187,182 research outputs found
Dreyfacher Weeg Zu der Christlichen Vollkom[m]enheit, Nach Anleitung deß Heiligen Ignatii
No full textErkläret von R. P. Petro Waldner, auß der Societät Jesu, der oberteutschen ProvintzVorlageform des Erscheinungsvermerks: Jngolstadt Jn Verlegung Johann Andreas de la Haye, Academischen Buchhändlers. München/ Gedruckt bey Maria Magdalena Ridelin/ Wittib. 1731
LWFBrook90.jl—Including Stable Water Isotopes in a Soil Vegetation Atmosphere Transport Model to Constrain Vertical Root Water Uptake Dynamics
No full textAbstract In water‐limited ecosystems, soil water availability plays a pivotal role in determining the stress levels experienced by vegetation. Understanding the vertical distribution of roots and root water uptake (RWU) is essential for accurately predicting drought conditions using Soil Vegetation Atmosphere Transport (SVAT) models. However, quantifying RWU in environments poses a considerable challenge. Here, stable isotope signatures in water offer a promising avenue for inferring RWU. They can effectively trace the movement of precipitation through soil layers into trees. Combining isotopes with precipitation and soil moisture content enables inferring relative and absolute contributions of soil layers to RWU, thereby providing added benefit over mixing models. In this study, we extended the SVAT model LWF‐Brook90 with transport of stable isotopes in water. The model was validated using measurements from a forest monitoring site and further test cases. Across calibration scenarios combining observed hydrometric and isotopic state variables as calibration targets, we compared model accuracy, predictive uncertainty, and parameter equifinality. Our results demonstrated that the model accurately reproduced observations and that overall model accuracy and precision could be improved by a multi‐objective calibration approach combining isotopic and hydrometric time series. Isotopes specifically constrained parameters linked to RWU and preferential infiltration. Including isotopes reduced uncertainty in parameter estimates and model predictions and reduced parameter equifinality. Combining isotope mixing with SVAT models holds the potential to significantly enhance our mechanistic understanding of water fluxes in water‐limited ecosystems, including dynamics of root water uptake, facilitating more accurate predictions of vegetation responses to changing environmental conditions.Plain Language Summary For vegetation relying on soil‐stored water, the depth of the root water uptake is critical during conditions with dry topsoil. In order to predict vegetation stress during drought with simulation models we need to understand at which depth the water a plant uses was taken up. However, measuring root water uptake is difficult. Often stable isotopes in water are used to track relative contribution of rainfall events or of soil layers to plant water. When we combine isotopic with soil moisture measurements, absolute contribution can be inferred. To do so, we extended the existing simulation model LWF‐Brook90 to enable calibrating the model to isotopic observations. This new implementation was validated, by calibrating it to observed data from a forest monitoring site as well as quantifying how well it fits and how uncertain its predictions are. We found that model uncertainty in parameters and predictions was reduced when using isotopes in addition to soil moisture and soil matric potential. From the combination of these observations, we can potentially infer more about the mechanistic working of the water fluxes in ecosystems than with either one of them. This is especially important if conditions shift due to climate change.Key Points We extend the process‐based, 1‐dimensional Soil Vegetation Atmosphere Transport model LWF‐Brook90 with transport of stable isotopes in water The model is successfully validated against hydrometric as well as soil and xylem water isotope observations from a forest monitoring site Calibrating 55 model parameters with isotopes reduces predictive uncertainty and parameter equifinality, especially for soil water fluxesAbstract In water‐limited ecosystems, soil water availability plays a pivotal role in determining the stress levels experienced by vegetation. Understanding the vertical distribution of roots and root water uptake (RWU) is essential for accurately predicting drought conditions using Soil Vegetation Atmosphere Transport (SVAT) models. However, quantifying RWU in environments poses a considerable challenge. Here, stable isotope signatures in water offer a promising avenue for inferring RWU. They can effectively trace the movement of precipitation through soil layers into trees. Combining isotopes with precipitation and soil moisture content enables inferring relative and absolute contributions of soil layers to RWU, thereby providing added benefit over mixing models. In this study, we extended the SVAT model LWF‐Brook90 with transport of stable isotopes in water. The model was validated using measurements from a forest monitoring site and further test cases. Across calibration scenarios combining observed hydrometric and isotopic state variables as calibration targets, we compared model accuracy, predictive uncertainty, and parameter equifinality. Our results demonstrated that the model accurately reproduced observations and that overall model accuracy and precision could be improved by a multi‐objective calibration approach combining isotopic and hydrometric time series. Isotopes specifically constrained parameters linked to RWU and preferential infiltration. Including isotopes reduced uncertainty in parameter estimates and model predictions and reduced parameter equifinality. Combining isotope mixing with SVAT models holds the potential to significantly enhance our mechanistic understanding of water fluxes in water‐limited ecosystems, including dynamics of root water uptake, facilitating more accurate predictions of vegetation responses to changing environmental conditions.Plain Language Summary For vegetation relying on soil‐stored water, the depth of the root water uptake is critical during conditions with dry topsoil. In order to predict vegetation stress during drought with simulation models we need to understand at which depth the water a plant uses was taken up. However, measuring root water uptake is difficult. Often stable isotopes in water are used to track relative contribution of rainfall events or of soil layers to plant water. When we combine isotopic with soil moisture measurements, absolute contribution can be inferred. To do so, we extended the existing simulation model LWF‐Brook90 to enable calibrating the model to isotopic observations. This new implementation was validated, by calibrating it to observed data from a forest monitoring site as