8 research outputs found

    Lixiviaci贸n de nutrimentos principales en cuatro sistemas agroforestales con cultivos perennes de Turrialba, Costa Rica

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    Tesis (M. Sc) -- CATIE; UCR, Turrialba (Costa Rica), 1987Los tratamientos fueron el tipo de 谩rboles, el tipo de cultivos, la interacci贸n 谩rboles por cultivos y las 茅pocas de muestreo. Como covariables se incluyeron el ingreso de nitr贸geno al mantillo a trav茅s de la hojarasca, las precipitaciones en el per铆odo anterior al considerado, la 茅poca de poda y/o fertilizaci贸n y la distancia del punto de muestreo a los 谩rboles m谩s cercanos. El an谩lisis de las covariables mostr贸 que no existen efectos atribuibles al nitr贸geno incorporado al mantillo con la hojarasca sobre la lixiviaci贸n de nutrimentos, lo cual resulta de inter茅s en el an谩lisis de la funci贸n de las leguminosas en estos sistemas. Se concluy贸, adem谩s, que la circulaci贸n de nutrimentos en los sistemas agroforestales estudiados es muy eficiente, lo que constituye un aspecto muy favorable para la sostenibilidad productiva y ecol贸gica de los mismos

    An?lisis y perspectivas del manejo forestal en concesiones comunitarias, Pet?n, Guatemala

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    3 ilus. 8 tab. 23 ref

    Ponencias y comunicaciones. V.1. El medio forestal

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    6 tab. 25 ref. Sum. (En, Es)Se estudi?, durante el per?odo de Octubre/89 a Junio/90, la tasa de descomposici?n, la liberaci?n de nutrientes (N, P, K, Ca y Mg) y el cambio en la pared celular de la hojarasca natural. El estudio comprendi? las parcelas agroforestales con cultivos perennes: caf? (Coffea arabica) asociado con ?rboles leguminosas de sombra, por? (Erythrina poeppigiana) caf? con ?rboles maderables de sombra laurel (Cordia alliodora) cacao (Theobroma cacao) con por? y cacao con laurel, en un dise?o de bloques completos al azar con parcelas divididas ("split plot", caf? o cacao). La hojarasca del sistema cacao/laurel present? una descomposici?n lenta, la p?rdida fue de apenas 32 por ciento del peso inicial. La hojarasca de los sistemas cacao/por?, caf?/laurel y caf?/por? present? p?rdidas m?s r?pidas: 47, 49 y 58 por ciento, respectivamente. Aparentemente, los factores que contribuyeron m?s claramente a estas diferencias fueron las caracter?sticas f?sico-qu?micas de la hojarasca. El patr?n de liberaci?n de N es similar y el P es mayor a la p?rdida de peso seco. El Ca present? patr?n de liberaci?n m?s lento que el peso seco, mientras que el K se liber? m?s r?pidamente y el Mg present? un patr?n similar a la p?rdida de peso seco

    On the ability of a global atmospheric inversion to constrain variations of CO2 fluxes over Amazonia

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    The exchanges of carbon, water and energy between the atmosphere and the Amazon basin have global implications for the current and future climate. Here, the global atmospheric inversion system of the Monitoring of Atmospheric Composition and Climate (MACC) service is used to study the seasonal and interannual variations of biogenic CO2 fluxes in Amazonia during the period 2002?2010. The system assimilated surface measurements of atmospheric CO2 mole fractions made at more than 100 sites over the globe into an atmospheric transport model. The present study adds measurements from four surface stations located in tropical South America, a region poorly covered by CO2 observations. The estimates of net ecosystem exchange (NEE) optimized by the inversion are compared to an independent estimate of NEE upscaled from eddy-covariance flux measurements in Amazonia. They are also qualitatively evaluated against reports on the seasonal and interannual variations of the land sink in South America from the scientific literature. We attempt at assessing the impact on NEE of the strong droughts in 2005 and 2010 (due to severe and longer-thanusual dry seasons) and the extreme rainfall conditions registered in 2009. The spatial variations of the seasonal and interannual variability of optimized NEE are also investigated. While the inversion supports the assumption of strong spatial heterogeneity of these variations, the results reveal critical limitations of the coarse-resolution transport model, the surface observation network in South America during the recent years and the present knowledge of modelling uncertainties in South America that prevent our inversion from capturing the seasonal patterns of fluxes across Amazonia. However, some patterns from the inversion seem consistent with the anomaly of moisture conditions in 2009.The exchanges of carbon, water and energy be- tween the atmosphere and the Amazon basin have global im- plications for the current and future climate. Here, the global atmospheric inversion system of the Monitoring of Atmo- spheric Composition and Climate (MACC) service is used to study the seasonal and interannual variations of biogenic CO 2 fluxes in Amazonia during the period 2002?2010. The system assimilated surface measurements of atmospheric CO 2 mole fractions made at more than 100 sites over the globe into an atmospheric transport model. The present study adds measurements from four surface stations located in tropical South America, a region poorly covered by CO 2 ob- servations. The estimates of net ecosystem exchange (NEE) optimized by the inversion are compared to an independent estimate of NEE upscaled from eddy-covariance flux mea- surements in Amazonia. They are also qualitatively evaluated against reports on the seasonal and interannual variations of the land sink in South America from the scientific literature. We attempt at assessing the impact on NEE of the strong droughts in 2005 and 2010 (due to severe and longer-than- usual dry seasons) and the extreme rainfall conditions regis- tered in 2009. The spatial variations of the seasonal and in- terannual variability of optimized NEE are also investigated. While the inversion supports the assumption of strong spatial heterogeneity of these variations, the results reveal critical limitations of the coarse-resolution transport model, the sur- face observation network in South America during the recent years and the present knowledge of modelling uncertainties in South America that prevent our inversion from capturing the seasonal patterns of fluxes across Amazonia. However, some patterns from the inversion seem consistent with the anomaly of moisture conditions in 2009
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