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  Modeling vegetation and carbon dynamics of managed grasslands at the global scale with LPJmL 3.6

Rolinski, S., Müller, C., Heinke, J., Weindl, I., Biewald, A., Bodirsky, B. L., Bondeau, A., Boons-Prins, E. R., Bouwman, A. F., Leffelaar, P. A., te Roller, J. A., Schaphoff, S., Thonicke, K. (2018): Modeling vegetation and carbon dynamics of managed grasslands at the global scale with LPJmL 3.6. - Geoscientific Model Development, 11, 1, 429-451.
https://doi.org/10.5194/gmd-11-429-2018

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 Creators:
Rolinski, Susanne1, Author              
Müller, Christoph1, Author              
Heinke, Jens1, Author              
Weindl, Isabelle1, Author              
Biewald, Anne1, Author              
Bodirsky, Benjamin Leon1, Author              
Bondeau, A.2, Author
Boons-Prins, E. R.2, Author
Bouwman, A. F.2, Author
Leffelaar, P. A.2, Author
te Roller, J. A.2, Author
Schaphoff, Sibyll1, Author              
Thonicke, Kirsten1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: Grassland management affects the carbon fluxes of one-third of the global land area and is thus an important factor for the global carbon budget. Nonetheless, this aspect has been largely neglected or underrepresented in global carbon cycle models. We investigate four harvesting schemes for the managed grassland implementation of the dynamic global vegetation model (DGVM) Lund–Potsdam–Jena managed Land (LPJmL) that facilitate a better representation of actual management systems globally. We describe the model implementation and analyze simulation results with respect to harvest, net primary productivity and soil carbon content and by evaluating them against reported grass yields in Europe. We demonstrate the importance of accounting for differences in grassland management by assessing potential livestock grazing densities as well as the impacts of grazing, grazing intensities and mowing systems on soil carbon stocks. Grazing leads to soil carbon losses in polar or arid regions even at moderate livestock densities (<  0.4 livestock units per hectare – LSU ha−1) but not in temperate regions even at much higher densities (0.4 to 1.2 LSU ha−1). Applying LPJmL with the new grassland management options enables assessments of the global grassland production and its impact on the terrestrial biogeochemical cycles but requires a global data set on current grassland management.

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 Dates: 2018
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.5194/gmd-11-429-2018
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
PIKDOMAIN: Earth System Analysis - Research Domain I
eDoc: 7916
Research topic keyword: Food & Agriculture
Research topic keyword: Land use
Research topic keyword: Ecosystems
Model / method: LPJmL
Regional keyword: Global
Organisational keyword: RD2 - Climate Resilience
Organisational keyword: RD1 - Earth System Analysis
Working Group: Earth System Model Development
Working Group: Ecosystems in Transition
Working Group: Terrestrial Safe Operating Space
Working Group: Land Use and Resilience
 Degree: -

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Title: Geoscientific Model Development
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 11 (1) Sequence Number: - Start / End Page: 429 - 451 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals185