Gast ::
| Hauptseite > Publikationsdatenbank > Dissolved organic matter characteristics of deciduous and coniferous forests with variable management: different at the source, aligned in the soil > print |
| Hauptseite > Publikationsdatenbank > Dissolved organic matter characteristics of deciduous and coniferous forests with variable management: different at the source, aligned in the soil > print |
| 001 | 862823 | ||
| 005 | 20210130001643.0 | ||
| 024 | 7 | _ | |a 10.5194/bg-16-1411-2019 |2 doi |
| 024 | 7 | _ | |a 1726-4170 |2 ISSN |
| 024 | 7 | _ | |a 1726-4189 |2 ISSN |
| 024 | 7 | _ | |a 2128/22207 |2 Handle |
| 024 | 7 | _ | |a WOS:000463512200002 |2 WOS |
| 024 | 7 | _ | |a altmetric:58584708 |2 altmetric |
| 037 | _ | _ | |a FZJ-2019-03024 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 550 |
| 100 | 1 | _ | |a Thieme, Lisa |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Dissolved organic matter characteristics of deciduous and coniferous forests with variable management: different at the source, aligned in the soil |
| 260 | _ | _ | |a Katlenburg-Lindau [u.a.] |c 2019 |b Copernicus |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1558449899_22398 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Dissolved organic matter (DOM) is part of thebiogeochemical cycles of carbon and nutrients, carries pol-lutants and drives soil formation. The DOM concentrationand properties along the water flow path through forestecosystems depend on its sampling location and transfor-mation processes. To improve our understanding of the ef-fects of forest management, especially tree species selec-tion and management intensity, on DOM concentrations andproperties of samples from different ecosystem fluxes, westudied throughfall, stemflow, litter leachate and mineral soilsolution at 26 forest sites in the three regions of the Ger-man Biodiversity Exploratories. We covered forest standswith three management categories (coniferous, deciduousage class and unmanaged beech forests). In water samplesfrom these forests, we monitored DOC concentrations over 4years and characterized the quality of DOM with UV-vis ab-sorption, fluorescence spectroscopy combined with parallelfactor analysis (PARAFAC) and Fourier transform ion cy-clotron resonance mass spectrometry (FT-ICR-MS). Addi-tionally, we performed incubation-based biodegradation as-says. Multivariate statistics revealed strong significant ef-fects of ecosystem fluxes and smaller effects of main treespecies on DOM quality. Coniferous forests differed fromdeciduous forests by showing larger DOC concentrations,more lignin- and protein-like molecules, and fewer tannin-like molecules in throughfall, stemflow, and litter leachate.Cluster analysis of FT-ICR-MS data indicated that DOMcompositions, which varied in aboveground samples depend-ing on tree species, become aligned in mineral soil. Thisalignment of DOM composition along the water flow pathin mineral soil is likely caused by microbial production andconsumption of DOM in combination with its interactionwith the solid phase, producing a characteristic pattern of or-ganic compounds in forest mineral soils. We found similarlypronounced effects of ecosystem fluxes on the biodegradabil-ity of DOM, but surprisingly no differences between deciduous and coniferous forests. Forest management intensity,mainly determined by biomass extraction, contribution ofspecies, which are not site-adapted, and deadwood mass, didnot influence DOC concentrations, DOM composition andproperties significantly. |
| 536 | _ | _ | |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) |0 G:(DE-HGF)POF3-255 |c POF3-255 |f POF III |x 0 |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Graeber, Daniel |0 0000-0001-8331-9639 |b 1 |
| 700 | 1 | _ | |a Hofmann, Diana |0 P:(DE-Juel1)129471 |b 2 |
| 700 | 1 | _ | |a Bischoff, Sebastian |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Schwarz, Martin T. |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Steffen, Bernhard |0 P:(DE-Juel1)132269 |b 5 |
| 700 | 1 | _ | |a Meyer, Ulf-Niklas |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Kaupenjohann, Martin |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Wilcke, Wolfgang |0 0000-0002-6031-4613 |b 8 |
| 700 | 1 | _ | |a Michalzik, Beate |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a Siemens, Jan |0 P:(DE-HGF)0 |b 10 |
| 773 | _ | _ | |a 10.5194/bg-16-1411-2019 |g Vol. 16, no. 7, p. 1411 - 1432 |0 PERI:(DE-600)2158181-2 |n 7 |p 1411 - 1432 |t Biogeosciences |v 16 |y 2019 |x 1726-4189 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/862823/files/bg-16-1411-2019_final.pdf |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/862823/files/bg-16-1411-2019_final.pdf?subformat=pdfa |x pdfa |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:862823 |p openaire |p open_access |p driver |p VDB:Earth_Environment |p VDB |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)129471 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-Juel1)132269 |
| 913 | 1 | _ | |a DE-HGF |l Terrestrische Umwelt |1 G:(DE-HGF)POF3-250 |0 G:(DE-HGF)POF3-255 |2 G:(DE-HGF)POF3-200 |v Terrestrial Systems: From Observation to Prediction |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Erde und Umwelt |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 1 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 914 | 1 | _ | |y 2019 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1040 |2 StatID |b Zoological Record |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b BIOGEOSCIENCES : 2017 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Peer review |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1060 |2 StatID |b Current Contents - Agriculture, Biology and Environmental Sciences |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBG-3-20101118 |k IBG-3 |l Agrosphäre |x 0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 1 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IBG-3-20101118 |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|