Publications of J. Kesselmeier
All genres
Journal Article (122)
61.
Journal Article
6 (4), pp. 7295 - 7324 (2009)
Modeling the variability in annual carbon fluxes related to biological soil crusts in a Mediterranean shrubland. Biogeosciences Discussions 62.
Journal Article
113 (D20), D20304 (2008)
Net ecosystem fluxes of isoprene over tropical South America inferred from Global Ozone Monitoring Experiment (GOME) observations of HCHO columns. Journal of Geophysical Research-Atmospheres 63.
Journal Article
10 (1), pp. 65 - 75 (2008)
Methanol emissions from deciduous tree species: dependence on temperature and light intensity. Plant Biology 64.
Journal Article
10 (1), pp. 2 - 7 (2008)
Volatile organic compounds in the biosphere-atmosphere system: a preface. Plant Biology 65.
Journal Article
5 (4), pp. 1085 - 1100 (2008)
The effect of flooding on the exchange of the volatile C2-compounds ethanol, acetaldehyde and acetic acid between leaves of Amazonian floodplain tree species and the atmosphere. Biogeosciences 66.
Journal Article
5 (2), pp. 475 - 483 (2008)
Soil atmosphere exchange of carbonyl sulfide (COS) regulated by diffusivity depending on water-filled pore space. Biogeosciences 67.
Journal Article
88 (5), pp. 303 - 315 (2008)
Automated in situ analysis of volatile sulfur gases using a Sulfur Gas Analyser (SUGAR) based on cryogenic trapping and gas-chromatographic separation. Journal of Environmental Analytical Chemistry 68.
Journal Article
5 (5), pp. 1411 - 1423 (2008)
The CO2 exchange of biological soil crusts in a semiarid grass-shrubland at the northern transition zone of the Negev desert, Israel. Biogeosciences 69.
Journal Article
41 (18), pp. 3748 - 3757 (2007)
Isoprenoid emissions of trees in a tropical rainforest in Xishuangbanna, SW China. Atmospheric Environment 70.
Journal Article
8 (5), pp. 530 - 536 (2007)
The missing link in COS metabolism: A model study on the reactivation of carbonic anhydrase from its hydrosulfide analogue. ChemBioChem 71.
Journal Article
7 (11), pp. 2855 - 2879 (2007)
Isoprene and monoterpene fluxes from Central Amazonian rainforest inferred from tower-based and airborne measurements, and implications on the atmospheric chemistry and the local carbon budget. Atmospheric Chemistry and Physics 72.
Journal Article
52 (3), pp. 435 - 451 (2007)
Determination of volatile organic compounds (VOCs) in the atmosphere over central Siberian forest and southern part of European Taiga in Russia. Chemia Analityczna 73.
Journal Article
55 (1), pp. 81 - 102 (2006)
Terpene emissions from European beech (Fagus sylvatica L.): Pattern and emission behaviour over two vegetation periods. Journal of Atmospheric Chemistry 74.
Journal Article
111 (D16), D16305 (2006)
Significant light and temperature dependent monoterpene emissions from European beech (Fagus sylvatica L.) and their potential impact on the European volatile organic compound budget. Journal of Geophysical Research-Atmospheres 75.
Journal Article
101 (1), pp. 1 - 12 (2006)
Ground and space spectral measurements for assessing the semi-arid ecosystem phenology related to CO2 fluxes of biological soil crusts. Remote Sensing of Environment 76.
Journal Article
64 (4), pp. 651 - 669 (2006)
Relationships between Normalized Difference Vegetation Index (NDVI) and carbon fluxes of biologic soil crusts assessed by ground measurements. Journal of Arid Environments 77.
Journal Article
132 (3-4), pp. 286 - 304 (2005)
Lagrangian dispersion of 222Rn, H2O and CO2 within Amazonian rain forest. Agricultural and Forest Meteorology 78.
Journal Article
7 (6), pp. 568 - 576 (2005)
Design and field application of an automated cartridge sampler for VOC concentration and flux measurements. Journal of Environmental Monitoring 79.
Journal Article
39 (12), pp. 2275 - 2279 (2005)
Formaldehyde and acetaldehyde exchange during leaf development of the Amazonian deciduous tree species Hymenaea courbaril. Atmospheric Environment 80.
Journal Article
28 (3), pp. 287 - 301 (2005)
Coupling isoprene and monoterpene emissions from Amazonian tree species with physiological and environmental parameters using a neural network approach. Plant Cell and Environment