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Eucalyptus plantations around the world have been largely used by the paper industry. Optimizing the management of resources is a common practice in this highly competitive industry and new forest growth models may help to understand the impact of climate change on the decisions of the optimization processes. Current optimized management plans use empirical equations to predict future forest stands growth, and it is currently impractical to replace these empirical equations with physiological models due to data input requirements. In this paper, we present a different approach, by first carrying out a preliminary assessment with the process-based physiological model 3PG to evaluate the growth of Eucalyptus stands under climate change predictions. The information supplied by 3PG was then injected as a modifier in the projected yield that feeds the management plan optimizer allowing the interpretation of climate change impacts on the management plan. Modelling results show that although a general increase of rain with climate change is predicted, the distribution throughout the year will not favor the tree growth. On the contrary, rain will increase when it is less needed (summer) and decrease when it is most needed (winter), decreasing forest stand productivity between 3 and 5%, depending on the region and soil. Evaluation of the current optimized plan that kept constant the relation between wood price/cellulose ton shows a variation in different strategic management options and an overall increase of costs in owned areas between 2 and 4%, and a decrease of cumulated net present value, initially at 15% with later stabilization at 6-8%. This is a basic comparison to observe climate change effects; nevertheless, it provides insights into how the entire decision-making process may change due to a reduction in biomass production under future climate scenarios. This work demonstrates the use of physiological models to extract information that could be merged with existing and already implemented empirical models. The methodology may also be considered a preliminary alternative to the complete replacement of empirical models by physiological models. Our approach allows some insight into forest responses to different future climate conditions, something which empirical models are not designed for.

Widespread tree mortality associated with drought has been observed on all forested continents and global change is expected to exacerbate vegetation vulnerability. Forest mortality has implications for future biosphere-atmosphere interactions of carbon, water and energy balance, and is poorly represented in dynamic vegetation models. Reducing uncertainty requires improved mortality projections founded on robust physiological processes. However, the proposed mechanisms of drought-induced mortality, including hydraulic failure and carbon starvation, are unresolved. A growing number of empirical studies have investigated these mechanisms, but data have not been consistently analysed across species and biomes using a standardized physiological framework. Here, we show that xylem hydraulic failure was ubiquitous across multiple tree taxa at drought-induced mortality. All species assessed had 60% or higher loss of xylem hydraulic conductivity, consistent with proposed theoretical and modelled survival thresholds. We found diverse responses in non-structural carbohydrate reserves at mortality, indicating that evidence supporting carbon starvation was not universal. Reduced non-structural carbohydrates were more common for gymnosperms than angiosperms, associated with xylem hydraulic vulnerability, and may have a role in reducing hydraulic function. Our finding that hydraulic failure at drought-induced mortality was persistent across species indicates that substantial improvement in vegetation modelling can be achieved using thresholds in hydraulic function.

Introduction: Two reserve hypotheses have been proposed to account for the observed disjunction between the degree of brain pathology and its clinical manifestations. This study investigated whether cognitive reserve (CR), taken here as educational attainment and premorbid IQ, or brain reserve (BR; i.e., brain volume) is associated with progression and regression in patients with mild cognitive impairment (MCI) over a 12-month follow-up., Method: Patients with MCI (n = 123) were prospectively enrolled. The Mini-Mental State Examination, the Japanese version of the Cognitive subscale of the Alzheimer's Disease Assessment Scale, the Clinical Dementia Rating (CDR), the Frontal Assessment Battery, the Neuropsychiatric Inventory, magnetic resonance imaging (MRI), and quantitative single-photon emission computed tomography were performed at intake and again at 12-month follow-up. Patients were classified into three groups: no change, conversion, and reversion. Conversion was defined as a change in CDR from 0.5 to 1, and reversion as a change from 0.5 to 0., Results: Voxel-based morphometry MRI revealed no significant differences in entorhinal and hippocampal gray matter loss among the groups. Patients with reversion had higher premorbid IQ (p = .03, ηp(2) = .35) as measured by the Japanese version of the National Adult Reading Test, higher atrophy ratio (hippocampal volume/whole brain volume; p = .04, ηp(2) = .89) at baseline, and better cognitive performance (p < .001) during the 12-month follow-up than those with conversion did. There were no statistically significant differences among the three groups in terms of years of education., Conclusion: Multinomial logistic regression analysis revealed that higher CR contributed to protecting against cognitive decline during the 12-month follow-up, whereas higher BR at baseline was the strongest predictor for reversion and conversion.

