Soil respiration and its temperature sensitivity (Q10): Rapid acquisition using mid-infrared spectroscopy
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| Title: | Main Title: Soil respiration and its temperature sensitivity (Q10): Rapid acquisition using mid-infrared spectroscopy |
| Description: | Abstract: Spatial patterns of soil respiration (SR) and its sensitivity to temperature (Q10) are one of the key uncertainties in climate change research but since their assessment is very time-consuming, large data sets can still not be provided. Here, we investigated the potential of mid-infrared spectroscopy (MIRS) to predict SR and Q10 values for 124 soil samples of diverse land use types taken from a 2868 km2 catchment (Rur catchment, Germany/Belgium/Netherlands). Soil respiration at standardized temperature (25 °C) and soil moisture (45% of maximum water holding capacity, WHC) was successfully predicted by MIRS coupled with partial least square regression (PLSR, R2= 0.83). Also the Q10 value was predictable by MIRS-PLSR for a grassland submodel (R2= 0.75) and a cropland submodel (R2= 0.72) but not for forested sites (R2= 0.03). In order to provide soil respiration estimates for arbitrary conditions of temperature and soil moisture, more flexible models are required that can handle nonlinear and interacting relations. Therefore, we applied a Random Forest model, which includes the MIRS spectra, temperature, soil moisture, and land use as predictor variables. We could show that SR can be simultaneously predicted for any temperature (5–25 °C) and soil moisture level (30–75% of WHC), indicated by a high R2 of 0.73. We conclude that the combination of MIRS with sophisticated statistical prediction tools allows for a novel, rapid acquisition of SR and Q10 values across landscapes and thus to fill an important data gap in the validation of large scale carbon modeling. |
| Identifier: | 10.1016/j.geoderma.2018.02.031 (DOI) |
Responsible Party
| Creators: | Nele Meyer (Author), Hanna Meyer (Author), Gerd Welp (Author), Wulf Amelung (Author) |
| Publisher: | Elsevier |
| Publication Year: | 2018 |
Topic
| TR32 Topic: | Soil |
| Related Subproject: | B3 |
| Subjects: | Keywords: Soil, Soil Respiration |
File Details
| Filename: | Meyer_et_al_Geoderma_2018.pdf |
| Data Type: | Text - Article |
| File Size: | 1.1 MB |
| Date: | Accepted: 21.02.2018 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
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 - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Geoderma |
| Volume: | 323 |
| Number of Pages: | 10 (31 - 40) |
Metadata Details
| Metadata Creator: | Nele Meyer |
| Metadata Created: | 28.03.2018 |
| Metadata Last Updated: | 28.03.2018 |
| Subproject: | B3 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
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