196 research outputs found
Updating known distribution models for forecasting climate change impact on endangered species
To plan endangered species conservation and to design adequate management programmes, it is necessary to predict their
distributional response to climate change, especially under the current situation of rapid change. However, these
predictions are customarily done by relating de novo the distribution of the species with climatic conditions with no regard
of previously available knowledge about the factors affecting the species distribution. We propose to take advantage of
known species distribution models, but proceeding to update them with the variables yielded by climatic models before
projecting them to the future. To exemplify our proposal, the availability of suitable habitat across Spain for the endangered
Bonelli’s Eagle (Aquila fasciata) was modelled by updating a pre-existing model based on current climate and topography to
a combination of different general circulation models and Special Report on Emissions Scenarios. Our results suggested that
the main threat for this endangered species would not be climate change, since all forecasting models show that its
distribution will be maintained and increased in mainland Spain for all the XXI century. We remark on the importance of
linking conservation biology with distribution modelling by updating existing models, frequently available for endangered
species, considering all the known factors conditioning the species’ distribution, instead of building new models that are
based on climate change variables only.Ministerio de Ciencia e Innovación and FEDER (project CGL2009-11316/BOS
Cognitive stimulation has potential for brain activation in individuals with Rett syndrome
Background: Knowledge regarding neuropsychological training in Rett syndrome (RS) is scarce. The aim of this study was to assess the outcome and the duration of the effect of cognitive stimulation on topographic EEG data in RS. Method: Twenty female children diagnosed with RS were included in the analysis. Girls with RS conducted a cognitive task using an eye-tracker designed to evaluate access and choice skills. EEG data was acquired during the experimental procedure including two 10-minutes baseline stages before and after the task. Topographical changes of several EEG spectral markers including absolute and relative powers, brain symmetry index and entropy were assessed. Results: Topographic significance probability maps suggested statistical decreases on delta activity and increases on beta rhythm associated with the cognitive task. Entropy increased during and after the task, likely related to more complex brain activity. A significant positive interaction was obtained between brain symmetry index (BSI) and age showing that the improvement of interhemispheric symmetry was higher in younger girls (5-10 years). Conclusions: According to our findings, significant alterations of brain rhythms were observed during and after cognitive stimulation, suggesting that cognitive stimulation may have effects on brain activity beyond the stimulation period. Finally, our promising results also showed an increased brain symmetry that was especially relevant for the younger group. This could suggest an interaction of the eye-tracking cognitive task, however, further studies in this field are needed to assess the relation between brain asymmetries and age.We would like to acknowledge specific funding support from the Spanish Patient Associations Mi Princesa Rett and Rettando al Síndrome de Rett. This project has also received funding from Torrons Vicens and the Ministry of Science and Innovation (MICINN), Spain, under
contract PID2020-117751RB-I00. CIBER-BBN is an initiative of the Instituto de Salud Carlos III, Spain. A. Bachiller is a Serra Húnter Fellow. A.García-Cazorla is supported by FIS P118/00111 “Instituto de Salud Carlos III (ISCIII)” and “Fondo Europeo de desarrollo regional (FEDER)”.
