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Dash S, Kalamdhad AS. Systematic bibliographic research on eutrophication-based ecological modelling of aquatic ecosystems through the lens of science mapping. Ecol Modell 2022. [DOI: 10.1016/j.ecolmodel.2022.110080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Zhou ZX, Yu RC, Zhou MJ. Seasonal succession of microalgal blooms from diatoms to dinoflagellates in the East China Sea: A numerical simulation study. Ecol Modell 2017. [DOI: 10.1016/j.ecolmodel.2017.06.027] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Zupo V, Alexander TJ, Edgar GJ. Relating trophic resources to community structure: a predictive index of food availability. ROYAL SOCIETY OPEN SCIENCE 2017; 4:160515. [PMID: 28386417 PMCID: PMC5367299 DOI: 10.1098/rsos.160515] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Accepted: 01/10/2017] [Indexed: 06/07/2023]
Abstract
The abundance and the distribution of trophic resources available for consumers influence the productivity and the diversity of natural communities. Nevertheless, assessment of the actual abundance of food items available for individual trophic groups has been constrained by differences in methods and metrics used by various authors. Here we develop an index of food abundance, the framework of which can be adapted for different ecosystems. The relative available food index (RAFI) is computed by considering standard resource conditions of a habitat and the influence of various generalized anthropogenic and natural factors. RAFI was developed using published literature on food abundance and validated by comparison of predictions versus observed trophic resources across various marine sites. RAFI tables here proposed can be applied to a range of marine ecosystems for predictions of the potential abundance of food available for each trophic group, hence permitting exploration of ecological theories by focusing on the deviation from the observed to the expected.
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Affiliation(s)
- Valerio Zupo
- Stazione Zoologica Anton Dohrn,
Integrative Marine Ecology Department, Benthic Ecology
Center, Punta San Pietro,
Ischia80077, Italy
| | - Timothy J. Alexander
- Department of Fish Ecology and Evolution, Centre
of Ecology, Evolution and Biogeochemistry, EAWAG Swiss
Federal Institute of Aquatic Science and Technology,
Seestrasse 79, Kastanienbaum 6047,
Switzerland
- Division of Aquatic Ecology and Evolution,
Institute of Ecology and Evolution, University of
Bern, Baltzerstrasse 6, Bern 3012,
Switzerland
| | - Graham J. Edgar
- Institute for Marine and Antarctic
Studies, University of Tasmania,
GPO Box 252-49, Hobart, Tasmania 7001,
Australia
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Pereira A, Duarte P, Norro A. Different modelling tools of aquatic ecosystems: A proposal for a unified approach. ECOL INFORM 2006. [DOI: 10.1016/j.ecoinf.2006.09.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Fulton EA, Smith AD, Johnson CR. Effects of spatial resolution on the performance and interpretation of marine ecosystem models. Ecol Modell 2004. [DOI: 10.1016/j.ecolmodel.2003.10.026] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Fulton EA, Parslow JS, Smith AD, Johnson CR. Biogeochemical marine ecosystem models II: the effect of physiological detail on model performance. Ecol Modell 2004. [DOI: 10.1016/j.ecolmodel.2003.09.024] [Citation(s) in RCA: 138] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Fulton EA, Smith AD, Johnson CR. Mortality and predation in ecosystem models: is it important how these are expressed? Ecol Modell 2003. [DOI: 10.1016/s0304-3800(03)00268-0] [Citation(s) in RCA: 77] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Bujan S, Grenz C, Fichez R, Douillet P. [Seasonal evolution of the biogeochemical cycle in the southwest lagoon of New Caledonia. Application of a compartmental model]. COMPTES RENDUS DE L'ACADEMIE DES SCIENCES. SERIE III, SCIENCES DE LA VIE 2000; 323:225-33. [PMID: 10763441 DOI: 10.1016/s0764-4469(00)00130-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
A biogeochemical box model describing the south-west lagoon of New-Caledonia was developed in order to simulate the seasonal cycle of carbon and nitrogen. We used fluxes generated by a 3D hydrodynamic model to simulate horizontal exchanges between boxes and added freshwater influxes as nitrogen sources from the land. Average residence time proved to be less than 11 days for the lagoon as a whole. Standard simulations showed baseline values of chlorophyll a between 0.2 and 0.4 microgram.L-1. Influences of freshwater influxes proved to be significant (increases up to 1 microgram.L-1) only in shallow areas protected from wind exposure and during short periods of heavy rainfall (tropical depressions). Tropical climatic events have reduced impact in space and time and long-term simulations over decades with increased nutrient inputs did not show any significant process of eutrophication. Hydrodynamics seemed to be one of the major control factors with respect to organic matter cycling in the lagoon.
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Affiliation(s)
- S Bujan
- Centre d'océanologie de Marseille, France
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Abstract
Predictions of water quality involve the modelling both of physical processes, which underlie the transport and diffusion of all constituents, and of the sources, sinks, partitioning and interactive processes individual to those constituents. These processes are outlined, together with complementary modelling approaches: (i) development of sophisticated three-dimensional models to represent the physics, and sub-models of suspended sediment, microbiology and metal interactions for processes controlling nutrients, dissolved oxygen, phytoplankton, detritus and metals; (ii) a framework to link these component models; (iii) an accessible model with simpler physics for wide use in simulating constituent distributions, for comparison with measurements to infer sources, sinks and interactions. The North Sea Project measurements provide an input in process evaluation, and data to test the models.
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The mesoscale variability of nutrients and plankton as seen in a coupled model. ACTA ACUST UNITED AC 1996. [DOI: 10.1007/bf02794052] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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The use of models in eutrophication studies. ACTA ACUST UNITED AC 1996. [DOI: 10.1029/ce052p0221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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Tett P, Walne A. Observations and simulations of hydrography, nutrients and plankton in the southern North Sea. ACTA ACUST UNITED AC 1995. [DOI: 10.1080/00785326.1995.10431514] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Varela RA, Cruzado A, Gabaldón JE. Modelling primary production in the North Sea using the European Regional Seas Ecosystem Model. ACTA ACUST UNITED AC 1995. [DOI: 10.1016/0077-7579(95)90052-7] [Citation(s) in RCA: 49] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Baretta J, Ebenhöh W, Ruardij P. The European regional seas ecosystem model, a complex marine ecosystem model. ACTA ACUST UNITED AC 1995. [DOI: 10.1016/0077-7579(95)90047-0] [Citation(s) in RCA: 311] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Broekhuizen N, Heath M, Hay S, Gurney W. Modelling the dynamics of the North Sea's Mesozooplankton. ACTA ACUST UNITED AC 1995. [DOI: 10.1016/0077-7579(95)90054-3] [Citation(s) in RCA: 74] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Lenhart HJ, Radach G, Backhaus JO, Pohlmann T. Simulations of the north sea circulation, its variability, and its implementation as hydrodynamical forcing in ERSEM. ACTA ACUST UNITED AC 1995. [DOI: 10.1016/0077-7579(95)90050-0] [Citation(s) in RCA: 51] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Baretta J, Ruardij P, Vested H, Baretta-Bekker J. Eutrophication modelling of the North Sea: two different approaches. Ecol Modell 1994. [DOI: 10.1016/0304-3800(94)90041-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Riegman R, Kuipers BR, Noordeloos AA, Witte HJ. Size-differential control of phytoplankton and the structure of plankton communities. ACTA ACUST UNITED AC 1993. [DOI: 10.1016/0077-7579(93)90026-o] [Citation(s) in RCA: 132] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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