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dc.contributor.author
Vietorisz, Corinne  
dc.contributor.author
Policelli, Nahuel  
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Li, Abigail  
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Bhatnagar, Jennifer M.  
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Adams, Lindsey  
dc.date.available
2024-02-29T10:51:43Z  
dc.date.issued
2023  
dc.identifier.citation
Fungal and bacterial functional groups explain variance in soil nutrient cycling; American Geophysical Union 2023 meeting; San Francisco; Estados Unidos; 2023; 1-2  
dc.identifier.uri
http://hdl.handle.net/11336/228885  
dc.description.abstract
Soil microbes are the driving force behind soil nutrient cycling, yet the role of their composition and function in controlling forest nutrient cycling is poorly understood and rarely used to predict rates of biogeochemical cycling. We aimed to answer: 1) Which microbial traits are the best predictors of soil nitrogen (N) and phosphorus (P) cycling rates in temperate forests? 2) What are the relative contributions of microbial, plant, and abiotic traits in explaining rates of soil N and P cycling? We hypothesized that including fungal and bacterial gene abundances would better predict soil N and P cycling than plant traits and abiotic conditions alone. To test this hypothesis, we designed a field system in New England where variation in microbial community composition was crossed with variation in vegetation composition and soil nutrient content. At 6 sites, we sampled soil along a transect from the forest edge to interior from four stand types: pine, hardwood, hardwood with pine saplings in the understory, and mixed mature pine-hardwood. In each sample, we measured net ammonification, nitrification, and phosphate release rates. We performed high-throughput sequencing of fungal and bacterial rDNA amplicons (16S/ITS), used PICRUSt2 to calculate bacterial gene abundances, and used all published fungal genomes to calculate genus-level gene abundances. Abundances of bacterial and fungal genes coding for decomposition of plant litter were positively correlated with net ammonification (bacterial: p = 1.6e-08, R2 = 0.27; fungal: p = 0.006, R2 = 0.09) and phosphate release (fungal: p = 0.002, R2 = 0.23; bacterial: p = 0.03, R2 = 0.17). However, instead of gene abundances, microbial functional guilds were the best predictors of nitrification: N-cycling bacterial abundance positively correlated with nitrification (N cycling: p = 1e-06, R2 = 0.18) and ectomycorrhizal abundance was negatively correlated with nitrification (p = 4e-08, R2 = 0.26). Using model selection, the best linear models to explain nitrification and phosphate release included microbial, plant, and abiotic traits, and for ammonification included microbial and abiotic traits. Our results show that multiple microbial traits are important predictors of soil N and P cycling and should be included in future ecosystem-level biogeochemistry models.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Geophysical Union  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
NITROGEN  
dc.subject
CARBON  
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MICROBIAL COMMUNITY  
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SOIL  
dc.subject.classification
Ecología  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Fungal and bacterial functional groups explain variance in soil nutrient cycling  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2023-12-26T14:15:22Z  
dc.journal.pagination
1-2  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
San Francisco  
dc.description.fil
Fil: Vietorisz, Corinne. Boston University; Estados Unidos  
dc.description.fil
Fil: Policelli, Nahuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina  
dc.description.fil
Fil: Li, Abigail. Boston University; Estados Unidos  
dc.description.fil
Fil: Bhatnagar, Jennifer M.. Boston University; Estados Unidos  
dc.description.fil
Fil: Adams, Lindsey. Boston University; Estados Unidos  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1439269  
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Autor  
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Autor  
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Autor  
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Autor  
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Autor  
dc.coverage
Internacional  
dc.type.subtype
Reunión  
dc.description.nombreEvento
American Geophysical Union 2023 meeting  
dc.date.evento
2023-12-11  
dc.description.ciudadEvento
San Francisco  
dc.description.paisEvento
Estados Unidos  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
American Geophysical Union  
dc.source.libro
American Geophysical Union (AGU) 2023 meeting  
dc.date.eventoHasta
2023-12-15  
dc.type
Reunión