The environmental eScience revolution

Gurney, R. J.; Badcock, N.S; Garnett, E.A; Godfray, H. C. J.

doi:10.1098/rsta.2008.0253

Cited by 2 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cyber-infrastructures built according to Ecoinformatics information-flow principles, on top of a hybrid-data proceeding from networked platforms, are "Virtual Research Environments" for ecological monitoring [68]. Data banks should not only be conceived of as mere repositories for multiparametric information with poor sematic value but should also provide computational tools and high-level functionality for automatically composing information workflows (i.e., from data collection at each sensor and platform to its global elaboration over the network area) [69][70][71][72]. These workflows should be capable of yielding new scientific knowledge for a diversified class of end-users spanning form scientists to citizens and policy makers.…”

Section: Cyber-infrastructure Developmentmentioning

confidence: 99%

The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms

Aguzzi

Chatzievangelou

Francescangeli

et al. 2020

Sensors

View full text Add to dashboard Cite

Measuring biodiversity simultaneously in different locations, at different temporal scales, and over wide spatial scales is of strategic importance for the improvement of our understanding of the functioning of marine ecosystems and for the conservation of their biodiversity. Monitoring networks of cabled observatories, along with other docked autonomous systems (e.g., Remotely Operated Vehicles [ROVs], Autonomous Underwater Vehicles [AUVs], and crawlers), are being conceived and established at a spatial scale capable of tracking energy fluxes across benthic and pelagic compartments, as well as across geographic ecotones. At the same time, optoacoustic imaging is sustaining an unprecedented expansion in marine ecological monitoring, enabling the acquisition of new biological and environmental data at an appropriate spatiotemporal scale. At this stage, one of the main problems for an effective application of these technologies is the processing, storage, and treatment of the acquired complex ecological information. Here, we provide a conceptual overview on the technological developments in the multiparametric generation, storage, and automated hierarchic treatment of biological and environmental information required to capture the spatiotemporal complexity of a marine ecosystem. In doing so, we present a pipeline of ecological data acquisition and processing in different steps and prone to automation. We also give an example of population biomass, community richness and biodiversity data computation (as indicators for ecosystem functionality) with an Internet Operated Vehicle (a mobile crawler). Finally, we discuss the software requirements for that automated data processing at the level of cyber-infrastructures with sensor calibration and control, data banking, and ingestion into large data portals.

show abstract

Section: Cyber-infrastructure Developmentmentioning

confidence: 99%

The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms

Aguzzi

Chatzievangelou

Francescangeli

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…An example is NERC environmental eScience consortia comprising a variety of VOs in the fields of environmental sciences to share resources and perform collaborator (Gurney et al, 2009). Similarly, the structural design field is currently at the dawn of adopting a new IT known as Building Information Modeling, which promises to revolutionize the design and the construction of buildings.…”

mentioning

confidence: 99%

A Cyber-Based Data-Enabled Virtual Organization for Wind Load Effects on Civil Infrastructures: VORTEX-Winds

Kareem

Kwon

2017

Front. Built Environ.

View full text Add to dashboard Cite

Despite many advances in the area of wind effects on structures in recent decades, research has been traditionally conducted within limited resources scattered geographically. With the trend toward increasingly complex designs of civil infrastructure combined with the escalating potential for losses by extreme wind events, a new culture of research needs to be established based on innovative and collaborative solutions for better management of the impact of extreme wind events. To address this change, this paper presents a new paradigm of a multiscale cyber-based laboratory framework for the analysis/ design, modeling, and simulation of wind load effects based on an ongoing collaborative cyberinfrastructure-based platform, Virtual Organization for Reducing the Toll of EXtreme Winds (VORTEX-Winds, https://vortex-winds.org), and discusses its current status since its inception in 2007 and ongoing developments. This collaborative framework as it evolves would enable a paradigm shift by offering advanced cyber-enabled modules (e-modules) for accelerating advances in research and education to achieve improved understanding and better modeling of wind effects on structures. Accordingly, it will enhance wind community's analysis and design capabilities to address next-gener ation challenges posed by wind. Through empowering those without computational or experimental resources, the e-modules will encompass a large set of subject areas and topics categorized as Database-enabled design, Full-scale/Field site data repository, Statistical/Stochastic toolboxes, Tele-experimentation, Uncertainty modeling, Damage assessment, and Computational platforms. This prototype will allow access to the individual e-module, while it is envisaged that next level of development in VORTEX-Winds will have the capability for an automated and integrated analysis/design through a nexus of e-modules. A highlight of the e-modules currently completed or in development is presented not only to show the efficacy of the framework to enhance and supplement the limitation of traditional off-line approaches but also to describe architecture and features of e-modules to promote additional cyber-enabled data-driven developments in the field.

show abstract

The environmental eScience revolution

Cited by 2 publications

References 22 publications

The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms

The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms

A Cyber-Based Data-Enabled Virtual Organization for Wind Load Effects on Civil Infrastructures: VORTEX-Winds

Contact Info

Product

Resources

About