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

Susanne Rolinski, Christoph Müller, Jens Heinke, Isabelle Weindl, Anne Biewald, Benjamin Leon Bodirsky, Alberte Bondeau, Eltje R. Boons-Prins, Alexander F. Bouwman, Peter A. Leffelaar, Johnny A. te Roller, Sibyll Schaphoff, Kirsten Thonicke

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)

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-LSUha -1 ) but not in temperate regions even at much higher densities (0.4 to 1.2 LSUha -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.
Original languageEnglish
Pages (from-to)429-451
JournalGeoscientific Model Development
Volume11
Issue number1
DOIs
Publication statusPublished - 20 Feb 2018

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Vegetation
Carbon
grassland
vegetation
carbon
grazing
soil carbon
Modeling
Farms
modeling
Soil
livestock
Soils
Cycle
Arid regions
mowing
Global Dynamics
biogeochemical cycle
carbon budget
Harvesting

Cite this

Rolinski, S., Müller, C., Heinke, J., Weindl, I., Biewald, A., Leon Bodirsky, B., ... 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
Rolinski, Susanne ; Müller, Christoph ; Heinke, Jens ; Weindl, Isabelle ; Biewald, Anne ; Leon Bodirsky, Benjamin ; Bondeau, Alberte ; Boons-Prins, Eltje R. ; Bouwman, Alexander F. ; Leffelaar, Peter A. ; te Roller, Johnny A. ; Schaphoff, Sibyll ; Thonicke, Kirsten. / Modeling vegetation and carbon dynamics of managed grasslands at the global scale with LPJmL 3.6. In: Geoscientific Model Development. 2018 ; Vol. 11, No. 1. pp. 429-451.
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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-LSUha -1 ) but not in temperate regions even at much higher densities (0.4 to 1.2 LSUha -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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Rolinski, S, Müller, C, Heinke, J, Weindl, I, Biewald, A, Leon Bodirsky, B, Bondeau, A, Boons-Prins, ER, Bouwman, AF, Leffelaar, PA, te Roller, JA, Schaphoff, S & Thonicke, K 2018, 'Modeling vegetation and carbon dynamics of managed grasslands at the global scale with LPJmL 3.6' Geoscientific Model Development, vol. 11, no. 1, pp. 429-451. https://doi.org/10.5194/gmd-11-429-2018

Modeling vegetation and carbon dynamics of managed grasslands at the global scale with LPJmL 3.6. / Rolinski, Susanne; Müller, Christoph; Heinke, Jens; Weindl, Isabelle; Biewald, Anne; Leon Bodirsky, Benjamin; Bondeau, Alberte; Boons-Prins, Eltje R.; Bouwman, Alexander F.; Leffelaar, Peter A.; te Roller, Johnny A.; Schaphoff, Sibyll; Thonicke, Kirsten.

In: Geoscientific Model Development, Vol. 11, No. 1, 20.02.2018, p. 429-451.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Modeling vegetation and carbon dynamics of managed grasslands at the global scale with LPJmL 3.6

AU - Rolinski, Susanne

AU - Müller, Christoph

AU - Heinke, Jens

AU - Weindl, Isabelle

AU - Biewald, Anne

AU - Leon Bodirsky, Benjamin

AU - Bondeau, Alberte

AU - Boons-Prins, Eltje R.

AU - Bouwman, Alexander F.

AU - Leffelaar, Peter A.

AU - te Roller, Johnny A.

AU - Schaphoff, Sibyll

AU - Thonicke, Kirsten

PY - 2018/2/20

Y1 - 2018/2/20

N2 - 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-LSUha -1 ) but not in temperate regions even at much higher densities (0.4 to 1.2 LSUha -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.

AB - 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-LSUha -1 ) but not in temperate regions even at much higher densities (0.4 to 1.2 LSUha -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.

U2 - 10.5194/gmd-11-429-2018

DO - 10.5194/gmd-11-429-2018

M3 - Article

VL - 11

SP - 429

EP - 451

JO - Geoscientific Model Development

JF - Geoscientific Model Development

SN - 1991-959X

IS - 1

ER -