Mathias Hoffmann, Nicole Jurisch, Juana Garcia Alba, Elisa Albiac Borraz, Marten Schmidt, Vytas Huth, Helmut Rogasik, Helene Rieckh, Gernot Verch, Michael Sommer, Jürgen Augustin
- Carbon (C) sequestration in soils plays a key role in the global C cycle. It is therefore crucial to adequately monitor dynamics in soil organic carbon (Delta SOC) stocks when aiming to reveal underlying processes and potential drivers. However, small-scale spatial (10-30 m) and temporal changes in SOC stocks, particularly pronounced in arable lands, are hard to assess. The main reasons for this are limitations of the well-established methods. On the one hand, repeated soil inventories, often used in long-term field trials, reveal spatial patterns and trends in Delta SOC but require a longer observation period and a sufficient number of repetitions. On the other hand, eddy covariance measurements of C fluxes towards a complete C budget of the soil-plant-atmosphere system may help to obtain temporal Delta SOC patterns but lack small-scale spatial resolution.
To overcome these limitations, this study presents a reliable method to detect both short-term temporal dynamics as well as small-scale spatial differences of Delta SOC usingCarbon (C) sequestration in soils plays a key role in the global C cycle. It is therefore crucial to adequately monitor dynamics in soil organic carbon (Delta SOC) stocks when aiming to reveal underlying processes and potential drivers. However, small-scale spatial (10-30 m) and temporal changes in SOC stocks, particularly pronounced in arable lands, are hard to assess. The main reasons for this are limitations of the well-established methods. On the one hand, repeated soil inventories, often used in long-term field trials, reveal spatial patterns and trends in Delta SOC but require a longer observation period and a sufficient number of repetitions. On the other hand, eddy covariance measurements of C fluxes towards a complete C budget of the soil-plant-atmosphere system may help to obtain temporal Delta SOC patterns but lack small-scale spatial resolution.
To overcome these limitations, this study presents a reliable method to detect both short-term temporal dynamics as well as small-scale spatial differences of Delta SOC using measurements of the net ecosystem carbon balance (NECB) as a proxy. To estimate the NECB, a combination of automatic chamber (AC) measurements of CO2 exchange and empirically modeled aboveground biomass development (NPPshoot / were used. To verify our method, results were compared with Delta SOC observed by soil resampling.
Soil resampling and AC measurements were performed from 2010 to 2014 at a colluvial depression located in the hummocky ground moraine landscape of northeastern Germany. The measurement site is characterized by a variable groundwater level (GWL) and pronounced small-scale spatial heterogeneity regarding SOC and nitrogen (Nt) stocks. Tendencies and magnitude of Delta SOC values derived by AC measurements and repeated soil inventories corresponded well. The period of maximum plant growth was identified as being most important for the development of spatial differences in annual Delta SOC. Hence, we were able to confirm that AC-based C budgets are able to reveal small-scale spatial differences and short-term temporal dynamics of Delta SOC.…
MetadatenAuthor details: | Mathias Hoffmann, Nicole Jurisch, Juana Garcia Alba, Elisa Albiac Borraz, Marten Schmidt, Vytas Huth, Helmut Rogasik, Helene Rieckh, Gernot Verch, Michael SommerORCiDGND, Jürgen Augustin |
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URN: | urn:nbn:de:kobv:517-opus4-417118 |
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DOI: | https://doi.org/10.25932/publishup-41711 |
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ISSN: | 1866-8372 |
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Title of parent work (English): | Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe |
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Subtitle (English): | a comparison between automatic chamber-derived C budgets and repeated soil inventories |
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Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (666) |
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Publication type: | Postprint |
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Language: | English |
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Date of first publication: | 2019/03/04 |
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Publication year: | 2017 |
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Publishing institution: | Universität Potsdam |
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Release date: | 2019/03/04 |
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Tag: | CO2 fluxes; North Central region; United States; agricultural landscapes; dioxide exchange; eddy covariance; gas-exchange; monitoring networks; net ecosystem exchange; no-till ecosystem |
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Issue: | 666 |
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Number of pages: | 17 |
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Source: | Biogeosciences 14 (2017), pp. 1003–1019 DOI 10.5194/bg-14-1003-2017 |
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Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät |
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DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
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| 5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie |
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Peer review: | Referiert |
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Publishing method: | Open Access |
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License (German): | CC-BY - Namensnennung 4.0 International |
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