cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14283429
title: A MULTIPLE CRITERIA ANALYSIS OF FACTORS INFLUENCING SURFACE ROUGHNESS OF WOOD AND WOOD-BASED MATERIALS IN THE PLANING PROCESS

description: ABSTRACT This paper presents a study of the fuzzy analytical hierarchy process (FAHP) for the prioritization of factors having important effects on the surface roughness of wood and wood-based materials in the planing process. Firstly, a three-level hierarchical model was devised. Secondly, the FAHP method was employed to determine the weights of the factors. Finally, the prioritization of the factors was carried out taking into account the weights. The results showed that the most significant factors are feed speed (0.300), tool geometry (0.222), and material defect (0.107). Consequently, this study provides a valuable guide to the wood industry to improve the surface quality of wood and wood-based products.
DOI: 10.6084/m9.figshare.14283435
title: THE LACK OF ECONOMIC ENVIRONMENTAL DAMAGE VALUATION - A CRITICAL REVIEW OF FUNDÃO DISASTER

description: ABSTRACT Critical events such as the disruption of the Fundão tailings dam, considered the biggest technological disaster in Brazil and the biggest of its category in the world, test the responsiveness of organizations in charge of protecting the environment. In the process of assign liability for damage, lawsuits initially proposed were replaced by settlements negotiated between companies, state agencies and the Public Prosecution Service, which previously have stipulated amounts for mitigation actions and environmental compensation. The economic valuation of environmental damage, despite being a tool capable of assisting in the quantification of environmental compensation, has not yet been adequately used in the initiatives to hold the Fundão dam case accountable. Preliminary diagnoses of the disaster have not sufficiently detailed the estimated economic values for environmental and socioeconomic repair, nor have they distinguished between the repairable damage and the irreparable ones that must be compensated. Due to the lack of clear definition of who is responsible for the economic valuation of environmental damage, Brazilian environmental protection institutions have not developed standardized procedures for this purpose, except in an incipient, experimental or particular way for certain types of damage. The implementation of civil liability settlements based on inaccurate diagnoses and values can compromise their effectiveness and perpetuate, without compensation, the damage to Brazilian environmental heritage.
DOI: 10.6084/m9.figshare.14283435.v1
title: THE LACK OF ECONOMIC ENVIRONMENTAL DAMAGE VALUATION - A CRITICAL REVIEW OF FUNDÃO DISASTER

description: ABSTRACT Critical events such as the disruption of the Fundão tailings dam, considered the biggest technological disaster in Brazil and the biggest of its category in the world, test the responsiveness of organizations in charge of protecting the environment. In the process of assign liability for damage, lawsuits initially proposed were replaced by settlements negotiated between companies, state agencies and the Public Prosecution Service, which previously have stipulated amounts for mitigation actions and environmental compensation. The economic valuation of environmental damage, despite being a tool capable of assisting in the quantification of environmental compensation, has not yet been adequately used in the initiatives to hold the Fundão dam case accountable. Preliminary diagnoses of the disaster have not sufficiently detailed the estimated economic values for environmental and socioeconomic repair, nor have they distinguished between the repairable damage and the irreparable ones that must be compensated. Due to the lack of clear definition of who is responsible for the economic valuation of environmental damage, Brazilian environmental protection institutions have not developed standardized procedures for this purpose, except in an incipient, experimental or particular way for certain types of damage. The implementation of civil liability settlements based on inaccurate diagnoses and values can compromise their effectiveness and perpetuate, without compensation, the damage to Brazilian environmental heritage.
DOI: 10.6084/m9.figshare.14283429.v1
title: A MULTIPLE CRITERIA ANALYSIS OF FACTORS INFLUENCING SURFACE ROUGHNESS OF WOOD AND WOOD-BASED MATERIALS IN THE PLANING PROCESS

description: ABSTRACT This paper presents a study of the fuzzy analytical hierarchy process (FAHP) for the prioritization of factors having important effects on the surface roughness of wood and wood-based materials in the planing process. Firstly, a three-level hierarchical model was devised. Secondly, the FAHP method was employed to determine the weights of the factors. Finally, the prioritization of the factors was carried out taking into account the weights. The results showed that the most significant factors are feed speed (0.300), tool geometry (0.222), and material defect (0.107). Consequently, this study provides a valuable guide to the wood industry to improve the surface quality of wood and wood-based products.
DOI: 10.6084/m9.figshare.14283432
title: MULTILEVEL NONLINEAR MIXED-EFFECTS MODEL AND MACHINE LEARNING FOR PREDICTING THE VOLUME OF Eucalyptus SPP. TREES

