solvers. Finally for microwave heating purposes, a comparison of analytical and numerical results for standard case studies in rectangular waveguides allows the accuracy of the developed methods to be assessed.