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

dc.contributor.author Kaleita, Amy
dc.contributor.author Schott, Linda
dc.contributor.author Hargreaves, Sarah
dc.contributor.author Kaleita, Amy
dc.contributor.author Hofmockel, Kirsten
dc.contributor.department Ecology, Evolution and Organismal Biology
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-02-18T21:45:53.000
dc.date.accessioned 2020-06-29T22:42:57Z
dc.date.available 2020-06-29T22:42:57Z
dc.date.issued 2017-07-07
dc.description.abstract <p>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. Overall, this research demonstrates the effectiveness of a terrain-based clustering method for guiding soil sampling of microbial communities.</p>
dc.description.comments <p>This article is from PLoS ONE 12(7): e0180596. <a href="https://doi.org/10.1371/journal.pone.0180596" target="_blank">https://doi.org/10.1371/journal.pone.0180596</a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/826/
dc.identifier.articleid 2108
dc.identifier.contextkey 10643029
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/826
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1631
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/826/2017_Kaleita_DifferencesSoil.pdf|||Sat Jan 15 02:08:48 UTC 2022
dc.source.uri 10.1371/journal.pone.0180596
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Environmental Microbiology and Microbial Ecology
dc.title Differences in soil biological activity by terrain types at the sub-field scale in central Iowa US
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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