976 resultados para aboveground biomass


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Selection of common bean (Phaseolus vulgaris L.) cultivars with enhanced root growth would be a strategy for increasing P uptake and grain yield in tropical soils, but the strong plasticity of root traits may compromise their inclusion in breeding programs. The aim of this study was to evaluate the magnitude of the genotypic variability of root traits in common bean plants at two ontogenetic stages and two soil P levels. Twenty-four common bean genotypes, comprising the four growth habits that exist in the species and two wild genotypes, were grown in 4 kg pots at two levels of applied P (20 and 80 mg kg-1) and harvested at the stages of pod setting and early pod filling. Root area and root length were measured by digital image analysis. Significant genotype × P level and genotype × harvest interactions in analysis of variance indicate that the genotypic variation of root traits depended on soil nutrient availability and the stage at which evaluation was made. Genotypes differed for taproot mass, basal and lateral root mass, root area and root length at both P levels and growth stages; differences in specific root area and length were small. Genotypes with growth habits II (upright indeterminate) and III (prostrate indeterminate) showed better adaptation to limited P supply than genotypes of groups I (determinate) and IV (indeterminate climbing). Between the two harvests, genotypes of groups II and III increased the mass of basal and lateral roots by 40 and 50 %, respectively, whereas genotypes of groups I and IV by only 7 and 19 %. Values of the genotypic coefficient of determination, which estimates the proportion of phenotypic variance resulting from genetic effects, were higher at early pod filling than at pod setting. Correlations between shoot mass and root mass, which could indicate indirect selection of root systems via aboveground biomass, were higher at early pod filling than at pod setting. The results indicate that selection for root traits in common bean genotypes should preferentially be performed at the early pod-filling stage.

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The objective of this work was to determine the effect of incorporation timing of the velvet bean (Stizolobium cinereum) (GM) on both organic broccoli yield and N status. Mineral N content in the soil, biologically fixed N recovery by broccoli, GM biomass decomposition and N release kinetics were also determined. Plots were fertilized with 12 Mg ha-1 of organic compost and received GM either at 0, 15, 30 or 45 days after transplant. Other treatments were compost (12 or 25 Mg ha-1), GM, mineral fertilizers and control (no fertilizer). The data were collected in four completely randomized blocks. GM decomposition increased mineral N content in soil as rapidly as mineral fertilizer or the supply of 25 Mg ha-1 of compost. The N half-life in GM (24 days) is smaller than the mass half-life (35 days) and the biological fixation contributed with 23.6% of N present in the aboveground biomass of broccoli. The result suggests a higher synchrony between the crop relative growth rate and N release from the GM when incorporated at crop early growth stage. The incorporation of GM until 15 days after transplanting replaces 50% of the highest compost dose, without yield loss.

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Field trial was conducted with the aim of utilizing allelopathic crop residues to reduce the use of synthetic herbicides in broad bean (Vicia faba) fields. Sunflower residue at 600 and 1,400 g m-2 and Treflan (trifluralin) at 50, 75 and 100% of recommended dose were incorporated into the soil alone or in combination with each other. Untreated plots were maintained as a control. Herbicide application in plots amended with sunflower residue had the least total weed count and biomass, which was even better than herbicide used alone. Integration of recommended dose of Treflan with sunflower residue at 1,400 g m-² produced maximum (987.5 g m-2) aboveground biomass of broad bean, which was 74 and 36% higher than control and recommended herbicide dose applied alone, respectively. Combination of herbicide and sunflower residue appeared to better enhance pod number and yield per unit area than herbicide alone. Application of 50% dose of Treflan in plots amended with sunflower residue resulted in similar yield advantage as was noticed with 100% herbicide dose. Chromatographic analysis of residue-infested field soil indicated the presence of several phytotoxic compounds of phenolic nature. Periodic data revealed that maximum suppression in weed density and dry weight synchronized with peak values of phytotoxins observed 4 weeks after incorporation of sunflower residues. Integration of sunflower residues with lower herbicide rates can produce effective weed suppression without compromising yield as a feasible and environmentally sound approach in broad bean fields.

