Inferring time-variable effects of nutrient enrichment on marine ecosystems using inverse modelling and ecological network analysis

Luong, Anh D.; Laender, Frederik De; Ôlsen, Yngvar; Vadstein, Ôlav; Dewulf, Jo; Janssen, Colin R.

doi:10.1016/j.scitotenv.2014.06.027

Cited by 15 publications

(14 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, an ecosystem that shifts from high Detritivory to low Detritivory is less dependent on Detritus (Fig. 2), and more dependent on plant material (phanerogams and/or algae) for the transfer of energy from level I to level II (Luong et al, 2014).…”

Section: Detritivory/herbivory (D/h) 3211 Description Of the Indexmentioning

confidence: 99%

“…High D/H values reflect an ecosystem where detritus plays an important role in the medium recycling such as carbon recycling, while low D/H reflects an ecosystem where primary producers (phytoplankton and/or algae) play a vital role as food for the second level (Luong et al, 2014;Chrystal and Scharler, 2014, de Jonge et al, accepted A). An increase in the D/H ratio indicates a shift to a more detritus-based food web.…”

Section: What Are the Implications Of Varying D/h For Food Web Status?mentioning

confidence: 99%

“…Simulation results showed that the carbon recycling (FCI) and the system omnivory (SOI) indices as well as the Detritivory/Herbivory ratio (D/H) increased after the construction of the offshore wind farm (Raoux et al, 2017). Luong et al, (2014) assessed the effects of continuous nutrient additions on the structural and functional dynamics of a marine planktonic ecosystem combining data from mesocosm experiments with carbon budget modelling and ENA indices. Increasing nutrient additions showed a food web restructuring with a decrease in TE as the food web efficiency was reduced implying that more net primary production was required to produce the same biomass of copepods.…”

Section: Harbour Construction and Offshore Wind Farm: Building Hard Structures At Seamentioning

confidence: 99%

See 2 more Smart Citations

Vitamine ENA: A framework for the development of ecosystem-based indicators for decision makers

Safi

Giebels

Arroyo

et al. 2019

Ocean & Coastal Management

View full text Add to dashboard Cite

The Water Framework Directive (article 2, paragraph 21) as well as the Marine Strategy Framework Directive (MSFD, Descriptor 4) stress the need for assessing the quality of the structure and the functioning of ecosystems. The MSFD also underlines the urgent need for development, testing, and validation of ecosystem state indicators. Holistic function-based criteria and indicators as provided by Ecological Network Analysis (ENA) could be used to define and assess the 'Good Environmental Status' of marine ecosystems. This approach also feeds Ecosystem Based Management (EBM). ENA generally analyses the fluxes' quality of a single medium such as here the carbon fluxes in a food web and produces a number of useful metrics that indicate, inter alia, the total carbon flow through the system, the quality of the functioning of the system or the trophic efficiency of system. A short list of indices [i.e. Detritivory over Herbivory ratio (D/H), Connectance Index (CI), Transfer Efficiency (TE) over trophic levels, System Omnivory Index (SOI), Finn's Cycling Index (FCI), relative Redundancy (R/DC), Average Mutual Information (AMI) and Interaction Strength (IS)] is proposed for practical use. This paper presents a first framework for OSPAR Regional Sea Convention food web indicators based on ENA. These are presented here focusing on their applicability and what is needed for implementation, illustrating their potential use by case studies.

show abstract

Section: Detritivory/herbivory (D/h) 3211 Description Of the Indexmentioning

confidence: 99%

Section: What Are the Implications Of Varying D/h For Food Web Status?mentioning

confidence: 99%

Section: Harbour Construction and Offshore Wind Farm: Building Hard Structures At Seamentioning

confidence: 99%

See 1 more Smart Citation

Vitamine ENA: A framework for the development of ecosystem-based indicators for decision makers

Safi

Giebels

Arroyo

et al. 2019

Ocean & Coastal Management

View full text Add to dashboard Cite

show abstract

“…the possible use of cultivated herbivorous to limit the phytoplankton proliferation (Fulford et al, 2007;Cerco et al, 2010). This is a very applied form of the more general question about the modifications of the entire foodweb by the eutrophication process (Doi and Nitta, 1991;Lancelot et al, 2002;Barausse et al, 2009;Townsend, 2014;Luang et al, 2014). Very few models have investigated the possible interactions of eutrophication and toxic pollutants (Legovic, 1997;Driscoll et al, 2012).…”

