Quantificação de biomassa e comprimento de raízes finas em povoamento de Eucalyptus cloeziana F. Muell RESUMOO desenvolvimento e a atividade de raízes influenciam o crescimento das árvores em qualquer ecossistema, porque as raízes representam o elo de conexão entre a planta e o solo. Desta maneira, este trabalho foi realizado com o objetivo de avaliar a biomassa e o comprimento de raízes finas ( £ 2 mm) em Eucalyptus cloeziana F. Muell, com 18 anos, em Santa Maria, RS. Foram coletadas 20 amostras em cada profundidade de 0-5, 5-10, 10-15 e 15-20 cm. As raízes foram separadas do solo e processadas até a obtenção de dados sobre comprimento e biomassa. Obtiveram-se, respectivamente, os valores de biomassa, densidade e comprimento das raízes finas ( £ 2 mm) de 1.266,44 kg ha -1 , 2,533 g dm -3 e 13.324,55 km ha -1 , nos 20 cm mais superficiais, sendo que praticamente a metade das raízes finas está na camada superficial (0 a 5 cm). A densidade de raízes finas tende a diminuir com o aumento da profundidade do solo. Palavras-chave:Ecologia florestal, silvicultura, solos. Biomass quantification and fine roots length in Eucalyptus cloeziana F. Muell stands ABSTRACTThe development and activity of roots influence the growth of trees in any ecosystem because the roots are the link between the plant and the soil. Therefore this study aimed at evaluating the biomass and length of fine roots ( £ 2 mm) in Eucalyptus cloeziana F. Muell, aged 18, in Santa Maria, RS, Brazil. Twenty samples in each depth of 0-5, 5-10, 10-15 and 15-20 cm were collected. The roots were separated from the ground and processed to obtain data on length and biomass. The values of biomass, density and length of fine roots were obtained; respectively ( £ 2 mm) of 1266.44 kg ha -1 , 2.533 g dm -3 and 13324.55 km ha -1 , in the most superficial 20 cm, given that almost half of the fine roots are in the surface layer (0 -5 cm). Fine roots density tends to decrease with soil depth increase.

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Background Clinical predictors of sleep quality in patients with fibromyalgia syndrome (FMS) are still unknown. By identifying these factors, we could raise new mechanistic hypotheses and guide management approaches. We aimed to describe the sleep quality of FMS patients, and to explore the clinical and quantitative sensory testing (QST) predictors of poor sleep quality and its subcomponents. Methods This study is a cross-sectional analysis of an ongoing clinical trial. We performed linear regression models between sleep quality (Pittsburgh Sleep Quality Index [PSQI]) and demographic, clinical, and QST variables, controlling for age and gender. Predictors for the total PSQI score and its seven subcomponents were found using a sequential modeling approach. Results We included 65 patients. The PSQI score was 12.78 ± 4.39, with 95.39% classified as poor sleepers. Sleep disturbance, use of sleep medications, and subjective sleep quality were the worst subdomains. We found poor PSQI scores were highly associated with symptom severity (FIQR score and PROMIS fatigue), pain severity, and higher depression levels, explaining up to 31% of the variance. Fatigue and depression scores also predicted the subjective sleep quality and daytime dysfunction subcomponents. Heart rate changes (surrogate of physical conditioning) predicted the sleep disturbance subcomponent. QST variables were not associated with sleep quality or its subcomponents. Conclusion Symptom severity, fatigue, pain, and depression (but no central sensitization) are the main predictors of poor sleep quality. Heart rate changes independently predicted the sleep disturbance subdomain (the most affected one in our sample), suggesting an essential role of physical conditioning in modulating sleep quality in FMS patients. This underscores the need for multidimensional treatments targeting depression and physical activity to improve the sleep quality of FMS patients.

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