Predicting estuarine benthic production using functional diversity
We considered an estuarine system having naturally low levels of diversity, but attaining considerable high production levels, and being subjected to different sorts of anthropogenic impacts and climate events to investigate the relationship between diversity and secondary production. Functional div...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2014-05-01
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Series: | Frontiers in Marine Science |
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Online Access: | http://journal.frontiersin.org/Journal/10.3389/conf.fmars.2014.02.00092/full |
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author | Marina Dolbeth Marina Dolbeth Sylvain Dolédec |
author_facet | Marina Dolbeth Marina Dolbeth Sylvain Dolédec |
author_sort | Marina Dolbeth |
collection | DOAJ |
description | We considered an estuarine system having naturally low levels of diversity, but attaining considerable high production levels, and being subjected to different sorts of anthropogenic impacts and climate events to investigate the relationship between diversity and secondary production. Functional diversity measures were used to predict benthic production, which is considered as a proxy of the ecosystem provisioning services. To this end, we used a 14-year dataset on benthic invertebrate community production from a seagrass and a sandflat habitat and we adopted a sequential modeling approach, where abiotic, trait community weighted means (CWM) and functional diversity indices were tested by generalized linear models (GLM), and their significant variables were then combined to produce a final model. Almost 90% of variance of the benthic production could be predicted by combining the number of locomotion types, the absolute maximum atmospheric temperature (proxy of the heat waves occurrence), the type of habitat and the mean body mass, by order of importance. This result is in agreement with the mass ratio hypothesis, where ecosystem functions/services can be chiefly predicted by the dominant trait in the community, here measured as CWM. The increase of benthic production with the number of locomotion types may be seen as greater possibility of using the resources available in the system. Such greater efficiency would increase production. The other variables were also discussed in line of the previous hypothesis and taking into account the general positive relationship obtained between production and functional diversity indices. Overall, it was concluded that traits representative of wider possibilities of using available resources and higher functional diversity are related with higher benthic production. |
first_indexed | 2024-12-23T06:29:58Z |
format | Article |
id | doaj.art-39eb162899e046e7aecb6f05c509f666 |
institution | Directory Open Access Journal |
issn | 2296-7745 |
language | English |
last_indexed | 2024-12-23T06:29:58Z |
publishDate | 2014-05-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Marine Science |
spelling | doaj.art-39eb162899e046e7aecb6f05c509f6662022-12-21T17:56:57ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452014-05-01110.3389/conf.fmars.2014.02.00092100207Predicting estuarine benthic production using functional diversityMarina Dolbeth0Marina Dolbeth1Sylvain Dolédec2University of AveiroUniversity of CoimbraUniversité Lyon 1We considered an estuarine system having naturally low levels of diversity, but attaining considerable high production levels, and being subjected to different sorts of anthropogenic impacts and climate events to investigate the relationship between diversity and secondary production. Functional diversity measures were used to predict benthic production, which is considered as a proxy of the ecosystem provisioning services. To this end, we used a 14-year dataset on benthic invertebrate community production from a seagrass and a sandflat habitat and we adopted a sequential modeling approach, where abiotic, trait community weighted means (CWM) and functional diversity indices were tested by generalized linear models (GLM), and their significant variables were then combined to produce a final model. Almost 90% of variance of the benthic production could be predicted by combining the number of locomotion types, the absolute maximum atmospheric temperature (proxy of the heat waves occurrence), the type of habitat and the mean body mass, by order of importance. This result is in agreement with the mass ratio hypothesis, where ecosystem functions/services can be chiefly predicted by the dominant trait in the community, here measured as CWM. The increase of benthic production with the number of locomotion types may be seen as greater possibility of using the resources available in the system. Such greater efficiency would increase production. The other variables were also discussed in line of the previous hypothesis and taking into account the general positive relationship obtained between production and functional diversity indices. Overall, it was concluded that traits representative of wider possibilities of using available resources and higher functional diversity are related with higher benthic production.http://journal.frontiersin.org/Journal/10.3389/conf.fmars.2014.02.00092/fullfunctional diversityEstuariesecosystem servicesbenthic communitiesSecondary Production |
spellingShingle | Marina Dolbeth Marina Dolbeth Sylvain Dolédec Predicting estuarine benthic production using functional diversity Frontiers in Marine Science functional diversity Estuaries ecosystem services benthic communities Secondary Production |
title | Predicting estuarine benthic production using functional diversity |
title_full | Predicting estuarine benthic production using functional diversity |
title_fullStr | Predicting estuarine benthic production using functional diversity |
title_full_unstemmed | Predicting estuarine benthic production using functional diversity |
title_short | Predicting estuarine benthic production using functional diversity |
title_sort | predicting estuarine benthic production using functional diversity |
topic | functional diversity Estuaries ecosystem services benthic communities Secondary Production |
url | http://journal.frontiersin.org/Journal/10.3389/conf.fmars.2014.02.00092/full |
work_keys_str_mv | AT marinadolbeth predictingestuarinebenthicproductionusingfunctionaldiversity AT marinadolbeth predictingestuarinebenthicproductionusingfunctionaldiversity AT sylvaindoledec predictingestuarinebenthicproductionusingfunctionaldiversity |