description: ABSTRACT Volumetric equations is one of the main tools for quantifying forest stand production, and is the basis for sustainable management of forest plantations. This study aimed to assess the quality of the volumetric estimation of Eucalyptus spp. trees using a mixed-effects model, artificial neural network (ANN) and support-vector machine (SVM). The database was derived from a forest stand located in the municipalities of Bom Jardim de Minas, Lima Duarte and Arantina in Minas Gerais state, Brazil. The volume of 818 trees was accurately estimated using Smalian’s Formula. The Schumacher and Hall model was fitted by fixed-effects regression and by including multilevel random effects. The mixed model was fitted by adopting 14 different structures for the variance and covariance matrix. The best structure was selected based on the Akaike Information Criterion, Maximum Likelihood Ratio Test and Vuong’s Closeness Test. The SVM and ANN training process considered diameter at breast height and total tree height to be the independent variables. The techniques performed satisfactorily in modeling, with homogeneous distributions and low dispersion of residuals. The quality analysis criteria indicated the superior performance of the mixed model with a Huynh-Feldt structure of the variance and covariance matrix, which showed a decrease in mean relative error from 13.52% to 2.80%, whereas machine learning techniques had error values of 6.77% (SVM) and 5.81% (ANN). This study confirms that although fixed-effects models are widely used in the Brazilian forest sector, there are more effective methods for modeling dendrometric variables.
DOI: 10.22008/fk2/oiajvo/1nah4c
title: albedo_bb_planar_sw.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.6084/m9.figshare.14282177.v1
title: SIMULATIONS_WINTER

description: Simulations of idealized cities, for a winter case, of different mitigation strategies
DOI: 10.6084/m9.figshare.14283440
title: APPLICATIONS OF SAR DATA TO ESTIMATE FOREST BIOPHYSICAL VARIABLES IN BRAZIL

description: ABSTRACT The use of SAR images has been highlighted in scientific research focused on forest data collection worldwide. Thus, the present work aimed at gathering studies turned to the application of SAR images to obtain biophysical variables of forests in Brazil. Based on studies published in recognized databases, a growing amount of publications over time was observed with more focus on researches made mainly in Amazonian biome, followed by planted forests with eucalyptus destined to wood production. Most works were made based on airborne radar data, followed by ALOS/PALSAR and JERS-1 orbital data. It is remarkable the scientific knowledge produced using radar data from Brazilian forests, demonstrating that this technology is an other tool for studies and applications in Forestry Sciences that can assist in the country’s forestry management. Nevertheless, the need of studies on the several forest typologies across Brazil was evidenced, along with the lack of research related to radar use to estimate biophysical variables in caatinga and Atlantic Forest biomes.
DOI: 10.6084/m9.figshare.14283440.v1
title: APPLICATIONS OF SAR DATA TO ESTIMATE FOREST BIOPHYSICAL VARIABLES IN BRAZIL

description: ABSTRACT The use of SAR images has been highlighted in scientific research focused on forest data collection worldwide. Thus, the present work aimed at gathering studies turned to the application of SAR images to obtain biophysical variables of forests in Brazil. Based on studies published in recognized databases, a growing amount of publications over time was observed with more focus on researches made mainly in Amazonian biome, followed by planted forests with eucalyptus destined to wood production. Most works were made based on airborne radar data, followed by ALOS/PALSAR and JERS-1 orbital data. It is remarkable the scientific knowledge produced using radar data from Brazilian forests, demonstrating that this technology is an other tool for studies and applications in Forestry Sciences that can assist in the country’s forestry management. Nevertheless, the need of studies on the several forest typologies across Brazil was evidenced, along with the lack of research related to radar use to estimate biophysical variables in caatinga and Atlantic Forest biomes.
DOI: 10.6084/m9.figshare.14283432.v1
title: MULTILEVEL NONLINEAR MIXED-EFFECTS MODEL AND MACHINE LEARNING FOR PREDICTING THE VOLUME OF Eucalyptus SPP. TREES

