n-Alkane deuterium analysis of soil samples from South Africa
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| Sprache: | en |
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PANGAEA
2017
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| author | Herrmann, Nicole Boom, Arnoud Carr, Andrew S Chase, Brian M West, Adam G Zabel, Matthias Schefuß, Enno |
| author_facet | Herrmann, Nicole Boom, Arnoud Carr, Andrew S Chase, Brian M West, Adam G Zabel, Matthias Schefuß, Enno |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The hydrogen isotope composition of plant leaf wax (dDwax) has been found to record the isotope composition of precipitation (dDp). Hence, dDwax is increasingly used for palaeohydrological reconstruction. It is, however, also affected by secondary factors, such as vegetation type, evapotranspiration and environmental conditions, complicating its direct application as a quantitative palaeohydrological proxy. Here, we present dDwax data from soils along vegetation gradients and climatic transects in southern Africa to investigate the impact of different environmental factors on dDwax. We found that dDwax correlated significantly with annual dDp (obtained from the interpolated Online Isotopes in Precipitation Calculator data set) throughout eastern and central South Africa, where the majority of the mean annual precipitation falls during the summer. We found evidence for the effect of evapotranspiration on dDwax, while vegetation change was of minor importance. In contrast, we found that δDwax did not correlate with annual dDp in western and southwestern South Africa, where most of the annual precipitation falls during winter. Wide microclimatic variability in this topographically variable region, including distinct vegetation communities and high vegetation diversity between biomes as well as a potential influence of summer rain in some locals, likely compromised identification of a clear relationship between dDwax and dDp in this region. Our findings have implications for palaeoenvironmental investigations using dDwax in southern Africa. In the summer rain dominated eastern and central region, dDwax should serve well as a qualitative palaeohydrological recorder. In contrast, the processes influencing dDwax in the winter rain- dominated western and southwestern South Africa remain unclear and, pending further analyses, potentially constrain its use as palaeohydrological proxy in this region. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_875109 |
| institution | PANGAEA |
| language | en |
| publishDate | 2017 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | n-Alkane deuterium analysis of soil samples from South Africa Herrmann, Nicole Boom, Arnoud Carr, Andrew S Chase, Brian M West, Adam G Zabel, Matthias Schefuß, Enno Biome; Center for Marine Environmental Sciences; CNT2-3; CNT3-1; CNT5-3; CNT6-2; Event label; FB1-1; FB2-1; FB3-1; FB3-4; FB4-1; FB4-3; FB5-3; FB5-4; FB6-1; FB6-2; Gas chromatography - Flame Ionization Detection (GC-FID); Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); GTC11-3; GTC12-2; GTC12-3; GTC13-2; GTC14-2; GTC15-3; GTC16-2; GTC16-3; GTC17-3; GTC18-2; GTC18-3; GTC19-2; GTC19-3; GTC20-2; GTC21-3; GTC23-2; GTC23-3; GTC24-3; GTC25-2; GTC27-3; GTC28-2; GTC28-3; GTC30-3; GTC6-3; GTC7-1; GTC8-1; GTC8-2; GTC8-3; GTC9-1; HEIGHT above ground; Height aboveground, maximum; Height aboveground, minimum; Latitude of event; Longitude of event; MARUM; n-Alkane C29, per unit sediment mass; n-Alkane C29, δD; n-Alkane C29, δD, standard deviation; n-Alkane C31, per unit sediment mass; n-Alkane C31, δD; n-Alkane C31, δD, standard deviation; n-Alkanes C29,C31, δD; NK1-2; NK1-3; RAiN; Regional Archives for Integrated iNvestigations; SK10-3; SK11-3; SK1-2; SK12-3; SK1-4; SK15-2; SK2-1; SK2-2; SK3-4; SK4-1; SK4-2; SK5-3; SK6-1; SK6-3; SK7-1; SK8-3; SK9-3; SK9-4; SP1; Standard deviation; SV2-3; SV3-3; SV4-1; SV4-3; SV5-2; SV5-3 The hydrogen isotope composition of plant leaf wax (dDwax) has been found to record the isotope composition of precipitation (dDp). Hence, dDwax is increasingly used for palaeohydrological reconstruction. It is, however, also affected by secondary factors, such as vegetation type, evapotranspiration and environmental conditions, complicating its direct application as a quantitative palaeohydrological proxy. Here, we present dDwax data from soils along vegetation gradients and climatic transects in southern Africa to investigate the impact of different environmental factors on dDwax. We found that dDwax correlated significantly with annual dDp (obtained from the interpolated Online Isotopes in Precipitation Calculator data set) throughout eastern and central South Africa, where the majority of the mean annual precipitation falls during the summer. We found evidence for the effect of evapotranspiration on dDwax, while vegetation change was of minor importance. In contrast, we found that δDwax did not correlate with annual dDp in western and southwestern South Africa, where most of the annual precipitation falls during winter. Wide microclimatic variability in this topographically variable region, including distinct vegetation communities and high vegetation diversity between biomes as well as a potential influence of summer rain in some locals, likely compromised identification of a clear relationship between dDwax and dDp in this region. Our findings have implications for palaeoenvironmental investigations using dDwax in southern Africa. In the summer rain dominated eastern and central region, dDwax should serve well as a qualitative palaeohydrological recorder. In contrast, the processes influencing dDwax in the winter rain- dominated western and southwestern South Africa remain unclear and, pending further analyses, potentially constrain its use as palaeohydrological proxy in this region. |
| title | n-Alkane deuterium analysis of soil samples from South Africa |
| topic | Biome; Center for Marine Environmental Sciences; CNT2-3; CNT3-1; CNT5-3; CNT6-2; Event label; FB1-1; FB2-1; FB3-1; FB3-4; FB4-1; FB4-3; FB5-3; FB5-4; FB6-1; FB6-2; Gas chromatography - Flame Ionization Detection (GC-FID); Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); GTC11-3; GTC12-2; GTC12-3; GTC13-2; GTC14-2; GTC15-3; GTC16-2; GTC16-3; GTC17-3; GTC18-2; GTC18-3; GTC19-2; GTC19-3; GTC20-2; GTC21-3; GTC23-2; GTC23-3; GTC24-3; GTC25-2; GTC27-3; GTC28-2; GTC28-3; GTC30-3; GTC6-3; GTC7-1; GTC8-1; GTC8-2; GTC8-3; GTC9-1; HEIGHT above ground; Height aboveground, maximum; Height aboveground, minimum; Latitude of event; Longitude of event; MARUM; n-Alkane C29, per unit sediment mass; n-Alkane C29, δD; n-Alkane C29, δD, standard deviation; n-Alkane C31, per unit sediment mass; n-Alkane C31, δD; n-Alkane C31, δD, standard deviation; n-Alkanes C29,C31, δD; NK1-2; NK1-3; RAiN; Regional Archives for Integrated iNvestigations; SK10-3; SK11-3; SK1-2; SK12-3; SK1-4; SK15-2; SK2-1; SK2-2; SK3-4; SK4-1; SK4-2; SK5-3; SK6-1; SK6-3; SK7-1; SK8-3; SK9-3; SK9-4; SP1; Standard deviation; SV2-3; SV3-3; SV4-1; SV4-3; SV5-2; SV5-3 |
| url | https://doi.org/10.1594/PANGAEA.875109 |