use of a process-based model for assessing the methane budgets of global terrestrial ecosystems and evaluation of uncertainty

use of a process-based model for assessing the methane budgets of global terrestrial ecosystems and evaluation of uncertainty

;A. Ito;M. Inatomi
tetrahedron letters 2012 Vol. 9 pp. 759-773
208
ito2012biogeosciencesuse

Abstract

We assessed the global terrestrial budget of methane (CH<sub>4</sub>) by using a process-based biogeochemical model (VISIT) and inventory data for components of the budget that were not included in the model. Emissions from wetlands, paddy fields, biomass burning, and plants, as well as oxidative consumption by upland soils, were simulated by the model. Emissions from ruminant livestock and termites were evaluated by using an inventory approach. These CH<sub>4</sub> flows were estimated for each of the model's 0.5&deg; &times; 0.5&deg; grid cells from 1901 to 2009, while accounting for atmospheric composition, meteorological factors, and land-use changes. Estimation uncertainties were examined through ensemble simulations using different parameterization schemes and input data (e.g., different wetland maps and emission factors). From 1996 to 2005, the average global terrestrial CH<sub>4</sub> budget was estimated on the basis of 1152 simulations, and terrestrial ecosystems were found to be a net source of 308.3 &plusmn; 20.7 Tg CH<sub>4</sub> yr<sup>−1</sup>. Wetland and livestock ruminant emissions were the primary sources. The results of our simulations indicate that sources and sinks are distributed highly heterogeneously over the Earth's land surface. Seasonal and interannual variability in the terrestrial budget was also assessed. The trend of increasing net emission from terrestrial sources and its relationship with temperature variability imply that terrestrial CH<sub>4</sub> feedbacks will play an increasingly important role as a result of future climatic change.

Citation

ID: 153177
Ref Key: ito2012biogeosciencesuse
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
153177
Unique Identifier:
10.5194/bg-9-759-2012
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet