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Anita D. Bayer
Researcher at Karlsruhe Institute of Technology
Publications - 24
Citations - 1316
Anita D. Bayer is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Soil carbon & Dynamic global vegetation model. The author has an hindex of 11, co-authored 19 publications receiving 930 citations. Previous affiliations of Anita D. Bayer include German Aerospace Center.
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Journal ArticleDOI
A global spectral library to characterize the world’s soil
R. A. Viscarra Rossel,Thorsten Behrens,Eyal Ben-Dor,David J. Brown,José Alexandre Melo Demattê,Keith D. Shepherd,Zhou Shi,Bo Stenberg,Antoine Stevens,Viacheslav I. Adamchuk,Hamouda Aichi,Bernard Barthès,Harm Bartholomeus,Anita D. Bayer,Martial Bernoux,Kristin Böttcher,L. Brodský,Changwen Du,Adrian Chappell,Youssef Fouad,Valérie Genot,Cécile Gomez,Sabine Grunwald,Andreas Gubler,César Guerrero,Carolyn Hedley,Maria Knadel,H.J.M. Morrás,Marco Nocita,Leonardo Ramirez-Lopez,Pierre Roudier,E.M. Rufasto Campos,P. Sanborn,V.M. Sellitto,Kenneth A. Sudduth,Barry G. Rawlins,Christian Walter,Leigh A. Winowiecki,Suk Young Hong,Wenjun Ji,Wenjun Ji,Wenjun Ji +41 more
TL;DR: In this article, the authors developed and analyzed a global soil visible-near infrared (vis-NIR) spectral library, which is currently the largest and most diverse database of its kind, and showed that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability.
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Historical carbon dioxide emissions caused by land-use changes are possibly larger than assumed
Almut Arneth,Stephen Sitch,Julia Pongratz,Benjamin D. Stocker,Philippe Ciais,Benjamin Poulter,Anita D. Bayer,Alberte Bondeau,Leonardo Calle,Louise Chini,Thomas Gasser,Marianela Fader,Pierre Friedlingstein,Etsushi Kato,Wenyu Li,Mats Lindeskog,Julia E. M. S. Nabel,Thomas A. M. Pugh,Eddy Robertson,Nicolas Viovy,Chao Yue,Sönke Zaehle +21 more
TL;DR: In this article, the authors show that the terrestrial biosphere absorbs about 20% of fossil fuel CO2 emissions and the overall magnitude of this sink is constrained by the difference between emissions, the rate of increase in atmospheric CO2 concentrations, and the ocean sink.
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Pathways to bridge the biophysical realism gap in ecosystem services mapping approaches
Sandra Lavorel,Anita D. Bayer,Alberte Bondeau,Sven Lautenbach,Ana Ruiz-Frau,Nynke Schulp,Ralf Seppelt,Peter H. Verburg,Astrid J.A. van Teeffelen,Clémence Vannier,Almut Arneth,Wolfgang Cramer,Núria Marbà +12 more
TL;DR: This paper provides a synthesis of available approaches, models and tools, and data sources, that are able to better link ecosystem service mapping to current understanding of the role of ecosystem service providing organisms and land/seascape structure in ecosystem functioning and opens avenues for further model development using hybrid approaches tailored to available resources.
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Simulated carbon emissions from land-use change are substantially enhanced by accounting for agricultural management
Thomas A. M. Pugh,Almut Arneth,Stefan Olin,Anders Ahlström,Anders Ahlström,Anita D. Bayer,Kees Klein Goldewijk,Kees Klein Goldewijk,Mats Lindeskog,Guy Schurgers,Guy Schurgers +10 more
TL;DR: In this article, the authors assess the effect of representing agricultural land management in a dynamic global vegetation model, and find that accounting for harvest, grazing and tillage resulted in cumulative E-LUC since 1850 ca. 70% larger than in simulations ignoring these processes, but also changed the timescale over which these emissions occurred and led to underestimation of the carbon sequestered by possible future reforestation actions.
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A Comparison of Feature-Based MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem
TL;DR: Two approaches for the quantification of soil organic carbon, iron oxides, and clay content based on field and laboratory spectroscopy of natural surfaces are tested, developed based on extensive ground reference data of 163 sampled sites collected in the Thicket Biome, South Africa.