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Na voljo sta dva načina iskanja: enostavno in napredno. Enostavno iskanje lahko zajema niz več besed iz naslova, povzetka, ključnih besed, celotnega besedila in avtorja, zaenkrat pa ne omogoča uporabe operatorjev iskanja. Napredno iskanje omogoča omejevanje števila rezultatov iskanja z vnosom iskalnih pojmov različnih kategorij v iskalna okna in uporabo logičnih operatorjev (IN, ALI ter IN NE). V rezultatih iskanja se izpišejo krajši zapisi podatkov o gradivu, ki vsebujejo različne povezave, ki omogočajo vpogled v podroben opis gradiva (povezava iz naslova) ali sprožijo novo iskanje (po avtorjih ali ključnih besedah).

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201.
Kako bodo Nemci v prihodnje »klasirali« lubadarice?
Mirko Baša, 2020, strokovni članek

Ključne besede: les, klasifikacija lesa, lubadarice, Nemčija
Objavljeno v DiRROS: 11.12.2024; Ogledov: 92; Prenosov: 24
.pdf Celotno besedilo (2,25 MB)

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Citizen science platforms can effectively support early detection of invasive alien species according to species traits
Pablo González-Moreno, Ana A. Anđelković, Tim Adriaens, Christophe Botella, Jakovos Demetriou, Rita Bastos, Sandro Bertolino, Celia López-Cañizares, Franz Essl, Živa Fišer, Maarten De Groot, 2024, izvirni znanstveni članek

Povzetek: Early detection and rapid response are essential to deal effectively with new introductions of invasive alien species (IAS). Citizen science platforms for opportunistic recording of species are increasingly popular, and there is potential to harvest their data for early detection of IAS, but this has not been tested. We evaluated the potential of data from existing citizen science platforms for early detection of IAS by obtaining 687 first records of species from 30 European countries where there was both an official first record (i.e. published in scientific literature or by a government agency) and a record in a citizen science platform. We tested how the difference between the two (time lag) was related to species traits, popularity in citizen science platforms, public and research attention and regulatory status. We found that for 50% of the time lag records, citizen science platforms reported IAS earlier than or in the same year as the official databases. Although we cannot determine causality (the first official record could have been from a citizen science platform, or contemporaneous with it), this demonstrates that citizen science platforms are effective for IAS early detection. Time lags were largely affected by species traits. Compared with official records, vertebrates were more likely to have earlier records on citizen science platforms, than plants or invertebrates. Greater popularity of the IAS in citizen science platforms and its observation in neighbouring countries resulted in earlier citizen science reporting. In contrast, inclusion in the EU priority list resulted in earlier official recording, reflecting the efficacy of targeted surveillance programmes. However, time lags were not affected by the overall activity of citizen platforms per country. Synthesis and applications. Multi-species citizen science platforms for reporting nature sightings are a valuable source of information on early detection of IAS even though they are not specifically designed for this purpose. We recommend that IAS surveillance programmes should be better connected with citizen science platforms, including greater acknowledgement of the role of citizen scientists and better data flow from smaller citizen science initiatives into global databases, to support efficient early detection.
Ključne besede: invasive species, citizen science, early detection
Objavljeno v DiRROS: 11.12.2024; Ogledov: 85; Prenosov: 39
.pdf Celotno besedilo (1,14 MB)
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Eliminating crossings in ordered graphs
Akanksha Agrawal, Sergio Cabello, Michael Kaufmann, Saket Saurabh, Roohani Sharma, Yushi Uno, Alexander Wolff, 2024, objavljeni znanstveni prispevek na konferenci

