scholarly journals Recent Trends in the Development of Ecological Models Applied on Aquatic Ecosystems

2002 ◽  
Vol 2 ◽  
pp. 387-406 ◽  
Author(s):  
S.E. Jorgensen

This paper presents an overview of the application of models on aquatic ecosystems. More than 17% of the models published in the focal journal in the field, Ecological Modelling, are aquatic ecosystem models. An increasing number of papers are dealing with the theoretical aspects of modeling – new modeling approaches and techniques, how models can be used to reveal ecosystem properties, and how models can better reflect the properties of ecosystems. This development implies that today we have more types of models. The characteristics, the advantages, and the disadvantages of these model types are presented briefly. The selection criteria for the presented model types are discussed, and the application of these types to models for aquatic ecosystems is reviewed. A recent improvement in model calibration of particular interest for aquatic ecosystems is presented, and the perspectives resulting from this new calibration procedure and from possible hybrids of the presented model types are discussed.

2020 ◽  
Vol 71 (1) ◽  
pp. 46 ◽  
Author(s):  
Rebecca E. Lester

Using ecological-response models to understand and improve management of aquatic ecosystems is increasingly common. However, there are many questions about reliability and utility that can make the use of ecological modelling fraught. One critical question is how ecological-response models translate to what happens in practice. Many models purport to improve management by simulating ecological response to changing conditions. This suggests that tangible benefits (e.g. increased biodiversity) should flow when recommendations for action are implemented. But testing these links is rare and there are implications if those links are tenuous. One problem leading to a lack of congruence between models and reality can be a lack of ecological data for the system being modelled. Incomplete understanding, erroneous assumptions about drivers or degree of variability, and uncritical use of expert opinion can all result in models that may be more likely to mislead than inform. Explicit validation of models, sensitivity testing and ongoing development of novel solutions to deal with incomplete data can all assist. So, wise and critical use of ecological models provides one mechanism to increase our ability to quantify adverse effects on, and project future trajectories of, aquatic ecosystems.


1992 ◽  
Vol 26 (9-11) ◽  
pp. 2365-2367
Author(s):  
L. Cingolani ◽  
A. Morosi

The aim of this work was to verify the effectiveness of benthic macro-invertebrate observation in providing information about the effects of a landfill on an aquatic ecosystem. A significant difference between upstream and downstream communities from landfill drainage area was found. The adopted taxonomic level was sufficient to reach our object.


Hydrobiologia ◽  
2011 ◽  
Vol 683 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Dennis Trolle ◽  
David P. Hamilton ◽  
Matthew R. Hipsey ◽  
Karsten Bolding ◽  
Jorn Bruggeman ◽  
...  

2019 ◽  
Vol 36 ◽  
pp. 85-95 ◽  
Author(s):  
Wolf M Mooij ◽  
Dianneke van Wijk ◽  
Arthur HW Beusen ◽  
Robert J Brederveld ◽  
Manqi Chang ◽  
...  

1999 ◽  
Vol 39 (10-11) ◽  
pp. 207-210 ◽  
Author(s):  
D. J. Roux ◽  
C. J. Kleynhans ◽  
C. Thirion

The output of monitoring programmes such as the National Aquatic Ecosystem Biomonitoring Programme must be used in the management of aquatic ecosystems. To achieve this, collected data must, through a systematic framework, be linked to measurable management objectives. This paper demonstrates how the results obtained with biological indices and system-specific knowledge, are combined to derive semi-quantitative assessments of ecosystem condition. These assessments provide the basis for responding to the results of a river monitoring programme.


2002 ◽  
Vol 124 (3) ◽  
pp. 634-642 ◽  
Author(s):  
T. Bailey ◽  
M. A. Elbestawi ◽  
T. I. El-Wardany ◽  
P. Fitzpatrick

This is the second part of a two-part paper presenting a new methodology for analytically simulating multi-axis machining of complex sculptured surfaces. The first section of this paper offers a detailed explanation of the model calibration procedure. A new methodology is presented for accurately determining the cutting force coefficients for multi-axis machining. The force model presented in Part 1 of this paper is reformulated so that the cutting force coefficients account for the effects of feed rate, cutting speed, and a complex cutting edge design. Experimental results are presented for the calibration procedure. Model verification tests were conducted with these cutting force coefficients. These tests demonstrate that the predicted forces are within 5% of experimentally measured forces. Simulated results are also shown for predicting dynamic cutting forces and static/dynamic tool deflection. The second section of the paper discusses how the modeling methodology can be applied for feed rate scheduling in an industrial application. A case study for process optimization of machining an airfoil-like surface is used for demonstration. Based on the predicted instantaneous chip load and/or a specified force constraint, feed rate scheduling is utilized to increase metal removal rate. The feed rate scheduling implementation results in a 30% reduction in machining time for the airfoil-like surface.


2016 ◽  
Vol 92 (01) ◽  
pp. 50-52
Author(s):  
Sheena A. Spencer ◽  
Kevin Devito ◽  
Ellen Macdonald

The Terrestrial and Riparian Organisms, Lakes and Streams Project studied the impacts of forest harvest and riparian buffers on terrestrial and aquatic ecosystems in twelve fish-bearing lakes in the boreal mixed-wood forests of Alberta. Major results are outlined based on forest harvest and buffer effects on the landscape, water quality, and the aquatic ecosystem. Results from this project suggest that forest managers should be flexible in buffer width recommendations and should consider the entire watershed when determining the effects of disturbance due to complexities in the landscape.


2016 ◽  
Vol 1 (1) ◽  
pp. 28-37
Author(s):  
Mohd Nasarudin Harith ◽  
Ruhana Hassan

A study was carried out to evaluate the diversity and similarity of cyanobacterial populations in selected Sarawak aquatic ecosystem using β-indices. Eight stations including aquaculture ponds, cage cultures, waterfall and artificial lake located in Serian, Bau and Batang Ai areas were selected. A total of 43 species belonging to 30 genera of cyanobacteria were recorded. The most distributed pattern among all sampling stations belongs to the genera Chroococcus, Lyngbya, Nostoc and Oscillatoria. The highest β diversity values were found among non-contiguous stations. Besides, no identical or totally different cyanobacteria diversity values were obtained among those non-contiguous stations. The highest β diversity value (0.84) was found among stations with contrasting environmental characteristics. The wide range of β-diversity and similarity suggested that different locations and types of aquatic ecosystems may have variations in physico-chemical properties of the water and eventually lead to the different composition of cyanobacteria.


Mathematics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 25 ◽  
Author(s):  
Fasma Diele ◽  
Carmela Marangi

A major neglected weakness of many ecological models is the numerical method used to solve the governing systems of differential equations. Indeed, the discrete dynamics described by numerical integrators can provide spurious solution of the corresponding continuous model. The approach represented by the geometric numerical integration, by preserving qualitative properties of the solution, leads to improved numerical behaviour expecially in the long-time integration. Positivity of the phase space, Poisson structure of the flows, conservation of invariants that characterize the continuous ecological models are some of the qualitative characteristics well reproduced by geometric numerical integrators. In this paper we review the benefits induced by the use of geometric numerical integrators for some ecological differential models.


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