ABSTRACT
Carbon moves through the atmosphere, through the oceans, onto land, and into ecosystems. This cycling has a large effect on climate – changing geographic patterns of rainfall and the frequency of extreme weather – and is altered as the use of fossil fuels adds carbon to the cycle. The dynamics of this global carbon cycling are largely predicted over broad spatial scales and long periods of time by Earth system models. This book addresses the crucial question of how to assess, evaluate, and estimate the potential impact of the additional carbon to the land carbon cycle. The contributors describe a set of new approaches to land carbon cycle modeling for better exploring ecological questions regarding changes in carbon cycling; employing data assimilation techniques for model improvement; and doing real- or near-time ecological forecasting for decision support. This book strives to balance theoretical considerations, technical details, and applications of ecosystem modeling for research, assessment, and crucial decision making.
Key Features
- Helps readers understand, implement, and criticize land carbon cycle models
- Offers a new theoretical framework to understand transient dynamics of land carbon cycle
- Describes a suite of modeling skills – matrix approach to represent land carbon, nitrogen, and phosphorus cycles; data assimilation and machine learning to improve parameterization; and workflow systems to facilitate ecological forecasting
- Introduces a new set of techniques, such as semi-analytic spin-up (SASU), unified diagnostic system with a 1-3-5 scheme, traceability analysis, and benchmark analysis, for model evaluation and improvement
Related Titles
Isabel Ferrera, ed. Climate Change and the Oceanic Carbon Cycle: Variables and Consequences
(ISBN 978-1-774-63669-5)
Lal, R. et al., eds. Soil Processes and the Carbon Cycle (ISBN 978-0-8493-7441-8)
Windham-Myers, L., et al., eds. A Blue Carbon Primer: The State of Coastal Wetland Carbon
Science, Practice and Policy (ISBN 978-0-367-89352-1)
TABLE OF CONTENTS
part Unit One|34 pages
Fundamentals of Carbon Cycle Modeling
part Unit Two|35 pages
Matrix Representation of Carbon Balance
part Unit Three|29 pages
Carbon Cycle Diagnostics for Uncertainty Analysis
part Unit Four|35 pages
Semi-Analytic Spin-Up (SASU)
chapter Sixteen|7 pages
Practice 4
part Unit Five|34 pages
Traceability and Benchmark Analysis
chapter Twenty|8 pages
Practice 5
part Unit Six|36 pages
Introduction to Data Assimilation
chapter Twenty-Two|7 pages
Bayesian Statistics and Markov Chain Monte Carlo Method in Data Assimilation
part Unit Seven|35 pages
Data Assimilation with Field Measurements and Satellite Data
chapter Twenty-Seven|11 pages
Global Carbon Cycle Data Assimilation Using Earth Observation
part Unit Eight|41 pages
Value of Data to Constrain Models and Their Predictions
chapter Twenty-Nine|9 pages
Information Contents of Different Types of Data Sets to Constrain Parameters and Predictions
chapter Thirty|8 pages
Using Data Assimilation to Identify Mechanisms Controlling Lake Carbon Dynamics
chapter Thirty-Two|11 pages
Practice 8
part Unit Nine|22 pages
Ecological Forecasting with EcoPAD
chapter Thirty-Four|8 pages
Ecological Platform for Assimilating Data (EcoPAD) for Ecological Forecasting
part Unit Ten|30 pages
Process-based Machine Learning and Data-driven Modeling (PRODA)