Released on 2017-03-03Categories Nature

Terrestrial Ecosystem Research Infrastructures

Terrestrial Ecosystem Research Infrastructures

Author: Abad Chabbi

Publisher: CRC Press

ISBN: 9781315351292

Category: Nature

Page: 534

View: 485

Terrestrial Ecosystem Research Infrastructures: Challenges and Opportunities reveals how environmental research infrastructures (RIs) provide new valuable insights on ecological processes that cannot be realized by more traditional short-term funding cycles and are integral to understand our changing world. This book bonds the latest state-of-the-science knowledge on environmental RIs, the challenges in creating them, their place in addressing scientific frontiers, and the new perspectives they bear. Each chapter is thoughtfully invested with fresh viewpoints from the environmental RI vantage as the authors explore and explain many topics such as the rationale and challenges in global change, field and modeling platforms, new tools, challenges in data management, distilling information into knowledge, and new developments in large-scale RIs. This work serves an advantageous guide for academics and practitioners alike who aim to deepen their knowledge in the field of science and project management, and logistics operations.
Released on 2017-03-03Categories Nature

Terrestrial Ecosystem Research Infrastructures

Terrestrial Ecosystem Research Infrastructures

Author: Abad Chabbi

Publisher: CRC Press

ISBN: 9781498751339

Category: Nature

Page: 534

View: 253

Terrestrial Ecosystem Research Infrastructures: Challenges and Opportunities reveals how environmental research infrastructures (RIs) provide new valuable insights on ecological processes that cannot be realized by more traditional short-term funding cycles and are integral to understand our changing world. This book bonds the latest state-of-the-science knowledge on environmental RIs, the challenges in creating them, their place in addressing scientific frontiers, and the new perspectives they bear. Each chapter is thoughtfully invested with fresh viewpoints from the environmental RI vantage as the authors explore and explain many topics such as the rationale and challenges in global change, field and modeling platforms, new tools, challenges in data management, distilling information into knowledge, and new developments in large-scale RIs. This work serves an advantageous guide for academics and practitioners alike who aim to deepen their knowledge in the field of science and project management, and logistics operations.
Released on 2020-01-01Categories Application software

Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

Author: Zhiming Zhao

Publisher: Springer Nature

ISBN: 9783030528294

Category: Application software

Page: 373

View: 477

This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a 'reference model guided engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and Earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions.
Released on 2012Categories Nature

Biodiversity Monitoring in Australia

Biodiversity Monitoring in Australia

Author: David Lindenmayer

Publisher: CSIRO PUBLISHING

ISBN: 9780643103573

Category: Nature

Page: 210

View: 354

Ecological and biodiversity-based monitoring has been marked by an appalling lack of effectiveness and lack of success in Australia for more than 40 years, despite the billions of dollars that are invested in biodiversity conservation annually. What can be done to rectify this situation? This book tackles many aspects of the problem of biodiversity monitoring. It arose from a major workshop held at The Australian National University in February 2011, attended by leaders in the science, policy-making and management arenas of biodiversity conservation. Chapter contributors examine what has led to successful monitoring, the key problems with biodiversity monitoring and practical solutions to those problems. By capturing critical insights into successes, failures and solutions, the authors provide high-level guidance for important initiatives such as the National Biodiversity Strategy. Ultimately, the authors hope to considerably improve the quality and effectiveness of biodiversity monitoring in Australia, and to arrest the decline of biodiversity. KEY FEATURES * Engaging style * Practical information that is based on very high quality scientific information
Released on 2021-05-11Categories Science

Data Science Applied to Sustainability Analysis

Data Science Applied to Sustainability Analysis

Author: Jennifer Dunn

Publisher: Elsevier

ISBN: 9780128179772

Category: Science

Page: 310

View: 745

Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery Includes considerations sustainability analysts must evaluate when applying big data Features case studies illustrating the application of data science in sustainability analyses
Released on 1998Categories

Terrestrial Ecosystem Responses to Global Change

Terrestrial Ecosystem Responses to Global Change

Author:

Publisher:

ISBN: OCLC:68490811

Category:

Page: 5

View: 787

Uncertainty about the magnitude of global change effects on terrestrial ecosystems and consequent feedbacks to the atmosphere impedes sound policy planning at regional, national, and global scales. A strategy to reduce these uncertainties must include a substantial increase in funding for large-scale ecosystem experiments and a careful prioritization of research efforts. Prioritization criteria should be based on the magnitude of potential changes in environmental properties of concern to society, including productivity; biodiversity; the storage and cycling of carbon, water, and nutrients; and sensitivity of specific ecosystems to environmental change. A research strategy is proposed that builds on existing knowledge of ecosystem responses to global change by (1) expanding the spatial and temporal scale of experimental ecosystem manipulations to include processes known to occur at large scales and over long time periods; (2) quantifying poorly understood linkages among processes through the use of experiments that manipulate multiple interacting environmental factors over a broader range of relevant conditions than did past experiments; and (3) prioritizing ecosystems for major experimental manipulations on the basis of potential positive and negative impacts on ecosystem properties and processes of intrinsic and/or utilitarian value to humans and on feedbacks of terrestrial ecosystems to the atmosphere. Models and experiments are equally important for developing process-level understanding into a predictive capability. To support both the development and testing of mechanistic ecosystem models, a two-tiered design of ecosystem experiments should be used. This design should include both (1) large-scale manipulative experiments for comprehensive testing of integrated ecosystem models and (2) multifactor, multilevel experiments for parameterization of process models across the critical range of interacting environmental factors (CO2, temperature, water, nutrients). With limited resources, these complementary experiments should be focused in high-priority ecosystems, with experimental treatments designed to address the major uncertainties in each system. Critical ecosystems, both managed and unmanaged, have been identified using the above criteria and key uncertainties in current understanding of ecosystem processes used to identify critical issues and experiments. The sizes of both the whole-ecosystem experiments and the multifactor experimental treatment units must be based on the sizes of the dominant organisms, the scale of major processes in each system, and the spatial heterogeneity of each system. For example, large-scale ecosystem manipulations in temperate forests should evaluate at a minimum CO2 and temperature and could be conducted on small, gauged catchments. The multifactor process experiments should address all major environmental driving variables, and the treatment units should be large enough to include multiple individuals of the major tree species. This approach represents a fundamental shift in the scale and integration of experimental ecosystem research: from the current small-scale, single- or two-factor experiments in simple natural or artificial ecosystems to highly coordinated, large-scale, replicated experiments in complex ecosystems, with multiple interacting factors being evaluated at two (or more) complementary levels of spatial scale and process resolution. These experiments will require an unprecedented long-term funding commitment and concentration of large-scale experimental research at a few major sites, with significant new investment in infrastructure to support large interdisciplinary teams of scientists.