Spatiotemporal Modeling and Analysis in Marine Science

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Publisher : Frontiers Media SA
ISBN 13 : 2832537448
Total Pages : 175 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Spatiotemporal Modeling and Analysis in Marine Science by : Junyu He

Download or read book Spatiotemporal Modeling and Analysis in Marine Science written by Junyu He and published by Frontiers Media SA. This book was released on 2023-11-29 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of earth observation technologies (such as satellite remote sensing, unmanned aerial vehicle, autonomous underwater vehicle, etc.), an era of big data with important and non-negligible spatial/temporal attributes comes. Novel and rigorous spatiotemporal methodologies and models are needed to process and analyze marine big data. Since many marine environmental processes, such as pollutants diffusion, algae distributions etc., vary or evolve across spatiotemporal domains, detecting the distributions and patterns of marine fauna and, particularly in the coastal regions, will improve our understanding of marine systems and can be beneficial in marine environmental management. The goals of this Research Topic, therefore, are two-fold: (a) to develop methodologies and models in theory and applications, including spatiotemporal geostatistics, geographic information system, deep learning, etc.; (b) to quantitatively gain the knowledge of the marine environment. This Research Topic will provide a platform for researchers to share and exchange their new knowledge gained in a spatiotemporal domain of marine or coastal regions. This Research Topic will cover, but is not limited to, the following areas: • Spatiotemporal variations of physical/chemical/biological indicators (such as chlorophyll, temperature, salinity, colorful dissolved organic matter, suspended solids, nutrients, microplastic, etc.) in marine. • Spatiotemporal variations of potential fishing grounds in marine. • Spatiotemporal variations of the ecosystems in coastal regions, such as salt marshes, mangroves, seagrass, macroalgae, etc. • Spatiotemporal distributions of the pollutants (such as heavy metals, polycyclic aromatic hydrocarbon, etc.) in marine and sediments. • Spatiotemporal evolution pattern modeling and prediction of the marine disasters and abnormal phenomena (such as algal bloom, typhoons, SST anomalies, etc).

Modeling Methods for Marine Science

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Publisher : Cambridge University Press
ISBN 13 : 1139500716
Total Pages : 589 pages
Book Rating : 4.1/5 (395 download)

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Book Synopsis Modeling Methods for Marine Science by : David M. Glover

Download or read book Modeling Methods for Marine Science written by David M. Glover and published by Cambridge University Press. This book was released on 2011-06-02 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: This advanced textbook on modeling, data analysis and numerical techniques for marine science has been developed from a course taught by the authors for many years at the Woods Hole Oceanographic Institute. The first part covers statistics: singular value decomposition, error propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with modeling techniques: finite differences, stability analysis and optimization. The third part describes case studies of actual ocean models of ever increasing dimensionality and complexity, starting with zero-dimensional models and finishing with three-dimensional general circulation models. Throughout the book hands-on computational examples are introduced using the MATLAB programming language and the principles of scientific visualization are emphasised. Ideal as a textbook for advanced students of oceanography on courses in data analysis and numerical modeling, the book is also an invaluable resource for a broad range of scientists undertaking modeling in chemical, biological, geological and physical oceanography.

Modeling with Digital Ocean and Digital Coast

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Publisher : Springer
ISBN 13 : 9783319826417
Total Pages : 0 pages
Book Rating : 4.8/5 (264 download)

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Book Synopsis Modeling with Digital Ocean and Digital Coast by : Xin Zhang

Download or read book Modeling with Digital Ocean and Digital Coast written by Xin Zhang and published by Springer. This book was released on 2018-06-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents essential new insights in research and applications concerning spatial information technologies and coastal disaster prevention modeling for oceanic and coastal regions. As a new research domain of Digital Earth, it covers the latest scientific and technical advances, from the acquisition and integration of observational data, ocean spatio-temporal analysis and coastal flood forecasting to frequency modeling and the development of technical platforms. The individual chapters will be of interest to specialists in oceanic and coastal monitoring and management who deal with aspects of data integration, sharing, visualization, and spatio-temporal analysis from a Digital Earth perspective.

