Functional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds

Abstract Defining relationships between biodiversity and ecosystem functioning (BEF) is key to understanding the consequences of biodiversity loss. Although species functional traits are strongly linked to ecosystem processes, their integration into BEF models has been focused mainly on terrestrial...

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Autores principales:	Melisa C. Wong, Michael Dowd
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	biodiversity–ecosystem functioning commonality analysis eelgrass elastic‐net regression functional diversity functional traits Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/4c140ada89664b9dbad3f0ce9cb206d2
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spelling	oai:doaj.org-article:4c140ada89664b9dbad3f0ce9cb206d22021-11-29T07:06:42ZFunctional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds2150-892510.1002/ecs2.3794https://doaj.org/article/4c140ada89664b9dbad3f0ce9cb206d22021-11-01T00:00:00Zhttps://doi.org/10.1002/ecs2.3794https://doaj.org/toc/2150-8925Abstract Defining relationships between biodiversity and ecosystem functioning (BEF) is key to understanding the consequences of biodiversity loss. Although species functional traits are strongly linked to ecosystem processes, their integration into BEF models has been focused mainly on terrestrial ecosystems. Application is limited because functional trait‐based BEF models typically have small‐sample sizes and highly correlated predictors, making it difficult for model selection and identifying underlying drivers. We examine the BEF relationship between secondary production and benthic invertebrate taxonomic and functional diversity for seagrass beds located across a range of environmental conditions. Specifically, we evaluate the role of complementarity (i.e., dissimilarity in species or traits) and dominance (disproportional importance of traits) in determining secondary production at 20 sites using 34 metrics of taxonomic diversity, functional diversity, and functional traits. Here, diversity metrics represent complementarity and functional traits represent dominance. We used elastic‐net regression and commonality analysis to evaluate the BEF model, because its properties (i.e., few observations and many potential, and highly correlated, predictors) precluded more standard approaches and it is well suited to this situation. Functional richness and five functional traits (crawling, surface deposit feeding [SurDF], location on sediment surface, lifespan 1–3 yr, and semi‐continuous breeding) were identified as important determinants of secondary production, explaining 74% of the variance. SurDF was the most important predictor that acted in isolation to influence secondary production, while all other predictors acted together. All six selected variables in three different combinations explained 68% of the total variance in the BEF model. These results indicate that both dominance and complementarity mechanisms were important for the BEF relationship. Our study highlights elastic‐net regression and commonality analysis as a powerful approach to model functional trait‐based BEF relationships. We further show that inclusion of the functional landscape into BEF models is highly valuable, allowing the implications of species loss for ecosystem functioning to be mechanistically understood.Melisa C. WongMichael DowdWileyarticlebiodiversity–ecosystem functioningcommonality analysiseelgrasselastic‐net regressionfunctional diversityfunctional traitsEcologyQH540-549.5ENEcosphere, Vol 12, Iss 11, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	biodiversity–ecosystem functioning commonality analysis eelgrass elastic‐net regression functional diversity functional traits Ecology QH540-549.5
spellingShingle	biodiversity–ecosystem functioning commonality analysis eelgrass elastic‐net regression functional diversity functional traits Ecology QH540-549.5 Melisa C. Wong Michael Dowd Functional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds
description	Abstract Defining relationships between biodiversity and ecosystem functioning (BEF) is key to understanding the consequences of biodiversity loss. Although species functional traits are strongly linked to ecosystem processes, their integration into BEF models has been focused mainly on terrestrial ecosystems. Application is limited because functional trait‐based BEF models typically have small‐sample sizes and highly correlated predictors, making it difficult for model selection and identifying underlying drivers. We examine the BEF relationship between secondary production and benthic invertebrate taxonomic and functional diversity for seagrass beds located across a range of environmental conditions. Specifically, we evaluate the role of complementarity (i.e., dissimilarity in species or traits) and dominance (disproportional importance of traits) in determining secondary production at 20 sites using 34 metrics of taxonomic diversity, functional diversity, and functional traits. Here, diversity metrics represent complementarity and functional traits represent dominance. We used elastic‐net regression and commonality analysis to evaluate the BEF model, because its properties (i.e., few observations and many potential, and highly correlated, predictors) precluded more standard approaches and it is well suited to this situation. Functional richness and five functional traits (crawling, surface deposit feeding [SurDF], location on sediment surface, lifespan 1–3 yr, and semi‐continuous breeding) were identified as important determinants of secondary production, explaining 74% of the variance. SurDF was the most important predictor that acted in isolation to influence secondary production, while all other predictors acted together. All six selected variables in three different combinations explained 68% of the total variance in the BEF model. These results indicate that both dominance and complementarity mechanisms were important for the BEF relationship. Our study highlights elastic‐net regression and commonality analysis as a powerful approach to model functional trait‐based BEF relationships. We further show that inclusion of the functional landscape into BEF models is highly valuable, allowing the implications of species loss for ecosystem functioning to be mechanistically understood.
format	article
author	Melisa C. Wong Michael Dowd
author_facet	Melisa C. Wong Michael Dowd
author_sort	Melisa C. Wong
title	Functional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds
title_short	Functional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds
title_full	Functional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds
title_fullStr	Functional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds
title_full_unstemmed	Functional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds
title_sort	functional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/4c140ada89664b9dbad3f0ce9cb206d2
work_keys_str_mv	AT melisacwong functionaltraitcomplementarityanddominancebothdeterminebenthicsecondaryproductionintemperateseagrassbeds AT michaeldowd functionaltraitcomplementarityanddominancebothdeterminebenthicsecondaryproductionintemperateseagrassbeds
_version_	1718407522283421696

Functional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds

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