Rtuffli: SIGNAL republish article metadata from draft 679

2026-06-26T14:47:14Z

SIGNAL republish article metadata from draft 679

← Older revision		Revision as of 14:47, 26 June 2026
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	<!-- SIGNAL_EARTH_PEOPLE_START -->		<!-- SIGNAL_EARTH_PEOPLE_START -->
	== Key Associated People ==		== Key Associated People ==
	* '''X. Liu''' (-) [~~Lead~~ author]		* '''Coeli M. Hoover''' — U.S. Forest Service Research and Development [Source author; High]
			* '''James E. Smith''' — U.S. Forest Service Research and Development [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.
	<!-- SIGNAL_EARTH_PEOPLE_END -->		<!-- SIGNAL_EARTH_PEOPLE_END -->

	<!-- SIGNAL_EARTH_SOURCES_START -->		<!-- SIGNAL_EARTH_SOURCES_START -->
	== Sources ==		== Sources ==
	* [https://essd.copernicus.org/articles/18/1203/2026/ The newly developed Multi-ensemble Biomass-burning Emissions Inventory (MBEI): characterizing and unraveling spatiotemporal uncertainty in global biomass burning emissions — 2026]		* [https://essd.copernicus.org/articles/18/1203/2026/ The newly developed Multi-ensemble Biomass-burning Emissions Inventory (MBEI): characterizing and unraveling spatiotemporal uncertainty in global biomass burning emissions] — 2026. [Dataset; Anchor; High]
			* [https://doi.org/10.1186/s13021-024-00274-0 Application of the wildland fire emissions inventory system to estimate fire emissions on forest lands of the United States] — Carbon Balance and Management, 2024. [Paper; Supporting; High]
			* [https://doi.org/10.3390/f16081205 Wildland and Forest Fire Emissions on Federally Managed Land in the United States, 2001–2021] — Forests, 2025. [Paper; Supporting; High]
			* [https://doi.org/10.1016/j.foreco.2013.12.014 Wildland fire emissions, carbon, and climate: Science overview and knowledge needs] — Forest Ecology and Management, 2014. [Paper; Supporting; High]
	<!-- SIGNAL_EARTH_SOURCES_END -->		<!-- SIGNAL_EARTH_SOURCES_END -->

Rtuffli: SIGNAL publish from draft v679

2026-06-03T14:41:12Z

SIGNAL publish from draft v679

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{| class="wikitable" style="float:right; clear:right; margin:0 0 1em 1em; width:320px;"
|+ SIGNAL Earth Structured Data
|-
! Object type
| Damage Signal
|-
! SIGNAL Earth ID
| DS-00875
|-
! Observable type
| —
|-
! Unit
| —
|-
! Temporal structure
| —
|-
! Monitoring backbone
| —
|}


{{SignalTerm|type=DS|id=DS-00875|label=Agriculture — Forest fires Emissions}} represent the carbon dioxide (CO2) released into the atmosphere as a result of biomass burning associated with agricultural practices and forest fires. These emissions contribute to atmospheric greenhouse gas concentrations, influencing global climate dynamics and air quality. Understanding and quantifying these emissions are essential for assessing land use impacts on the carbon cycle and evaluating mitigation strategies.

This phenomenon encompasses CO2 emissions generated from the combustion of vegetation and organic matter in agricultural landscapes and forested areas, often linked to land clearing, crop residue burning, or accidental and intentional fires. Due to their variable spatial and temporal occurrence, these emissions present challenges for consistent monitoring and estimation.

Within the broader context of environmental monitoring, Agriculture — Forest fires Emissions are a key component of land use change emissions and are integrated into global carbon accounting frameworks. Their assessment supports scientific understanding of anthropogenic influences on atmospheric composition and climate forcing.

== Geographic / System Context ==
Agriculture — Forest fires Emissions occur globally, without restriction to a specific geographic region. They are associated with diverse ecosystems where agricultural activities intersect with forested landscapes. Regions with extensive agricultural land management, shifting cultivation, or fire-prone forests contribute variably to these emissions. The spatial distribution reflects patterns of land use, climatic conditions conducive to fire, and human management practices. This signal is not limited to a particular geographic unit but represents a global environmental phenomenon linked to land use and biomass burning.

== Monitoring and Measurement ==
Monitoring of Agriculture — Forest fires Emissions relies on a combination of satellite remote sensing, ground-based observations, and emission inventory modeling. Satellite instruments detect fire occurrences, burned area extent, and fire radiative power, which serve as proxies for biomass combustion. Emission factors and fuel load estimates are applied to convert fire activity data into CO2 emission estimates. Institutions such as [https://en.wikipedia.org/wiki/National_Aeronautics_and_Space_Administration NASA] and [https://en.wikipedia.org/wiki/European_Space_Agency ESA] contribute satellite data, while scientific research integrates these observations into inventories like the Multi-ensemble Biomass-burning Emissions Inventory (MBEI). This multi-source approach addresses uncertainties in spatiotemporal emission patterns.

Within the SIGNAL system, Agriculture — Forest fires Emissions are treated as a defined environmental signal whose boundaries and measurement conventions are described below.

== Signal Definition ==
Agriculture — Forest fires Emissions quantify the amount of carbon dioxide released from the combustion of biomass in agricultural and forest fire contexts. This includes emissions resulting from the burning of crop residues, deforestation fires, and other biomass burning activities directly linked to agricultural land use. The signal measures CO2 emissions attributable to these processes, reflecting their contribution to atmospheric greenhouse gases from land use change and fire events.

== Boundary Conditions ==
Boundary inclusions encompass CO2 emissions from biomass combustion associated with agricultural practices and forest fires, including crop residue burning, land clearing fires, and managed or accidental fires within agricultural landscapes. Boundary exclusions are emissions from natural wildfires unrelated to agricultural activity, fossil fuel combustion, and non-CO2 greenhouse gases such as methane or nitrous oxide. Emissions from prescribed burns outside agricultural or forest land use contexts are also excluded.

== Aggregation Semantics ==
Geographic aggregation of this signal is global and not confined to specific spatial units, allowing integration across diverse land use regions. Temporal aggregation typically follows annual or seasonal intervals to capture fire activity cycles and agricultural calendars. Cross-signal aggregation involves combining these emissions with other land use and biomass burning signals, such as burned area estimates, to provide comprehensive assessments of fire-related emissions. Aggregation notes emphasize the importance of harmonizing spatial and temporal scales to reduce uncertainties and support consistent reporting.

== Observational Status ==
Current monitoring of Agriculture — Forest fires Emissions benefits from advances in satellite remote sensing and emission inventory modeling, exemplified by efforts like the Multi-ensemble Biomass-burning Emissions Inventory (MBEI). Data integration continues to improve spatiotemporal resolution and uncertainty characterization. Future SIGNAL releases may incorporate enhanced observational datasets, refined emission factors, and improved linkage with related land use signals to support more accurate and timely assessments of fire-related CO2 emissions in agricultural contexts.

== Related Signals ==
* Burned area (anthropogenic; annual estimate; declared boundary)


== Key Associated People ==
* '''X. Liu''' (-) [Lead author]



== Sources ==
* [https://essd.copernicus.org/articles/18/1203/2026/ The newly developed Multi-ensemble Biomass-burning Emissions Inventory (MBEI): characterizing and unraveling spatiotemporal uncertainty in global biomass burning emissions — 2026]

Agriculture — Forest fires Emissions - Revision history

Rtuffli: SIGNAL republish article metadata from draft 679

Rtuffli: SIGNAL publish from draft v679