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51.
The potential global distribution of an emerging forest pathogen, Lecanosticta acicola, under a changing climate
Nikica Ogris, Rein Drenkhan, Petr Vahalík, Thomas L. Cech, Martin Mullett, Katherine Tubby, 2023, izvirni znanstveni članek

Povzetek: Brown spot needle blight (BSNB), caused by Lecanosticta acicola (Thüm.) Syd., is an emerging forest disease of Pinus species originating from North America and introduced to Europe and Asia. Severity and spread of the disease has increased in the last two decades in North America and Europe as a response to climate change. No modeling work on spread, severity, climatic suitability, or potential distribution has been done for this important emerging pathogen. This study utilizes a global dataset of 2,970 independent observations of L. acicola presence and absence from the geodatabase, together with Pinus spp. distribution data and 44 independent climatic and environmental variables. The objectives were to (1) identify which bioclimatic and environmental variables are most influential in the distribution of L. acicola; (2) compare four modeling approaches to determine which modeling method best fits the data; (3) examine the realized distribution of the pathogen under climatic conditions in the reference period (1971–2000); and (4) predict the potential future global distribution of the pathogen under various climate change scenarios. These objectives were achieved using a species distribution modeling. Four modeling approaches were tested: regression-based model, individual classification trees, bagging with three different base learners, and random forest. Altogether, eight models were developed. An ensemble of the three best models was used to make predictions for the potential distribution of L. acicola: bagging with random tree, bagging with logistic model trees, and random forest. Performance of the model ensemble was very good, with high precision (0.87) and very high AUC (0.94). The potential distribution of L. acicola was computed for five global climate models (GCM) and three combined pathways of Shared Socioeconomic Pathway (SSP) and Representative Concentration Pathway (SSP-RCP): SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5. The results of the five GCMs were averaged on combined SSP-RCP (median) per 30-year period. Eight of 44 studied factors determined as most important in explaining L. acicola distribution were included in the models: mean diurnal temperature range, mean temperature of wettest quarter, precipitation of warmest quarter, precipitation seasonality, moisture in upper portion of soil column of wettest quarter, surface downwelling longwave radiation of driest quarter, surface downwelling shortwave radiation of warmest quarter and elevation. The actual distribution of L. acicola in the reference period 1971–2000 covered 5.9% of Pinus spp. area globally. However, the model ensemble predicted potential distribution of L. acicola to cover an average of 58.2% of Pinus species global cover in the reference period. Different climate change scenarios (five GCMs, three SSP-RCPs) showed a positive trend in possible range expansion of L. acicola for the period 1971–2100. The average model predictions toward the end of the century showed the potential distribution of L. acicola rising to 62.2, 61.9, 60.3% of Pinus spp. area for SSP1-RCP2.6, SSP2-RCP4.5, SSP5-RCP8.5, respectively. However, the 95% confidence interval encompassed 35.7–82.3% of global Pinus spp. area in the period 1971–2000 and 33.6–85.8% in the period 2071–2100. It was found that SSP-RCPs had a little effect on variability of BSNB potential distribution (60.3–62.2% in the period 2071–2100 for medium prediction). In contrast, GCMs had vast impact on the potential distribution of L. acicola (33.6–85.8% of global pines area). The maps of potential distribution of BSNB will assist forest managers in considering the risk of BSNB. The results will allow practitioners and policymakers to focus surveillance methods and implement appropriate management plans.
Ključne besede: brown spot needle blight, BSNB, pines, species distribution model, climate change, biosecurity
Objavljeno v DiRROS: 02.08.2023; Ogledov: 380; Prenosov: 235
.pdf Celotno besedilo (11,59 MB)
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52.
Na letošnji licitaciji v Slovenj Gradcu največje število vredne hlodovine do zdaj
Martin Jež, 2023, strokovni članek

Ključne besede: gozdarstvo, licitacije, okrogli les, vrednotenje lesa, cene
Objavljeno v DiRROS: 27.07.2023; Ogledov: 416; Prenosov: 126
.pdf Celotno besedilo (6,80 MB)

53.
Gozdarstvo v Sloveniji leta 1923
Martin Jež, Urban Žitko, Amina Gačo, 2023, strokovni članek

Ključne besede: gozdarstvo, Slovenija, spravilo lesa, lastništvo gozda, obnova gozda, lesna industrija
Objavljeno v DiRROS: 27.07.2023; Ogledov: 408; Prenosov: 114
.pdf Celotno besedilo (2,57 MB)

54.
Integrating geological data in Europe to foster multidisciplinary research
Marc Urvois, Sylvain Grellet, Henning Lorenz, Rainer Haener, Christelle Loiselet, Matthew Harrison, Matija Krivic, Christian Brogaard Pedersen, Marianne B. Wiese, Amelia Baptie, Martin Nayembil, James Trench, Ivor Marsh, Carlo Cipolloni, Chiara d'Ambrogi, Maria Pia Congi, 2022, izvirni znanstveni članek

Povzetek: This paper presents novel data discovery and integration, facilitated using borehole logging information with on-demand web services to produce 3D geological structures. This domain interoperability across EPOS was created for the purpose of research, but it is also highly relevant for the response to societal grand challenges such as natural hazards and climate change. European and international interoperability implementation frameworks are well described and used (e.g., INSPIRE, ISO, OGC, and IUGS/CGI). It can be difficult for data providers to deploy web services that support the full semantic data definition (e.g., OGC Complex Feature) to expose several millions of geological entities through web-enabled data portals as required by pan-European projects.
Ključne besede: EPOS, geological information, borehole, FAIR, linked data
Objavljeno v DiRROS: 19.07.2023; Ogledov: 353; Prenosov: 116
.pdf Celotno besedilo (1,98 MB)

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Application of electrochemical methods for studying steel corrosion in alkali-activated materials
Shishir Mundra, Gabriel Samson, Giulia Masi, Rebecca Achenbach, David M. Bastidas, Susana Bernal, Maria Chiara Bignozzi, Maria Criado, Martin Cyr, Nina Gartner, Stefanie von Greve‐Dierfeld, Andraž Legat, Nikoonasab Ali, John L. Provis, Michael Raupach, Gregor J. G. Gluth, 2023, izvirni znanstveni članek

Povzetek: Alkali‐activated materials (AAMs) are binders that can complement and partially substitute the current use of conventional cement. However, the present knowledge about how AAMs protect steel reinforcement in concrete elements is incomplete, and uncertainties exist regarding the application of electrochemical methods to investigate this issue. The present review by EFC WP11‐Task Force ‘Corrosion of steel in alkali‐activated materials’ demonstrates that important differences exist between AAMs and Portland cement, and between different classes of AAMs, which are mainly caused by differing pore solution compositions, and which affect the outcomes of electrochemical measurements. The high sulfide concentrations in blast furnace slag‐based AAMs lead to distinct anodic polarisation curves, unusually low open circuit potentials, and low polarisation resistances, which might be incorrectly interpreted as indicating active corrosion of steel reinforcement. No systematic study of the influence of the steel–concrete interface on the susceptibility of steel to corrosion in AAMs is available. Less common electrochemical methods present an opportunity for future progress in the field.
Ključne besede: alkali-aktivated materials, alkali‐activated materials, anodic/cathodic polarisation, concrete, linear polarisation resistance, open circuit potential, reinforcement corrosion, resistivity
Objavljeno v DiRROS: 29.05.2023; Ogledov: 322; Prenosov: 138
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