51. Forestry and the 40th anniversary of IALEJanez Pirnat, 2022, predgovor, uvodnik, spremna beseda Povzetek: In this paper we evaluated key forestry related topics in the journal Landscape Ecology in the period 1987-2021 using keyword analysis to highlight which forestry topics have been relevant for landscape ecologists from the inception of the IALE organisation until present. Our analysis has shown that forests have far too often been just a framework for research focusing on management interventions in the forest. The three key words with the highest frequencies were forest/wood fragmentation, forest management and forest(s). Until now, however, we have not made sufficient use of the opportunity to study the field of forest ecosystem functionning at the landscape level. Suggestions for future reserch are therefore given.
Ključne besede: forest, anniversaries, IALE, key words analysis, forest fragmentation
Objavljeno v DiRROS: 28.10.2022; Ogledov: 1483; Prenosov: 646
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52. Dose-response relationship between endurance training prescription variables and increases in aerobic performance of healthy and unhealthy middle and very old individuals aged 70 years and older : a systematic review and meta-analysis of randomized controlled trialsSarah Cheour, Chouaib Cheour, Nicola Luigi Bragazzi, Liye Zou, Armin Paravlić, Maamer Slimani, Foued Cheour, 2021, pregledni znanstveni članek Povzetek: Background: The objectives of this systematic review and meta-analysis were to quantify the effectiveness of endurance training (ET) on aerobic performance (i.e., peak oxygen uptake (VO2peak)) in healthy and unhealthy middle and very old adults aged 70 years and older, and to provide dose response relationships of training prescription variables (in terms of frequency, and volume). Methods: Several scholarly databases (i.e., PubMed/MEDLINE, SpringerLink, ScienceDirect Journals, and Taylor & Francis Online Journals) were searched, identifying randomized controlled studies that investigated the effectiveness of ET on VO2peak in older adults. Standardized mean differences (SMD) were calculated. Results: In terms of changes differences between experimental and control group, ET produced significant large effects on VO2peak performance (SMD = 2.64 (95%CI 0.97%4.31)). The moderator analysis revealed that health status variable moderated ET effect onVO2peak performance. More specifically, ET produced larger SMD magnitudes on VO2peak performance in healthy compared with unhealthy individuals. With regard to the dose response relationships, findings from the meta-regression showed that none of the included training prescription variables predicted ET effects on VO2peak performance. Conclusions: ET is an effective mean for improving aerobic performance in healthy older adults when compared with their unhealthy counterparts.
Ključne besede: aging, elderly, physical activities, physical endurance, exercises, training prescriptions, meta analysis
Objavljeno v DiRROS: 16.09.2022; Ogledov: 586; Prenosov: 315
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54. Synoptic risk assessment of groundwater contamination from landfillsSonja Cerar, Luka Serianz, Katja Koren, Joerg Prestor, Nina Mali, 2022, izvirni znanstveni članek Povzetek: Waste management in Europe has improved in recent years, reducing the amount of waste disposed at landfills. However, there are still many landfills in the countries. It is well known that landfills that do not have measures in place to control leachate entering groundwater can contaminate groundwater long after the landfill is closed. Collecting monitoring results from all landfills allows permitting and management agencies to improve action plans. This relies on a synoptic risk assessment that allows prioritization and milestones to be set for required actions. The developed method of synoptic risk assessment is based on a conceptual model of the landfill and the results of chemical groundwater monitoring tested at 69 landfills in Slovenia. The study confirms that most landfills have a direct or indirect impact on groundwater quality. All landfills were classified into three priority classes on the basis of the synoptic risk assessment. The results show that a total of 24 landfills have a clearly pronounced impact on groundwater. A total of 31 landfills have a less pronounced impact due to the favorable natural attenuation capacity of the soil or the technically appropriate design of the landfill itself. A total of 14 landfills have a less pronounced or negligible impact on groundwater.
Ključne besede: conceptual model, synoptic risk assessment, landfill, groundwater, chemical analysis
Objavljeno v DiRROS: 19.07.2022; Ogledov: 596; Prenosov: 310
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55. Bringing into play automated electron microscopy data processing for understanding nanoparticulate electrocatalysts’ structure–property relationshipsAna Rebeka Kamšek, Francisco Ruiz-Zepeda, Andraž Pavlišič, Armin Hrnjić, Nejc Hodnik, 2022, pregledni znanstveni članek Ključne besede: identical location electron microscopy, image analysis, machine learning, electrocatalysis, metallic nanoparticles
Objavljeno v DiRROS: 01.07.2022; Ogledov: 608; Prenosov: 438
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57. Unravelling the tribological behaviour of mercerized coconut inflorescence fiber fortified unsaturated polyester compositesKarthik Soundarrajan, Nitish Kaushik, C. Shanthi, Joshua Gnana Sekaran, 2022, izvirni znanstveni članek Ključne besede: coconut inflorescence fibre, unsaturated polyester resin, mercerization, wear, friction coefficient, SEM analysis
Objavljeno v DiRROS: 22.06.2022; Ogledov: 478; Prenosov: 161
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60. Artificial neural networks as an alternative method to nonlinear mixed-effects models for tree height predictionsMitja Skudnik, Jernej Jevšenak, 2022, izvirni znanstveni članek Povzetek: Tree heights are one of the most important aspects of forest mensuration, but data are often unavailable due to costly and time-consuming field measurements. Therefore, various types of models have been developed for the imputation of tree heights for unmeasured trees, with mixed-effects models being one of the most commonly applied approaches. The disadvantage here is the need of sufficient sample size per tree species for each plot, which is often not met, especially in mixed forests. To avoid this limitation, we used principal component analysis (PCA) for the grouping of similar plots based on the most relevant site descriptors. Next, we compared mixed-effects models with height-diameter models based on artificial neural networks (ANN). In terms of root mean square error (RMSE), mixed-effects models provided the most accurate tree height predictions at the plot level, especially for tree species with a smaller number of tree height measurements. When plots were grouped using the PCA and the number of observations per category increased, ANN predictions improved and became more accurate than those provided by mixed-effects models. The performance of ANN also increased when the competition index was included as an additional explanatory variable. Our results show that in the pursuit of the most accurate modelling approach for tree height predictions, ANN should be seriously considered, especially when the number of tree measurements and their distribution is sufficient.
Ključne besede: height-diameter models, national forest inventory, permanent sample plot, mixed forests, model comparison, principal component analysis
Objavljeno v DiRROS: 08.06.2022; Ogledov: 553; Prenosov: 229
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