Ocean Modeling and Parameterization

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Publisher : Springer Science & Business Media
ISBN 13 : 9401150966
Total Pages : 459 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Ocean Modeling and Parameterization by : Eric P. Chassignet

Download or read book Ocean Modeling and Parameterization written by Eric P. Chassignet and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: The realism of large scale numerical ocean models has improved dra matically in recent years, in part because modern computers permit a more faithful representation of the differential equations by their algebraic analogs. Equally significant, if not more so, has been the improved under standing of physical processes on space and time scales smaller than those that can be represented in such models. Today, some of the most challeng ing issues remaining in ocean modeling are associated with parameterizing the effects of these high-frequency, small-space scale processes. Accurate parameterizations are especially needed in long term integrations of coarse resolution ocean models that are designed to understand the ocean vari ability within the climate system on seasonal to decadal time scales. Traditionally, parameterizations of subgrid-scale, high-frequency mo tions in ocean modeling have been based on simple formulations, such as the Reynolds decomposition with constant diffusivity values. Until recently, modelers were concerned with first order issues such as a correct represen tation of the basic features of the ocean circulation. As the numerical simu lations become better and less dependent on the discretization choices, the focus is turning to the physics of the needed parameterizations and their numerical implementation. At the present time, the success of any large scale numerical simulation is directly dependent upon the choices that are made for the parameterization of various subgrid processes.

Simulation of the Sea Surface for Remote Sensing

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Publisher : Springer Nature
ISBN 13 : 3030587525
Total Pages : 233 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Simulation of the Sea Surface for Remote Sensing by : Alexander Zapevalov

Download or read book Simulation of the Sea Surface for Remote Sensing written by Alexander Zapevalov and published by Springer Nature. This book was released on 2020-10-09 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers the formation of the signal reflected from the sea surface when sensing in the radio and optical range. Currently, remote sensing from space is the main source of information about the processes taking place in the atmosphere and ocean. The correct interpretation of remote sensing data requires detailed information about the rough surface that forms the reflected signal. The first three chapters describe the statistical and spatial-temporal characteristics of the sea surface, focusing on the effects associated with the nonlinearity of sea surface waves. The analysis makes extensive use of data obtained by the authors on a stationary oceanographic platform located on the Black sea. In the next seven chapters, the authors analyze how the nonlinearity of waves affects the formation of a signal reflected from the sea surface.This book is geared for advanced level research in the general subject area of remote sensing and modeling as they apply to the coastal marine environment. It is of value to scientists and engineers involved in the development of methods and instruments of remote sensing, analysis and interpretation of data. It is useful for students who have decided to devote themselves to the study of the oceans.

Spatiotemporal Analysis of Extreme Hydrological Events

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Publisher : Elsevier
ISBN 13 : 0128117311
Total Pages : 194 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Spatiotemporal Analysis of Extreme Hydrological Events by : Gerald Corzo

Download or read book Spatiotemporal Analysis of Extreme Hydrological Events written by Gerald Corzo and published by Elsevier. This book was released on 2018-11-20 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest developments and methodologies for analyzing and understanding extreme environmental and hydrological events. The book addresses the topic using spatio-temporal methods, such as space-time geostatistics, machine learning, statistical theory, hydrological modelling, neural network and evolutionary algorithms. This important resource for both hydrologists and statisticians interested in the framework of spatial and temporal analysis of hydrological events will provide users with an enhanced understanding of the relationship between magnitude, dynamics and the probability of extreme hydrological events. Presents spatio-temporal processes, including multivariate dynamic modelling Provides varying methodological approaches, giving the readers multiple hydrological modelling information to use in their work Includes a variety of case studies making the context of the book relatable to everyday working situations

Modeling Methods for Marine Science

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Publisher :
ISBN 13 : 9781139144728
Total Pages : 590 pages
Book Rating : 4.1/5 (447 download)

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Book Synopsis Modeling Methods for Marine Science by : Professor of Molecular Genetics Department of Anatomy and Physiology David M Glover

Download or read book Modeling Methods for Marine Science written by Professor of Molecular Genetics Department of Anatomy and Physiology David M Glover and published by . This book was released on 2014-05-14 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook on modelling, data analysis and numerical techniques for advanced students and researchers in chemical, biological, geological and physical oceanography.

Modeling Marine Systems

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Publisher : CRC Press
ISBN 13 : 1351091603
Total Pages : 580 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Modeling Marine Systems by : A. M. Davies

Download or read book Modeling Marine Systems written by A. M. Davies and published by CRC Press. This book was released on 2018-01-18 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume reference presents a series of review and research articles on advances in computing, marine physics, and remote sensing and addresses their importance to shallow sea modeling. Intended as a tribute to Dr. Norman Heaps, topics in the book reflect the range and diversity of his work, as well as his influence on international marine science. Topics discussed include numerical techniques, flow in homogenous sea regions, stratified flows, lake regimes, validation of numerical models, remote sensing as a method to collect oceanographic data at the sea surface, and bottom boundary modeling. Marine scientists actively involved in mathematical modeling and scientists who are interested in using models as tools to gain more insight and understanding of the processes they are observing will find this text useful.

