| 1. |
- Poyatos, R., et al.
(författare)
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Global transpiration data from sap flow measurements: the SAPFLUXNET database
- 2021
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Ingår i: Earth System Science Data. - : Copernicus GmbH. - 1866-3508 .- 1866-3516. ; 13:6, s. 2607-2649
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Tidskriftsartikel (refereegranskat)abstract
- Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land-atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 % of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 % of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56 % of the datasets. Many datasets contain data for species that make up 90 % or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (https://doi.org/10.5281/zenodo.3971689; Poyatos et al., 2020a). The "sapfluxnetr" R package - designed to access, visualize, and process SAPFLUXNET data - is available from CRAN.
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| 2. |
- Gent, Matthew Raymond, et al.
(författare)
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The SAPP pipeline for the determination of stellar abundances and atmospheric parameters of stars in the core program of the PLATO mission
- 2022
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Ingår i: Astronomy and Astrophysics. - : EDP Sciences. - 0004-6361 .- 1432-0746. ; 658
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Tidskriftsartikel (refereegranskat)abstract
- We introduce the SAPP (Stellar Abundances and atmospheric Parameters Pipeline), the prototype of the code that will be used to determine parameters of stars observed within the core program of the PLATO space mission. The pipeline is based on the Bayesian inference and provides effective temperature, surface gravity, metallicity, chemical abundances, and luminosity. The code in its more general version has a much wider range of potential applications. It can also provide masses, ages, and radii of stars and can be used with stellar types not targeted by the PLATO core program, such as red giants. We validate the code on a set of 27 benchmark stars that includes 19 FGK-type dwarfs, 6 GK-type subgiants, and 2 red giants. Our results suggest that combining various observables is the optimal approach, as this allows the degeneracies between different parameters to be broken and yields more accurate values of stellar parameters and more realistic uncertainties. For the PLATO core sample, we obtain a typical uncertainty of 27 (syst.) +/- 37 (stat.) K for T-eff, 0.00 +/- 0.01 dex for log g, 0.02 +/- 0.02 dex for metallicity [Fe/H], -0.01 +/- 0.03 R-circle dot for radii, -0.01 +/- 0.05 M-circle dot for stellar masses, and -0.14 +/- 0.63 Gyr for ages. We also show that the best results are obtained by combining the nu(max) scaling relation with stellar spectra. This resolves the notorious problem of degeneracies, which is particularly important for F-type stars.
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| 3. |
- Guiglion, G., et al.
(författare)
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Beyond Gaia DR3 : Tracing the [α/M] - [M/H] bimodality from the inner to the outer Milky Way disc with Gaia-RVS and convolutional neural networks
- 2024
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Ingår i: Astronomy and Astrophysics. - 0004-6361 .- 1432-0746. ; 682
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Tidskriftsartikel (refereegranskat)abstract
- Context. In June 2022, Gaia DR3 provided the astronomy community with about one million spectra from the Radial Velocity Spectrometer (RVS) covering the CaII triplet region. In the next Gaia data releases, we anticipate the number of RVS spectra to successively increase from several 10 million spectra to eventually more than 200 million spectra. Thus, stellar spectra are projected to be produced on an ‘industrial scale’, with numbers well above those for current and anticipated ground-based surveys. However, one-third of the published spectra have 15 ≤ S /N ≤ 25 per pixel such that they pose problems for classical spectral analysis pipelines, and therefore, alternative ways to tap into these large datasets need to be devised.Aims. We aim to leverage the versatility and capabilities of machine learning techniques for supercharged stellar parametrisation by combining Gaia-RVS spectra with the full set of Gaia products and high-resolution, high-quality ground-based spectroscopic reference datasets.Methods. We developed a hybrid convolutional neural network (CNN) that combines the Gaia DR3 RVS spectra, photometry (G, G_BP, G_RP), parallaxes, and XP coefficients to derive atmospheric parameters (Teff, log(g) as well as overall [M/H]) and chemical abundances ([Fe/H] and [α/M]). We trained the CNN with a high-quality training sample based on APOGEE DR17 labels.Results. With this CNN, we derived homogeneous atmospheric parameters and abundances for 886 080 RVS stars that show remarkable precision and accuracy compared to external datasets (such as GALAH and asteroseismology). The CNN is robust against noise in the RVS data, and we derive very precise labels down to S/N =15. We managed to characterise the [α/M] - [M/H] bimodality from the inner regions to the outer parts of the Milky Way, which has never been done using RVS spectra or similar datasets.Conclusions. This work is the first to combine machine learning with such diverse datasets and paves the way for large-scale machine learning analysis of Gaia-RVS spectra from future data releases. Large, high-quality datasets can be optimally combined thanks to the CNN, thereby realising the full power of spectroscopy, astrometry, and photometry.
