Soil organic carbon cycling in response to simulated soil moisture variation under field conditions

Abstract The combination of extended dry periods and high intensity rainfall, common in the southeastern US, leads to greater variability in soil moisture and consequently increases uncertainty to microbial processes pertinent to soil carbon (C) mineralization. However, field-based findings on soil...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Shikha Singh, Melanie A. Mayes, Avat Shekoofa, Stephanie N. Kivlin, Sangeeta Bansal, Sindhu Jagadamma
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/bb2337cca0b046158f96edcc18807d94
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:bb2337cca0b046158f96edcc18807d94
record_format dspace
spelling oai:doaj.org-article:bb2337cca0b046158f96edcc18807d942021-12-02T15:49:43ZSoil organic carbon cycling in response to simulated soil moisture variation under field conditions10.1038/s41598-021-90359-42045-2322https://doaj.org/article/bb2337cca0b046158f96edcc18807d942021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90359-4https://doaj.org/toc/2045-2322Abstract The combination of extended dry periods and high intensity rainfall, common in the southeastern US, leads to greater variability in soil moisture and consequently increases uncertainty to microbial processes pertinent to soil carbon (C) mineralization. However, field-based findings on soil moisture sensitivity to soil C cycling are very limited. Therefore, a field experiment was conducted in 2018 and 2019 on a soybean (Glycine max L.) cropland in the southeastern US with three soil moisture treatments: drought (simulated using rainout-shelter from June to October in each year), rainfed (natural precipitation), and irrigated (irrigation and precipitation). Soil respiration was measured weekly from May to November in both years. Soil samples were collected multiple times each year from 0–5, 5–15, and 15–30 cm depths to determine microbial biomass C (MBC), extractable organic C (EOC), hydrolytic enzyme activities, and fungal abundance. The cumulative respiration under drought compared to other treatments was lower by 32% to 33% in 2018 and 38% to 45% in 2019. Increased MBC, EOC, and fungal abundance were observed under drought than other treatments. Specific enzyme activity indicated fewer metabolically active microbes under drought treatment compared to rainfed and irrigated treatments. Also, maintenance of enzyme pool was observed under drought condition. These results provide critical insights on microbial metabolism in response to soil moisture variation and how that influences different pools of soil C under field conditions.Shikha SinghMelanie A. MayesAvat ShekoofaStephanie N. KivlinSangeeta BansalSindhu JagadammaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Shikha Singh
Melanie A. Mayes
Avat Shekoofa
Stephanie N. Kivlin
Sangeeta Bansal
Sindhu Jagadamma
Soil organic carbon cycling in response to simulated soil moisture variation under field conditions
description Abstract The combination of extended dry periods and high intensity rainfall, common in the southeastern US, leads to greater variability in soil moisture and consequently increases uncertainty to microbial processes pertinent to soil carbon (C) mineralization. However, field-based findings on soil moisture sensitivity to soil C cycling are very limited. Therefore, a field experiment was conducted in 2018 and 2019 on a soybean (Glycine max L.) cropland in the southeastern US with three soil moisture treatments: drought (simulated using rainout-shelter from June to October in each year), rainfed (natural precipitation), and irrigated (irrigation and precipitation). Soil respiration was measured weekly from May to November in both years. Soil samples were collected multiple times each year from 0–5, 5–15, and 15–30 cm depths to determine microbial biomass C (MBC), extractable organic C (EOC), hydrolytic enzyme activities, and fungal abundance. The cumulative respiration under drought compared to other treatments was lower by 32% to 33% in 2018 and 38% to 45% in 2019. Increased MBC, EOC, and fungal abundance were observed under drought than other treatments. Specific enzyme activity indicated fewer metabolically active microbes under drought treatment compared to rainfed and irrigated treatments. Also, maintenance of enzyme pool was observed under drought condition. These results provide critical insights on microbial metabolism in response to soil moisture variation and how that influences different pools of soil C under field conditions.
format article
author Shikha Singh
Melanie A. Mayes
Avat Shekoofa
Stephanie N. Kivlin
Sangeeta Bansal
Sindhu Jagadamma
author_facet Shikha Singh
Melanie A. Mayes
Avat Shekoofa
Stephanie N. Kivlin
Sangeeta Bansal
Sindhu Jagadamma
author_sort Shikha Singh
title Soil organic carbon cycling in response to simulated soil moisture variation under field conditions
title_short Soil organic carbon cycling in response to simulated soil moisture variation under field conditions
title_full Soil organic carbon cycling in response to simulated soil moisture variation under field conditions
title_fullStr Soil organic carbon cycling in response to simulated soil moisture variation under field conditions
title_full_unstemmed Soil organic carbon cycling in response to simulated soil moisture variation under field conditions
title_sort soil organic carbon cycling in response to simulated soil moisture variation under field conditions
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/bb2337cca0b046158f96edcc18807d94
work_keys_str_mv AT shikhasingh soilorganiccarboncyclinginresponsetosimulatedsoilmoisturevariationunderfieldconditions
AT melanieamayes soilorganiccarboncyclinginresponsetosimulatedsoilmoisturevariationunderfieldconditions
AT avatshekoofa soilorganiccarboncyclinginresponsetosimulatedsoilmoisturevariationunderfieldconditions
AT stephanienkivlin soilorganiccarboncyclinginresponsetosimulatedsoilmoisturevariationunderfieldconditions
AT sangeetabansal soilorganiccarboncyclinginresponsetosimulatedsoilmoisturevariationunderfieldconditions
AT sindhujagadamma soilorganiccarboncyclinginresponsetosimulatedsoilmoisturevariationunderfieldconditions
_version_ 1718385715168935936