Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests

Tropical forests face increasing climate risk1,2, yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, Ψ50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk3–5, little is known about how these vary across Earth’s largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters Ψ50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both Ψ50 and HSM50 influence the biogeographical distribution of Amazon tree species. However, HSM50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM50 are gaining more biomass than are low HSM50 forests. We propose that this may be associated with a growth–mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate change is likely to further reduce HSM50 in the Amazon6,7, with strong implications for the Amazon carbon sink

Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests

This is the final version. Available on open access from Nature Research via the DOI in this recordData availability: The pan-Amazonian HT dataset (Ψ 50, Ψ dry and HSM50) and branch wood density per species per site, as well as forest dynamic and climate data per plot presented in this study are available as a ForestPlots.net data package at https://forestplots.net/data-packages/Tavares-et-al-2023. Basal area weighted mean LMA is shown in Supplementary Table 2. Species stem wood density data were obtained from Global Wood Density database65,66. Species WDA data were extracted from ref. 45.Code availability: The codes to recreate the main analyses and the main figures presented in this study are available as a ForestPlots.net data package at https://forestplots.net/data-packages/Tavares-et-al-2023.Tropical forests face increasing climate risk, yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, Ψ 50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk, little is known about how these vary across Earth’s largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters Ψ 50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both Ψ 50 and HSM50 influence the biogeographical distribution of Amazon tree species. However, HSM50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM50 are gaining more biomass than are low HSM50 forests. We propose that this may be associated with a growth–mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate change is likely to further reduce HSM50 in the Amazon, with strong implications for the Amazon carbon sink

Production planning using time windows for short-term multipurpose batch plants scheduling problems

This paper deals with short-time planning and scheduling in multipurpose plants subject to a variable demand profile. In this case, production delays are often due to equipment overload, and this paper addresses a two-level approach that is intended to help managers engineer a scheduling solution that fulfills a compromise between products' demands and plant loading. At the first level, once a product's demand and raw-material delivery plan are defined, backward and forward explosion procedures are developed in such a way that time windows, defined by the earliest starting time and latest finishing time for each batch, are generated. Those time windows are submitted to an extended capacity analysis, based on constraint-propagation mechanisms, which is intended to reduce the time windows. If, after the capacity analysis, the problem is still feasible and the plant loading is accepted, then a scheduling procedure is launched. The scheduling approach is based on a uniform discrete time representation that is intended to explore plant features, such as, zero-wait policies, limited storage; and/or low equipment demand. The mixed integer linear problem (MILP) approach, combined with the time-window shortening procedure at the planning level, leads to smaller MILP problems, thereby reducing the solution time.39103823383

Short-term planning and scheduling in multipurpose batch chemical plants: a multi-level approach

This paper deals with short-term planning/scheduling problems when the product demands are driven by customer orders. This type of problem is, in general difficult to be solved, once the orders are subject to changes in short periods. In this paper is proposed a multi-level decomposition procedure, containing at least two levels. At the planning level, demands are adjusted, a raw material delivery plan is defined and a capacity analysis is performed. Therefore, time windows for each operation are defined. At the scheduling level, an MILP model is developed. In order to reduce scheduling problem dimension, it is performed an analysis of equipment contention profile, enabling to model only situations where a decision variable is requested. (C) 2000 Elsevier Science Ltd. All rights reserved.24419212247225

OPTIMIZATION OF WATER REMOVAL IN THE PRESS SECTION OF A PAPER MACHINE

An optimization problem regarding water removal in the press section of a paper machine is considered in this work. The proposed model tries to minimize a cost function comprising the replacement of the felts in the press section, the cost of energy to operate the press and the cost of energy in the drying section, while satisfying the constraints of water mass balance in the process. The model is classified as a mixed-integer nonlinear program (MINLP) in which the most important decisions are: a) the sequence of paper to produce or when to produce the paper; b) the need to exchange the felts; and c) when to exchange the felts. Numerical examples are presented to illustrate the performance of the model.27227528

Avaliação do processamento auditivo na Neurofibromatose tipo 1 Auditory processing evaluation in Neurofibromatosis type 1

Este trabalho teve como objetivo apresentar os resultados obtidos na avaliação do processamento auditivo de um paciente com Neurofibromatose tipo 1. Embora a audição periférica estivesse normal nos testes realizados, foram observadas alterações importantes no processamento auditivo em várias habilidades. Este achado, descrito pela primeira vez na neurofibromatose, pode contribuir para explicar os distúrbios cognitivos e da aprendizagem já amplamente descritos nesta enfermidade genética comum.<br>The aim of this study was to present the results obtained in the auditory processing evaluation of a patient with neurofibromatosis type 1. Although the patient presented normal peripheral hearing, auditory processing deficits were identified in several abilities. This finding, described for the first time in neurofibromatosis, might help to explain the cognitive and learning disabilities broadly described for this common genetic disorder