well as quantifying how well it fits and how uncertain its predictions are. We found that model uncertainty in parameters and predictions was reduced when using isotopes in addition to soil moisture and soil matric potential. From the combination of these observations, we can potentially infer more about the mechanistic working of the water fluxes in ecosystems than with either one of them. This is especially important if conditions shift due to climate change.Key Points We extend the process‐based, 1‐dimensional Soil Vegetation Atmosphere Transport model LWF‐Brook90 with transport of stable isotopes in water The model is successfully validated against hydrometric as well as soil and xylem water isotope observations from a forest monitoring site Calibrating 55 model parameters with isotopes reduces predictive uncertainty and parameter equifinality, especially for soil water fluxesAbstract In water‐limited ecosystems, soil water availability plays a pivotal role in determining the stress levels experienced by vegetation. Understanding the vertical distribution of roots and root water uptake (RWU) is essential for accurately predicting drought conditions using Soil Vegetation Atmosphere Transport (SVAT) models. However, quantifying RWU in environments poses a considerable challenge. Here, stable isotope signatures in water offer a promising avenue for inferring RWU. They can effectively trace the movement of precipitation through soil layers into trees. Combining isotopes with precipitation and soil moisture content enables inferring relative and absolute contributions of soil layers to RWU, thereby providing added benefit over mixing models. In this study, we extended the SVAT model LWF‐Brook90 with transport of stable isotopes in water. The model was validated using measurements from a forest monitoring site and further test cases. Across calibration scenarios combining observed hydrometric and isotopic state variables as calibration targets, we compared model accuracy, predictive uncertainty, and parameter equifinality. Our results demonstrated that the model accurately reproduced observations and that overall model accuracy and precision could be improved by a multi‐objective calibration approach combining isotopic and hydrometric time series. Isotopes specifically constrained parameters linked to RWU and preferential infiltration. Including isotopes reduced uncertainty in parameter estimates and model predictions and reduced parameter equifinality. Combining isotope mixing with SVAT models holds the potential to significantly enhance our mechanistic understanding of water fluxes in water‐limited ecosystems, including dynamics of root water uptake, facilitating more accurate predictions of vegetation responses to changing environmental conditions.Plain Language Summary For vegetation relying on soil‐stored water, the depth of the root water uptake is critical during conditions with dry topsoil. In order to predict vegetation stress during drought with simulation models we need to understand at which depth the water a plant uses was taken up. However, measuring root water uptake is difficult. Often stable isotopes in water are used to track relative contribution of rainfall events or of soil layers to plant water. When we combine isotopic with soil moisture measurements, absolute contribution can be inferred. To do so, we extended the existing simulation model LWF‐Brook90 to enable calibrating the model to isotopic observations. This new implementation was validated, by calibrating it to observed data from a forest monitoring site as well as quantifying how well it fits and how uncertain its predictions are. We found that model uncertainty in parameters and predictions was reduced when using isotopes in addition to soil moisture and soil matric potential. From the combination of these observations, we can potentially infer more about the mechanistic working of the water fluxes in ecosystems than with either one of them. This is especially important if conditions shift due to climate change.Key Points We extend the process‐based, 1‐dimensional Soil Vegetation Atmosphere Transport model LWF‐Brook90 with transport of stable isotopes in water The model is successfully validated against hydrometric as well as soil and xylem water isotope observations from a forest monitoring site Calibrating 55 model parameters with isotopes reduces predictive uncertainty and parameter equifinality, especially for soil water fluxe
Un nuovo approccio nella difesa dall’oidio della vite
No full textNel corso del 2019 è stata condotta una sperimentazione a San Michele all’Adige (Trento) e a Radda
in Chianti (Siena) per valutare l’efficacia di un nuovo
fungicida biologico a base di Bacillus pumilus ceppo
QST2808 (Sonata) nel controllo dell’oidio della vite. Il prodotto è risultato efficace e selettivo verso i fitoseidi rendendo il prodotto
un’interessante soluzione sia in agricoltura biologica sia integrata
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Canine immune-mediated polyarthritis: clinical and laboratory findings in 83 cases in western Canada (1991-2001).
No full textA hospital-based, case-control study was used to describe clinical and laboratory findings in 83 dogs diagnosed with noninfectious, nonerosive, immune-mediated polyarthritis (IMPA) in western Canada. Case medical records were reviewed. Cases were analyzed as total IMPA cases and as subgroups [breed, systemic lupus erythematosus (SLE), reactive, and idiopathic] and compared with the general canine hospital population. Dogs with IMPA differed in age (P = 0.004) and weight (P = 0.01) from other hospital admissions. Idiopathic IMPA cases were older (4-10 y; P < 0.05), compared with the general canine hospital population, and their common laboratory abnormalities included the following: leukocytosis, nonregenerative anemia, increased alkaline phosphatase, and hypoalbuminemia. The SLE cases were seen more often in summer and fall (P = 0.04), raising concern of an undiagnosed etiologic agent. The hock joint appeared to be the most reliable for diagnosis of IMPA, and arthrocentesis of both hock joints may aid in case identification.journal article2008 Decimporte
Die Sturzflammen-Feuerung mit Verbrennungskammern im Feuerraum : ihrer Anwendung insbesondere auf häusliche Feuerungen, Brennöfen, Schmelzöfen, daneben auf Kessel- und Locomotiv-Feuerungen etc. : ein Schritt zur Verhütung der Rauch- und Russ-Plage
No full texterläutert und dargestellt von Wilhelm LönholdtGeschenkexlibris-Etikette: "Geschenk aus dem Nachlasse von August Waldner." 002230365_0001 Exemplar der ETH-BIBIndirektes handschriftliches Exlibris: "1907, 136", das ist August Waldner 002194263_0003 Exemplar der ETH-BI
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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