Povzetek: Drawing a graph in the plane with as few crossings as possible is one of the central problems in graph drawing and computational geometry. Another option is to remove the smallest number of vertices or edges such that the remaining graph can be drawn without crossings. We study both problems in a book-embedding setting for ordered graphs, that is, graphs with a fixed vertex order. In this setting, the vertices lie on a straight line, called the spine, in the given order, and each edge must be drawn on one of several pages of a book such that every edge has at most a fixed number of crossings. In book embeddings, there is another way to reduce or avoid crossings; namely by using more pages. The minimum number of pages needed to draw an ordered graph without any crossings is its (fixed-vertex-order) page number. We show that the page number of an ordered graph with $n$ vertices and $m$ edges can be computed in $2^m \cdot n^{{\mathcal O}(1)}$ time. An ${\mathcal O}(\log n)$-approximation of this number can be computed efficiently. We can decide in $2^{{\mathcal O}(d \sqrt{k} \log (d+k))} \cdot n^{{\mathcal O}(1)}$ time whether it suffices to delete $k$ edges of an ordered graph to obtain a $d$-planar layout (where every edge crosses at most $d$ other edges) on one page. As an additional parameter, we consider the size $h$ of a hitting set, that is, a set of points on the spine such that every edge, seen as an open interval, contains at least one of the points. For $h = 1$, we can efficiently compute the minimum number of edges whose deletion yields fixed-vertex-order page number $p$. For $h > 1$, we give an XP algorithm with respect to $h+p$. Finally, we consider spine+t-track drawings, where some but not all vertices lie on the spine. The vertex order on the spine is given; we must map every vertex that does not lie on the spine to one of $t$ tracks, each of which is a straight line on a separate page, parallel to the spine. In this setting, we can minimize in $2^n \cdot n^{{\mathcal O}(1)}$ time either the number of crossings or, if we disallow crossings, the number of tracks.
Ključne besede: ordered graphs, book embedding, edge deletion, d-planar, hitting set
Objavljeno v DiRROS: 10.12.2024; Ogledov: 73; Prenosov: 35
.pdf Celotno besedilo (1,13 MB)
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209.
Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data
Nina Škrk Dolar, Katarina Čufar, Jernej Jevšenak, 2024, izvirni znanstveni članek

Povzetek: We compared climate-growth relationships by correlating tree-ring variation with daily and monthly meteorological data obtained from the stations of the Slovenian Environment Agency (ARSO) and modelled data from the SLOCLIM database. Tree-ring width series for analyses were obtained from previously collected European beech (Fagus sylvatica) tree-ring data from 30 sites all over Slovenia. Climate-growth correlations were calculated to evaluate whether daily meteorological data exhibits stronger correlations than monthly data. We also compared the maximum correlation coefficients using meteorological station data and gridded SLOCLIM data. The analysis was conducted using the dendroTools R package, incorporating data on daily and monthly average air temperatures and precipitation sums from the period 1960–2018. Our findings revealed significantly higher maximum correlation coefficients for daily data compared to monthly data, underscoring the importance of using daily data, particularly for precipitation. However, no significant difference was observed between maximum correlation coefficients using the meteorological station and modelled data, and the difference did not change significantly with increasing altitude.
Ključne besede: observational data, gridded data, tree rings, correlation analysis, dendroclimatology
Objavljeno v DiRROS: 10.12.2024; Ogledov: 104; Prenosov: 51
.pdf Celotno besedilo (2,41 MB)
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210.
Soil water repellency of two disturbed soils contaminated with different agricultural microplastics tested under controlled laboratory conditions
Špela Železnikar, Damjana Drobne, Matej Hočevar, Matic Noč, Marina Pintar, 2025, izvirni znanstveni članek

Povzetek: Soil water repellency (SWR) significantly affects plant growth, along with surface and subsurface hydrology, posing a challenge for agricultural productivity and environmental sustainability. Nowadays, the occurrence of microplastics (MP) in the environment, particularly from agricultural practices, raises concerns about MP impact on soil properties. Among them, SWR is affected by hydrophobicity of MP particles detected in soils. This study introduces a method and presents results of a screening test to assess the effects of MP on SWR, utilizing Water Drop Penetration Time (WDPT) analysis under controlled laboratory conditions in destructed soil samples. We compared SWR of two soil types differing in portion of sand, loam and clay. Soils were mixed with three different types of MP originating from agricultural mulch films: low-density polyethylene (LDPE), biodegradable poly butylene adipate terephthalate (PBAT), and starch-based biodegradable plastics (Starch). The MP were milled to a uniform size range of some 10 to 300 μm and mixed with the soil samples. WDPT measurements were taken immediately after mixing and recorded for up to 60 s in order to find MP concentration levels at which strongly or more severely water repellency is inducted on soil samples. Our findings reveal that both, soil type and MP type significantly influence SWR, where there are notable differences observed between bio-based (Starch based) and non-bio-based (LDPE and PBAT) plastics’ effects on SWR in the two tested soil types. Data highlights the distinct behaviour of Starch in altering soil hydrophobicity, prominently different from the impact of both PBAT and LDPE. The measurement technique we have developed for quantifying SWR levels could be used for both research applications and the dissemination of findings. It can significantly enhance decision-making processes regarding the selection of optimal plastic alternatives for agricultural use.
Ključne besede: environmental pollution, microplastic, water drop penetration time, laboratory test
Objavljeno v DiRROS: 10.12.2024; Ogledov: 103; Prenosov: 49
.pdf Celotno besedilo (2,16 MB)
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