1
|
Marine viruses and climate change: Virioplankton, the carbon cycle, and our future ocean. Adv Virus Res 2022. [DOI: 10.1016/bs.aivir.2022.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
|
2
|
Kwon YS, Kang HW, Polimene L, Rhee TS. A marine carbon monoxide (CO) model with a new parameterization of microbial oxidation. Ecol Modell 2020. [DOI: 10.1016/j.ecolmodel.2020.109203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
3
|
Ganju NK, Brush MJ, Rashleigh B, Aretxabaleta AL, Del Barrio P, Grear JS, Harris LA, Lake SJ, McCardell G, O'Donnell J, Ralston DK, Signell RP, Testa JM, Vaudrey JMP. Progress and challenges in coupled hydrodynamic-ecological estuarine modeling. ESTUARIES AND COASTS : JOURNAL OF THE ESTUARINE RESEARCH FEDERATION 2016; 39:311-332. [PMID: 27721675 PMCID: PMC5053394 DOI: 10.1007/s12237-015-0011-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Numerical modeling has emerged over the last several decades as a widely accepted tool for investigations in environmental sciences. In estuarine research, hydrodynamic and ecological models have moved along parallel tracks with regard to complexity, refinement, computational power, and incorporation of uncertainty. Coupled hydrodynamic-ecological models have been used to assess ecosystem processes and interactions, simulate future scenarios, and evaluate remedial actions in response to eutrophication, habitat loss, and freshwater diversion. The need to couple hydrodynamic and ecological models to address research and management questions is clear, because dynamic feedbacks between biotic and physical processes are critical interactions within ecosystems. In this review we present historical and modern perspectives on estuarine hydrodynamic and ecological modeling, consider model limitations, and address aspects of model linkage, skill assessment, and complexity. We discuss the balance between spatial and temporal resolution and present examples using different spatiotemporal scales. Finally, we recommend future lines of inquiry, approaches to balance complexity and uncertainty, and model transparency and utility. It is idealistic to think we can pursue a "theory of everything" for estuarine models, but recent advances suggest that models for both scientific investigations and management applications will continue to improve in terms of realism, precision, and accuracy.
Collapse
Affiliation(s)
| | - Mark J Brush
- Virginia Institute of Marine Science, Gloucester Point, VA
| | | | | | | | - Jason S Grear
- U.S. Environmental Protection Agency, Narragansett, RI
| | - Lora A Harris
- University of Maryland, Chesapeake Biological Laboratory, Solomons, MD
| | - Samuel J Lake
- Virginia Institute of Marine Science, Gloucester Point, VA
| | | | | | | | | | - Jeremy M Testa
- University of Maryland, Chesapeake Biological Laboratory, Solomons, MD
| | | |
Collapse
|
4
|
Interannual variability of the phytoplankton community by the changes in vertical mixing and atmospheric deposition in the Ulleung Basin, East Sea: A modelling study. Ecol Modell 2016. [DOI: 10.1016/j.ecolmodel.2015.11.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|
5
|
Bauer B, Vos M, Klauschies T, Gaedke U. Diversity, functional similarity, and top-down control drive synchronization and the reliability of ecosystem function. Am Nat 2014; 183:394-409. [PMID: 24561602 DOI: 10.1086/674906] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The concept that diversity promotes reliability of ecosystem function depends on the pattern that community-level biomass shows lower temporal variability than species-level biomasses. However, this pattern is not universal, as it relies on compensatory or independent species dynamics. When in contrast within-trophic level synchronization occurs, variability of community biomass will approach population-level variability. Current knowledge fails to integrate how species richness, functional distance between species, and the relative importance of predation and competition combine to drive synchronization at different trophic levels. Here we clarify these mechanisms. Intense competition promotes compensatory dynamics in prey, but predators may at the same time increasingly synchronize, under increasing species richness and functional similarity. In contrast, predators and prey both show perfect synchronization under strong top-down control, which is promoted by a combination of low functional distance and high net growth potential of predators. Under such conditions, community-level biomass variability peaks, with major negative consequences for reliability of ecosystem function.
