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Št. zadetkov: 4
Izvirni znanstveni članek
Oznake: gostotne fluktuacije;sredozemski ekosistemi;hrast;branike;anatomija lesa;false rings;Mediterranean ecosystems;oak;pine;tree-rings;wood anatomical traits;
Fluctuations in climatic conditions during the growing season are recorded in Mediterranean tree-rings and often result in intra-annual density fluctuations (IADFs). Dendroecology and quantitative wood anatomy analyses were used to characterize the relations between the variability of IADF traits an ...
Leto: 2020 Vir: Biotehniška fakulteta (UL BF)
Pregledni znanstveni članek
Oznake: bibliografija;sprememba klimebiologija lesa;dendrokronologija;kronologije širin branik;ekologija;bibliography;wood biology;dendrochronology;tree-ring chronologies;basal area incrementecology;Eckstein;Dieter;1939-2021;
Prof. Dr. Dieter Eckstein (1939 - 2021) significantly influenced the global development of dendrochronology and the underlying science of wood biology. Eckstein’s research areas included dendroclimatology, xylogenesis, ecophysiology, and quantitative wood anatomy. His personal and collaborative work ...
Leto: 2024 Vir: Biotehniška fakulteta (UL BF)
Izvirni znanstveni članek
Oznake: Ag-NPs;pathway of uptake;Pinus sylvestris L.;Populus nigra L.;Quercus pubescens Willd;
A major environmental pollution problem is the release into the atmosphere of particulate matter, including nanoparticles (NPs), which causes serious hazards to human and ecosystem health, particularly in urban areas. However, knowledge about the uptake, translocation and accumulation of NPs in plan ...
Leto: 2019 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Samostojni znanstveni sestavek ali poglavje v monografski publikaciji
Oznake: gorski gozdovi;sonaravno gozdarstvo;podnebno pametno gozdarstvo;modeliranje;SDG 15;climate-smart forestry;CLIMO;forestry management;modelling;
Models to predict the effects of different silvicultural treatments on future forest development are the best available tools to demonstrate and test possible climate-smart pathways of mountain forestry. This chapter reviews the state of the art in modelling approaches to predict the future growth o ...
Leto: 2022 Vir: Biotehniška fakulteta (UL BF)
Št. zadetkov: 4
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