description: ABSTRACT Volumetric equations is one of the main tools for quantifying forest stand production, and is the basis for sustainable management of forest plantations. This study aimed to assess the quality of the volumetric estimation of Eucalyptus spp. trees using a mixed-effects model, artificial neural network (ANN) and support-vector machine (SVM). The database was derived from a forest stand located in the municipalities of Bom Jardim de Minas, Lima Duarte and Arantina in Minas Gerais state, Brazil. The volume of 818 trees was accurately estimated using Smalian’s Formula. The Schumacher and Hall model was fitted by fixed-effects regression and by including multilevel random effects. The mixed model was fitted by adopting 14 different structures for the variance and covariance matrix. The best structure was selected based on the Akaike Information Criterion, Maximum Likelihood Ratio Test and Vuong’s Closeness Test. The SVM and ANN training process considered diameter at breast height and total tree height to be the independent variables. The techniques performed satisfactorily in modeling, with homogeneous distributions and low dispersion of residuals. The quality analysis criteria indicated the superior performance of the mixed model with a Huynh-Feldt structure of the variance and covariance matrix, which showed a decrease in mean relative error from 13.52% to 2.80%, whereas machine learning techniques had error values of 6.77% (SVM) and 5.81% (ANN). This study confirms that although fixed-effects models are widely used in the Brazilian forest sector, there are more effective methods for modeling dendrometric variables.
DOI: 10.6084/m9.figshare.14283443
title: PHYSICAL AND THERMAL PROPERTIES OF EUCALYPTUS WOOD CHARCOAL.

description: ABSTRACT The knowledge of the physical and thermal properties of eucalyptus charcoal is of fundamental importance in the design of equipment and development of cooling technologies. However, literature about physical properties for eucalyptus wood charcoal is largely unavailable, especially the thermal and aerodynamic properties, for the same material. The aim of this study was to evaluate the physical properties of eucalyptus charcoal: apparent and bulk density, pressure drop, porosity, thermal conductivity and specific heat to support the design of production and cooling systems using heat exchangers. It was found that the pressure drop could be expressed according Forchheimer’s law and logarithmical empirical models, resulting in R2 above 0.95. The apparent and bulk densities were measured as 344.6 ± 17.6 and 155.3 ± 4.1 kg.m-3, respectively, and the charcoal porosity was 54.8 ± 2%. In the investigation of flow in porous charcoal media, the pressure gradient is proportional to the increase of the superficial airflow velocity and is dependent on the charcoal bed height for low airflows and lower bed heights. However, the gradient was independent of bed height on all tests with columns larger or equal to 0.80 m. The thermal conductivity and specific heat were 0.030 ± 0.0027 W m-1.K-1 and 1017 ± 74 J.kg-1.K-1, respectively.
DOI: 10.6084/m9.figshare.14283444
title: VARIATIONS OF ELEMENT CONCENTRATIONS IN ROOTS OF DIFFERENT TREE SPECIES

description: ABSTRACT Element concentrations of roots play an important role for plant growth and below ground biochemical cycles in forest ecosystems. It can show a change among species. This research aimed to determine changes in the nutrient content for different root diameters of trees in the Belgrad forest. Natural species of Sessile oak (Quercus petraea L.), Scots pine (Pinus sylvestris L.), Austrian pine (Pinus nigra Arnold.), Turkish fir (Abies bornmuelleriana L.), and Oriental spruce (Picea orientalis L.) were studied. Root sampling was carried out by randomly collecting twenty soil samples within each species once every three months (from April 2007) over one year. Roots were classified by fine root (&lt; 2 mm), small root (2-5 mm) and coarse root (&gt;5mm) diameter classes. Total concentration of elements (K, Ca, P, Fe, Mg, Cu, Mn, Al, Ni, Zn, Na) in each root classes were determined. The macro elements Mg, K, and P and all microelements in the included species showed a tendency to decrease in concentration with increasing root diameters. Macro elements except K and P and microelements except Pb, Al, Zn, and Cu showed a significant temporal difference between species based on the root diameters. Al, Pb, Ni, Mn, and Fe showed different antagonistic relations with Ca, Mg, P, and K between species with regard to their concentration in fine roots. There was no significant negative correlation between small and coarse roots in species (except in oak species). The results have shown that nutrient storage characteristics differ between different species in the same site.
DOI: 10.6084/m9.figshare.14283443.v1
title: PHYSICAL AND THERMAL PROPERTIES OF EUCALYPTUS WOOD CHARCOAL.