Statistics for Spatio-Temporal Data

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Publisher : John Wiley & Sons
ISBN 13 : 1119243068
Total Pages : 596 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Statistics for Spatio-Temporal Data by : Noel Cressie

Download or read book Statistics for Spatio-Temporal Data written by Noel Cressie and published by John Wiley & Sons. This book was released on 2015-11-02 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the 2013 DeGroot Prize. A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods Noel Cressie and Christopher K. Wikle, are also winners of the 2011 PROSE Award in the Mathematics category, for the book “Statistics for Spatio-Temporal Data” (2011), published by John Wiley and Sons. (The PROSE awards, for Professional and Scholarly Excellence, are given by the Association of American Publishers, the national trade association of the US book publishing industry.) Statistics for Spatio-Temporal Data has now been reprinted with small corrections to the text and the bibliography. The overall content and pagination of the new printing remains the same; the difference comes in the form of corrections to typographical errors, editing of incomplete and missing references, and some updated spatio-temporal interpretations. From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporate the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models. Cressie and Wikle supply a unique presentation that incorporates ideas from the areas of time series and spatial statistics as well as stochastic processes. Beginning with separate treatments of temporal data and spatial data, the book combines these concepts to discuss spatio-temporal statistical methods for understanding complex processes. Topics of coverage include: Exploratory methods for spatio-temporal data, including visualization, spectral analysis, empirical orthogonal function analysis, and LISAs Spatio-temporal covariance functions, spatio-temporal kriging, and time series of spatial processes Development of hierarchical dynamical spatio-temporal models (DSTMs), with discussion of linear and nonlinear DSTMs and computational algorithms for their implementation Quantifying and exploring spatio-temporal variability in scientific applications, including case studies based on real-world environmental data Throughout the book, interesting applications demonstrate the relevance of the presented concepts. Vivid, full-color graphics emphasize the visual nature of the topic, and a related FTP site contains supplementary material. Statistics for Spatio-Temporal Data is an excellent book for a graduate-level course on spatio-temporal statistics. It is also a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.

Spatio-Temporal Models for Ecologists

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Publisher : CRC Press
ISBN 13 : 1003851835
Total Pages : 294 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Spatio-Temporal Models for Ecologists by : James Thorson

Download or read book Spatio-Temporal Models for Ecologists written by James Thorson and published by CRC Press. This book was released on 2024-02-27 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists often simplify analysis by describing changes in density of individuals across a landscape, and statistical methods are advancing rapidly for studying spatio-temporal dynamics. However, spatio-temporal statistics is often presented using a set of principles that may seem very distant from ecological theory or practice. This book seeks to introduce a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community composition, causal attribution, and spatial dynamics. We provide a step-by-step illustration of techniques that combine core spatial-analysis packages in R with low-level computation using Template Model Builder. Techniques are showcased using real-world data from varied ecological systems, providing a toolset for hierarchical modelling of spatio-temporal processes. Spatio-Temporal Models for Ecologists is meant for graduate level students, alongside applied and academic ecologists. Key Features: Foundational ecological principles and analyses Thoughtful and thorough ecological examples Analyses conducted using a minimal toolbox and fast computation Code using R and TMB included in the book and available online

Modeling Marine Systems

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Publisher : CRC Press
ISBN 13 : 135109159X
Total Pages : 447 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Modeling Marine Systems by : A. M. Davies

Download or read book Modeling Marine Systems written by A. M. Davies and published by CRC Press. This book was released on 2018-01-18 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume reference presents a series of review and research articles on advances in computing, marine physics, and remote sensing and addresses their importance to shallow sea modeling. Intended as a tribute to Dr. Norman Heaps, topics in the book reflect the range and diversity of his work, as well as his influence on international marine science. Topics discussed include numerical techniques, flow in homogenous sea regions, stratified flows, lake regimes, validation of numerical models, remote sensing as a method to collect oceanographic data at the sea surface, and bottom boundary modeling. Marine scientists actively involved in mathematical modeling and scientists who are interested in using models as tools to gain more insight and understanding of the processes they are observing will find this text useful.

Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics

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Publisher : Cambridge University Press
ISBN 13 : 113946308X
Total Pages : 479 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics by : Annalisa Griffa

Download or read book Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics written by Annalisa Griffa and published by Cambridge University Press. This book was released on 2007-05-10 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a group of international experts in their field, this book is a review of Lagrangian observation, analysis and assimilation methods in physical and biological oceanography. This multidisciplinary text presents new results on nonlinear analysis of Lagrangian dynamics, the prediction of particle trajectories, and Lagrangian stochastic models. It includes historical information, up-to-date developments, and speculation on future developments in Lagrangian-based observations, analysis, and modeling of physical and biological systems. Containing contributions from experimentalists, theoreticians, and modelers in the fields of physical oceanography, marine biology, mathematics, and meteorology, this book will be of great interest to researchers and graduate students looking for both practical applications and information on the theory of transport and dispersion in physical systems, biological modeling, and data assimilation.

