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1,403 results on '"Butterbach-bahl, Klaus"'

21. Models in country scale carbon accounting of forest soils

Author

Peltoniemi, Mikko, Thürig, Esther, Ogle, Stephen, Palosuo, Taru, Schrumpf, Marion, Wutzler, Thomas, Butterbach-Bahl, Klaus, Chertov, Oleg, Komarov, Alexander, Mikhailov, Aleksey, Gärdenäs, Annemieke, Perry, Charles, Liski, Jari, Smith, Pete, and Mäkipää, Raisa

Subjects
Forestry, SD1-669.5
Abstract

Countries need to assess changes in the carbon stocks of forest soils as a part of national greenhouse gas (GHG) inventories under the United Nations Framework Convention on Climate Change (UNFCCC) and the Kyoto Protocol (KP). Since measuring these changes is expensive, it is likely that many countries will use alternative methods to prepare these estimates. We reviewed seven well-known soil carbon models from the point of view of preparing country-scale soil C change estimates. We first introduced the models and explained how they incorporated the most important input variables. Second, we evaluated their applicability at regional scale considering commonly available data sources. Third, we compiled references to data that exist for evaluation of model performance in forest soils. A range of process-based soil carbon models differing in input data requirements exist, allowing some flexibility to forest soil C accounting. Simple models may be the only reasonable option to estimate soil C changes if available resources are limited. More complex models may be used as integral parts of sophisticated inventories assimilating several data sources. Currently, measurement data for model evaluation are common for agricultural soils, but less data have been collected in forest soils. Definitions of model and measured soil pools often differ, ancillary model inputs require scaling of data, and soil C measurements are uncertain. These issues complicate the preparation of model estimates and their evaluation with empirical data, at large scale. Assessment of uncertainties that accounts for the effect of model choice is important part of inventories estimating large-scale soil C changes. Joint development of models and large-scale soil measurement campaigns could reduce the inconsistencies between models and empirical data, and eventually also the uncertainties of model predictions.

Published
2007
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46. Microbiota responses to mutations affecting NO homeostasis in Arabidopsis thaliana.

Author

Berger, Antoine, Pérez‐Valera, Eduardo, Blouin, Manuel, Breuil, Marie‐Christine, Butterbach‐Bahl, Klaus, Dannenmann, Michael, Besson‐Bard, Angélique, Jeandroz, Sylvain, Valls, Josep, Spor, Aymé, Subramaniam, Logapragasan, Pétriacq, Pierre, Wendehenne, David, and Philippot, Laurent

Subjects
BACTERIAL communities, SOIL profiles, FUNGAL communities, ARABIDOPSIS thaliana, MICROBIAL communities, PLANT growth, SOIL microbiology, RHIZOSPHERE microbiology
Abstract

Summary: Interactions between plants and microorganisms are pivotal for plant growth and productivity. Several plant molecular mechanisms that shape these microbial communities have been identified. However, the importance of nitric oxide (NO) produced by plants for the associated microbiota remains elusive.Using Arabidopsis thaliana isogenic mutants overproducing NO (nox1, NO overexpression) or down‐producing NO (i.e. nia1nia2 impaired in the expression of both nitrate reductases NR1/NIA1 and NR2/NIA2; the 35s::GSNOR1 line overexpressing nitrosoglutathione reductase (GSNOR) and 35s::AHB1 line overexpressing haemoglobin 1 (AHB1)), we investigated how altered NO homeostasis affects microbial communities in the rhizosphere and in the roots, soil microbial activity and soil metabolites.We show that the rhizosphere microbiome was affected by the mutant genotypes, with the nox1 and nia1nia2 mutants causing opposite shifts in bacterial and fungal communities compared with the wild‐type (WT) Col‐0 in the rhizosphere and roots, respectively. These mutants also exhibited distinctive soil metabolite profiles than those from the other genotypes while soil microbial activity did not differ between the mutants and the WT Col‐0.Our findings support our hypothesis that changes in NO production by plants can influence the plant microbiome composition with differential effects between fungal and bacterial communities. [ABSTRACT FROM AUTHOR]

Published
2024
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