description: ABSTRACT The knowledge of the physical and thermal properties of eucalyptus charcoal is of fundamental importance in the design of equipment and development of cooling technologies. However, literature about physical properties for eucalyptus wood charcoal is largely unavailable, especially the thermal and aerodynamic properties, for the same material. The aim of this study was to evaluate the physical properties of eucalyptus charcoal: apparent and bulk density, pressure drop, porosity, thermal conductivity and specific heat to support the design of production and cooling systems using heat exchangers. It was found that the pressure drop could be expressed according Forchheimer’s law and logarithmical empirical models, resulting in R2 above 0.95. The apparent and bulk densities were measured as 344.6 ± 17.6 and 155.3 ± 4.1 kg.m-3, respectively, and the charcoal porosity was 54.8 ± 2%. In the investigation of flow in porous charcoal media, the pressure gradient is proportional to the increase of the superficial airflow velocity and is dependent on the charcoal bed height for low airflows and lower bed heights. However, the gradient was independent of bed height on all tests with columns larger or equal to 0.80 m. The thermal conductivity and specific heat were 0.030 ± 0.0027 W m-1.K-1 and 1017 ± 74 J.kg-1.K-1, respectively.
DOI: 10.6084/m9.figshare.14283444.v1
title: VARIATIONS OF ELEMENT CONCENTRATIONS IN ROOTS OF DIFFERENT TREE SPECIES

description: ABSTRACT Element concentrations of roots play an important role for plant growth and below ground biochemical cycles in forest ecosystems. It can show a change among species. This research aimed to determine changes in the nutrient content for different root diameters of trees in the Belgrad forest. Natural species of Sessile oak (Quercus petraea L.), Scots pine (Pinus sylvestris L.), Austrian pine (Pinus nigra Arnold.), Turkish fir (Abies bornmuelleriana L.), and Oriental spruce (Picea orientalis L.) were studied. Root sampling was carried out by randomly collecting twenty soil samples within each species once every three months (from April 2007) over one year. Roots were classified by fine root (&lt; 2 mm), small root (2-5 mm) and coarse root (&gt;5mm) diameter classes. Total concentration of elements (K, Ca, P, Fe, Mg, Cu, Mn, Al, Ni, Zn, Na) in each root classes were determined. The macro elements Mg, K, and P and all microelements in the included species showed a tendency to decrease in concentration with increasing root diameters. Macro elements except K and P and microelements except Pb, Al, Zn, and Cu showed a significant temporal difference between species based on the root diameters. Al, Pb, Ni, Mn, and Fe showed different antagonistic relations with Ca, Mg, P, and K between species with regard to their concentration in fine roots. There was no significant negative correlation between small and coarse roots in species (except in oak species). The results have shown that nutrient storage characteristics differ between different species in the same site.
DOI: 10.6084/m9.figshare.14283446
title: ASSESSMENT OF GIS-ASSISTED MOVEMENT PATCHES USING LCP FOR LOCAL SPECIES: NORTH CENTRAL ANATOLIA REGION, TURKEY

description: ABSTRACT As a result of the fragmentation and degradation of forests, the connectivity of natural habitats has been decreasing. Thus, problems in gene flow in wildlife have begun to arise. The connection of landscape patches with corridors is now an important subject of landscape planning. Central Anatolia has been affected by forest fragmentation due to its fragile ecologies. The purpose of this study was i) to identify the spatial location of landscape corridors in order to create ecological networks among the natural landscape reserves in the Northern Central Anatolia Region and ii) to develop a guideline that can be applied for landscape connectivity in fragmentation areas. Landscape resistances were determined according to the target species (Lynx lynx) and a resistance map was formed. Corridors were determined by using Least-cost path (LCP) approach with GIS. As a result, six corridors and major barriers were identified among the core areas and north forests. The methodology and results of this study has promising potential, which can be considered by experts, planners, and researchers in Turkey and others regions of the world as references for identifying and planning optimal patches for habitat sustainability.
DOI: 10.6084/m9.figshare.14283446.v1
title: ASSESSMENT OF GIS-ASSISTED MOVEMENT PATCHES USING LCP FOR LOCAL SPECIES: NORTH CENTRAL ANATOLIA REGION, TURKEY