Collapse
Affiliation(s)
- Barbara Bauer
- Department of Ecology and Ecosystem Modeling, Institute for Biochemistry and Biology, University of Potsdam, Am Neuen Palais 10, D-14469 Potsdam, Germany
| | | | | | | |
Collapse
|
6
|
Khemakhem H, Elloumi J, Ayadi H, Aleya L, Moussa M. Modelling the phytoplankton dynamics in a nutrient-rich solar saltern pond: predicting the impact of restoration and climate change. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2013; 20:9057-9065. [PMID: 23797709 DOI: 10.1007/s11356-013-1936-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2012] [Accepted: 06/12/2013] [Indexed: 06/02/2023]
Abstract
An ecological model for the solar saltern of Sfax (Tunisia) was established and validated by comparing simulation results to observed data relative to horizontal distributions of temperature, nutrients and phytoplankton biomass. Sensitivity analysis was performed in order to assess the influence of the main ecological model parameters. First applied at the saltern's pond A1, the model was calibrated with field data measured over 4 years of study (from 2000 to 2003), which allowed an evaluation of parameters such as maximum growth rate of phytoplankton, optimal growth temperature and constant of half saturation for P/N assimilation by phytoplankton. Simulation results showed that the model allowed us to predict realistic phytoplankton variations of the study area, though we were unable to accurately reproduce the nutrient variation. The model was then applied to simulations of the impact of changes in phytoplankton biomass through scenarios such as hypothetic climate changes and saltern restoration.
Collapse
|
7
|
Allen JI, Blackford J, Holt J, Proctor R, Ashworth M, Siddorn J. A highly spatially resolved ecosystem model for the North West European Continental Shelf. ACTA ACUST UNITED AC 2012. [DOI: 10.1080/00364827.2001.10420484] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
8
|
Tirok K, Gaedke U. Internally driven alternation of functional traits in a multispecies predator-prey system. Ecology 2010; 91:1748-62. [PMID: 20583716 DOI: 10.1890/09-1052.1] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The individual functional traits of different species play a key role for ecosystem function in aquatic and terrestrial systems. We modeled a multispecies predator-prey system with functionally different predator and prey species based on observations of the community dynamics of ciliates and their algal prey in Lake Constance. The model accounted for differences in predator feeding preferences and prey susceptibility to predation, and for the respective trade-offs. A low food demand of the predator was connected to a high food selectivity, and a high growth rate of the prey was connected to a high vulnerability to grazing. The data and the model did not show standard uniform predator-prey cycles, but revealed both complex dynamics and a coexistence of predator and prey at high biomass levels. These dynamics resulted from internally driven alternations in species densities and involved compensatory dynamics between functionally different species. Functional diversity allowed for ongoing adaptation of the predator and prey communities to changing environmental conditions such as food composition and grazing pressure. The trade-offs determined whether compensatory or synchronous dynamics occurred which influence the variability at the community level. Compensatory dynamics were promoted by a joint carrying capacity linking the different prey species which is particularly relevant at high prey biomasses, i.e., when grazers are less efficient. In contrast, synchronization was enhanced by the coupling of the different predator and prey species via common feeding links, e.g., by a high grazing pressure of a nonselective predator. The communities had to be functionally diverse in terms of their trade-offs and their traits to yield compensatory dynamics. Rather similar predator species tended to cycle synchronously, whereas profoundly different species did not coexist. Compensatory dynamics at the community level thus required intermediately strong tradeoffs for functional traits in both predators and their prey.
