1,721,274 research outputs found
Intorno al monumento funebre di Antonio Pelacani
Il saggio considera il monumento funebre del medico parmense Antonio Pelacani ubicato in quanto resta del chiostro antico del convento francescano di San Fermo Maggiore. La scelta di sepoltura in questo luogo corrisponde a quella di altri ghibellini 'foresti' presenti a Verona e si distingue per il carattere originale rispetto alla tradizione veronese, adottando la tipologia delle sepolture dei dottori bolognese. Peculiare è anche il sigillo funerario con le figure in scorcio dello stesso Antonio e della moglie Mabilia Pallavicino
Simulation of soil erosion and deposition in a changing land use: A modelling approach to implement the support practice factor
Using the USPED (Unit Stream Power Erosion Deposition) model, three land use scenarios were analysed for an Italian small catchment (15 km2) of high landscape value. The upper Orme stream catchment, located in the Chianti area, 30 km south of Florence, has a long historical agriculture record. Information on land use and soil conservation practices date back to 1821, hence offering an opportunity to model impacts of land use change on erosion and deposition. For this study, a procedure that takes into account soil conservation practices and potential sediment storage is proposed. The approach was to calculate and model the flow accumulation considering rural and logging roads, location of urban areas, drainage ditches, streams, gullies and permanent sediment sinks. This calculation attempts to assess the spatial variability, especially the impact of support practices (P factor). Weather data from 1980-2003 were taken into account to calculate the R factor. However, to consider the intense pluviometric conditions in terms of the erosivity factor, the 0.75th quantile was used, while the lowest erosivity was modelled using the 0.25th quantile. Results of the USPED model simulation show that in 1821 the mean annual net erosion for the watershed was 2.8 Mg ha- 1 y- 1; in 1954 it was 4.2 Mg ha- 1 y- 1; and in 2004 it was 5.3 Mg ha- 1 y- 1. Conservation practices can reduce erosion processes by ≥ 20 Mg ha- 1 y- 1 when the 1821 practices are introduced in the present management. On the other hand, if the support practices are not considered in the model, soil erosion risk is overestimated. Field observation for the present-day simulation confirmed that erosion and associated sediment deposition predicted by the model depend, as expected, on geomorphology and land use. The model shows limitations that are mainly due to the input data. A high resolution DEM is essential for the delineation of reliable topographic potential to predict erosion and deposition especially in vineyards. © 2007 Elsevier B.V. All rights reserved
A functional entity approach to predict soil erosion processes in a small Plio-Pleistocene Mediterranean catchment in Northern Chianti, Italy
In this paper we evaluate different methods to predict soil erosion processes. We derived different layers of predictor variables for the study area in the Northern Chianti, Italy, describing the soil-lithologic complex, land use, and topographic characteristics. For a subcatchment of the Orme River, we mapped erosion processes by interpreting aerial photographs and field observations. These were classified as erosional response units (ERU), i.e. spatial areas of homogeneous erosion processes. The ERU were used as the response variable in the soil erosion modelling process. We applied two models i) bootstrap aggregation (Random Forest: RF), and ii) stochastic gradient boosting (TreeNet: TN) to predict the potential spatial distribution of erosion processes for the entire Orme River catchment. The models are statistically evaluated using training data and a set of performance parameters such as the area under the receiver operating characteristic curve (AUC), Cohen's Kappa, and pseudo R2. Variable importance and response curves provide further insight into controlling factors of erosion. Both models provided good performance in terms of classification and calibration; however, TN outperformed RF. Similar classes such as active and inactive landslides can be discriminated and well interpreted by considering response curves and relative variable importance. The spatial distribution of the predicted erosion susceptibilities generally follows topographic constraints and is similar for both models. Hence, the model-based delineation of ERU on the basis of soil and terrain information is a valuable tool in geomorphology; it provides insights into factors controlling erosion processes and may allow the extrapolation and prediction of erosion processes in unsurveyed areas. © 2010 Elsevier B.V
Agency non umana in un Medioevo postumano: la teoria di Biagio Pelacani sulla generazione spontanea dell'umano dalla materia
