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Title: Differences in soil biological activity by terrain types at the sub-field scale in central Iowa US

Soil microbial communities are structured by biogeochemical processes that occur at many different spatial scales, which makes soil sampling difficult. Because soil microbial communities are important in nutrient cycling and soil fertility, it is important to understand how microbial communities function within the heterogeneous soil landscape. In this study, a self-organizing map was used to determine whether landscape data can be used to characterize the distribution of microbial biomass and activity in order to provide an improved understanding of soil microbial community function. Points within a row crop field in south-central Iowa were clustered via a self-organizing map using six landscape properties into three separate landscape clusters. Twelve sampling locations per cluster were chosen for a total of 36 locations. After the soil samples were collected, the samples were then analysed for various metabolic indicators, such as nitrogen and carbon mineralization, extractable organic carbon, microbial biomass, etc. It was found that sampling locations located in the potholes and toe slope positions had significantly greater microbial biomass nitrogen and carbon, total carbon, total nitrogen and extractable organic carbon than the other two landscape position clusters, while locations located on the upslope did not differ significantly from the other landscape clusters. However,more » factors such as nitrate, ammonia, and nitrogen and carbon mineralization did not differ significantly across the landscape. Altogether, this research demonstrates the effectiveness of a terrain-based clustering method for guiding soil sampling of microbial communities.« less
Authors:
ORCiD logo [1] ;  [2] ;  [1] ;  [3] ;  [4]
  1. Iowa State Univ., Ames, IA (United States)
  2. Univ. of Nebraska, Lincoln, NE (United States)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Iowa State Univ., Ames, IA (United States)
  4. Tennessee State Univ., Nashville, TN (United States)
Publication Date:
Report Number(s):
PNNL-SA-127024
Journal ID: ISSN 1932-6203
Grant/Contract Number:
AC05-76RL01830
Type:
Accepted Manuscript
Journal Name:
PLoS ONE
Additional Journal Information:
Journal Volume: 12; Journal Issue: 7; Journal ID: ISSN 1932-6203
Publisher:
Public Library of Science
Research Org:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 54 ENVIRONMENTAL SCIENCES; agriculture soil science; neurons; soil ecology; biomass (ecology); clustering algorithms; data visualization; nitrates; toes
OSTI Identifier:
1378017

Kaleita, Amy L., Schott, Linda R., Hargreaves, Sarah K., Hofmockel, Kirsten S., and Hui, Dafeng. Differences in soil biological activity by terrain types at the sub-field scale in central Iowa US. United States: N. p., Web. doi:10.1371/journal.pone.0180596.
Kaleita, Amy L., Schott, Linda R., Hargreaves, Sarah K., Hofmockel, Kirsten S., & Hui, Dafeng. Differences in soil biological activity by terrain types at the sub-field scale in central Iowa US. United States. doi:10.1371/journal.pone.0180596.
Kaleita, Amy L., Schott, Linda R., Hargreaves, Sarah K., Hofmockel, Kirsten S., and Hui, Dafeng. 2017. "Differences in soil biological activity by terrain types at the sub-field scale in central Iowa US". United States. doi:10.1371/journal.pone.0180596. https://www.osti.gov/servlets/purl/1378017.
@article{osti_1378017,
title = {Differences in soil biological activity by terrain types at the sub-field scale in central Iowa US},
author = {Kaleita, Amy L. and Schott, Linda R. and Hargreaves, Sarah K. and Hofmockel, Kirsten S. and Hui, Dafeng},
abstractNote = {Soil microbial communities are structured by biogeochemical processes that occur at many different spatial scales, which makes soil sampling difficult. Because soil microbial communities are important in nutrient cycling and soil fertility, it is important to understand how microbial communities function within the heterogeneous soil landscape. In this study, a self-organizing map was used to determine whether landscape data can be used to characterize the distribution of microbial biomass and activity in order to provide an improved understanding of soil microbial community function. Points within a row crop field in south-central Iowa were clustered via a self-organizing map using six landscape properties into three separate landscape clusters. Twelve sampling locations per cluster were chosen for a total of 36 locations. After the soil samples were collected, the samples were then analysed for various metabolic indicators, such as nitrogen and carbon mineralization, extractable organic carbon, microbial biomass, etc. It was found that sampling locations located in the potholes and toe slope positions had significantly greater microbial biomass nitrogen and carbon, total carbon, total nitrogen and extractable organic carbon than the other two landscape position clusters, while locations located on the upslope did not differ significantly from the other landscape clusters. However, factors such as nitrate, ammonia, and nitrogen and carbon mineralization did not differ significantly across the landscape. Altogether, this research demonstrates the effectiveness of a terrain-based clustering method for guiding soil sampling of microbial communities.},
doi = {10.1371/journal.pone.0180596},
journal = {PLoS ONE},
number = 7,
volume = 12,
place = {United States},
year = {2017},
month = {7}
}