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| 4. |
- Kattge, Jens, et al.
(författare)
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TRY plant trait database - enhanced coverage and open access
- 2020
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Ingår i: Global Change Biology. - : Wiley-Blackwell. - 1354-1013 .- 1365-2486. ; 26:1, s. 119-188
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Tidskriftsartikel (refereegranskat)abstract
- Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
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| 5. |
- Ozgen, H, et al.
(författare)
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International Consensus Statement for the Screening, Diagnosis, and Treatment of Adolescents with Concurrent Attention-Deficit/Hyperactivity Disorder and Substance Use Disorder
- 2020
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Ingår i: European addiction research. - : S. Karger AG. - 1421-9891 .- 1022-6877. ; 26:4-5, s. 223-232
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Tidskriftsartikel (refereegranskat)abstract
- <b><i>Background:</i></b> Childhood attention-deficit/hyperactivity disorder (ADHD) is a risk factor for substance misuse and substance use disorder (SUD) in adolescence and (early) adulthood. ADHD and SUD also frequently co-occur in treatment-seeking adolescents, which complicates diagnosis and treatment and is associated with poor treatment outcomes. Research on the effect of treatment of childhood ADHD on the prevention of adolescent SUD is inconclusive, and studies on the diagnosis and treatment of adolescents with ADHD and SUD are scarce. Thus, the available evidence is generally not sufficient to justify robust treatment recommendations. <b><i>Objective:</i></b> The aim of the study was to obtain a consensus statement based on a combination of scientific data and clinical experience. <b><i>Method:</i></b> A modified Delphi study to reach consensus based upon the combination of scientific data and clinical experience with a multidisciplinary group of 55 experts from 17 countries. The experts were asked to rate a set of statements on the effect of treatment of childhood ADHD on adolescent SUD and on the screening, diagnosis, and treatment of adolescents with comorbid ADHD and SUD. <b><i>Results:</i></b> After 3 iterative rounds of rating and adapting 37 statements, consensus was reached on 36 of these statements representing 6 domains: general (<i>n</i> = 4), risk of developing SUD (<i>n</i> = 3), screening and diagnosis (<i>n</i> = 7), psychosocial treatment (<i>n</i> = 5), pharmacological treatment (<i>n</i> = 11), and complementary treatments (<i>n</i> = 7). Routine screening is recommended for ADHD in adolescent patients in substance abuse treatment and for SUD in adolescent patients with ADHD in mental healthcare settings. Long-acting stimulants are recommended as the first-line treatment of ADHD in adolescents with concurrent ADHD and SUD, and pharmacotherapy should preferably be embedded in psychosocial treatment. The only remaining no-consensus statement concerned the requirement of abstinence before starting pharmacological treatment in adolescents with ADHD and concurrent SUD. In contrast to the majority, some experts required full abstinence before starting any pharmacological treatment, some were against the use of stimulants in the treatment of these patients (independent of abstinence), while some were against the alternative use of bupropion. <b><i>Conclusion:</i></b> This international consensus statement can be used by clinicians and patients together in a shared decision-making process to select the best interventions and to reach optimal outcomes in adolescent patients with concurrent ADHD and SUD.
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| 6. |
- Ozgen, H, et al.
