Seagrass-Sediment Feedback : An Exploration Using a Non-recursive Structural Equation Model

The reciprocal effects between sediment texture and seagrass density are assumed to play an important role in the dynamics and stability of intertidal-coastal ecosystems. However, this feedback relationship has been difficult to study empirically on an ecosystem scale, so that knowledge is mainly based on theoretical models and small-scale (experimental) studies. In this paper we apply a non-recursive structural equation model (SEM) to empirically investigate, at large spatial scale, the mutual dependence between seagrass (Zostera noltii) density and sediment texture, on the pristine, seagrass-dominated, intertidal mudflats of the Banc d'Arguin, Mauritania. The non-recursive SEM allows consistent estimation and testing of a direct feedback between sediment and seagrass whilst statistically controlling for the effects of nutrients and abiotic stress. The resulting model is consistent with the hypothesized negative feedback: grain size decreases with seagrass density, whereas fine grain size has a negative impact on seagrass density because it decreases pore water exchange which leads to hypoxic sediment conditions. Another finding is that seagrass density increases with sediment organic material content up to a threshold level beyond which it levels off. In combination with decreasing grain size, accumulation of organic matter creates hypoxic sediment conditions which lead to the production of toxic hydrogen sulfide which slows down seagrass growth. The negative feedback loop implies that intertidal Z. noltii modifies its own environment, thus controlling its growing conditions. To the best of our knowledge, this study is the first to demonstrate a direct negative feedback relationship in ecosystems by means of a non-recursive SEM.

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Main Authors: Folmer, Eelke O., van der Geest, Matthijs, Jansen, Erik, Olff, Han, Anderson, T.M., Piersma, Theunis, van Gils, Jan A.
Format: Article/Letter to editor biblioteca
Language:English
Subjects:Banc d'Arguin, Mauritania, Zostera noltii, abiotic stress, feedback, intertidal mudflat, remote sensing, sedimentation, simultaneity bias, soft-bottom ecology,
Online Access:https://research.wur.nl/en/publications/seagrass-sediment-feedback-an-exploration-using-a-non-recursive-s
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spelling dig-wur-nl-wurpubs-6079772024-12-04 Folmer, Eelke O. van der Geest, Matthijs Jansen, Erik Olff, Han Anderson, T.M. Piersma, Theunis van Gils, Jan A. Article/Letter to editor Ecosystems 15 (2012) 8 ISSN: 1432-9840 Seagrass-Sediment Feedback : An Exploration Using a Non-recursive Structural Equation Model 2012 The reciprocal effects between sediment texture and seagrass density are assumed to play an important role in the dynamics and stability of intertidal-coastal ecosystems. However, this feedback relationship has been difficult to study empirically on an ecosystem scale, so that knowledge is mainly based on theoretical models and small-scale (experimental) studies. In this paper we apply a non-recursive structural equation model (SEM) to empirically investigate, at large spatial scale, the mutual dependence between seagrass (Zostera noltii) density and sediment texture, on the pristine, seagrass-dominated, intertidal mudflats of the Banc d'Arguin, Mauritania. The non-recursive SEM allows consistent estimation and testing of a direct feedback between sediment and seagrass whilst statistically controlling for the effects of nutrients and abiotic stress. The resulting model is consistent with the hypothesized negative feedback: grain size decreases with seagrass density, whereas fine grain size has a negative impact on seagrass density because it decreases pore water exchange which leads to hypoxic sediment conditions. Another finding is that seagrass density increases with sediment organic material content up to a threshold level beyond which it levels off. In combination with decreasing grain size, accumulation of organic matter creates hypoxic sediment conditions which lead to the production of toxic hydrogen sulfide which slows down seagrass growth. The negative feedback loop implies that intertidal Z. noltii modifies its own environment, thus controlling its growing conditions. To the best of our knowledge, this study is the first to demonstrate a direct negative feedback relationship in ecosystems by means of a non-recursive SEM. en text/html https://research.wur.nl/en/publications/seagrass-sediment-feedback-an-exploration-using-a-non-recursive-s 10.1007/s10021-012-9591-6 https://edepot.wur.nl/584866 Banc d'Arguin Mauritania Zostera noltii abiotic stress feedback intertidal mudflat remote sensing sedimentation simultaneity bias soft-bottom ecology https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic Banc d'Arguin
Mauritania
Zostera noltii
abiotic stress
feedback
intertidal mudflat
remote sensing
sedimentation
simultaneity bias
soft-bottom ecology
Banc d'Arguin
Mauritania
Zostera noltii
abiotic stress
feedback
intertidal mudflat
remote sensing
sedimentation
simultaneity bias
soft-bottom ecology
spellingShingle Banc d'Arguin
Mauritania
Zostera noltii
abiotic stress
feedback
intertidal mudflat
remote sensing
sedimentation
simultaneity bias
soft-bottom ecology
Banc d'Arguin
Mauritania
Zostera noltii
abiotic stress
feedback
intertidal mudflat
remote sensing
sedimentation
simultaneity bias
soft-bottom ecology
Folmer, Eelke O.
