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A Model for Simulating the Soil Organic Carbon Pool of Steppe Ecosystems

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A Model for Simulating the Soil Organic Carbon Pool of Steppe Ecosystems. / Li , Guoqing; Li Xiaobing; Zhou Tao; Wang Hong; Li Ruihua; Wang Han; Wei Dandan.

In: ENVIRONMENTAL MODELING & ASSESSMENT, Vol. 21, No. 3, 06.2016, p. 339-355.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Li , G, Li Xiaobing, Zhou Tao, Wang Hong, Li Ruihua, Wang Han & Wei Dandan 2016, 'A Model for Simulating the Soil Organic Carbon Pool of Steppe Ecosystems', ENVIRONMENTAL MODELING & ASSESSMENT, vol. 21, no. 3, pp. 339-355. https://doi.org/10.1007/s10666-015-9488-9

APA

Li , G., Li Xiaobing, Zhou Tao, Wang Hong, Li Ruihua, Wang Han, & Wei Dandan (2016). A Model for Simulating the Soil Organic Carbon Pool of Steppe Ecosystems. ENVIRONMENTAL MODELING & ASSESSMENT, 21(3), 339-355. https://doi.org/10.1007/s10666-015-9488-9

Vancouver

Li G, Li Xiaobing, Zhou Tao, Wang Hong, Li Ruihua, Wang Han et al. A Model for Simulating the Soil Organic Carbon Pool of Steppe Ecosystems. ENVIRONMENTAL MODELING & ASSESSMENT. 2016 Jun;21(3):339-355. https://doi.org/10.1007/s10666-015-9488-9

Author

Li , Guoqing ; Li Xiaobing ; Zhou Tao ; Wang Hong ; Li Ruihua ; Wang Han ; Wei Dandan. / A Model for Simulating the Soil Organic Carbon Pool of Steppe Ecosystems. In: ENVIRONMENTAL MODELING & ASSESSMENT. 2016 ; Vol. 21, No. 3. pp. 339-355.

Bibtex

@article{6a9e93f30f614616a7f29a457cff42f9,
title = "A Model for Simulating the Soil Organic Carbon Pool of Steppe Ecosystems",
abstract = "In this research, the improved Terrestrial Ecosystem Regional (TECO-R) model was adapted to steppe ecosystems and then utilized to simulate the soil organic carbon pool in the period from 1989 to 2011 (excluding 1994, 2002, 2009, and 2010) for a typical steppe in Xilingol League of Inner Mongolia in China. The improved TECO-R model is an ecological model in combination of remote sensing data, which allows the spatial scale for the analysis of soil organic carbon which is not limited to vegetation or soil type. The spatial and temporal resolution advantages of remote sensing image can be well utilized in this model. The results indicate that in addition to an accurate simulation of the soil carbon pool of a steppe ecosystem, the vegetation aboveground carbon pool, grazing intensity of herbivores, mowing coefficient, litter carbon pool, root carbon pools of different vegetation layers, root-shoot ratio, actual residence time of different carbon pools, and allocation coefficients of different carbon pools in corresponding years are also available from the TECO-R model. Some of the above data are difficult to obtain through macro-observation but can be simulated with the TECO-R model by combining the model with input data; this is very important for a correct understanding of the feedback relationships between the steppe ecosystem{\textquoteright}s carbon cycle and climate change (e.g., global warming) and human activities such as grazing.",
keywords = "Steppe ecosystem, TECO-R model, Soil organic carbon, Carbon residence time, Carbon pool",
author = "Guoqing Li and {Li Xiaobing} and {Zhou Tao} and {Wang Hong} and {Li Ruihua} and {Wang Han} and {Wei Dandan}",
year = "2016",
month = jun,
doi = "10.1007/s10666-015-9488-9",
language = "English",
volume = "21",
pages = "339--355",
journal = "ENVIRONMENTAL MODELING & ASSESSMENT",
issn = "1420-2026",
publisher = "Springer Netherlands",
number = "3",

}

RIS

TY - JOUR

T1 - A Model for Simulating the Soil Organic Carbon Pool of Steppe Ecosystems

AU - Li , Guoqing

AU - Li Xiaobing,

AU - Zhou Tao,

AU - Wang Hong,

AU - Li Ruihua,

AU - Wang Han,

AU - Wei Dandan,

PY - 2016/6

Y1 - 2016/6

N2 - In this research, the improved Terrestrial Ecosystem Regional (TECO-R) model was adapted to steppe ecosystems and then utilized to simulate the soil organic carbon pool in the period from 1989 to 2011 (excluding 1994, 2002, 2009, and 2010) for a typical steppe in Xilingol League of Inner Mongolia in China. The improved TECO-R model is an ecological model in combination of remote sensing data, which allows the spatial scale for the analysis of soil organic carbon which is not limited to vegetation or soil type. The spatial and temporal resolution advantages of remote sensing image can be well utilized in this model. The results indicate that in addition to an accurate simulation of the soil carbon pool of a steppe ecosystem, the vegetation aboveground carbon pool, grazing intensity of herbivores, mowing coefficient, litter carbon pool, root carbon pools of different vegetation layers, root-shoot ratio, actual residence time of different carbon pools, and allocation coefficients of different carbon pools in corresponding years are also available from the TECO-R model. Some of the above data are difficult to obtain through macro-observation but can be simulated with the TECO-R model by combining the model with input data; this is very important for a correct understanding of the feedback relationships between the steppe ecosystem’s carbon cycle and climate change (e.g., global warming) and human activities such as grazing.

AB - In this research, the improved Terrestrial Ecosystem Regional (TECO-R) model was adapted to steppe ecosystems and then utilized to simulate the soil organic carbon pool in the period from 1989 to 2011 (excluding 1994, 2002, 2009, and 2010) for a typical steppe in Xilingol League of Inner Mongolia in China. The improved TECO-R model is an ecological model in combination of remote sensing data, which allows the spatial scale for the analysis of soil organic carbon which is not limited to vegetation or soil type. The spatial and temporal resolution advantages of remote sensing image can be well utilized in this model. The results indicate that in addition to an accurate simulation of the soil carbon pool of a steppe ecosystem, the vegetation aboveground carbon pool, grazing intensity of herbivores, mowing coefficient, litter carbon pool, root carbon pools of different vegetation layers, root-shoot ratio, actual residence time of different carbon pools, and allocation coefficients of different carbon pools in corresponding years are also available from the TECO-R model. Some of the above data are difficult to obtain through macro-observation but can be simulated with the TECO-R model by combining the model with input data; this is very important for a correct understanding of the feedback relationships between the steppe ecosystem’s carbon cycle and climate change (e.g., global warming) and human activities such as grazing.

KW - Steppe ecosystem

KW - TECO-R model

KW - Soil organic carbon

KW - Carbon residence time

KW - Carbon pool

U2 - 10.1007/s10666-015-9488-9

DO - 10.1007/s10666-015-9488-9

M3 - Journal article

VL - 21

SP - 339

EP - 355

JO - ENVIRONMENTAL MODELING & ASSESSMENT

JF - ENVIRONMENTAL MODELING & ASSESSMENT

SN - 1420-2026

IS - 3

ER -