Objective: The objective of the study is to investigate whether the lifestyle-related disease (LSRD) hypertension, type II diabetes mellitus, and lipid abnormality are associated with conversion and reversion in patients with mild cognitive impairment (MCI) over 12 months of follow-up., Methods: One hundred and thirteen patients with MCI were prospectively enrolled and longitudinally assessed. Methods used include mini-mental state examination, the Japanese version of the cognitive subscale of the Alzheimer's Disease Assessment Scale, the Clinical Dementia Rating, the Frontal Assessment Battery, the Neuropsychiatric Inventory, magnetic resonance imaging, and quantitative single-photon emission computed tomography. In addition, laboratory examinations of glucose and lipids were also performed. All measurements were performed at first intake and again at the end of the 12-month follow-up. Conversion was identified as a change in Clinical Dementia Rating from 0.5 to 1 and reversion as a change from 0.5 to 0., Results: Patients with MCI with reversion had lower comorbid lipid abnormality at baseline and higher cognitive and behaviour function across the 12-month follow-up compared with those with no change or conversion. Patients without comorbid LSRD had lower systolic pressure and lower glucose and triglyceride levels at baseline, as well as less cognitive decline compared with other groups across the follow-up period., Conclusions: The absence of lipid abnormality at baseline may contribute to reversion in patients with MCI. The presence of multiple LSRD was associated with cognitive decline. Our results highlight the contribution of multiple LSRD on increasing conversion and decreasing reversion in patients with MCI. Copyright © 2015 John Wiley & Sons, Ltd., (Copyright © 2015 John Wiley & Sons, Ltd.)

Aim: The present study aimed to investigate whether cognitive reserve (CR), referring here to education and premorbid intelligence (IQ), is associated with the risk for progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD)., Methods: A total of 51 patients with MCI and 59 patients with AD were prospectively enrolled for assessment with the Mini-Mental State Examination, the Japanese version of the cognitive subscale of the Alzheimer's Disease Assessment Scale, the Japanese version of the Nelson Adult Reading Test (JART), magnetic resonance imaging (MRI) and single-photon emission computed tomography (SPECT), adjusting for sex, age at diagnosis, age at onset and duration of illness., Results: SPECT findings showed hypoperfusion in the posterior cingulate gyri and precunei, suggesting that the participants were in the early or mild stage of AD or MCI. Voxel-based morphometry MRI showed no statistical differences between the two groups in gray matter loss in the entorhinal and hippocampal areas; however, multiple logistic regression analysis showed a significant difference in premorbid IQ measured with JART., Conclusion: Despite the limitations of the cross-sectional design, the findings suggest that premorbid intellectual function might explain the discrepancy in clinical status between MCI and AD patients with a similar magnitude of brain pathology and comorbid medical disorders., (© 2014 The Authors. Geriatrics & Gerontology International published by Wiley Publishing Asia Pty Ltd on behalf of Japan Geriatrics Society.)

The serum concentration of non-essential amino acid (NEAA) was measured in ten Holstein dairy cows grouped as low production (n=5) and high production (n=5) from one month pre-partum through four months post-partum and the relationship between production and amino acid concentrations was studied. The glycine (Gly)/NEAA ratio and the glycine/alanine ratio of the high production group were significantly higher than the low production group (p<0.01). The observed decrease of the alanine (Ala)/NEAA ratio was more remarkable in the high production group than in the low production group. Measurement of Gly/Ala ratio in serum may be useful for evaluating the nutritional status of peri-parturient dairy cow.

The usefulness of a dry-chemistry blood analyzer, Spotchem SP-4410 (SP-4410) in a veterinary clinic for analysis of bovine and equine blood chemistry was studied. We quantitated total protein (TP), albumin (Alb), total bilirubin (T-Bil), blood urea nitrogen (BUN), total cholesterol (T-Cho), glucose (Glu), calcium (Ca), aspartate aminotransferase (AST), gamma-glutamyltransferase (GGT), creatinine phosphokinase (CPK), and alkaline phosphatase (ALP) in bovine sera. Each sample was assayed with both the SP-4410 and an automated blood analyzer which served as a wet-chemistry reference system, and the data were analyzed with regression analysis. The correlation coefficient for AST was 0.997 being the highest for all the parameters, and all the correlation coefficients were 0.93 or higher. The coefficients of variation were lower than 5.0 except in the case of bovine T-Bil where it was 5,756. The ranges of normal reference values measured by SP-4410 were the same as those reported by other investigators in most cases, but those for GGT and CPK were slightly higher. The strongest interference was observed with hemoglobin. It seems that dry-chemical-analysis of blood serum using the SP-4410 is useful for analysis of bovine and equine blood.