Improvement of soil respiration estimates by mid-infrared spectroscopy
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| Titles: | Main Title: Improvement of soil respiration estimates by mid-infrared spectroscopy Subtitle: 3rd PhD report |
| Description: | Abstract: Semi-annual PhD report. Spatial patterns of soil respiration (SR) and their sensitivity to temperature (Q10) are one of the key uncertainties in climate change research but their assessment is too time-consuming to conduct research on large data sets. Here, we investigate the potential of mid-infrared spectroscopy (MIRS) coupled with partial-least square regression (PLSR) to predict SR and Q10 values for 108 soil samples of diverse land use types. Predictions of SR delivered excellent accuracy for the entire data set (R² = 0.90). The prediction accuracy of the Q10 value was excellent for a cropland submodel (R² = 0.88), and acceptable for a grassland submodel (R² = 0.66), but poor accuracy was obtained by a general model including the entire data set (R² = 0.23). In a second step, we showed that SR at any temperature and soil moisture level can be directly predicted by a random forests model which includes the MIRS spectra, temperature, soil moisture, and land use as predictor variables (R² = 0.81). Although our approach to assess soil respiration still requires soil sampling, the analytical time is largely reduced compared to soil respiration measurements at various temperatures and soil moisture levels. |
Responsible Party
| Creators: | Nele Meyer (Author), Gerd Welp (Author), Wulf Amelung (Author) |
| Publisher: | CRC/TR32 Database (TR32DB) |
| Publication Year: | 2016 |
Topic
| TR32 Topic: | Soil |
| Related Subproject: | B3 |
| Subjects: | Keywords: Soil CO2 efflux, Soil Respiration, Soil, Soil Temperature |
File Details
| Filename: | Meyer_PhDReport.pdf |
| Data Type: | Text - Text |
| File Size: | 453 KB |
| Date: | Created: 30.09.2016 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | In Process |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | According to the TR32DB data policy agreement. |
| Access Limitations: | According to the TR32DB data policy agreement. |
| Licence: | [TR32DB] Data policy agreement |
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Specific Information - Report
| Report Date: | 30th of September, 2016 |
| Report Type: | PhD Report |
| Report City: | Bonn |
| Report Institution: | INRES-Soil science |
Metadata Details
| Metadata Creator: | Nele Meyer |
| Metadata Created: | 11.10.2016 |
| Metadata Last Updated: | 11.10.2016 |
| Subproject: | B3 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 808 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 2 |
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