Inverse determination of soil heterotrophic respiration dependency on temperature and water content under field conditions
This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.
Feature
Request download
Citation
Citation Options
Identification
Title: | Main Title: Inverse determination of soil heterotrophic respiration dependency on temperature and water content under field conditions |
Description: | Abstract: Heterotrophic soil respiration is an important flux within the global carbon cycle. Exact knowledge of the response functions for soil temperature and soil water content is crucial for a reliable prediction of soil carbon turnover. The classical statistical approach for the in situ determination of the temperature response (Q10 or activation energy) of field soil respiration has been criticised for neglecting confounding factors, such as spatial and temporal changes in soil water content and soil organic matter. The aim of this paper is to evaluate an alternative method to estimate the temperature and soil water content response of heterotrophic soil respiration. The new method relies on inverse parameter estimation using a 1-dimensional CO2 transport and carbon turnover model. Inversion results showed that different formulations of the temperature response function resulted in estimated response factors that hardly deviated over the entire range of soil water content and for temperature below 25°C. For higher temperatures, the temperature response was highly uncertain due to the infrequent occurrence of soil temperatures above 25°C. The temperature sensitivity obtained using inverse modelling was within the range of temperature sensitivities estimated from statistical processing of the data. It was concluded that inverse parameter estimation is a promising tool for the determination of the temperature and soil water content response of soil respiration. Future synthetic model studies should investigate to what extent the inverse modelling approach can disentangle confounding factors that typically affect statistical estimates of the sensitivity of soil respiration to temperature and soil water content. |
Identifier: | 10.1007/s10533-011-9583-1 (DOI) |
Responsible Party
Creators: | Jana Bauer (Author), Lutz Weihermüller (Author), Johan A. Huisman (Author), Michael Herbst (Author), Alexander Graf (Author), Jean-Marie Sequaris (Author), Harry Vereecken (Author) |
Publisher: | Springer |
Publication Year: | 2013 |
Topic
TR32 Topic: | Soil |
Related Subproject: | B1 |
Subjects: | Keywords: SRP, Soil Water Content, Sensor |
File Details
Filename: | 2012_Bauer_Biogeochemistry.pdf |
Data Type: | Text - Article |
Size: | 6 Pages |
File Size: | 676 KB |
Dates: | Accepted: 11.02.2011 Issued: 08.03.2011 |
Mime Type: | application/pdf |
Data Format: | |
Language: | English |
Status: | Completed |
Constraints
Download Permission: | Only Project Members |
General Access and Use Conditions: | For internal use only |
Access Limitations: | For internal use only |
Licence: | [TR32DB] Data policy agreement |
Geographic
Specific Information - Publication
Publication Status: | Published |
Review Status: | Peer reviewed |
Publication Type: | Article |
Article Type: | Journal |
Source: | Biogeochemistry |
Volume: | 108 |
Number of Pages: | 16 (119 - 134) |
Metadata Details
Metadata Creator: | Johann Alexander (Sander) Huisman |
Metadata Created: | 05.12.2013 |
Metadata Last Updated: | 05.12.2013 |
Subproject: | B1 |
Funding Phase: | 2 |
Metadata Language: | English |
Metadata Version: | V50 |
Metadata Export
Metadata Schema: |
Dataset Statistics
Page Visits: | 1024 |
Metadata Downloads: | 0 |
Dataset Downloads: | 2 |
Dataset Activity
Feature
Download
By downloading this dataset you accept the license terms of [TR32DB] Data policy agreement and TR32DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.