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Preface
Vasja Leban, Anže Japelj, Lidija Zadnik Stirn, Špela Pezdevšek Malovrh, 2023, preface, editorial, afterword

Keywords: forest management, economics, conferences, preface
Published in DiRROS: 14.11.2023; Views: 467; Downloads: 135
.pdf Full text (90,49 KB)

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Infestation intensity by the invasive oak lace bug, Corythucha arcuata (Say) in mixed and pure oak stands
Gernot Hoch, Alex Stemmelen, Eötvös Csaba Béla, Werner Hinterstoisser, Miran Lanšćak, Srđan Stojnić, Máté Tóth, Marjana Westergren, Simon Zidar, Milica Zlatković, Nikola Zoric, Maarten De Groot, 2024, original scientific article

Abstract: There has been accumulating evidence for effects of tree species composition on herbivory with many examples of lower damage by specialist feeders in tree species rich forests. In a joint study in five Central and Southeastern European countries, we studied the effect of tree species richness on infestation intensity of the oak lace bug, Corythucha arcuata (Say) (Heteroptera, Tingidae), an invasive pest on oak trees that has spread rapidly across the Balkan Peninsula and Central Europe. Intensity of infestation by C. arcuata on oaks was assessed on three or four study plots with high (pure stands) and three or four plots with low percentage of oak (mixed stands) in each country. Ordinal regression analysis showed that intensity of infestation of trees by C. arcuata differed between countries; no significant effect of stand type (mixed or pure) on infestation levels was detected. When analysing the percentage of trees in the highest infestation class, stand type had a significant effect with more intensive infestation in pure stands. We conclude that mixed stands will not prevent severe infestation but may help mitigating the impact of established C. arcuata populations.
Keywords: associational resistance, Corythucha arcuata, diversity, host tree concentration, invasive forest pest
Published in DiRROS: 14.11.2023; Views: 289; Downloads: 174
.pdf Full text (1,76 MB)
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146.
The LANDSUPPORT geospatial decision support system (S-DSS) vision : operational tools to implement sustainability policies in land planning and management
Fabio Terribile, Marco Acutis, Antonella Agrillo, Erlisiana Anzalone, Sayed Azam-Ali, Marialaura Bancheri, Peter Baumann, Barbara Birli, Antonello Bonfante, Marco Botta, Mitja Ferlan, Jernej Jevšenak, Primož Simončič, Mitja Skudnik, 2023, original scientific article

Abstract: Nowadays, there is contrasting evidence between the ongoing continuing and widespread environmental degradation and the many means to implement environmental sustainability actions starting from good policies (e.g. EU New Green Deal, CAP), powerful technologies (e.g. new satellites, drones, IoT sensors), large databases and large stakeholder engagement (e.g. EIP-AGRI, living labs). Here, we argue that to tackle the above contrasting issues dealing with land degradation, it is very much required to develop and use friendly and freely available web-based operational tools to support both the implementation of environmental and agriculture policies and enable to take positive environmental sustainability actions by all stakeholders. Our solution is the S-DSS LANDSUPPORT platform, consisting of a free web-based smart Geospatial CyberInfrastructure containing 15 macro-tools (and more than 100 elementary tools), co-designed with different types of stakeholders and their different needs, dealing with sustainability in agriculture, forestry and spatial planning. LANDSUPPORT condenses many features into one system, the main ones of which were (i) Web-GIS facilities, connection with (ii) satellite data, (iii) Earth Critical Zone data and (iv) climate datasets including climate change and weather forecast data, (v) data cube technology enabling us to read/write when dealing with very large datasets (e.g. daily climatic data obtained in real time for any region in Europe), (vi) a large set of static and dynamic modelling engines (e.g. crop growth, water balance, rural integrity, etc.) allowing uncertainty analysis and what if modelling and (vii) HPC (both CPU and GPU) to run simulation modelling ‘on-the-fly’ in real time. Two case studies (a third case is reported in the Supplementary materials), with their results and stats, covering different regions and spatial extents and using three distinct operational tools all connected to lower land degradation processes (Crop growth, Machine Learning Forest Simulator and GeOC), are featured in this paper to highlight the platform's functioning. Landsupport is used by a large community of stakeholders and will remain operational, open and free long after the project ends. This position is rooted in the evidence showing that we need to leave these tools as open as possible and engage as much as possible with a large community of users to protect soils and land.
Keywords: land degradation, land management, soil, spatial decision support system, sustainability
Published in DiRROS: 13.11.2023; Views: 356; Downloads: 164
.pdf Full text (4,42 MB)
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147.
Poročilo o preskusu št.: LVG 2023-217 : vzorec št. 2023/00728
Maarten De Groot, 2023, expertise, arbitration decision

Keywords: varstvo gozdov, morfološke analize, Anoplophora chinensis, kitajski kozliček
Published in DiRROS: 13.11.2023; Views: 286; Downloads: 0

148.
Poročilo o preskusu št.: LVG 2023-216 : vzorec št. 2023/00647/MdG
Maarten De Groot, 2023, expertise, arbitration decision

Keywords: varstvo gozdov, morfološke analize, Agrilus planipennis, jesenov krasnik
Published in DiRROS: 13.11.2023; Views: 281; Downloads: 0

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