Global annual CO2 flux from forest regrowth under land-use change accounting
| Object type | Damage Signal |
|---|---|
| SIGNAL Earth ID | DS-00694 |
| Observable type | CO2 emissions mass flux (generic) |
| Unit | PgC/year (tCO2/year) |
| Temporal structure | Annual |
| Monitoring backbone | — |
The
Global annual CO2 flux from forest regrowth under land-use change accounting represents the net carbon dioxide emissions or uptake associated with forest regrowth following changes in land use. This flux is a key component in understanding the terrestrial carbon cycle and its interaction with human activities such as deforestation, afforestation, and land management. Forest regrowth can act as a carbon sink by absorbing CO2 from the atmosphere, partially offsetting emissions from land-use change elsewhere.
Quantifying this flux is critical for assessing the role of terrestrial ecosystems in the global carbon budget and for informing climate change assessments. It reflects the balance between carbon sequestration during forest regrowth and carbon emissions from prior land-use disturbances. The magnitude and spatial distribution of this flux vary depending on regional land-use histories, forest types, and management practices.
This signal provides an integrated measure of the net annual CO2 mass flux associated with forest regrowth on a global scale, expressed in metric tons of CO2 per year. It contributes to understanding how land-use dynamics influence atmospheric CO2 concentrations and climate feedbacks.
Geographic / System Context
[edit]The signal encompasses terrestrial ecosystems worldwide where forest regrowth occurs following land-use changes. These regions include areas previously cleared for agriculture, logging, or other land uses that have since undergone natural or managed reforestation. The geographic scope is global, covering diverse forest biomes such as tropical, temperate, and boreal forests. Variations in climate, soil, and ecological conditions influence regrowth rates and carbon uptake across different regions. Understanding this flux requires integrating data across continents and biomes to capture the heterogeneous nature of forest regrowth dynamics.
Monitoring and Measurement
[edit]Monitoring the global CO2 flux from forest regrowth involves combining remote sensing observations, forest inventory data, and ecosystem modeling. Satellite imagery provides information on forest cover changes and biomass accumulation over time. Ground-based forest inventories contribute measurements of tree growth, species composition, and carbon stocks. Process-based carbon cycle models simulate regrowth dynamics and carbon fluxes by integrating climatic, ecological, and land-use data. These methods are synthesized to estimate net CO2 emissions or uptake annually. Scientific institutions and research programs focusing on land-use change and carbon cycling develop and refine these approaches to improve accuracy and temporal resolution.
Within the SIGNAL system, this phenomenon is treated as a defined environmental signal whose boundaries and measurement conventions are described below.
Signal Definition
[edit]This signal quantifies the net annual mass flux of carbon dioxide in metric tons (tCO2/year) resulting from forest regrowth following land-use change. It represents the balance between carbon sequestered by growing forests and any residual emissions associated with land-use transitions. The measurement captures terrestrial CO2 fluxes globally on an annual temporal scale, reflecting the net effect of regrowth processes on atmospheric CO2 concentrations.
Boundary Conditions
[edit]Boundary inclusions encompass all terrestrial CO2 fluxes attributable to forest regrowth after land-use changes, including natural regeneration and managed reforestation efforts. The signal includes carbon uptake by biomass accumulation and soil carbon changes where attributable to regrowth. Boundary exclusions comprise CO2 fluxes from land uses not related to forest regrowth, such as agricultural emissions, urbanization, or deforestation without subsequent regrowth. Emissions or uptake from non-forest vegetation types and other terrestrial carbon fluxes unrelated to land-use change are also excluded.
Aggregation Semantics
[edit]Geographically, the signal aggregates CO2 flux data from local and regional scales to produce a global annual estimate, integrating diverse forest regrowth areas worldwide. Temporally, the signal is aggregated on an annual basis to capture year-to-year variations in regrowth dynamics and carbon uptake. Cross-signal aggregation involves combining this signal with other land-use and carbon flux signals to form comprehensive assessments of terrestrial carbon budgets and land-use impacts. Aggregation methodologies ensure consistent spatial and temporal integration to support global carbon cycle analyses.
Observational Status
[edit]Currently, the monitoring of this signal relies on a combination of satellite remote sensing, forest inventories, and carbon cycle modeling, with ongoing efforts to improve data resolution and model accuracy. Data gaps and uncertainties remain due to variability in regrowth rates, land-use histories, and ecological processes. Future SIGNAL releases may incorporate enhanced datasets, refined modeling approaches, and improved integration with other terrestrial carbon flux signals to provide more precise and comprehensive assessments of global forest regrowth CO2 fluxes.
Related Signals
[edit]- None specified
Key Associated People
[edit]- R. A. Houghton (Woodwell Climate Research Center) [Lead author]