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Potential bias of daily soil CO(2) efflux estimates due to sampling time
Soil respiration (Rs) has been usually measured during daylight hours using manual chambers. This approach assumes that measurements made during a typical time interval (e.g., 9 to 11 am) represent the mean daily value; locally, this may not always be correct and could result in systematic bias of d...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607316/ https://www.ncbi.nlm.nih.gov/pubmed/28931840 http://dx.doi.org/10.1038/s41598-017-11849-y |
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author | Cueva, Alejandro Bullock, Stephen H. López-Reyes, Eulogio Vargas, Rodrigo |
author_facet | Cueva, Alejandro Bullock, Stephen H. López-Reyes, Eulogio Vargas, Rodrigo |
author_sort | Cueva, Alejandro |
collection | PubMed |
description | Soil respiration (Rs) has been usually measured during daylight hours using manual chambers. This approach assumes that measurements made during a typical time interval (e.g., 9 to 11 am) represent the mean daily value; locally, this may not always be correct and could result in systematic bias of daily and annual Rs budgets. We propose a simple method, based on the temporal stability concept, to determine the most appropriate time of the day for manual measurements to capture a representative mean daily Rs value. We introduce a correction factor to adjust for biases due to non-optimally timed sampling. This approach was tested in a semiarid shrubland using 24 hr campaigns using two treatments: trenched plots and plots with shrubs. In general, we found optimum times were at night and potential biases ranged from −29 to + 40% in relation to the 24 hr mean of Rs, especially in trenched plots. The degree of bias varied between treatments and seasons, having a greater influence during the wet season when efflux was high than during the dry season when efflux was low. This study proposes a framework for improving local Rs estimates that informs how to decrease temporal uncertainties in upscaling to the annual total. |
format | Online Article Text |
id | pubmed-5607316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56073162017-09-24 Potential bias of daily soil CO(2) efflux estimates due to sampling time Cueva, Alejandro Bullock, Stephen H. López-Reyes, Eulogio Vargas, Rodrigo Sci Rep Article Soil respiration (Rs) has been usually measured during daylight hours using manual chambers. This approach assumes that measurements made during a typical time interval (e.g., 9 to 11 am) represent the mean daily value; locally, this may not always be correct and could result in systematic bias of daily and annual Rs budgets. We propose a simple method, based on the temporal stability concept, to determine the most appropriate time of the day for manual measurements to capture a representative mean daily Rs value. We introduce a correction factor to adjust for biases due to non-optimally timed sampling. This approach was tested in a semiarid shrubland using 24 hr campaigns using two treatments: trenched plots and plots with shrubs. In general, we found optimum times were at night and potential biases ranged from −29 to + 40% in relation to the 24 hr mean of Rs, especially in trenched plots. The degree of bias varied between treatments and seasons, having a greater influence during the wet season when efflux was high than during the dry season when efflux was low. This study proposes a framework for improving local Rs estimates that informs how to decrease temporal uncertainties in upscaling to the annual total. Nature Publishing Group UK 2017-09-20 /pmc/articles/PMC5607316/ /pubmed/28931840 http://dx.doi.org/10.1038/s41598-017-11849-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Cueva, Alejandro Bullock, Stephen H. López-Reyes, Eulogio Vargas, Rodrigo Potential bias of daily soil CO(2) efflux estimates due to sampling time |
title | Potential bias of daily soil CO(2) efflux estimates due to sampling time |
title_full | Potential bias of daily soil CO(2) efflux estimates due to sampling time |
title_fullStr | Potential bias of daily soil CO(2) efflux estimates due to sampling time |
title_full_unstemmed | Potential bias of daily soil CO(2) efflux estimates due to sampling time |
title_short | Potential bias of daily soil CO(2) efflux estimates due to sampling time |
title_sort | potential bias of daily soil co(2) efflux estimates due to sampling time |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607316/ https://www.ncbi.nlm.nih.gov/pubmed/28931840 http://dx.doi.org/10.1038/s41598-017-11849-y |
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