description: ABSTRACT As a result of the fragmentation and degradation of forests, the connectivity of natural habitats has been decreasing. Thus, problems in gene flow in wildlife have begun to arise. The connection of landscape patches with corridors is now an important subject of landscape planning. Central Anatolia has been affected by forest fragmentation due to its fragile ecologies. The purpose of this study was i) to identify the spatial location of landscape corridors in order to create ecological networks among the natural landscape reserves in the Northern Central Anatolia Region and ii) to develop a guideline that can be applied for landscape connectivity in fragmentation areas. Landscape resistances were determined according to the target species (Lynx lynx) and a resistance map was formed. Corridors were determined by using Least-cost path (LCP) approach with GIS. As a result, six corridors and major barriers were identified among the core areas and north forests. The methodology and results of this study has promising potential, which can be considered by experts, planners, and researchers in Turkey and others regions of the world as references for identifying and planning optimal patches for habitat sustainability.
DOI: 10.22008/fk2/oiajvo/vrtobj
title: diagnostic_retrieval.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.6084/m9.figshare.14283447
title: HEIGHT-DIAMETER RELATIONSHIPS FOR Eucalyptus grandis HILL EX. MAIDEN IN MOZAMBIQUE: USING MIXED-EFFECTS MODELING APPROACH

description: ABSTRACT Equations express that height-diameter relationships are used to estimate tree heights that were not measured in the plots, as well as to calculate their volumes. In this study, we modelled height for Eucalyptus grandis Hill ex. Maiden stands using nonlinear mixed effect models in Mocuba District, Central Mozambique. Models were tested from 1414 trees measured, in 40 plots with dimensions of 20 x 20 m. Model one (M1) was the best in relation to the others according to the evaluated criteria (R2 = 0.9183; RMSE = 0.558; AIC = -1234.8; BIC = -1224.9). The inclusion of the variables dominant height (h100, m), basal area (G, m2.ha-1) and mean basal area diameter (dg, m) in model 1 (M1) within the scope of mixed effect model structures that involved both fixed and random effect parameters (Model 7) provides better fitting and more precise predictions. For calibration of random effects according to plot, height measurement of at least five trees is required (four dominant trees + one tree randomly selected in plot). Our model is site-specific and its application should therefore be limited to the stands with characteristics that were the basis of this study. Further works on recalibration, validation, and verification of our model using a larger dataset collected from a wider range of species distribution will be more interesting.
DOI: 10.6084/m9.figshare.14283447.v1
title: HEIGHT-DIAMETER RELATIONSHIPS FOR Eucalyptus grandis HILL EX. MAIDEN IN MOZAMBIQUE: USING MIXED-EFFECTS MODELING APPROACH

description: ABSTRACT Equations express that height-diameter relationships are used to estimate tree heights that were not measured in the plots, as well as to calculate their volumes. In this study, we modelled height for Eucalyptus grandis Hill ex. Maiden stands using nonlinear mixed effect models in Mocuba District, Central Mozambique. Models were tested from 1414 trees measured, in 40 plots with dimensions of 20 x 20 m. Model one (M1) was the best in relation to the others according to the evaluated criteria (R2 = 0.9183; RMSE = 0.558; AIC = -1234.8; BIC = -1224.9). The inclusion of the variables dominant height (h100, m), basal area (G, m2.ha-1) and mean basal area diameter (dg, m) in model 1 (M1) within the scope of mixed effect model structures that involved both fixed and random effect parameters (Model 7) provides better fitting and more precise predictions. For calibration of random effects according to plot, height measurement of at least five trees is required (four dominant trees + one tree randomly selected in plot). Our model is site-specific and its application should therefore be limited to the stands with characteristics that were the basis of this study. Further works on recalibration, validation, and verification of our model using a larger dataset collected from a wider range of species distribution will be more interesting.