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1.
Rev. peru. biol. (Impr.) ; 21(3)dic. 2014.
Article in Spanish | LILACS-Express | LILACS, LIPECS | ID: biblio-1522374

ABSTRACT

En este estudio se evaluaron los cambios en la biomasa aérea almacenada y su dinámica en el tiempo en 9 parcelas permanentes pertenecientes a la red de parcelas de RAINFOR (Red Amazónica de Inventarios Forestales) ubicadas dentro del bosque húmedo tropical de la Reserva Nacional Tambopata en la llanura Amazónica. Se tomaron datos en campo con la metodología estandarizada RAINFOR. La biomasa se estimó usando la ecuación para bosques húmedos tropicales de Chave et al. (2005). La dinámica de la biomasa se analizó separándolos por periodos inter censales a partir del año 2003 hasta el 2011. Se registraron 64 familias, 219 géneros y 531 especies. La composición florística es muy similar en todas las parcelas excepto en la parcela de pantano. Son evidentes dos grupos ligeramente distintos y aparentemente relacionados a la edad de las antiguas terrazas fluviales de la zona. La tasa de mortalidad y reclutamiento de individuos presentan valores promedio de 2.12 ± 0.52% y 1.92 ± 0.49%, respectivamente. La tasa de reemplazo es 2.02% anual. La biomasa aérea almacenada fue de 296.2 ± 33.9 t ha-1 en promedio. La dinámica de la biomasa muestra una ganancia neta total de 1.96, 1.69 y -1.23 t ha-1 para cada periodo respectivamente. Antes de la sequía de 2010 se encontró un cambio en la biomasa de 1.88 t ha-1 año-1 y post sequía fue -0.18 t ha-1 año-1 en promedio, aunque la diferencia no fue significativa. El análisis demográfico sugiere un equilibrio dinámico en las parcelas. El balance negativo de biomasa observado para el periodo 2008 - 2011 puede deberse a la sequía del 2010, donde la mitad de las parcelas monitoreadas tuvieron una disminución en las ganancias netas de la biomasa por mortalidad de individuos afectando la composición florística selectivamente.


In this study we evaluated the floristic composition and changes in stored biomass and dynamics over time in 9 permanent plots monitored by RAINFOR (Amazon Forest Inventory Network) and located in the lowland Amazon rainforest of the Tambopata National Reserve. Data were acquired in the field using the standardized methodology of RAINFOR. The biomass was estimated using the equation for tropical moist forests of Chave et al. (2005). Biomass dynamics were analyzed, in three separated periods from 2003 to 2011. 64 families, 219 genera and 531 species were recorded. The tree floristic composition is very similar in all plots except for one swamp plot, although but it is also evident that two slightly different forest communities exist in the rest of landscape, apparently related to the age of the ancient river terraces in the area. Mortality and recruitment of individuals averaged 2.12 ± 0.52% and 1.92 ± 0.49%, respectively. The turnover rate is 2.02% per year. Aboveground biomass stored in these forests averages 296.2 ± 33.9 t ha-1. The biomass dynamics show a total net gain of 1.96, 1.69 and -1.23 t ha-1 for period respectively. Prior to the drought of 2010 a change in biomass was found 1.88 t ha-1 yr-1 and post drought was -0.18 t ha-1 yr-1 on average, though the difference is not significant. Demographic analysis suggests a dynamic equilibrium in the plots. The negative balance of biomass observed for the period 2008 - 2011 may be due to the drought of 2010, in which half of the monitored plots experienced negative net biomass change due to mortality of individuals selectively affecting the floristic composition.

2.
Biota neotrop. (Online, Ed. port.) ; 8(2)Apr.-June 2008. graf, tab
Article in English | LILACS | ID: lil-489025

ABSTRACT

The main objective of this paper is to present and discuss the best methods to estimate live above ground biomass in the Atlantic Forest. The methods presented and conclusions are the products of a workshop entitled "Estimation of Biomass and Carbon Stocks: the Case of Atlantic Rain Forest". Aboveground biomass (AGB) in tropical forests is mainly contained in trees. Tree biomass is a function of wood volume, obtained from the diameter and height, architecture and wood density (dry weight per unit volume of fresh wood). It can be quantified by the direct (destructive) or indirect method where the biomass quantification is estimated using mathematical models. The allometric model can be site specific when elaborated to a particular ecosystem or general that can be used in different sites. For the Atlantic Forest, despite the importance of it, there are only two direct measurements of tree biomass, resulting in allometric models specific for this ecosystem. To select one or other of the available models in the literature to estimate AGB it is necessary take into account what is the main question to be answered and the ease with which it is possible to measure the independent variables in the model. Models that present more accurate estimates should be preferred. However, more simple models...


O principal objetivo deste artigo é apresentar e discutir a melhor forma para estimar a biomassa viva acima do solo (BVS) na Mata Atlântica. A biomassa viva acima do solo em florestas tropicais esta contida principalmente nas árvores. A biomassa das árvores é uma função do seu volume de madeira, obtido do diâmetro e da altura, de sua arquitetura e da densidade de sua madeira (peso seco por unidade de volume fresco). Ela pode ser quantificada pelo método direto (destrutivo) ou pelo método indireto onde a quantificação da biomassa é feita através de modelos matemáticos. Os modelos alométricos podem ser específicos para um determinado local, quando elaborado para um ecossistema particular, ou gerais, que podem ser utilizados em para estimar a biomassa em diferentes locais. Para a Mata Atlântica, a despeito de sua importância, existem somente duas medidas diretas de biomassa de árvores, que resultaram em modelos alométricos específicos para essas florestas. Para selecionar um ou outro modelo alométrico para estimar BVS, disponível na literatura, é necessário levar em conta o a questão a ser respondida e a facilidade com a qual é possível medir as variáveis independentes do modelo. Preferencialmente, deve-se utilizar modelos...


Subject(s)
Trees/classification , Trees/adverse effects , Biomass , Botany/classification , Flora/analysis , Flora/classification , Soil/analysis
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