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Effects of data uncertainties on estimated soil organic carbon in the Sudan

Poussart, Jean-Nicolas LU ; Ardö, Jonas LU and Olsson, Lennart LU (2004) In Environmental Management 33. p.405-415
Abstract
Estimating the rate of soil carbon sequestration in degraded semiarid agroecosystems is of great interest due to the beneficial effects on soil properties, soil fertility, and the potential atmospheric CO2 mitigation. One of several applied methodologies, biogeochemical modeling, offers possibilities to distribute estimates of soil organic carbon (SOC) over regions, estimate the effects of changes in climate and ecosystem management on SOC, and quantify changes of soil properties over time or space. In this study, the sensitivity of the Century model was assessed in regards to uncertainties for soil texture, natural fire return periods, grazing intensities, and climate. The study area was situated in central Sudan and dominated by... (More)
Estimating the rate of soil carbon sequestration in degraded semiarid agroecosystems is of great interest due to the beneficial effects on soil properties, soil fertility, and the potential atmospheric CO2 mitigation. One of several applied methodologies, biogeochemical modeling, offers possibilities to distribute estimates of soil organic carbon (SOC) over regions, estimate the effects of changes in climate and ecosystem management on SOC, and quantify changes of soil properties over time or space. In this study, the sensitivity of the Century model was assessed in regards to uncertainties for soil texture, natural fire return periods, grazing intensities, and climate. The study area was situated in central Sudan and dominated by subsistence agroecosystems. Uncertainties in the modeling of historical SOC levels, prior to known human interactions, can be reflected in the estimation of the current or future SOC levels, as some soil processes take many years to occur. The relationship between these differences in historical and current SOC levels was calculated. Soil texture, derived from a number of different sources, had the greatest impact on modeled SOC. Overall, data uncertainties for the five parameters tested resulted in SOC variations of up to 160 g C/m(2) (1.6 t C/ha) for the estimation of the current level (year 2002), which corresponds to a difference of approximately 80% of the average current level. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
century, modeling, semiarid, soil organic carbon, sequestration, uncertainties, Sudan
in
Environmental Management
volume
33
pages
405 - 415
publisher
Springer
external identifiers
  • wos:000203094700036
  • scopus:27544466383
ISSN
0364-152X
DOI
10.1007/s00267-003-9148-8
language
English
LU publication?
yes
id
7acaf716-a33e-4d82-a8d3-57d9d9530f36 (old id 1406571)
date added to LUP
2009-06-04 15:46:41
date last changed
2017-01-01 04:34:21
@article{7acaf716-a33e-4d82-a8d3-57d9d9530f36,
  abstract     = {Estimating the rate of soil carbon sequestration in degraded semiarid agroecosystems is of great interest due to the beneficial effects on soil properties, soil fertility, and the potential atmospheric CO2 mitigation. One of several applied methodologies, biogeochemical modeling, offers possibilities to distribute estimates of soil organic carbon (SOC) over regions, estimate the effects of changes in climate and ecosystem management on SOC, and quantify changes of soil properties over time or space. In this study, the sensitivity of the Century model was assessed in regards to uncertainties for soil texture, natural fire return periods, grazing intensities, and climate. The study area was situated in central Sudan and dominated by subsistence agroecosystems. Uncertainties in the modeling of historical SOC levels, prior to known human interactions, can be reflected in the estimation of the current or future SOC levels, as some soil processes take many years to occur. The relationship between these differences in historical and current SOC levels was calculated. Soil texture, derived from a number of different sources, had the greatest impact on modeled SOC. Overall, data uncertainties for the five parameters tested resulted in SOC variations of up to 160 g C/m(2) (1.6 t C/ha) for the estimation of the current level (year 2002), which corresponds to a difference of approximately 80% of the average current level.},
  author       = {Poussart, Jean-Nicolas and Ardö, Jonas and Olsson, Lennart},
  issn         = {0364-152X},
  keyword      = {century,modeling,semiarid,soil organic carbon,sequestration,uncertainties,Sudan},
  language     = {eng},
  pages        = {405--415},
  publisher    = {Springer},
  series       = {Environmental Management},
  title        = {Effects of data uncertainties on estimated soil organic carbon in the Sudan},
  url          = {http://dx.doi.org/10.1007/s00267-003-9148-8},
  volume       = {33},
  year         = {2004},
}