Unravelling mechanisms behind population dynamics, biological traits and latitudinal distribution in two benthic ecosystem engineers : a modelling approach
The mechanistic approach consisting of coupling Dynamic Energy Budget (DEB) models to Individual-Based Models (IBMs) allows simulating individual and population biological traits and their dynamics. This approach was developed here to study population dynamics of two sympatric intertidal ecosystem e...
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ftird:oai:ird.fr:fdi:010088683 2024-09-15T18:24:41+00:00 Unravelling mechanisms behind population dynamics, biological traits and latitudinal distribution in two benthic ecosystem engineers : a modelling approach /De Cubber, Lola Lefebvre, S. Lancelot, T. Jorge, D. S. F. Gaudron, S. M. ATLANTIQUE 2023 https://www.documentation.ird.fr/hor/fdi:010088683 EN eng https://www.documentation.ird.fr/hor/fdi:010088683 oai:ird.fr:fdi:010088683 De Cubber Lola, Lefebvre S., Lancelot T., Jorge D. S. F., Gaudron S. M. Unravelling mechanisms behind population dynamics, biological traits and latitudinal distribution in two benthic ecosystem engineers : a modelling approach. 2023, 219, p. 103154 [20 p.] Dynamic Energy Budget model Individual-Based model Arenicola marina Arenicola defodiens North-east atlantic text 2023 ftird 2024-08-15T05:57:46Z The mechanistic approach consisting of coupling Dynamic Energy Budget (DEB) models to Individual-Based Models (IBMs) allows simulating individual and population biological traits and their dynamics. This approach was developed here to study population dynamics of two sympatric intertidal ecosystem engineers, Arenicola marina and Arenicola defodiens (Annelida Polychaeta) occurring in the North-East Atlantic from Portugal to Sweden. Latitudinal heterogeneity of the two species' performances were investigated in terms of population dynamics and biological traits using latitudinal differences in environmental forcing variables. The impact of the forcing variables on population dynamics processes (shore colonisation and migration, spawning and recruitment, etc.) within a specific foreshore (mean values and seasonal patterns) was also assessed. Published DEB parameters were used for A. marina and a specific calibration was undertaken for A. defodiens, combining literature data and new laboratory experiments and field data. Our DEB-IBM simulated super-individuals' growth and reproduction while lugworms were colonising, migrating and dying over a simulated foreshore. Density rules affected population dynamics. Environmental forcings consisted in monthly values of chlorophyll a (chl-a) concentrations and daily values of SST. Scenarios focusing on the two most contrasted of these forcing variables time series were used to explore their relative effects over populations' dynamics and onshore processes were investigated at two sites displaying highly different simulated population abundances. Overall, northern sites with higher chl-a levels performed better displaying higher biomass, maximum length and reproductive outputs for both species. As expected, Sea Surface Temperature (SST) changes between sites did not impact greatly populations dynamics. Under favourable environmental conditions, intra-and inter specific competitions emerged from the model. Under non-favourable environmental conditions, A. defodiens' populations ... Text North East Atlantic IRD (Institute de recherche pour le développement): Horizon |
institution |
Open Polar |
collection |
IRD (Institute de recherche pour le développement): Horizon |
op_collection_id |
ftird |
language |
English |
topic |
Dynamic Energy Budget model Individual-Based model Arenicola marina Arenicola defodiens North-east atlantic |
spellingShingle |
Dynamic Energy Budget model Individual-Based model Arenicola marina Arenicola defodiens North-east atlantic /De Cubber, Lola Lefebvre, S. Lancelot, T. Jorge, D. S. F. Gaudron, S. M. Unravelling mechanisms behind population dynamics, biological traits and latitudinal distribution in two benthic ecosystem engineers : a modelling approach |
topic_facet |
Dynamic Energy Budget model Individual-Based model Arenicola marina Arenicola defodiens North-east atlantic |
description |
The mechanistic approach consisting of coupling Dynamic Energy Budget (DEB) models to Individual-Based Models (IBMs) allows simulating individual and population biological traits and their dynamics. This approach was developed here to study population dynamics of two sympatric intertidal ecosystem engineers, Arenicola marina and Arenicola defodiens (Annelida Polychaeta) occurring in the North-East Atlantic from Portugal to Sweden. Latitudinal heterogeneity of the two species' performances were investigated in terms of population dynamics and biological traits using latitudinal differences in environmental forcing variables. The impact of the forcing variables on population dynamics processes (shore colonisation and migration, spawning and recruitment, etc.) within a specific foreshore (mean values and seasonal patterns) was also assessed. Published DEB parameters were used for A. marina and a specific calibration was undertaken for A. defodiens, combining literature data and new laboratory experiments and field data. Our DEB-IBM simulated super-individuals' growth and reproduction while lugworms were colonising, migrating and dying over a simulated foreshore. Density rules affected population dynamics. Environmental forcings consisted in monthly values of chlorophyll a (chl-a) concentrations and daily values of SST. Scenarios focusing on the two most contrasted of these forcing variables time series were used to explore their relative effects over populations' dynamics and onshore processes were investigated at two sites displaying highly different simulated population abundances. Overall, northern sites with higher chl-a levels performed better displaying higher biomass, maximum length and reproductive outputs for both species. As expected, Sea Surface Temperature (SST) changes between sites did not impact greatly populations dynamics. Under favourable environmental conditions, intra-and inter specific competitions emerged from the model. Under non-favourable environmental conditions, A. defodiens' populations ... |
format |
Text |
author |
/De Cubber, Lola Lefebvre, S. Lancelot, T. Jorge, D. S. F. Gaudron, S. M. |
author_facet |
/De Cubber, Lola Lefebvre, S. Lancelot, T. Jorge, D. S. F. Gaudron, S. M. |
author_sort |
/De Cubber, Lola |
title |
Unravelling mechanisms behind population dynamics, biological traits and latitudinal distribution in two benthic ecosystem engineers : a modelling approach |
title_short |
Unravelling mechanisms behind population dynamics, biological traits and latitudinal distribution in two benthic ecosystem engineers : a modelling approach |
title_full |
Unravelling mechanisms behind population dynamics, biological traits and latitudinal distribution in two benthic ecosystem engineers : a modelling approach |
title_fullStr |
Unravelling mechanisms behind population dynamics, biological traits and latitudinal distribution in two benthic ecosystem engineers : a modelling approach |
title_full_unstemmed |
Unravelling mechanisms behind population dynamics, biological traits and latitudinal distribution in two benthic ecosystem engineers : a modelling approach |
title_sort |
unravelling mechanisms behind population dynamics, biological traits and latitudinal distribution in two benthic ecosystem engineers : a modelling approach |
publishDate |
2023 |
url |
https://www.documentation.ird.fr/hor/fdi:010088683 |
op_coverage |
ATLANTIQUE |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_relation |
https://www.documentation.ird.fr/hor/fdi:010088683 oai:ird.fr:fdi:010088683 De Cubber Lola, Lefebvre S., Lancelot T., Jorge D. S. F., Gaudron S. M. Unravelling mechanisms behind population dynamics, biological traits and latitudinal distribution in two benthic ecosystem engineers : a modelling approach. 2023, 219, p. 103154 [20 p.] |
_version_ |
1810465097867329536 |