Agriculture — Fires in humid tropical forests Emissions
| Object type | Damage Signal |
|---|---|
| SIGNAL Earth ID | DS-00868 |
| Observable type | — |
| Unit | — |
| Temporal structure | — |
| Monitoring backbone | — |
Agriculture — Fires in humid tropical forests Emissions represent carbon dioxide (CO2) released into the atmosphere as a result of biomass burning associated with agricultural activities within humid tropical forest regions. These fires are often used to clear land for cultivation or pasture, contributing to changes in land use and affecting regional and global carbon cycles. The emissions from such fires are a significant component of land use-related greenhouse gas sources and have implications for climate change and ecosystem dynamics.
Humid tropical forests, characterized by high rainfall and dense vegetation, are sensitive ecosystems where fire is not a natural disturbance but rather an anthropogenic phenomenon linked to agricultural expansion. The emissions from these fires include CO2 and other trace gases, which can influence atmospheric composition and air quality. Understanding and quantifying these emissions is essential for accurate greenhouse gas inventories and for assessing the environmental impacts of land management practices.
Within the broader context of environmental monitoring, emissions from agricultural fires in humid tropical forests are monitored to track their spatial and temporal variability. These emissions are part of the global biomass burning emissions assessments and contribute to the understanding of human-induced changes in the carbon cycle.
Geographic / System Context
[edit]Humid tropical forests are predominantly located near the equator, spanning regions in South America, Central Africa, Southeast Asia, and parts of Oceania. These forests experience high annual precipitation and support rich biodiversity. Agricultural activities in these regions often involve clearing forested land through fire to prepare fields for crops or grazing. The geographic context of these emissions is thus tied to areas where humid tropical forest ecosystems intersect with expanding agricultural frontiers. Although the signal is not geography-scoped within the SIGNAL framework, the typical environmental system involves tropical forest landscapes undergoing land use change driven by human agricultural practices.
Monitoring and Measurement
[edit]Monitoring of emissions from agricultural fires in humid tropical forests relies on a combination of remote sensing, atmospheric measurements, and emission modeling. Satellite observations provide data on burned area extent and fire activity, while atmospheric measurements capture concentrations of CO2 and other trace gases. Emission inventories, such as the Multi-ensemble Biomass-burning Emissions Inventory (MBEI), integrate multiple data sources to estimate spatiotemporal patterns of biomass burning emissions globally. These inventories characterize uncertainties and variability in emissions, supporting improved quantification of fire-related CO2 fluxes associated with agricultural land use in tropical forest regions.
Within the SIGNAL system, this phenomenon is treated as a defined environmental signal whose boundaries and measurement conventions are described below.
Signal Definition
[edit]The signal quantifies carbon dioxide emissions resulting from biomass burning linked to agricultural fires within humid tropical forest environments. It specifically measures CO2 released during the combustion of vegetation and organic matter when forests are cleared or managed through fire for agricultural purposes. This includes emissions from both intentional land clearing and maintenance fires associated with agricultural use in humid tropical forest biomes.
Boundary Conditions
[edit]Boundary inclusions for this signal encompass all CO2 emissions from fires directly associated with agricultural activities in humid tropical forests, including land clearing and field maintenance fires. The humid tropical forest biome is defined by climatic and ecological criteria characterized by high humidity and dense forest cover. Boundary exclusions include emissions from natural wildfires not linked to agriculture, fires in non-humid tropical forest ecosystems, and biomass burning related to other land uses such as savanna or grassland fires. Emissions from post-fire decomposition or other non-combustion related carbon fluxes are also excluded.
Aggregation Semantics
[edit]Geographically, aggregation of this signal involves summarizing emissions across the spatial extent of humid tropical forests where agricultural fires occur, recognizing that the signal is not strictly geography-scoped but conceptually tied to tropical forest regions. Temporally, aggregation can be performed on annual or seasonal scales to capture variability in fire activity and emissions. Cross-signal aggregation may involve integrating these emissions with related signals such as burned area estimates and other land use change emissions to provide comprehensive assessments of biomass burning impacts. Aggregation notes emphasize the importance of consistent biome classification and fire attribution to agricultural activities for accurate signal synthesis.
Observational Status
[edit]Current monitoring efforts provide annual estimates of CO2 emissions from agricultural fires in humid tropical forests, supported by multi-source emission inventories like the MBEI. These datasets help characterize spatial and temporal uncertainty in emissions, although challenges remain in precisely attributing fires to agricultural causes and in capturing small-scale or transient fire events. Future SIGNAL releases may incorporate refined temporal resolution, improved biome delineations, and enhanced integration with related environmental signals to better represent the dynamics of agricultural fire emissions in tropical forest regions.
Related Signals
[edit]- Burned area (anthropogenic; annual estimate; declared boundary)
Key Associated People
[edit]- Kieran Withey — Lancaster University [Source author; High]
- X. Liu — - [Source author; High]
Inclusion reflects material contribution to the scientific understanding of this damage signal; it does not imply review, endorsement, or affiliation with SIGNAL Earth.
Sources
[edit]- The newly developed Multi-ensemble Biomass-burning Emissions Inventory (MBEI): characterizing and unraveling spatiotemporal uncertainty in global biomass burning emissions — 2026. [Dataset; Anchor; High]
- Global Fire Emissions Database, Version 4.1 (GFEDv4) — NASA Open Data Portal, 2018. DOI: 10.5067/VEGETATION/GFED4.1/1.0. [Dataset; Supporting; High]
- Quantifying immediate carbon emissions from El Niño-mediated wildfires in humid tropical forests — Philosophical Transactions of the Royal Society B: Biological Sciences, 2018. [Paper; Supporting; High]