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Titel |
Soil carbon management in large-scale Earth system modelling: implications for crop yields and nitrogen leaching |
VerfasserIn |
S. Olin, M. Lindeskog, T. A. M. Pugh, G. Schurgers, D. Wårlind, M. Mishurov, S. Zaehle, B. D. Stocker, B. Smith, A. Arneth |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
2190-4979
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Digitales Dokument |
URL |
Erschienen |
In: Earth System Dynamics ; 6, no. 2 ; Nr. 6, no. 2 (2015-11-30), S.745-768 |
Datensatznummer |
250115488
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Publikation (Nr.) |
copernicus.org/esd-6-745-2015.pdf |
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Zusammenfassung |
Croplands are vital ecosystems for human
well-being and provide important ecosystem services such as crop yields,
retention of nitrogen and carbon storage. On large (regional to global)-scale
levels, assessment of how these
different services will vary in space and time, especially in response
to cropland management, are scarce.
We explore cropland management alternatives and the effect these can
have on future C and N pools and fluxes using the land-use-enabled
dynamic vegetation model LPJ-GUESS (Lund–Potsdam–Jena General Ecosystem Simulator). Simulated crop production,
cropland carbon storage, carbon sequestration and nitrogen leaching
from croplands are evaluated and discussed. Compared to the version
of LPJ-GUESS that does not include land-use dynamics, estimates of
soil carbon stocks and nitrogen leaching from terrestrial to aquatic
ecosystems were improved.
Our model experiments allow us to investigate trade-offs between these ecosystem services that can
be provided from agricultural fields. These trade-offs are evaluated for
current land use and climate and further explored for future
conditions within the two future climate change scenarios, RCP (Representative Concentration Pathway) 2.6
and 8.5. Our results show that the potential for carbon
sequestration due to typical cropland management practices such as
no-till management and cover crops proposed in previous studies is not realised,
globally or over larger climatic regions. Our results highlight
important considerations to be made when modelling C–N interactions
in agricultural ecosystems under future environmental change and
the effects these have on terrestrial biogeochemical cycles. |
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