I propose to investigate the posthuman idea of non-human agency by creating a contact zone with the thought of the Thirteenth Century philosopher Biagio Pelacani. In a ‘medieval posthumanist’ style, I put in place a creative dialogue with Pelacani on the non-human agency in order to attract critical attention on the relevance, implications, histo- ricity of the posthuman idea of non-human agency. In such a perspec- tive I grasp in Pelacani an idea of material agency that is embodied in a metaphysical-cosmological doctrine according to which there’s an a unique material living animated principle from whose power all that is, including the human with its intellect, is taken from (human spon- taneous generation from matter). In this idea of material agency with its attempt to articulate the boundaries of the human within a vibrant matter it therefore seems to me that I can read a significant trigger for the posthuman idea of agency in its implications of destabilizing the notion of human exceptionality
G. Federici Vescovini. Le Quaestiones De anima di Biagio Pelacani da Parma (Accademia Toscana di Scienze e Lettere, Studi 30)
De Raedemaeker Jozef. G. Federici Vescovini. Le Quaestiones De anima di Biagio Pelacani da Parma (Accademia Toscana di Scienze e Lettere, Studi 30). In: Scriptorium, Tome 30 n°2, 1976. pp. 325-326
Interpretaciones nominalistas del intelecto agente en el s. XIV: Buridán, Oresme y Biagio Pelacani de Parma
In this work we study the version of the agent intellect according to three thinkers of 14th century: Juan Buridan, Nicolas Oresme and Biagio Pelacani of Parma. The three versions are nominalists because –as Ockham– they do not accept the real distinction between the agent and possible intellect.En este trabajo estudiamos la version del intelecto agente de acuerdo a tres pensadores del siglo XIV: Juan Buridan, Nicolas Oresme y Biagio Palacani de Parma. Las tres versiones son nominalistas porque –al igual que Ockham– no aceptan la distinción real entre los intelectos agente y posible
Rignani, O. 2020. "Agency non umana in un Medioevo postumano: la teoria di Biagio Pelacani sulla generazione spontanea dell’umano dalla materia". Open Journal of Humanities, 4: 3-18
I propose to investigate the posthuman idea of non-human agency by creating a contact zone with the thought of the Thirteenth Century philosopher Biagio Pelacani. In a ‘medieval posthumanist’ style, I put in place a creative dialogue with Pelacani on the non-human agency in order to attract critical attention on the relevance, implications, historicity of the posthuman idea of non-human agency. In such a perspective I grasp in Pelacani an idea of material agency that is embodied in a metaphysical-cosmological doctrine according to which there’s an a unique material living animated principle from whose power all that is, including the human with its intellect, is taken from (human spontaneous generation from matter). In this idea of material agency with its attempt to articulate the boundaries of the human within a vibrant matter it therefore seems to me that I can read a significant trigger for the posthuman idea of agency in its implications of destabilizing the notion of human exceptionality
Combining biodiversity and geodiversity on landscape scale: A novel approach using rare earth elements and spatial distribution models in an agricultural Mediterranean landscape
Landform diversity influences and interacts with both biodiversity and geodiversity and thus, they are key factors in the assessment of landscape resilience. However, research on the spatial relationships between landscape geodiversity and biodiversity is challenging because we are still lacking methods to link abiotic with biotic factors. The goal of this study is to explore and quantitatively assess the spatial relationship between geomorphometric factors and the relative distribution of rare earth elements (REEs) in soils and organism. Therefore, we selected a representative Mediterranean landscape characterized by ancient olive grove cultivations. The results show for different landforms and lithotypes a positive linear correlation in the lanthanum/samarium vs. lanthanum/ytterbium (La/Sm vs. La/Yb) signature between the bioavailable fraction of topsoil and olive drupe. Results of La/Yb vs. La/Sm reported as power function for olive drupes and topsoil follow comparable scaling ranges showing a power law of 0.83 and 0.71 respectively with an R2 0.96 vs. 0.71. A different scaling range behavior from topsoil to the related olive drupe was found for each parent rock material. Results of the Machine Learning (ML) modelling framework showed that the LaN/SmN in topsoil, were substantiality correlated to channel network base level, topographic wetness index, NDWI and valley depth. Under the physiographic environmental variables of the study area, the spatial distribution of LaN/YbN was mainly related to the lithological characteristics. Furthermore, NDVI was the most important variable to predict the fractionation ratio of LaN/YbN in olive drupe and the topographic channel network distance for LaN/SmN in olive drupe. Our findings provide new insights in the spatial distribution of REEs allowing an assessment of bio- and geodiversity of olive groves taking into account biophysical factors. Our research represents a starting point for future applications and modelling techniques to analyze at the catchment-scale the REEs biophysical fluxes and food traceability
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