Surface interpolation of environmental factors as tool for evaluation of the occurrence of high methane and nitrous oxide fluxes
| Autor: | Andreas Lengerer, Marian Kazda |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Hydrology
geography geography.geographical_feature_category 010504 meteorology & atmospheric sciences Astrophysics::High Energy Astrophysical Phenomena Soil Science Wetland 04 agricultural and veterinary sciences Plant Science Atmospheric sciences 01 natural sciences Methane chemistry.chemical_compound Lead (geology) Flux (metallurgy) chemistry Greenhouse gas 040103 agronomy & agriculture Rare events 0401 agriculture forestry and fisheries Environmental science Intensity (heat transfer) 0105 earth and related environmental sciences Interpolation |
| Zdroj: | Journal of Plant Nutrition and Soil Science. 181:51-60 |
| ISSN: | 1522-2624 1436-8730 |
| DOI: | 10.1002/jpln.201600407 |
| Popis: | Greenhouse gas (GHG) emissions from wetlands typically exhibit extended low-flux phases accompanied by distinct high-flux events. Prediction and explanation of flux occurrence is hindered by various interactions of the underlying environmental predictors. Here, a novel approach is described to gain insight in patterns of environmental factors, which lead to elevated emissions. Natural neighbor interpolation was utilized to construct flux intensity maps based on two environmental predictors, the ground water level and soil temperature. Further, the effect of inhomogeneous data density was considered by filtering estimates for sufficient information content. The practical application was exemplified by CH4 and N2O flux field data of three years from two fen sites in southwest Germany. This approach considered factor interactions as well as the fluxes occurring as rare events. The application can be useful for the delineation of driving conditions for high-flux events as well as for wetland management practice. |
| Databáze: | OpenAIRE |
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