Collapse
Affiliation(s)
- Katrin Tirok
- University of Potsdam, Institute of Biochemistry and Biology, Am Neuen Palais 10, 14469 Potsdam, Germany.
| | | |
Collapse
|
9
|
Brush MJ, Harris LA. Introduction to the special issue of Ecological Modelling: “Advances in Modeling Estuarine and Coastal Ecosystems: Approaches, Validation, and Applications”. Ecol Modell 2010. [DOI: 10.1016/j.ecolmodel.2010.01.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|
10
|
Modelling the temperature and the phytoplankton distributions at the Aveiro near coastal zone, Portugal. Ecol Modell 2009. [DOI: 10.1016/j.ecolmodel.2008.11.024] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
11
|
Kohlmeier C, Ebenhöh W. Mass conserving modelling of aquatic ecosystems with a variable tide level—Why extrapolation from point tracers is inadmissible and how to solve the problem with a semi-Lagrangian approach. Ecol Modell 2007. [DOI: 10.1016/j.ecolmodel.2007.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
12
|
Kohlmeier C, Ebenhöh W. Modelling the ecosystem dynamics and nutrient cycling of the Spiekeroog back barrier system with a coupled Euler–Lagrange model on the base of ERSEM. Ecol Modell 2007. [DOI: 10.1016/j.ecolmodel.2006.10.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
13
|
Bloom dynamics in a seasonally forced phytoplankton–zooplankton model: Trigger mechanisms and timing effects. ECOLOGICAL COMPLEXITY 2006. [DOI: 10.1016/j.ecocom.2005.11.001] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
14
|
|
15
|
|
16
|
Fulton EA, Smith AD, Johnson CR. Biogeochemical marine ecosystem models I: IGBEM—a model of marine bay ecosystems. Ecol Modell 2004. [DOI: 10.1016/j.ecolmodel.2003.09.027] [Citation(s) in RCA: 87] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
17
|
Lenhart HJ. Effects of river nutrient load reduction on the eutrophication of the North Sea, simulated with the ecosystem model ERSEM. ACTA ACUST UNITED AC 2001. [DOI: 10.1007/bf03043038] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
18
|
George T, George P, Costas D, Theodorou A. Assessing marine ecosystem response to nutrient inputs. MARINE POLLUTION BULLETIN 2001; 43:175-186. [PMID: 11760184 DOI: 10.1016/s0025-326x(01)00071-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The response of the Pagasitikos Gulf to enrichment caused by run-off fertilizers and the development and evolution of harmful algal blooms is investigated through ecosystem modelling. A standard generic complex model has been developed to describe the ecosystem processes of Pagasitikos and has been validated with in situ data. Additionally external nutrient fluxes have been assimilated and incorporated into the ecosystem dynamics. The investigation of spatial effects due to nutrient enrichment is investigated along a North-South transect. When externally forced the model successfully assimilates the external river inputs producing nutrient and chlorophyll-a concentrations, which are in good agreement with the in situ data. The nutrient inputs result in a more stable ecosystem at the north part of the Gulf and in the development of eutrophic conditions. The changes in the ecosystem functioning with emphasis on the nutrient cycling, the increase of primary production, and the modes of operation are investigated and discussed.
Collapse
Affiliation(s)
- T George
- Institute of Marine Biology of Crete, Iraklio, Greece.
| | | | | | | |
Collapse
|
19
|
Oguz T, Ducklow HW, Purcell JE, Malanotte-Rizzoli P. Modeling the response of top-down control exerted by gelatinous carnivores on the Black Sea pelagic food web. ACTA ACUST UNITED AC 2001. [DOI: 10.1029/1999jc000078] [Citation(s) in RCA: 56] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|
20
|
Semovski S. The Baltic Sea and Lake Baikal underwater bio-optical fields simulation using ecodynamical model. Ecol Modell 1999. [DOI: 10.1016/s0304-3800(98)00171-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|
21
|
Tong S, Nygaard K, Bernard C, Vørs N, Patterson D. Heterotrophic flagellates from the water column in Port Jackson, Sydney, Australia. Eur J Protistol 1998. [DOI: 10.1016/s0932-4739(98)80027-8] [Citation(s) in RCA: 52] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
22
|
|
23
|
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]
|
24
|
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]
|
25
|
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]
|