(författare)
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[International Consensus Statement for the Screening, Diagnosis, and Treatment of Adolescents with Concurrent Attention-Deficit/Hyperactivity Disorder and Substance Use Disorder]
- 2022
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Ingår i: Zeitschrift fur Kinder- und Jugendpsychiatrie und Psychotherapie. - : Hogrefe Publishing Group. - 1422-4917 .- 1664-2880. ; 50:1, s. 54-67
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Tidskriftsartikel (refereegranskat)abstract
- Zusammenfassung. Hintergrund: Eine Aufmerksamkeitsdefizit-/Hyperaktivitätsstörung (ADHS) im Kindesalter stellt einen Risikofaktor für Substanzmissbrauch und Störungen durch Substanzgebrauch (Substance Use Disorder, SUD) in der Pubertät und dem (frühen) Erwachsenenalter dar. ADHS und SUD treten auch häufig bei therapiesuchenden Jugendlichen auf, was die Diagnosestellung und Therapie erschwert sowie mit schlechten Behandlungsergebnissen verbunden ist. Forschungsergebnisse über die Wirkung der Behandlung von ADHS im Kindesalter auf die Prävention von SUD im Jugendalter sind nicht eindeutig und Studien über die Diagnose und Behandlung von Jugendlichen mit ADHS und SUD sind selten. Daher reicht die verfügbare Evidenz allgemein nicht aus, um starke Behandlungsempfehlungen zu rechtfertigen. Fragestellung: Ziel dieser Arbeit war es, eine Konsenserklärung auf der Grundlage von wissenschaftlichen Daten und klinischen Erfahrungen zu erhalten. Methodik: Es wurde eine modifizierte Delphi-Studie durchgeführt, um basierend auf der Kombination von wissenschaftlichen Daten und klinischer Erfahrung mit einer multidisziplinären Gruppe von 55 Expert_innen aus 17 Ländern einen Konsens zu erzielen. Die Expert_innen wurden gebeten, eine Reihe von Aussagen über die Wirkung der Behandlung von ADHS im Kindesalter auf die SUD bei Jugendlichen sowie über das Screening, die Diagnostik und die Behandlung von Jugendlichen mit komorbidem ADHS und SUD zu bewerten. Ergebnisse: Nach drei iterativen Bewertungsrunden und der Anpassung von 37 Aussagen wurde ein Konsens über 36 dieser Aussagen erzielt, die sechs Bereiche repräsentieren: allgemein ( n = 4), Risiko der Entwicklung einer SUD ( n = 3), Screening und Diagnostik ( n = 7), psychosoziale Behandlung ( n = 5), pharmakologische Behandlung ( n = 11) und komplementäre Behandlungen ( n = 7). Der Einsatz von Routinescreenings auf ADHS wird bei adoleszenten Patient_innen in einer Suchtbehandlung ebenso wie Routinescreenings auf SUD bei jugendlichen Patient_innen mit ADHS in allgemeinpsychiatrischen Therapiesettings empfohlen. Langwirksame Stimulanzien werden als Behandlung der ersten Wahl von ADHS bei Jugendlichen mit gleichzeitiger ADHS und SUD empfohlen. Die Pharmakotherapie sollte vorzugsweise in psychosoziale Behandlung eingebettet werden. Die einzige nichtkonsentierte Aussage betraf die Notwendigkeit von Abstinenz vor Beginn einer pharmakologischen Behandlung bei Jugendlichen mit ADHS und gleichzeitigem SUD. Im Gegensatz zur Mehrheit verlangten einige Expert_innen eine vollständige Abstinenz vor Beginn einer pharmakologischen Behandlung, einige waren gegen die Verwendung von Stimulanzien bei der Behandlung dieser Patient_innen (unabhängig von Abstinenz), während einige sich gegen die alternative Anwendung von Bupropion aussprachen. Schlussfolgerungen: Diese internationale Konsenserklärung kann von Kliniker_innen und Patient_innen zusammen in einem gemeinsamen Entscheidungsprozess genutzt werden, um die besten Interventionen auszuwählen und die bestmöglichen Ergebnisse bei adoleszenten Patient_innen mit gleichzeitiger ADHS und SUD zu erzielen.
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