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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/218615
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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 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject Encuentro Book http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
status_str |
publishedVersion |
format |
conferenceObject |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/218615 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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eng |
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eng |
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Ecological Society of America |
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Ecological Society of America |
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