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Le but de cette étude est de comprendre l’effet d’une irrigation par les eaux usées et /ou de la fertilisation par les engrais chimiques sur la productivité aérienne et souterraine d’une plantation de saule Salix miyabeana SX67 en CICR dans un contexte de filtre végétal. Nous avons d’une part évalué l’impact de diverses doses d’eau usées et/ou de la fertilisation minérale sur les rendements en biomasse ligneuse d’une culture de saules au cours d’un cycle de croissance de deux ans. D’autre part et pour la même période nous avons comparé le développement racinaire (biomasse, morphologie et distribution dans le sol) suite aux divers traitements. Les résultats ont montré qu’au terme de deux ans de croissance, les traitements par les eaux usées aussi bien que celle par les engrais a permis l’augmentation des rendements de la biomasse aérienne de notre culture de saules avec un effet plus prononcé suite au traitements des eaux usées qu’à celui du fertilisant chimique. Nous avons mesuré des productivités en biomasse aussi élevées que 39,4 Mg ha-1 et 54,7 Mg ha-1 et ce pour les parcelles qui ont reçu la plus grande quantité d'eaux usées, respectivement pour les saules non fertilisé et fertilisé (D3-NF et D3-F). La majeure partie du système racinaire était en superficie avec 92-96% des racines (racine fine et racine grosse) concentrées dans les premiers 40 cm de sol et nous avons trouvé que la biomasse des racines fines était comprise entre 1,01 et 1,99 Mg ha-1. Généralement la fertilisation chimique n’a pas eu d’effet sur les rendements en biomasse des racines totales et/ou fines. Bien que l’irrigation par les eaux usées ait entraîné une réduction statistiquement significative de la biomasse racinaire, néanmoins cette réduction n'était pas linéaire (avec une réduction de la biomasse de D0 à D1, une augmentation de D1 à D2 pour réduire de nouveau de D2 à D3). Cette tendance porte à penser qu'au-delà d'une certaine quantité d'eau et de nutriments (suite à l’irrigation par les eaux usées), le développement du système racinaire des saules est affecté négativement, et bien que la biomasse aérienne soit restée élevée sous le traitement D3, nous pensons que le développement de la plante a été quelque peu déséquilibré. Aucun changement significatif n'a été constaté dans les traits morphologiques liés à l'irrigation par les eaux usées.

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Le cycle du carbone (C) est, depuis la révolution industrielle, déstabilisé par l’introduction dans l’atmosphère de C autrefois fossilisé. Certaines mesures de mitigation prometteuses impliquent la séquestration accrue du CO2 atmosphérique dans les sols via le développement du réseau racinaire des arbres. Ce projet de recherche visait à : 1) quantifier la biomasse racinaire ligneuse produite annuellement par unité de surface par le Salix miyabeana cultivé en régie intensive à courtes rotations, 2) doser la concentration en C et en N des racines de saule en fonction de leur profondeur et de leur diamètre et 3) déterminer l’influence des propriétés pédoclimatiques du milieu sur la séquestration du carbone organique (Corg) par les racines. Pour y arriver, six souches de saules ont été excavées à partir de huit sites (n=48) et neuf carottes de recolonisation ont été implantées à cinq sites (n=45) pour évaluer la productivité racinaire fine. Les échantillons séchés ont été pesés pour quantifier la biomasse racinaire produite, et ont été analysés pour le C et le N. La productivité en biomasse racinaire ligneuse du saule en plantation pour tout le réseau d'échantillonnage varie de 0,7 – 1,8 Mg/ha/an. La proportion de C dans la biomasse racinaire s’étend de 31,3% à 50,4% et sa variance dans les tissus est expliquée par le diamètre racinaire et par les conditions environnementales des sites de provenance. Les conditions climatiques constituent la principale influence sur la production de biomasse racinaire. La variance de la biomasse racinaire est significativement contrôlée (p :0,004) par la quantité de précipitation de l’été et de l’année qui contrôlent ensemble 83,4 % du r2 ajusté. La précipitation de l’été est inversement liée à la productivité racinaire puisque les protéines expansines des racines sont stimulées par les carences hydriques du sol. La production de racines fines des plantations (1,2 à 2,4 Mg/ha/an) est, elle, plus fortement contrôlée par les conditions pédologiques du site qui expliquent 36,5% de la variance de productivité des racines fines contre 37,5% de la variance expliquée par les facteurs pédoclimatiques. Le P et le N du sol ont des rôles prépondérants sur la production de racines fines. Une disponibilité en P accrue dans le sol stimule la biomasse racinaire fine alors qu’une quantité supérieure de N dans le sol limite la croissance racinaire tout en favorisant la croissance des parties aériennes de la plante. Ce projet a permis d’améliorer notre compréhension des conditions pédologiques et climatiques qui engendrent, au Québec méridional, une productivité et une séquestration en Corg accrue dans le réseau racinaire du saule.