Modelling Ocean Climate Variability

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Publisher : Springer Science & Business Media
ISBN 13 : 1402092083
Total Pages : 385 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Modelling Ocean Climate Variability by : Artem S. Sarkisyan

Download or read book Modelling Ocean Climate Variability written by Artem S. Sarkisyan and published by Springer Science & Business Media. This book was released on 2009-05-13 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this wide-ranging and comprehensive review of the historical development and current status of ocean circulation models, the analysis extends from simple analytical approaches to the latest high-resolution numerical models with data assimilation. The authors, both of whom are pioneer scientists in ocean and shelf sea modelling, look back at the evolution of Western and Eastern modelling methodologies during the second half of the last century. They also present the very latest information on ocean climate modelling and offer examples for a number of oceans and shelf seas. The book includes a critical analysis of literature on ocean climate variability modelling, as well as assessing the strengths and weaknesses of the best-known modelling techniques. It also anticipates future developments in the field, focusing on models based on a synthesis of numerical simulation and field observation, and on nonlinear thermodynamic model data synthesis.

Ecological Models and Data in R

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Publisher : Princeton University Press
ISBN 13 : 0691125228
Total Pages : 408 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Ecological Models and Data in R by : Benjamin M. Bolker

Download or read book Ecological Models and Data in R written by Benjamin M. Bolker and published by Princeton University Press. This book was released on 2008-07-21 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.

Ecocentric fisheries management in european seas: Data gaps, base models and initial assessments, volume I

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Publisher : Frontiers Media SA
ISBN 13 : 2832537758
Total Pages : 179 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Ecocentric fisheries management in european seas: Data gaps, base models and initial assessments, volume I by : Athanassios C. Tsikliras

Download or read book Ecocentric fisheries management in european seas: Data gaps, base models and initial assessments, volume I written by Athanassios C. Tsikliras and published by Frontiers Media SA. This book was released on 2023-10-31 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Spatio-temporal Analysis and Optimization of Land Use/Cover Change

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Publisher : CRC Press
ISBN 13 : 135196674X
Total Pages : 207 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Spatio-temporal Analysis and Optimization of Land Use/Cover Change by : Biao Liu

Download or read book Spatio-temporal Analysis and Optimization of Land Use/Cover Change written by Biao Liu and published by CRC Press. This book was released on 2017-08-07 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes a method to solve land use problems, and has made some significant contributions to the land use analysis and optimization study fields. Firstly, three spatio-temporal logit models for land use change analysis, namely, geographically and temporally weighted logit model (GTWLM), spatio-temporal panel logit model (ST-PLM) and generalized spatio-temporal logit model (GSTLM), are proposed. GTWLM, which considers spatio-temporal non-stationarity, includes temporal data in a spatio-temporal framework by proposing a spatiotemporal distance. ST-PLM incorporates the spatio-temporal correlation and individual effect in one model. By integrating GTWLM and ST-PLM, the GSTLM explores spatio-temporal non-stationarity and correlations simultaneously, whilst considering their individual effects to construct an integrated model. Secondly, a MOO-based two-level spatial planning of land use is proposed. The spatial planning aims at managing and coordinating the land use at different geographic extents and involves spatial layouts and structures of land use at different levels. In spatial planning, GIS and Remote Sensing are used to evaluate, analyze, and measure environmental, economic and social issues. The quantitative relationships between these objectives and spatial land use allocation are then used as rules in the MOO process to simulate environmental conditions under different spatial land use allocation scenarios. The book features a case study of Shenzhen city, the most important Special Economic Zone in China. This book will be of interest to academics and professionals in the fields of urban planning, land resource management, remote sensing and geographic information systems.

Solving Complex Ocean Challenges Through Interdisciplinary Research: Advances from Early Career Marine Scientists

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Publisher : Frontiers Media SA
ISBN 13 : 2889763013
Total Pages : 506 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Solving Complex Ocean Challenges Through Interdisciplinary Research: Advances from Early Career Marine Scientists by : Stephanie Brodie

Download or read book Solving Complex Ocean Challenges Through Interdisciplinary Research: Advances from Early Career Marine Scientists written by Stephanie Brodie and published by Frontiers Media SA. This book was released on 2022-06-01 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Topic Editors Stephanie Brodie, Christopher Cvitanovic, Maria Grazia Pennino, Jon Lopez and André Frainer declare that they are members of the IMBeR (Integrated Marine Biosphere Research) network and IMECaN (Interdisciplinary Marine Early Career Network) and are collaborating with the IMBeR research community.