ORCID Profile
0000-0001-9728-7666
Current Organisation
Fundación General CSIC
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Springer Science and Business Media LLC
Date: 08-2016
DOI: 10.1038/SREP30682
Abstract: Rapid loss of sea ice is opening up the Arctic Ocean to shipping, a practice that is forecasted to increase rapidly by 2050 when many models predict that the Arctic Ocean will largely be free of ice toward the end of summer. These forecasts carry considerable uncertainty because Arctic shipping was previously considered too sparse to allow for adequate validation. Here, we provide quantitative evidence that the extent of Arctic shipping in the period 2011–2014 is already significant and that it is concentrated (i) in the Norwegian and Barents Seas, and (ii) predominantly accessed via the Northeast and Northwest Passages. Thick ice along the forecasted direct trans-Arctic route was still present in 2014, preventing transit. Although Arctic shipping remains constrained by the extent of ice coverage, during every September, this coverage is at a minimum, allowing the highest levels of shipping activity. Access to Arctic resources, particularly fisheries, is the most important driver of Arctic shipping thus far.
Publisher: Frontiers Media SA
Date: 11-2019
Publisher: Springer Science and Business Media LLC
Date: 10-12-2019
DOI: 10.1038/S41598-019-54936-Y
Abstract: Global ocean expeditions have provided minimum estimates of ocean’s prokaryote ersity, supported by apparent asymptotes in the number of prokaryotes with s ling effort, of about 40,000 species, representing % of the species cataloged in the Earth Microbiome Project, despite being the largest habitat in the biosphere. Here we demonstrate that the abundance of prokaryote OTUs follows a scaling that can be represented by a power-law distribution, and as a consequence, we demonstrate, mathematically and through simulations, that the asymptote of rarefaction curves is an apparent one, which is only reached with s le sizes approaching the entire ecosystem. We experimentally confirm these findings using exhaustive repeated s ling of a prokaryote community in the Red Sea and the exploration of global assessments of prokaryote ersity in the ocean. Our findings indicate that, far from having achieved a thorough s ling of prokaryote species abundance in the ocean, global expeditions provide just a start for this quest as the richness in the global ocean is much larger than estimated.
Publisher: Elsevier BV
Date: 03-2017
DOI: 10.1016/J.TREE.2016.12.006
Abstract: Mobile phones and other geolocated devices have produced unprecedented volumes of data on human movement. Analysis of pooled in idual human trajectories using big data approaches has revealed a wealth of emergent features that have ecological parallels in animals across a erse array of phenomena including commuting, epidemics, the spread of innovations and culture, and collective behaviour. Movement ecology, which explores how animals cope with and optimize variability in resources, has the potential to provide a theoretical framework to aid an understanding of human mobility and its impacts on ecosystems. In turn, big data on human movement can be explored in the context of animal movement ecology to provide solutions for urgent conservation problems and management challenges.
Publisher: Springer Science and Business Media LLC
Date: 08-03-2017
DOI: 10.1038/S41598-017-00165-0
Abstract: The growing number of large databases of animal tracking provides an opportunity for analyses of movement patterns at the scales of populations and even species. We used analytical approaches, developed to cope with “big data”, that require no ‘ a priori’ assumptions about the behaviour of the target agents, to analyse a pooled tracking dataset of 272 elephant seals ( Mirounga leonina ) in the Southern Ocean, that was comprised of ,000 location estimates collected over more than a decade. Our analyses showed that the displacements of these seals were described by a truncated power law distribution across several spatial and temporal scales, with a clear signature of directed movement. This pattern was evident when analysing the aggregated tracks despite a wide ersity of in idual trajectories. We also identified marine provinces that described the migratory and foraging habitats of these seals. Our analysis provides evidence for the presence of intrinsic drivers of movement, such as memory, that cannot be detected using common models of movement behaviour. These results highlight the potential for “big data” techniques to provide new insights into movement behaviour when applied to large datasets of animal tracking.
Publisher: Wiley
Date: 16-07-2019
DOI: 10.1002/EAP.1947
Abstract: Telemetry is a key, widely used tool to understand marine megafauna distribution, habitat use, behavior, and physiology however, a critical question remains: "How many animals should be tracked to acquire meaningful data sets?" This question has wide-ranging implications including considerations of statistical power, animal ethics, logistics, and cost. While power analyses can inform s le sizes needed for statistical significance, they require some initial data inputs that are often unavailable. To inform the planning of telemetry and biologging studies of marine megafauna where few or no data are available or where resources are limited, we reviewed the types of information that have been obtained in previously published studies using different s le sizes. We considered s le sizes from one to >100 in iduals and synthesized empirical findings, detailing the information that can be gathered with increasing s le sizes. We complement this review with simulations, using real data, to show the impact of s le size when trying to address various research questions in movement ecology of marine megafauna. We also highlight the value of collaborative, synthetic studies to enhance s le sizes and broaden the range, scale, and scope of questions that can be answered.
Publisher: Frontiers Media SA
Date: 26-06-2019
Publisher: Springer Science and Business Media LLC
Date: 29-09-2020
DOI: 10.1038/S41598-020-72922-7
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Publisher: Frontiers Media SA
Date: 13-02-2018
Publisher: Proceedings of the National Academy of Sciences
Date: 26-02-2018
Abstract: Understanding the key drivers of animal movement is crucial to assist in mitigating adverse impacts of anthropogenic activities on marine megafauna. We found that movement patterns of marine megafauna are mostly independent of their evolutionary histories, differing significantly from patterns for terrestrial animals. We detected a remarkable convergence in the distribution of speed and turning angles across organisms ranging from whales to turtles (epitome for the slowest animals on land but not at sea). Marine megafauna show a prevalence of movement patterns dominated by search behavior in coastal habitats compared with more directed, ballistic movement patterns when the animals move across the open ocean. The habitats through which they move will therefore need to be considered for effective conservation.
Publisher: American Association for the Advancement of Science (AAAS)
Date: 26-02-2021
Abstract: High seas fishing is described by a modular network coupled with a heterogeneous hierarchy of harbors and countries.
Location: United States of America
No related grants have been discovered for Juan Fernández-Gracia.