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Im Vordergrund der Arbeit stand die Erfassung der mikrobiellen Biomasse bzw. Residualmasse an der Wurzeloberfläche, im Rhizosphärenboden und im umgebenden Boden. Durch den Vergleich von verschiedenen Methoden zur Erfassung der mikrobiellen Biomasse wurden die Gehalte von pilzlichem und bakteriellem Kohlenstoff an der Rhizoplane und in der Rhizosphäre quantifiziert. Dabei wurde die Fumigations-Extraktions-Methode zur Erfassung der mikrobiellen Biomasse eingesetzt. Ergosterol diente als Indikator für die pilzliche Biomasse und die Aminozucker Glucosamin und Muraminsäure sollten Aufschluss geben über die bakterielle und pilzliche Biomasse bzw. Residualmasse in den drei Probenfraktionen. Dazu wurden Umrechnungsfaktoren erstellt, die zur Berechnung des bakteriellen und pilzlichen Kohlenstoffs aus den Gehalten von Muraminsäure und Pilz-Glucosamin dienten. Die Bestimmung von Aminozuckern wurde insoweit modifiziert, dass sowohl in Boden- als auch in Wurzelhydrolysaten die Messung von Glucosamin, Galactosamin, Muraminsäure und Mannosamin gleichzeitig als automatisiertes Standardverfahren mit Hilfe der HPLC erfolgen konnte. Es wurden drei Gefäßversuche durchgeführt: Im ersten Versuch wurde der Einfluss der Pflanzenart auf die mikrobielle Besiedlung der Wurzeloberflächen untersucht. Dabei wurden Wurzeln und Rhizosphärenboden von 15 verschiedenen Pflanzenarten miteinander verglichen. Im zweiten Versuch stand der Einfluss der mikrobiellen Biomasse eines Bodens auf die mikrobielle Besiedlung von Wurzeloberflächen im Vordergrund. Deutsches Weidelgras (Lolium perenne L.) wurde auf sieben verschiedenen Böden angezogen. Bei den Böden handelte es sich um sechs Oberböden, die sich hinsichtlich des Bodentyps und der Bewirtschaftungsform voneinander unterschieden, und einen Unterboden. Im dritten Versuch wurde die mikrobielle Besiedlung von Wurzeln nach teilweiser und vollständiger Entfernung der oberirdischen Biomasse beobachtet. Welsches Weidelgras (Lolium multiflorum Lam.) wurde 24 Tage nach der Aussaat beschnitten. Anschließend wurde über einen Versuchszeitraum von acht Tagen die mikrobielle Besiedlung an den Wurzeln und in den Bodenfraktionen bestimmt. Es bestätigte sich, dass der Einfluss der einzelnen Pflanzenart von entscheidender Bedeutung für die mikrobielle Besiedlung von Wurzeln ist. Bei fast allen Pflanzen wurde die mikrobielle Biomasse an den Wurzeln von Pilzen dominiert. Das Verhältnis von pilzlichem zu bakteriellem Kohlenstoff an den Wurzeln der 15 Pflanzenarten lag im Mittel bei 2,6. Bei der Betrachtung verschiedener Böden zeigte sich, dass die mikrobielle Besiedlung in tieferen Bodenschichten signifikant niedriger ist als in den Oberböden. Dabei war der Pilzanteil an der mikrobiellen Biomasse im Unterboden deutlich erhöht. Der Vergleich der Oberböden untereinander ergab, dass sowohl der Bodentyp als auch die Bewirtschaftungsform einen signifikanten Einfluss auf mikrobielle Besiedlung ausüben. Durch die teilweise oder vollständige Entfernung der oberirdischen Biomasse wurde eine Veränderung der mikrobiellen Besiedlung an den Wurzeln beobachtet. Das Verhältnis von pilzlichem zu bakteriellem Kohlenstoff sank in dem Versuchszeitraum von 2,5 auf 1,4. Dabei war die Förderung der Pilze in der Variante mit teilweise entfernter oberirdischer Biomasse relativ größer als in der Variante mit vollständig entfernter oberirdischer Biomasse. Entgegen der weit verbreiteten Annahme, dass bei den wurzelbesiedelnden Mikroorganismen die Bakterien gegenüber den Pilzen dominieren, zeigten die Ergebnisse ein gegensätzliches Bild. In allen drei Versuchen ergab sich gleichermaßen, dass sowohl im Boden als auch an den Wurzeln die Pilze gegenüber den Bakterien dominieren.

