Composition of fungal functional guilds explains variance in forest soil nutrient cycling

Autores
Vietorisz, Corinne; Policelli, Nahuel; Li, Abigail; Adams, Lindsey; Bhatnagar, Jennifer M.
Año de publicación
2023
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Soil fungi and bacteria are responsible for soil nutrient cycling, including decomposition, mineralization, immobilization, and transfer of nutrients to tree roots, yet the role of soil community composition in controlling forest nutrient cycling is poorly understood. We aimed to test the hypothesis that incorporating microbial community composition into linear models will increase the variation explained in forest soil N and P cycling relative to models including only plant community and abiotic characteristics. To do this, we designed a forested field system in New England in which variation in microbial community composition was crossed with variation in vegetation composition and soil nutrient content. At six forest sites (three suburban and three rural sites), we sampled soil along a transect from the forest edge to interior from four stand types dominated by trees of varying litter quality: pine-dominated, pure hardwood, hardwood with pines in the understory, and mature mixed pine-hardwood. In each soil sample, we measured inorganic and total nitrogen (N) and phosphorus (P), N and P mineralization rates, and nitrification rates. We also performed high-throughput sequencing of fungal and bacterial rDNA amplicons (16S/ITS) and calculated functional guild abundance for fungi and bacteria in each sample. Excluding microbial factors, N mineralization was best explained in a linear model by pH, soil temperature, soil moisture, % soil organic matter, and the abundance of understory vegetation; nitrification was best explained by pH, the proportion of hardwood litter, the abundance of understory vegetation, and basal area of arbuscular mycorrhizal-associating trees. We found that including the proportion of fungal functional guilds improved linear statistical models explaining variance in rates of N mineralization and nitrification, but not in single point measurements of inorganic N or total P. The proportion of ectomycorrhizal fungi per sample was positively related to N mineralization (p = 7e-05, R2 = 0.128), and including it in the model increased the proportion of variance explained in N mineralization rates by 2.8%. The proportion of saprotrophic fungi per sample was positively related to nitrification (p = 0.001, R2 = 0.083), and including it in the model increased the proportion of variance explained in nitrification rates by 2.0%. These findings suggest that ectomycorrhizal fungi may play a role in N mineralization, while saprotrophs may be more important for nitrification. We are currently building models to explain P mineralization and to improve current models by incorporating bacterial functional guilds.
Fil: Vietorisz, Corinne. Boston University; Estados Unidos
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. Boston University; Estados Unidos
Fil: Li, Abigail. Boston University; Estados Unidos
Fil: Adams, Lindsey. Boston University; Estados Unidos
Fil: Bhatnagar, Jennifer M.. Boston University; Estados Unidos
ESA 2023 - Meeting of the Ecological Society of America
Portland
Estados Unidos
Ecological Society of America
Materia
CARBON CYCLING
ECTOMYCORRHIZAL FUNGI
SOIL MICROBES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/218615

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spelling Composition of fungal functional guilds explains variance in forest soil nutrient cyclingVietorisz, CorinnePolicelli, NahuelLi, AbigailAdams, LindseyBhatnagar, Jennifer M.CARBON CYCLINGECTOMYCORRHIZAL FUNGISOIL MICROBEShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Soil fungi and bacteria are responsible for soil nutrient cycling, including decomposition, mineralization, immobilization, and transfer of nutrients to tree roots, yet the role of soil community composition in controlling forest nutrient cycling is poorly understood. We aimed to test the hypothesis that incorporating microbial community composition into linear models will increase the variation explained in forest soil N and P cycling relative to models including only plant community and abiotic characteristics. To do this, we designed a forested field system in New England in which variation in microbial community