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Integrating remotely sensed land cover observations and a biogeochemical model for estimating forest ecosystem carbon dynamics

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  • Liu, Jinxun
  • Liu, Shuguang
  • Loveland, Thomas R.
  • Tieszen, Larry L.

Abstract

Land cover change is one of the key driving forces for ecosystem carbon (C) dynamics. We present an approach for using sequential remotely sensed land cover observations and a biogeochemical model to estimate contemporary and future ecosystem carbon trends. We applied the General Ensemble Biogeochemical Modelling System (GEMS) for the Laurentian Plains and Hills ecoregion in the northeastern United States for the period of 1975–2025. The land cover changes, especially forest stand-replacing events, were detected on 30 randomly located 10-km by 10-km sample blocks, and were assimilated by GEMS for biogeochemical simulations. In GEMS, each unique combination of major controlling variables (including land cover change history) forms a geo-referenced simulation unit. For a forest simulation unit, a Monte Carlo process is used to determine forest type, forest age, forest biomass, and soil C, based on the Forest Inventory and Analysis (FIA) data and the U.S. General Soil Map (STATSGO) data. Ensemble simulations are performed for each simulation unit to incorporate input data uncertainty. Results show that on average forests of the Laurentian Plains and Hills ecoregion have been sequestrating 4.2Tg C (1teragram=1012gram) per year, including 1.9Tg C removed from the ecosystem as the consequences of land cover change.

Suggested Citation

  • Liu, Jinxun & Liu, Shuguang & Loveland, Thomas R. & Tieszen, Larry L., 2008. "Integrating remotely sensed land cover observations and a biogeochemical model for estimating forest ecosystem carbon dynamics," Ecological Modelling, Elsevier, vol. 219(3), pages 361-372.
    • Handle: RePEc:eee:ecomod:v:219:y:2008:i:3:p:361-372
    DOI: 10.1016/j.ecolmodel.2008.04.019
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    Cited by:

    1. Chen, Kunlun & Wang, Xu & Li, Dan & Li, Zhaohua, 2015. "Driving force of the morphological change of the urban lake ecosystem: A case study of Wuhan, 1990–2013," Ecological Modelling, Elsevier, vol. 318(C), pages 204-209.
    2. Liu, Jinxun & Sleeter, Benjiamin & Selmants, Paul C. & Diao, Jiaojiao & Zhou, Qiang & Worstell, Bruce & Moritsch, Monica, 2021. "Modeling watershed carbon dynamics as affected by land cover change and soil erosion," Ecological Modelling, Elsevier, vol. 459(C).

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