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The 21st century has brought new challenges for forest management at a time when globalization in world trade is increasing and global climate change is becoming increasingly apparent. In addition to various goods and services like food, feed, timber or biofuels being provided to humans, forest ecosystems are a large store of terrestrial carbon and account for a major part of the carbon exchange between the atmosphere and the land surface. Depending on the stage of the ecosystems and/or management regimes, forests can be either sinks, or sources of carbon. At the global scale, rapid economic development and a growing world population have raised much concern over the use of natural resources, especially forest resources. The challenging question is how can the global demands for forest commodities be satisfied in an increasingly globalised economy, and where could they potentially be produced? For this purpose, wood demand estimates need to be integrated in a framework, which is able to adequately handle the competition for land between major land-use options such as residential land or agricultural land. This thesis is organised in accordance with the requirements to integrate the simulation of forest changes based on wood extraction in an existing framework for global land-use modelling called LandSHIFT. Accordingly, the following neuralgic points for research have been identified: (1) a review of existing global-scale economic forest sector models (2) simulation of global wood production under selected scenarios (3) simulation of global vegetation carbon yields and (4) the implementation of a land-use allocation procedure to simulate the impact of wood extraction on forest land-cover. Modelling the spatial dynamics of forests on the global scale requires two important inputs: (1) simulated long-term wood demand data to determine future roundwood harvests in each country and (2) the changes in the spatial distribution of woody biomass stocks to determine how much of the resource is available to satisfy the simulated wood demands. First, three global timber market models are reviewed and compared in order to select a suitable economic model to generate wood demand scenario data for the forest sector in LandSHIFT. The comparison indicates that the ‘Global Forest Products Model’ (GFPM) is most suitable for obtaining projections on future roundwood harvests for further study with the LandSHIFT forest sector. Accordingly, the GFPM is adapted and applied to simulate wood demands for the global forestry sector conditional on selected scenarios from the Millennium Ecosystem Assessment and the Global Environmental Outlook until 2050. Secondly, the Lund-Potsdam-Jena (LPJ) dynamic global vegetation model is utilized to simulate the change in potential vegetation carbon stocks for the forested locations in LandSHIFT. The LPJ data is used in collaboration with spatially explicit forest inventory data on aboveground biomass to allocate the demands for raw forest products and identify locations of deforestation. Using the previous results as an input, a methodology to simulate the spatial dynamics of forests based on wood extraction is developed within the LandSHIFT framework. The land-use allocation procedure specified in the module translates the country level demands for forest products into woody biomass requirements for forest areas, and allocates these on a five arc minute grid. In a first version, the model assumes only actual conditions through the entire study period and does not explicitly address forest age structure. Although the module is in a very preliminary stage of development, it already captures the effects of important drivers of land-use change like cropland and urban expansion. As a first plausibility test, the module performance is tested under three forest management scenarios. The module succeeds in responding to changing inputs in an expected and consistent manner. The entire methodology is applied in an exemplary scenario analysis for India. A couple of future research priorities need to be addressed, particularly the incorporation of plantation establishments; issue of age structure dynamics; as well as the implementation of a new technology change factor in the GFPM which can allow the specification of substituting raw wood products (especially fuelwood) by other non-wood products.

