Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Soil Carbon Dynamics
Carbon stored in soils represents the largest terrestrial carbon pool and factors affecting this will be vital in the understanding of future atmospheric CO2 concentrations. This book provides an integrated view on measuring and modeling soil carbon dynamics. Based on a broad range of in-depth contributions by leading scientists it gives an overview of current research concepts, developments and outlooks and introduces cutting-edge methodologies, ranging from questions of appropriate measurement design to the potential application of stable isotopes and molecular tools. It includes a standardised soil CO2 efflux protocol, aimed at data consistency and inter-site comparability and thus underpins a regional and global understanding of soil carbon dynamics. This book provides an important reference work for students and scientists interested in many aspects of soil ecology and biogeochemical cycles, policy makers, carbon traders and others concerned with the global carbon cycle.
Dark Machines
This book offers a critical primer on how Artificial Intelligence and digitalization are shaping our planet and the risks posed to society and environmental sustainability. As the pressure of human activities accelerates on Earth, so too does the hope that digital and artificially intelligent technologies will be able to help us deal with dangerous climate and environmental change. Technology giants, international think-tanks and policy-makers are increasingly keen to advance agendas that contribute to “AI for Good” or “AI for the Planet." Dark Machines explores why it is naïve and dangerous to assume converging forces of a growing climate crisis and technological change will act syne...
Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation
Extreme weather and climate events, interacting with exposed and vulnerable human and natural systems, can lead to disasters. This Special Report explores the social as well as physical dimensions of weather- and climate-related disasters, considering opportunities for managing risks at local to international scales. SREX was approved and accepted by the Intergovernmental Panel on Climate Change (IPCC) on 18 November 2011 in Kampala, Uganda.
Forestry and Climate Change
This book contains 28 chapters grouped into six sections providing information on forests interact with the other components of the physical and natural world with the human society, and how we could manage forests globally to make the most of their contribution to mitigation of climate change along with the established objective of sustainable management to maximize the full range of economic and non-market benefits which forests provide. Topics covered include: introduction on the interaction between forests and climate change; climate change, forestry and science-policy interface; forestry options for contributing to climate change mitigation; options for adaptation due to impacts of climate change on forests; current and future policy of national and international frameworks; and implications for future forestry and related environmental and development policy.
Pattern Recognition
This book constitutes the proceedings of the 41st DAGM German Conference on Pattern Recognition, DAGM GCPR 2019, held in Dortmund, Germany, in September 2019. The 43 revised full papers presented were carefully reviewed and selected from 91 submissions. The German Conference on Pattern Recognition is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series.
Deep Learning in Science
Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
The Fishmeal Revolution
Introduction -- A deep history of the Humboldt Current ecosystem -- The new industrial ecology of animal farming in the Atlantic and Pacific worlds, 1840-1930 -- Protein from the sea : the "nutrition problem" and the industrialization of fishing in Chile and Peru -- The golden anchoveta : the making of the world's largest single-species fishery in Chimbote, Peru -- States of uncertainty : science, policy, and the bio-economics of Peru's 1972 fishmeal collapse -- The translocal history of industrial fisheries in Iquique and Talcahuano, Chile -- Conclusion -- Appendix A : glossary of marine species -- Appendix B :diagram of Humboldt Current trophic web -- Appendix C : major current systems of Eastern and Central Pacific Ocean -- Appendix D : world fisheries management zones -- Appendix E : world fisheries landings and ENSO events, 1950-2014.
Eddy Covariance
This highly practical handbook is an exhaustive treatment of eddy covariance measurement that will be of keen interest to scientists who are not necessarily specialists in micrometeorology. The chapters cover measuring fluxes using eddy covariance technique, from the tower installation and system dimensioning to data collection, correction and analysis. With a state-of-the-art perspective, the authors examine the latest techniques and address the most up-to-date methods for data processing and quality control. The chapters provide answers to data treatment problems including data filtering, footprint analysis, data gap filling, uncertainty evaluation, and flux separation, among others. The a...
Knowledge Guided Machine Learning
Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and d...
Climate Extremes and Their Implications for Impact and Risk Assessment
Climate extremes often imply significant impacts on human and natural systems, and these extreme events are anticipated to be among the potentially most harmful consequences of a changing climate. However, while extreme event impacts are increasingly recognized, methodologies to address such impacts and the degree of our understanding and prediction capabilities vary widely among different sectors and disciplines. Moreover, traditional climate extreme indices and large-scale multi-model intercomparisons that are used for future projections of extreme events and associated impacts often fall short in capturing the full complexity of impact systems. Climate Extremes and Their Implications for ...
