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Dynamic simulation of management events for assessing impacts of climate change on pre-alpine grassland productivity

Petersen, Krischan 1; Kraus, David 1; Calanca, Pierluigi; Semenov, Mikhail A.; Butterbach-Bahl, Klaus 1; Kiese, Ralf 1
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:
The productivity of permanent temperate cut grasslands is mainly driven by weather, soil characteristics, botanical composition and management. To adapt management to climate change, adjusting the cutting dates to reflect earlier onset of growth and expansion of the vegetation period is particularly important. Simulations of cut grassland productivity under climate change scenarios demands management settings to be dynamically derived from actual plant development rather than using static values derived from current management operations. This is even more important in the alpine region, where the predicted temperature increase is twice as high as compared to the global or Northern Hemispheric average.

For this purpose, we developed a dynamic management module that provides timing of cutting and manuring events when running the biogeochemical model LandscapeDNDC. We derived the dynamic management rules from long-term harvest measurements and monitoring data collected at pre-alpine grassland sites located in S-Germany and belonging to the TERENO monitoring network. We applied the management module for simulations of two grassland sites covering the period 2011–2100 and driven by scenarios that reflect the two representative concentration pathways (RCP) 4.5 and 8.5 and evaluated yield developments of different management regimes.
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Verlagsausgabe §
DOI: 10.5445/IR/1000133642
Veröffentlicht am 09.06.2021
Originalveröffentlichung
DOI: 10.1016/j.eja.2021.126306
Scopus
Zitationen: 4
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1161-0301, 1873-7331
KITopen-ID: 1000133642
HGF-Programm 12.11.22 (POF IV, LK 01) Biogeochemical modeling of ecosystem-climate interactions
Weitere HGF-Programme 12.11.23 (POF IV, LK 01) Biogenic Greenhousegas Fluxes
Erschienen in European Journal of Agronomy
Verlag Elsevier
Band 128
Seiten Art.-Nr.: 126306
Projektinformation SUSALPS-II (BMBF, EU 6. RP, 031B0516A)
Schlagwörter Mountainous grasslands; Biomass yields; Process-based modelling; Growing season; Adaptive management
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