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Mapping the yields of lignocellulosic bioenergy crops from observations at the global scale

Li, W.; Ciais, P.; Stehfest, E.; Van Vuuren, D.; Popp, A.; Arneth, A.; Di Fulvio, F.; Doelman, J.; Humpenöder, F.; B Harper, A.; Park, T.; Makowski, D.; Havlik, P.; Obersteiner, M.; Wang, J.; Krause, A.; Liu, W.

Abstract:
Most scenarios from integrated assessment models (IAMs) that project greenhouse gas emissions include the use of bioenergy as a means to reduce CO$^{2}$ emissions or even to achieve negative emissions (together with CCS – carbon capture and storage). The potential amount of CO$^{2}$ that can be removed from the atmosphere depends, among others, on the yields of bioenergy crops, the land available to grow these crops and the efficiency with which CO$^{2}$ produced by combustion is captured. While bioenergy crop yields can be simulated by models, estimates of the spatial distribution of bioenergy yields under current technology based on a large number of observations are currently lacking. ... mehr

Abstract (englisch):
Abstract
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Most scenarios from integrated assessment models (IAMs) that project greenhouse gas emissions include the use of bioenergy as a means to reduce CO2 emissions or even to achieve negative emissions (together with CCS – carbon capture and storage). The potential amount of CO2 that can be removed from the atmosphere depends, among others, on the yields of bioenergy crops, the land available to grow these crops and the efficiency with which CO2 produced by combustion is captured. While bioenergy crop yields can be simulated by models, estimates of the spatial distribution of bioenergy yields under current technology based on a large number of observations are currently lacking. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000118830
Veröffentlicht am 04.05.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1866-3508, 1866-3516
KITopen-ID: 1000118830
Erschienen in Earth system science data
Band 12
Heft 2
Seiten 789-804
Vorab online veröffentlicht am 02.04.2020
Nachgewiesen in Web of Science
Scopus
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