composition was crossed with variation in vegetation composition and soil nutrient content. At six forest sites (three suburban and three rural sites), we sampled soil along a transect from the forest edge to interior from four stand types dominated by trees of varying litter quality: pine-dominated, pure hardwood, hardwood with pines in the understory, and mature mixed pine-hardwood. In each soil sample, we measured inorganic and total nitrogen (N) and phosphorus (P), N and P mineralization rates, and nitrification rates. We also performed high-throughput sequencing of fungal and bacterial rDNA amplicons (16S/ITS) and calculated functional guild abundance for fungi and bacteria in each sample. Excluding microbial factors, N mineralization was best explained in a linear model by pH, soil temperature, soil moisture, % soil organic matter, and the abundance of understory vegetation; nitrification was best explained by pH, the proportion of hardwood litter, the abundance of understory vegetation, and basal area of arbuscular mycorrhizal-associating trees. We found that including the proportion of fungal functional guilds improved linear statistical models explaining variance in rates of N mineralization and nitrification, but not in single point measurements of inorganic N or total P. The proportion of ectomycorrhizal fungi per sample was positively related to N mineralization (p = 7e-05, R2 = 0.128), and including it in the model increased the proportion of variance explained in N mineralization rates by 2.8%. The proportion of saprotrophic fungi per sample was positively related to nitrification (p = 0.001, R2 = 0.083), and including it in the model increased the proportion of variance explained in nitrification rates by 2.0%. These findings suggest that ectomycorrhizal fungi may play a role in N mineralization, while saprotrophs may be more important for nitrification. We are currently building models to explain P mineralization and to improve current models by incorporating bacterial functional guilds.Fil: Vietorisz, Corinne. Boston University; Estados UnidosFil: 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. Boston University; Estados UnidosFil: Li, Abigail. Boston University; Estados UnidosFil: Adams, Lindsey. Boston University; Estados UnidosFil: Bhatnagar, Jennifer M.. Boston University; Estados UnidosESA 2023 - Meeting of the Ecological Society of AmericaPortlandEstados UnidosEcological Society of AmericaEcological Society of America2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectEncuentroBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/218615Composition of fungal functional guilds explains variance in forest soil nutrient cycling; ESA 2023 - Meeting of the Ecological Society of America; Portland; Estados Unidos; 2023; 1-2CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://esa2023.eventscribe.net/info:eu-repo/semantics/altIdentifier/url/https://esa2023.eventscribe.net/fsPopup.asp?PresentationID=1275836&mode=presInfoInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:40:22Zoai:ri.conicet.gov.ar:11336/218615instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:40:22.558CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Composition of fungal functional guilds explains variance in forest soil nutrient cycling
title Composition of fungal functional guilds explains variance in forest soil nutrient cycling
spellingShingle Composition of fungal functional guilds explains variance in forest soil nutrient cycling
Vietorisz, Corinne
CARBON CYCLING
ECTOMYCORRHIZAL FUNGI
SOIL MICROBES
title_short Composition of fungal functional guilds explains variance in forest soil nutrient cycling
title_full Composition of fungal functional guilds explains variance in forest soil nutrient cycling
title_fullStr Composition of fungal functional guilds explains variance in forest soil nutrient cycling
title_full_unstemmed Composition of fungal functional guilds explains variance in forest soil nutrient cycling
title_sort Composition of fungal functional guilds explains variance in forest soil nutrient cycling
dc.creator.none.fl_str_mv Vietorisz, Corinne
Policelli, Nahuel
Li, Abigail
Adams, Lindsey
Bhatnagar, Jennifer M.
author Vietorisz, Corinne
author_facet Vietorisz, Corinne
Policelli, Nahuel
Li, Abigail
Adams, Lindsey
Bhatnagar, Jennifer M.
author_role author
author2 Policelli, Nahuel
Li, Abigail
Adams, Lindsey
Bhatnagar, Jennifer M.
