Evaluating relationships between plants, water chemistry, and denitrification potential in palustrine freshwater marshes

Wetlands are hotspots for various biogeochemical processes, including denitrification. Despite its ecological and economic importance, denitrification has proven difficult to measure. Plant community composition, water chemistry, and physical habitat characteristics are all known to play roles in re...

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Autores principales:	Jacob M. Dybiec, Nicholas P. Danz, Deric R. Learman, Donald G. Uzarski
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Denitrification Wetlands Wetland vegetation Ecosystem function Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/5c60e1d8e0c54f6e8d48ebbae2b9b0d3
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spelling	oai:doaj.org-article:5c60e1d8e0c54f6e8d48ebbae2b9b0d32021-12-01T04:59:51ZEvaluating relationships between plants, water chemistry, and denitrification potential in palustrine freshwater marshes1470-160X10.1016/j.ecolind.2021.108163https://doaj.org/article/5c60e1d8e0c54f6e8d48ebbae2b9b0d32021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21008281https://doaj.org/toc/1470-160XWetlands are hotspots for various biogeochemical processes, including denitrification. Despite its ecological and economic importance, denitrification has proven difficult to measure. Plant community composition, water chemistry, and physical habitat characteristics are all known to play roles in regulating denitrification rates in wetlands. By investigating these relationships, we sought to not only better understand the factors related to denitrification within wetlands, but to build a predictive model capable of estimating the denitrification potential of those wetlands in a more accessible and efficient manner. To accomplish this, we combined a survey of 27 inland marshes throughout Michigan’s Lower Peninsula with a genetic analysis of denitrification potential within their soils. We found that denitrification, and the spatial variation therein, did not vary significantly between vegetation types at either the individual replicate or site levels. Dissolved oxygen and specific conductance were strong predictors of denitrification potential at all levels of analysis, while correlations with plant community composition varied amongst vegetation types. Spatial variation in denitrification potential, both vertically through the soil column and horizontally across the marshes, was most strongly correlated with plant community composition. Lastly, the metric-based predictive model constructed from these relationships was found to be highly predictive of denitrification potential. This model represents both a more accessible method for estimating denitrification in wetlands, and a framework for building similar models in other wetland systems.Jacob M. DybiecNicholas P. DanzDeric R. LearmanDonald G. UzarskiElsevierarticleDenitrificationWetlandsWetland vegetationEcosystem functionEcologyQH540-549.5ENEcological Indicators, Vol 131, Iss , Pp 108163- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Denitrification Wetlands Wetland vegetation Ecosystem function Ecology QH540-549.5
spellingShingle	Denitrification Wetlands Wetland vegetation Ecosystem function Ecology QH540-549.5 Jacob M. Dybiec Nicholas P. Danz Deric R. Learman Donald G. Uzarski Evaluating relationships between plants, water chemistry, and denitrification potential in palustrine freshwater marshes
description	Wetlands are hotspots for various biogeochemical processes, including denitrification. Despite its ecological and economic importance, denitrification has proven difficult to measure. Plant community composition, water chemistry, and physical habitat characteristics are all known to play roles in regulating denitrification rates in wetlands. By investigating these relationships, we sought to not only better understand the factors related to denitrification within wetlands, but to build a predictive model capable of estimating the denitrification potential of those wetlands in a more accessible and efficient manner. To accomplish this, we combined a survey of 27 inland marshes throughout Michigan’s Lower Peninsula with a genetic analysis of denitrification potential within their soils. We found that denitrification, and the spatial variation therein, did not vary significantly between vegetation types at either the individual replicate or site levels. Dissolved oxygen and specific conductance were strong predictors of denitrification potential at all levels of analysis, while correlations with plant community composition varied amongst vegetation types. Spatial variation in denitrification potential, both vertically through the soil column and horizontally across the marshes, was most strongly correlated with plant community composition. Lastly, the metric-based predictive model constructed from these relationships was found to be highly predictive of denitrification potential. This model represents both a more accessible method for estimating denitrification in wetlands, and a framework for building similar models in other wetland systems.
format	article
author	Jacob M. Dybiec Nicholas P. Danz Deric R. Learman Donald G. Uzarski
author_facet	Jacob M. Dybiec Nicholas P. Danz Deric R. Learman Donald G. Uzarski
author_sort	Jacob M. Dybiec
title	Evaluating relationships between plants, water chemistry, and denitrification potential in palustrine freshwater marshes
title_short	Evaluating relationships between plants, water chemistry, and denitrification potential in palustrine freshwater marshes
title_full	Evaluating relationships between plants, water chemistry, and denitrification potential in palustrine freshwater marshes
title_fullStr	Evaluating relationships between plants, water chemistry, and denitrification potential in palustrine freshwater marshes
title_full_unstemmed	Evaluating relationships between plants, water chemistry, and denitrification potential in palustrine freshwater marshes
title_sort	evaluating relationships between plants, water chemistry, and denitrification potential in palustrine freshwater marshes
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/5c60e1d8e0c54f6e8d48ebbae2b9b0d3
work_keys_str_mv	AT jacobmdybiec evaluatingrelationshipsbetweenplantswaterchemistryanddenitrificationpotentialinpalustrinefreshwatermarshes AT nicholaspdanz evaluatingrelationshipsbetweenplantswaterchemistryanddenitrificationpotentialinpalustrinefreshwatermarshes AT dericrlearman evaluatingrelationshipsbetweenplantswaterchemistryanddenitrificationpotentialinpalustrinefreshwatermarshes AT donaldguzarski evaluatingrelationshipsbetweenplantswaterchemistryanddenitrificationpotentialinpalustrinefreshwatermarshes
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Evaluating relationships between plants, water chemistry, and denitrification potential in palustrine freshwater marshes

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