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Experimental ecology: A key to understanding fish biology in the wild ArchiMer
Suquet, Marc; Rochet, Marie-joelle; Gaignon, Jean-louis.
Because of natural complexity, field studies are often inconclusive with regards to the ultimate cause of a given change observed in wild animal populations. As a consequence, there is scope to develop an Experimental Ecology Approach (EEA). In this paper, we favour the use of experimental ecology studies to evaluate the effects of environmental factors on fish biology. We identify the advantages of EEA: disentangling the effects of several factors and identifying their respective roles, generating artificial scenarios and increasing our capability to collect and analyse data. This study emphasises the constraints of this approach: fish biological performances may be altered by rearing conditions, by domestication and by the prevention of some behaviours....
Tipo: Text Palavras-chave: Cod; Field study; Environmental parameters; Laboratory experiments; Experimental ecology.
Ano: 2005 URL: http://archimer.ifremer.fr/doc/2005/publication-714.pdf
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Population dynamics of Pseudomonas sp. along a spatial gradient of phosphate: an experimental approach for spatial ecology BJB
CODEÇO,C. T.; GROVER,J. P..
Many theoretical models have been proposed to study the effect of space on population dynamics and interactions, but most of them are difficult to translate into experimental setups due to their abstract nature. Here we defend the gradostat as a valuable experimental tool for testing such theories. The gradostat is a culture system with bi-directional flow that forms nutrient gradients at steady state. In this study, we use a 3-vessel gradostat with a phosphate gradient to study the effect of spatial heterogeneity on the spatial distribution of Pseudomonas sp., an heterotrophic aquatic bacterium. The observed distributions partially agree with theoretical predictions, obtained from a mathematical model.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Gradostat; Spatial ecology; Experimental ecology; Mathematical model.
Ano: 2000 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71082000000400014
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