author2_role author
author
author
author
dc.subject.none.fl_str_mv CARBON CYCLING
ECTOMYCORRHIZAL FUNGI
SOIL MICROBES
topic CARBON CYCLING
ECTOMYCORRHIZAL FUNGI
SOIL MICROBES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Soil fungi and bacteria are responsible for soil nutrient cycling, including decomposition, mineralization, immobilization, and transfer of nutrients to tree roots, yet the role of soil community composition in controlling forest nutrient cycling is poorly understood. We aimed to test the hypothesis that incorporating microbial community composition into linear models will increase the variation explained in forest soil N and P cycling relative to models including only plant community and abiotic characteristics. To do this, we designed a forested field system in New England in which variation in microbial community composition was crossed with variation in vegetation composition and soil nutrient content. At six forest sites (three suburban and three rural sites), we sampled soil along a transect from the forest edge to interior from four stand types dominated by trees of varying litter quality: pine-dominated, pure hardwood, hardwood with pines in the understory, and mature mixed pine-hardwood. In each soil sample, we measured inorganic and total nitrogen (N) and phosphorus (P), N and P mineralization rates, and nitrification rates. We also performed high-throughput sequencing of fungal and bacterial rDNA amplicons (16S/ITS) and calculated functional guild abundance for fungi and bacteria in each sample. Excluding microbial factors, N mineralization was best explained in a linear model by pH, soil temperature, soil moisture, % soil organic matter, and the abundance of understory vegetation; nitrification was best explained by pH, the proportion of hardwood litter, the abundance of understory vegetation, and basal area of arbuscular mycorrhizal-associating trees. We found that including the proportion of fungal functional guilds improved linear statistical models explaining variance in rates of N mineralization and nitrification, but not in single point measurements of inorganic N or total P. The proportion of ectomycorrhizal fungi per sample was positively related to N mineralization (p = 7e-05, R2 = 0.128), and including it in the model increased the proportion of variance explained in N mineralization rates by 2.8%. The proportion of saprotrophic fungi per sample was positively related to nitrification (p = 0.001, R2 = 0.083), and including it in the model increased the proportion of variance explained in nitrification rates by 2.0%. These findings suggest that ectomycorrhizal fungi may play a role in N mineralization, while saprotrophs may be more important for nitrification. We are currently building models to explain P mineralization and to improve current models by incorporating bacterial functional guilds.
Fil: Vietorisz, Corinne. Boston University; Estados Unidos
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. Boston University; Estados Unidos
Fil: Li, Abigail. Boston University; Estados Unidos
Fil: Adams, Lindsey. Boston University; Estados Unidos
Fil: Bhatnagar, Jennifer M.. Boston University; Estados Unidos
ESA 2023 - Meeting of the Ecological Society of America
Portland
Estados Unidos
Ecological Society of America
description Soil fungi and bacteria are responsible for soil nutrient cycling, including decomposition, mineralization, immobilization, and transfer of nutrients to tree roots, yet the role of soil community composition in controlling forest nutrient cycling is poorly understood. We aimed to test the hypothesis that incorporating microbial community composition into linear models will increase the variation explained in forest soil N and P cycling relative to models including only plant community and abiotic characteristics. To do this, we designed a forested field system in New England in which variation in microbial community composition was crossed with variation in vegetation composition and soil nutrient content. At six forest sites (three suburban and three rural sites), we sampled soil along a transect from the forest edge to interior from four stand types dominated by trees of varying litter quality: pine-dominated, pure hardwood, hardwood with pines in the understory, and mature mixed pine-hardwood. In each soil sample, we measured inorganic and total nitrogen (N) and phosphorus (P), N and P mineralization rates, and nitrification rates. We also performed high-throughput sequencing of fungal and bacterial rDNA amplicons (16S/ITS) and calculated functional guild abundance for fungi and bacteria in each sample. Excluding microbial factors, N mineralization was best explained in a linear model by pH, soil temperature, soil moisture, % soil organic matter, and the abundance of understory vegetation; nitrification was best explained by pH, the proportion of hardwood litter, the abundance of understory vegetation, and basal area of arbuscular mycorrhizal-associating trees. We found that including the proportion of fungal functional guilds improved linear statistical models explaining variance in rates of N mineralization and nitrification, but not in single point measurements of inorganic N or total P. The proportion of ectomycorrhizal fungi per sample was positively related to N mineralization (p = 7e-05, R2 = 0.128), and including it in the model increased the proportion of variance explained in N mineralization rates by 2.8%. The proportion of saprotrophic fungi per sample was positively related to nitrification (p = 0.001, R2 = 0.083), and including it in the model increased the proportion of variance explained in nitrification rates by 2.0%. These findings suggest that ectomycorrhizal fungi may play a role in N mineralization, while saprotrophs may be more important for nitrification. We are currently building models to explain P mineralization and to improve current models by incorporating bacterial functional guilds.
publishDate 2023
dc.date.none.fl_str_mv 2023
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Composition of fungal functional guilds explains variance in forest soil nutrient cycling; ESA 2023 - Meeting of the Ecological Society of America; Portland; Estados Unidos; 2023; 1-2
CONICET Digital
CONICET
url http://hdl.handle.net/11336/218615
identifier_str_mv Composition of fungal functional guilds explains variance in forest soil nutrient cycling; ESA 2023 - Meeting of the Ecological Society of America; Portland; Estados Unidos; 2023; 1-2
CONICET Digital
CONICET
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