A. Tost has received the predoctoral scholarship FI-AGAUR from the Generalitat de Catalunya.Peer ReviewedPostprint (author's final draft
A silviculture-oriented spatio-temporal model for germination in Pinus pinea L. in the Spanish Northern Plateau based on a direct seeding experiment
Natural regeneration in Pinus pinea stands
commonly fails throughout the Spanish Northern Plateau
under current intensive regeneration treatments. As a
result, extensive direct seeding is commonly conducted to
guarantee regeneration occurrence. In a period of rationalization
of the resources devoted to forest management,
this kind of techniques may become unaffordable. Given
that the climatic and stand factors driving germination
remain unknown, tools are required to understand the
process and temper the use of direct seeding. In this study,
the spatio-temporal pattern of germination of P. pinea was
modelled with those purposes. The resulting findings will
allow us to (1) determine the main ecological variables
involved in germination in the species and (2) infer adequate
silvicultural alternatives. The modelling approach
focuses on covariates which are readily available to forest
managers. A two-step nonlinear mixed model was fitted to
predict germination occurrence and abundance in P. pinea
under varying climatic, environmental and stand conditions,
based on a germination data set covering a 5-year
period. The results obtained reveal that the process is primarily
driven by climate variables. Favourable conditions
for germination commonly occur in fall although the
optimum window is often narrow and may not occur at all
in some years. At spatial level, it would appear that germination
is facilitated by high stand densities, suggesting
that current felling intensity should be reduced. In accordance
with other studies on P. pinea dispersal, it seems that
denser stands during the regeneration period will reduce
the present dependence on direct seeding
VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change
Visual place recognition (VPR) is the process of recognising a previously visited place using visual information, often under varying appearance conditions and viewpoint changes and with computational constraints. VPR is related to the concepts of localisation, loop closure, image retrieval and is a critical component of many autonomous navigation systems ranging from autonomous vehicles to drones and computer vision systems. While the concept of place recognition has been around for many years, VPR research has grown rapidly as a field over the past decade due to improving camera hardware and its potential for deep learning-based techniques, and has become a widely studied topic in both the computer vision and robotics communities. This growth however has led to fragmentation and a lack of standardisation in the field, especially concerning performance evaluation. Moreover, the notion of viewpoint and illumination invariance of VPR techniques has largely been assessed qualitatively and hence ambiguously in the past. In this paper, we address these gaps through a new comprehensive open-source framework for assessing the performance of VPR techniques, dubbed “VPR-Bench”. VPR-Bench (Open-sourced at: https://github.com/MubarizZaffar/VPR-Bench) introduces two much-needed capabilities for VPR researchers: firstly, it contains a benchmark of 12 fully-integrated datasets and 10 VPR techniques, and secondly, it integrates a comprehensive variation-quantified dataset for quantifying viewpoint and illumination invariance. We apply and analyse popular evaluation metrics for VPR from both the computer vision and robotics communities, and discuss how these different metrics complement and/or replace each other, depending upon the underlying applications and system requirements. Our analysis reveals that no universal SOTA VPR technique exists, since: (a) state-of-the-art (SOTA) performance is achieved by 8 out of the 10 techniques on at least one dataset, (b) SOTA technique in one community does not necessarily yield SOTA performance in the other given the differences in datasets and metrics. Furthermore, we identify key open challenges since: (c) all 10 techniques suffer greatly in perceptually-aliased and less-structured environments, (d) all techniques suffer from viewpoint variance where lateral change has less effect than 3D change, and (e) directional illumination change has more adverse effects on matching confidence than uniform illumination change. We also present detailed meta-analyses regarding the roles of varying ground-truths, platforms, application requirements and technique parameters. Finally, VPR-Bench provides a unified implementation to deploy these VPR techniques, metrics and datasets, and is extensible through templates
Use of dry electrode electroencephalography (EEG) to monitor pilot workload and distraction based on P300 responses to an auditory oddball task
Recently created man-made habitats in Doñana provide alternative wintering space for the threatened Continental European black-tailed godwit population
Changes in the Circadian Rhythm in Patients with Primary Glaucoma
Purpose
The current study was undertaken to investigate whether glaucoma affects the sleep quality and whether there is any difference between patients with primary glaucoma (primary open angle glaucoma, POAG and primary angle-closure glaucoma, PACG) and healthy subjects, using a validated self-rated questionnaire, the Pittsburgh Sleep Quality Index (PSQI).
Methods
The sleep quality of patients with POAG and PACG was tested against normal controls. Subjects were divided into three sub-groups according to age. Differences in the frequency of sleep disturbances (PSQI score >7) were assessed. The differences of sleep quality within the three groups and within the POAG group depending on the patients’ intraocular pressure (IOP) and impairment of visual field (VF) were also studied.
Results
92 POAG patients, 48 PACG patients and 199 controls were included. Sleep quality declined with age in control and POAG group (tendency chi-square, P0.05). No significant differences were found in POAG group between patients with a highest IOP in daytime and at nighttime (χ2-test, P>0.05).
Conclusions
The prevalence of sleep disorders was higher in patients with POAG and PACG than in controls. PACG patients seemed to have a more serious problem of sleep disorders than POAG patients between 61 to 80 years old. No correlation was found between the prevalence of sleep disorders and impairment of VF or the time when POAG patients showed a highest IOP
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