Abstract
The land carbon cycle has been extensively studied yet its fundamental properties have not been fully understood. This chapter offers empirical evidence to demonstrate a general dynamic pattern that the land carbon cycle changes in a direction toward a moving attractor in response to global change. This general pattern is captured by a matrix equation. The relatively simple matrix equation can unify land carbon cycle models, accelerate computational efficiency for spin-up, diagnose model performance with new analytics, enable data assimilation with complex models to improve their predictive skills, and guide carbon cycle research with a new theoretical framework of dynamic disequilibrium.
Original language | English (US) |
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Title of host publication | Land Carbon Cycle Modeling |
Subtitle of host publication | Matrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning, Second Edition |
Publisher | CRC Press |
Pages | 3-10 |
Number of pages | 8 |
ISBN (Electronic) | 9781040026298 |
ISBN (Print) | 9781032698496 |
DOIs | |
State | Published - Jan 1 2024 |
Externally published | Yes |
ASJC Scopus subject areas
- General Business, Management and Accounting
- General Agricultural and Biological Sciences
- General Earth and Planetary Sciences
- General Environmental Science
- General Engineering