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The traditional control of Imperata brasiliensis grasslands used by farmers in the Peruvian Amazon is to burn the grass. The objective of this study was to compare different methods of short-term control. Biological, mechanical, chemical and traditional methods of control were compared. Herbicide spraying and manual weeding have shown to be very effective in reducing above- and below-ground biomass growth in the first 45 days after slashing the grass, with effects persisting in the longer term, but both are expensive methods. Shading seems to be less effective in the short-term, whereas it influences the Imperata growth in the longer term. After one year shading, glyphosate application and weeding significantly reduced aboveground biomass by 94, 67 and 53%; and belowground biomass by 76, 65 and 58%, respectively, compared to control. We also found a significant decrease of Imperata rhizomes in soil during time under shading. Burning has proved to have no significant effect on Imperata growth. The use of shade trees in a kind of agroforestry system could be a suitable method for small farmers to control Imperata grasslands.

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High biomass producing plant species, such as Helianthus annuus, have potential for removing large amounts of trace metals by harvesting the aboveground biomass if sufficient metal concentrations in their biomass can be achieved. However, the low bioavailability of heavy metals in soils and the limited translocation of heavy metals to the shoots by mosthigh biomass producing plant species limit the efficiency of the phytoextraction process. Amendment of a contaminated soil with ethylene diamine letraacetic acid (EDTA) or citric acid increases soluble heavy metal concentrations, potentially rendering them more available for plant uptake. This article discusses the effects of EDTA and citric acid on the uptake of heavy metals and translocation to aboveground harvestable plant parts in Helianthus annuus. EDTA was included in the research for comparison purposes in our quest for less persistent alternatives, suitable for enhanced phytoextraction. Plants were grown in a calcareous soil moderately contaminated with Cu, Pb, Zn, and Cd and treated with increasing concentrations of EDTA (0. 1, 1, 3, 5, 7, and 10 mmol kg(-1) soil) or citric acid (0. 01, 0. 05, 0.25, 0.442, and 0.5 mol kg(-1) soil). Heavy metal concentrations in harvested shoots increased with EDTA concentration but the actual amount of phytoextracted heavy metals decreased at high EDTA concentrations, due to severe growth depression. Helianthus annuus suffered heavy metal stress due to the significantly increased bioavailable metal fraction in the soil. The rapid mineralization of citric acid and the high buffering capacity of the soil made citric acid inefficient in increasing the phytoextracted amounts of heavy metals. Treatments that did not exceed the buffering capacity of the soil (< 0.442 mol kg(-1) soil) did not result in any significant increase in shoot heavy metal concentrations. Treatments with high concentrations resulted in a dissolution of the carbonates and compaction of the soil. These physicochemical changes caused growth depression of Helianthus annuus. EDTA and citric acid added before sowing of Helianthus annuus did not appear to be efficient amendments when phytoextraction of heavy metals from calcareous soils is considered.