Section: Aims Of the Modelling Approachmentioning

confidence: 99%

Modelling the marine eutrophication: A review

Ménesguen¹,

Lacroix²

2018

Science of The Total Environment

View full text Add to dashboard Cite

In the frame of a national, joint scientific appraisal, 45 scientific French-speaking experts have been mandated in 2015-2016 by the French ministries of Environment and Agriculture to perform a global review of scientific literature dealing with the eutrophication phenomenon, in freshwater as well as in marine waters. This paper summarizes the main results of this review restricted to a sub-domain, the modelling approach of the marine eutrophication. After recalling the different aims pursued, an overview is given on the historical time course of this modelling effort, its world distribution and the various tools used. Then, the main results obtained are examined, highlighting the specific strengths and weaknesses of the present models. Needs for future improvement are then listed.

show abstract

“…It enables estimating elemental budgets and reconstructing otherwise notoriously difficult to measure trophic flows between living compartments, using the relatively easy to measure biomasses of these compartments; a set of measured flows (e.g., primary production and respiration), food web topology, and biologically meaningful constraints on the trophic flows (De Laender et al, 2010). The methodology has been used to quantify planktonic food web flows in natural and experimental systems (Vézina et al, 2000;Olsen et al, 2006;Luong et al, 2014), has been used to track biogenic carbon flow in the Arctic (Vézina et al, 2000;Forest et al, 2011;Vernet et al, 2017), and last but not least, is coded in open source software (LIM library of the R software) with good explanatory texts (Soetaert and van Oevelen, 2009;van Oevelen et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Food Web Functions and Interactions During Spring and Summer in the Arctic Water Inflow Region: Investigated Through Inverse Modeling

et al. 2019

View full text Add to dashboard Cite

We used inverse modeling to reconstruct major planktonic food web carbon flows in the Atlantic Water inflow, east and north of Svalbard during spring (18-25 May) and summer (9-13 August), 2014. The model was based on three intensively sampled stations during both periods, corresponding to early, peak, and decline phases of a Phaeocystis and diatom dominated bloom (May), and flagellates dominated post bloom stages (August). The food web carbon flows were driven by primary production (290-2,850 mg C m −2 d −1 ), which was channeled through a network of planktonic compartments, and ultimately respired (180-1200 mg C m 2 d −1 ), settled out of the euphotic zone as organic particles (145-530 mg C m −2 d −1 ), or accumulated in the water column in various organic pools. The accumulation of dissolved organic carbon was intense (1070 mg C m −2 d −1 ) during the early bloom stage, slowed down during the bloom peak (400 mg C m −2 d −1 ), and remained low during the rest of the season. The heterotrophic bacteria responded swiftly to the massive release of new DOC by high but decreasing carbon assimilation rates (from 534 to 330 mg C m −2 d −1 ) in May. The net bacterial production was low during the early and peak bloom (26-31 mg C m −2 d −1 ) but increased in the late and post bloom phases (>50 mg C m −2 d −1 ). The heterotrophic nanoflagellates did not respond predictably to the different bloom phases, with relatively modest carbon uptake, 30-170 mg C m 2 d −1 . In contrast, microzooplankton increased food intake from 160 to 380 mg C m 2 d −1 during the buildup and decline phases, and highly variable carbon intake 46-624 mg C m 2 d −1 , during post bloom phases. Mesozooplankton had an initially high but decreasing carbon uptake in May (220-48 mg C m −2 d −1 ), followed by highly variable carbon Frontiers in Marine Science | www.frontiersin.org 1 May 2019 | Volume 6 | Article 244Olli et al.Arctic Food Web Carbon Flow consumption during the post bloom stages (40-190 mg C m −2 d −1 ). Both, micro-and mesozooplankton shifted from almost pure herbivory (92-97% of total food intake) during the early bloom phase to an herbivorous, detritovorous and carnivorous mixed diet as the season progressed. Our results indicate a temporal decoupling between the microbial and zooplankton dominated heterotrophic carbon flows during the course of the bloom in a highly productive Atlantic gateway to the Arctic Ocean.

show abstract

Inferring time-variable effects of nutrient enrichment on marine ecosystems using inverse modelling and ecological network analysis

Cited by 15 publications

References 69 publications

Vitamine ENA: A framework for the development of ecosystem-based indicators for decision makers

Vitamine ENA: A framework for the development of ecosystem-based indicators for decision makers

Modelling the marine eutrophication: A review

Food Web Functions and Interactions During Spring and Summer in the Arctic Water Inflow Region: Investigated Through Inverse Modeling

Contact Info

Product

Resources

About