Bayesian reweighting of nuclear PDFs and constraints from proton-lead collisions at the LHC

New hard-scattering measurements from the LHC proton-lead run have the potential to provide important constraints on the nuclear parton distributions and thus contributing to a better understanding of the initial state in heavy ion collisions. In order to quantify these constraints, as well as to assess the compatibility with available nuclear data from fixed target experiments and from RHIC, the traditional strategy is to perform a global fit of nuclear PDFs. This procedure is however time consuming and technically challenging, and moreover can only be performed by the PDF fitters themselves. In the case of proton PDFs, an alternative approach has been suggested that uses Bayesian inference to propagate the effects of new data into the PDFs without the need of refitting. In this work, we apply this reweighting procedure to study the impact on nuclear PDFs of low-mass Drell-Yan and single-inclusive hadroproduction pseudo-data from proton-lead collisions at the LHC as representative examples. In the hadroproduction case, in addition we assess the possibility of discriminating between the DGLAP and CGC production frameworks. We find that the LHC proton-lead data could lead to a substantial reduction of the uncertainties on nuclear PDFs, in particular for the small-x gluon PDF where uncertainties could decrease by up to a factor two. The Monte Carlo replicas of EPS09 used in the analysis are released as a public code for general use. It can be directly used, in particular, by the experimental collaborations to check, in a straightforward manner, the degree of compatibility of the new data with the global nPDF analyses.Comment: 21 pages, 10 figure

Mojica Marins: El amo de las sombras

Aquel realizador brasileño responsable de crear un mito del cine de culto a escala mundial, el perverso José del ataúd (Ze do Caixao), se llama José Mojica Marins. Esta es una revisión de la obra de terror más célebre en la historia del cine latinoamericano

Giallo: thriller a la italiana

Entre los grandes géneros populares que aparecieron en Italia hacia la segunda mitad del siglo XX, el giallo destaca por el particular estilo visual y estético que vinculó a varios de sus principales representantes, entre ellos nombres como Ricardo Freda, Mario Bava, Antonio Margheriti o Dario Argento. Indispensable para entender el cine de la posguerra en Italia, se presenta aquí un primer acercamiento a la historia y el legado de lo que hoy se considera un género de culto

ARTHROPODS IN THE DIET OF THE BIRD ASSEMBLAGE FROM A FORESTED RURAL LANDSCAPE IN NORTHERN CHILOÉ ISLAND, CHILE: A QUANTITATIVE STUDY

Abstract ∙ Knowledge of bird diets is important to understand population fluctuations and the persistence of bird com‐ munities in changing landscapes. However, there is a general lack of quantitative information about the composition of bird diets at the community level in the Neotropics. Although consumption of fruits and seeds by birds has been well documented for forest ecosystems in southern South America, consumption of arthropods has received less attention, despite their relevance in bird diets. Here we describe and evaluate the presence and diversity of arthropods consumed by members of different dietary guilds of the avian community from temperate forests and rural land‐ scapes in northern Chiloé Island, Chile (42°S). We estimated the proportion of arthropods consumed by all bird species captured using mist nests in a mixed rural landscape, and identified arthropods at the order level, based on remains contained in bird droppings. In addition, we estimated trophic diversity for those bird species with the highest number of samples. Arthropod remains were prevalent in dropping contents for nearly all sampled species (17 out of 18 captured species), indicating that arthropod consumption is broadly distributed in the avian assemblage. The insectivorous Chilean swallow (Tachycineta leucopyga) had the highest average number of arthropods per sample but the lowest arthropod diversity. On the contrary, the highest arthropod diversity in droppings corresponded to the insectivorous House Wren (Troglodytes aedon). The omnivorous species, Austral Blackbird (Curaeus curaeus) and White‐ crested Elaenia (Elaenia albiceps) consumed mainly Coleoptera. Finally, arthropod orders found in droppings varied among bird species from the same and between dietary guilds. Resumen ∙ Artrópodos en la dieta del ensamble de aves que habitan el paisaje rural del norte de la Isla de Chiloé, Chile La información sobre los distintos componentes de la dieta de aves resulta relevante para entender las variaciones poblacionales y la subsistencia de comunidades ante la modificación del paisaje. Sin embargo, a la fecha, falta información cuantitativa sobre la composición de la dieta a nivel comunitario en el Neotrópico. A pesar de que el consumo de frutas y semillas por aves ha sido bien documentado para los ecosistemas templados del sur, el consumo de artrópodos ha recibido menos atención a pesar de su relevancia en la dieta de las aves. En este trabajo describimos y evaluamos la diversidad de artrópodos en la dieta de miembros de distintos gremios tróficos de la comunidad de aves de los bosques templados del sur de Sudamérica en el norte de la Isla de Chiloé, Chile (42°S). Para cada especie de ave capturada, estimamos la composición y la diversidad trófica de artrópodos en la dieta en base al análisis de heces. Registramos el consumo de artrópodos en 17 de las 18 especies capturadas, sugiriendo que el consumo de artrópodos está ampliamente distribuido en la comunidad de aves analizada. La Golondrina chilena (Tachycineta leucopyga), especie insectívora, tuvo el mayor número de artrópodos promedio por muestra y, a la vez, la menor diversidad de órdenes de artrópodos en su dieta. Por el contrario, el Chercán (Troglodytes aedon), especie insectívora, registró la mayor diversidad de artrópodos consumidos. Entre las especies omnívoras, tanto el Tordo (Curaeus curaeus) como el Fio‐fio (Elaenia albiceps), consumieron principalmente coleópteros. Finalmente, los órdenes de artrópodos registrados variaron entre aves pertenecientes al mismo gremio así como también entre distintos gremios tróficos.

