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1.
Rev. biol. trop ; 58(4): 1283-1297, dic. 2010. ilus, graf, mapas, tab
Artigo em Inglês | LILACS | ID: lil-638001

RESUMO

One of the strongest hypothesis about the maintenance of tree species diversity in tropical areas is disturbance. In order to assess this, the effect of intensive natural disturbances on forest growth and mortality in a thinning canopy was studied after the landfall of hurricane Joan in 1988. We evaluated the growth and mortality rates of the 26 most common tree species of that forest in eastern Nicaragua. Permanent plots were established at two study sites within the damaged area. Growth and mortality rates of all individual trees ≥3.18cm diameter at breast height were assessed annually from 1990 to 2005. During this period the forest underwent two phases: the building phase (marked by increased number of individuals of tree species present after the hurricane) and the canopy thinning phase (marked by increased competition and mortality). Our results from the thinning phase show that tree survival was independent of species identity and was positively related to the increase in growth rates. The analysis of mortality presented here aims to test the null hypothesis that individual trees die independently of their species identity. These findings were influenced by the mortality observed during the late thinning phase (2003-2005) and provide evidence in favor of a non-niche hypothesis at the thinning phase of forest regeneration. Rev. Biol. Trop. 58 (4): 1283-1297. Epub 2010 December 01.


Estudiamos el efecto de los fenómenos naturales sobre la dinámica de bosques húmedos tropicales del este de Nicaragua después del paso del huracán Juana en 1988. Evaluamos las tasas de crecimiento y mortalidad de las 26 especies más comunes en ese bosque posterior al huracán. El estudio se llevó a cabo en dos localidades del área afectada por el huracán. Establecimos parcelas permanentes en dos sitios afectados por el huracán, en las cuales medimos variables demográficas poblacionales a todos los individuos con un diámetro a la altura del pecho ≥3.18cm. El estudio se realizó durante dos fases, la fase de construcción de dosel (caracterizada por el aumento en el número de individuos de las especies que resistieron el huracán) la fase de raleo del dosel (caracterizado por el aumento de la competencia y mortalidad). El análisis de la mortalidad en la etapa de raleo del dosel trata de probar la hipótesis que la mortalidad de los árboles no esta ligada a la identidad de especies de árboles y que la sobrevivencia se encuentra directamente relacionada con el crecimiento de los árboles. Asimismo, estos resultados confirman la hipótesis de independencia con respecto a posibles nichos ecológicos.


Assuntos
Biodiversidade , Tempestades Ciclônicas/estatística & dados numéricos , Regeneração , Árvores/fisiologia , Ecossistema , Meio Ambiente , Nicarágua , Dinâmica Populacional , Especificidade da Espécie , Clima Tropical , Árvores/crescimento & desenvolvimento
2.
J Environ Biol ; 2010 May; 31(3): 363-368
Artigo em Inglês | IMSEAR | ID: sea-146426

RESUMO

In this study, we compared tree-growth rates (basal area increment) from recently dead and living Taurus fir (Abies cilicica Carr.) trees in the Kovada lake Forest of Isparta, Turkey. For each dead tree, tree-growth rates were analyzed for the presence of pre-death growth depressions in the study area (number of sample plots=11) in 2006. However, we compared both the magnitude and rate of growth prior to death to a control (living) group of trees. Basal area increment (BAI) averaged substantially less during the last 10 years before death than for control trees. Trees that died started diverging in growth, on average, 50-60 years before death. About 18% of trees that died had chronically slow growth, 46% had pronounced declines in growth, whereas 36% had good growth up to death. However, tree-ring-based growth patterns of dead and living Taurus fir trees were compared and used 12 mortality models that were derived using logistic regression from growth patterns of tree-ring series as predictor variables. The four models with the highest overall performance correctly classified 43.8-56.3% of all dead trees and 75.0-87.5% of all living trees, and they predicted 25.0-43.8% of all dead trees to die within 0-15 years prior to the actual year of death.

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