van der Geest, Matthijs
Jansen, Erik
Olff, Han
Anderson, T.M.
Piersma, Theunis
van Gils, Jan A.
Seagrass-Sediment Feedback : An Exploration Using a Non-recursive Structural Equation Model
description The reciprocal effects between sediment texture and seagrass density are assumed to play an important role in the dynamics and stability of intertidal-coastal ecosystems. However, this feedback relationship has been difficult to study empirically on an ecosystem scale, so that knowledge is mainly based on theoretical models and small-scale (experimental) studies. In this paper we apply a non-recursive structural equation model (SEM) to empirically investigate, at large spatial scale, the mutual dependence between seagrass (Zostera noltii) density and sediment texture, on the pristine, seagrass-dominated, intertidal mudflats of the Banc d'Arguin, Mauritania. The non-recursive SEM allows consistent estimation and testing of a direct feedback between sediment and seagrass whilst statistically controlling for the effects of nutrients and abiotic stress. The resulting model is consistent with the hypothesized negative feedback: grain size decreases with seagrass density, whereas fine grain size has a negative impact on seagrass density because it decreases pore water exchange which leads to hypoxic sediment conditions. Another finding is that seagrass density increases with sediment organic material content up to a threshold level beyond which it levels off. In combination with decreasing grain size, accumulation of organic matter creates hypoxic sediment conditions which lead to the production of toxic hydrogen sulfide which slows down seagrass growth. The negative feedback loop implies that intertidal Z. noltii modifies its own environment, thus controlling its growing conditions. To the best of our knowledge, this study is the first to demonstrate a direct negative feedback relationship in ecosystems by means of a non-recursive SEM.
format Article/Letter to editor
topic_facet Banc d'Arguin
Mauritania
Zostera noltii
abiotic stress
feedback
intertidal mudflat
remote sensing
sedimentation
simultaneity bias
soft-bottom ecology
author Folmer, Eelke O.
van der Geest, Matthijs
Jansen, Erik
Olff, Han
Anderson, T.M.
Piersma, Theunis
van Gils, Jan A.
author_facet Folmer, Eelke O.
van der Geest, Matthijs
Jansen, Erik
Olff, Han
Anderson, T.M.
Piersma, Theunis
van Gils, Jan A.
author_sort Folmer, Eelke O.
title Seagrass-Sediment Feedback : An Exploration Using a Non-recursive Structural Equation Model
title_short Seagrass-Sediment Feedback : An Exploration Using a Non-recursive Structural Equation Model
title_full Seagrass-Sediment Feedback : An Exploration Using a Non-recursive Structural Equation Model
title_fullStr Seagrass-Sediment Feedback : An Exploration Using a Non-recursive Structural Equation Model
title_full_unstemmed Seagrass-Sediment Feedback : An Exploration Using a Non-recursive Structural Equation Model
title_sort seagrass-sediment feedback : an exploration using a non-recursive structural equation model
url https://research.wur.nl/en/publications/seagrass-sediment-feedback-an-exploration-using-a-non-recursive-s
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