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Climate change science is increasingly concerned with methods for managing and integrating sources of uncertainty from emission storylines, climate model projections, and ecosystem model parameterizations. In tropical ecosystems, regional climate projections and modeled ecosystem responses vary greatly, leading to a significant source of uncertainty in global biogeochemical accounting and possible future climate feedbacks. Here, we combine an ensemble of IPCC-AR4 climate change projections for the Amazon Basin (eight general circulation models) with alternative ecosystem parameter sets for the dynamic global vegetation model, LPJmL. We evaluate LPJmL simulations of carbon stocks and fluxes against flux tower and aboveground biomass datasets for individual sites and the entire basin. Variability in LPJmL model sensitivity to future climate change is primarily related to light and water limitations through biochemical and water-balance-related parameters. Temperature-dependent parameters related to plant respiration and photosynthesis appear to be less important than vegetation dynamics (and their parameters) for determining the magnitude of ecosystem response to climate change. Variance partitioning approaches reveal that relationships between uncertainty from ecosystem dynamics and climate projections are dependent on geographic location and the targeted ecosystem process. Parameter uncertainty from the LPJmL model does not affect the trajectory of ecosystem response for a given climate change scenario and the primary source of uncertainty for Amazon 'dieback' results from the uncertainty among climate projections. Our approach for describing uncertainty is applicable for informing and prioritizing policy options related to mitigation and adaptation where long-term investments are required.

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The aim of this study was to test the impact of compost and Biochar, with or without earthworms, on the mobility and availability of metals, and on the growth of grass to re-vegetate contaminated soil from the Parys Mountain mining site, Anglesey. We also determined if the addition of earthworms compromises remediation efforts. In a laboratory experiment, contaminated soil (1343 mg Cu kg−1, 2511 mg Pb kg−1 and 262 mg Zn kg−1) was remediated with compost and/or Biochar. After 77 days Lumbricus terrestris L. earthworms were added to the treatment remediated with both compost and Biochar, and left for 28 days. L. terrestris was not able to survive in the Biochar, compost or unamended treatments. A germination and growth bioassay, using Agrostis capillaris (Common Bent) was then run on all treatments for 28 days. The combination of Biochar and compost decreased water soluble Cu (from 5.6 to 0.2 mg kg−1), Pb (0.17 to less than 0.007 mg kg−1) and Zn (3.3 to 0.05 mg kg−1) in the contaminated soil and increased the pH from 2.7 to 6.6. The addition of L. terrestris to this treatment had no effect on the concentration of the water soluble metals in the remediated soil. The compost was the only treatment that resulted in germination and growth of A. capillaris suitable for re-vegetation purposes. However, the combination of compost, Biochar (with or without L. terrestris) produced the lowest concentrations of Cu (8 mg kg−1) and Zn (36 mg kg−1) in the aboveground biomass, lower than the compost treatment (15 mgCu kg−1 and 126 mgZn kg−1). The addition of Biochar and compost both separately and as co-amendments was effective in reducing the mobility and availability of metals. The addition of L. terrestris did not re-mobilise previously sequestered metals.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The aboveground biomass content of a region can be estimated by either direct or indirect methods. Direct methods correspond to the biomass content determination with scales and extrapolation of results to larger areas. It is a destructive and very laborious procedure. Indirect methods utilize formulas whose entrance parameters are obtained from forest inventories. Forest inventories are made with the purpose to plan exploration and land use and the inventory data are frequently not suitable for biomass estimation. Problems with both methods increase in the Amazon region, where little information is available on forest biomass. The objective of this paper is to establish, by comparing the application of the indirect and direct methods in the determination of the biomass, the more appropriate indirect formulation to represent the characteristic vegetation of a region in the amazonian forest. A 0.2 hectare area was chosen, which was part of a major forest clearing experiment conducted in Tomé Açu, a town located 250 km south of Belém, the capital of the Brazilian state of Pará. The entire biomass in the area was weighted with scales during the three weeks that followed the cut of the forest in July 1994. A detailed inventory was carried out in the area and then the indirect method was applied in the data. Seven different formulas for determining biomass were used. Comparison of the data of real mass and the mass obtained through the application of the seven formulas indicated that the more suitable for the region is given by FW = α · φβ · Hγ, where FW is total fresh weight (kg), φ is the diameter at breast height (cm), H is the total height of the tree and α, β and γ are regression coefficients (equal to 0.026, 1.529 and 1.747, respectively).