Mapping eucalyptus species using worldview 3 and random forest

Recent advances in remote sensing technologies have allowed the development of new innovative methodologies to obtain geospatial information about Eucalyptus genus distribution. This is an important task for forest stakeholders due to the high presence of this genus in forest plantations worldwide. Therefore, the next step in research should focus on exploring remote sensing possibilities to discern between Eucalytpus species. It would be an important step forward in forest management since different Eucalyptus species present different characteristics and properties that imply different management plans and industrial usages. This study accomplish the classification of E. nitens and E. globulus, the most common Eucalyptus species in the Iberian Peninsula. Worldview-3 images and random forest are used in a forest area placed in Galicia (Northwest of Spain). The differentiation of Eucalyptus species resulted in a producer’s accuracy of 84% and a users’ accuracy of 70% for E. nitens, while for E. globulus accuracy metrics did not reach 70%. The most important bands in the classification were the coastal blue and the blue, followed by the red related ones. The resulting unequal accuracy metrics might be caused by an imbalanced presence of both species in the selected study area. Therefore, further studies might be developed in different locations

Automatic forest change detection through a bi-annual time series of satellite imagery: toward production of an integrated land cover map

Land cover mapping is fundamental for national and international agencies to monitor forest resources. However, monitoring forest disturbances by direct comparison of these maps poses several difficulties and challenges. As a result, different methodologies have been explored to detect forest disturbances. However, most of them cannot be fully integrated with land cover map production since they require additional input data, while others are not suitable for monitoring small land parcels. This study presents a methodology that fulfils the need to integrate land cover mapping with land cover change detection. Specifically, this methodology was designed to complement the Sentinel-2-based land cover mapping used in Galicia, northwest Spain, a region characterized by small land parceling. First, two previously obtained land cover maps from 2019 and 2020 were compared to identify all the pixels with potential land cover changes using QGIS. The behavior of spectral indexes in a time series were then analyzed to identify which of the previously identified pixels correspond to forest disturbances. This step was implemented in the software R. Using the Normalized Difference Vegetation Index (NDVI) to detect different land cover changes it was obtained an overall accuracy of 82%, considering the existence of varying phenologies, diverse topographic conditions, and areas with a high level of stand fragmentation. This study could help agencies that have already developed their own land cover maps to easily advance the integration of their maps with land cover change detection, since this technique can be applied with any land cover mapping methodology based on multitemporal analysis of satellite images, without the need for additional input data.Ministerio de Universidades | Ref. FPU19/02054Agencia Estatal de Investigación | Ref. PID2019-111581RB-I00Xunta de GaliciaUniversidade de Vigo/CISU

Forest cover mapping and Pinus species classification using very high-resolution satellite images and random forest

Advances in remote sensing technologies are generating new perspectives concerning the role of and methods used for National Forestry Inventories (NFIs). The increase in computation capabilities over the last several decades and the development of new statistical techniques have allowed for the automation of forest resource map generation through image analysis techniques and machine learning algorithms. The availability of large-scale data and the high temporal resolution that satellite platforms provide mean that it is possible to obtain updated information about forest resources at the stand level, thus increasing the quality of the spatial information. However, photointerpretation of satellite and aerial images is still the most common way that remote sensing information is used for NFIs or forest management purposes. This study describes a methodology that automatically maps the main forest covers in Galicia (Eucalyptus spp., conifers and broadleaves) using Worldview-2 and the random forest classifier. Furthermore, the method also evaluates the separate mapping of the three most abundant Pinus tree species in Galicia (Pinus pinaster, Pinus radiata and Pinus sylvestris). According to the results, Worldview-2 multispectral images allow for the efficient differentiation between the main forest classes that are present in Galicia with a very high degree of accuracy (91%) and ample spatial detail. Pinus species can also be efficiently differentiated (83%).Xunta de GaliciaAgencia Estatal de Investigación | Ref. PID2019-111581RB-I00Universidade de Vig