Biology

A method for ecological analysis adapted to US needs

The CPMV method (for Coordonnées principales de matrice de voisinage), developed by Québec researchers, recently proved its effectiveness in analyzing a major American study in lacustrine ecology. It may seem surprising that local researchers could help American researchers, with their powerful research facilities. But this is what happened when Pierre Legendre and Daniel Borcard, of the Inter-university Research Group in Limnology and Aquatic Environment (GRIL), helped their American colleagues analyze their own data.

Respectively a professor and a lecturer in the Department of Biology at University of Montréal, Pierre Legendre and Daniel Borcard are specialists in digital ecology, a field that deals with computer analysis of ecological data. From 1984 to 1991, American researchers accumulated thousands of data sets, gathered in 154 samplings, at Little Rock Lake, Wisconsin. Their research looked into the effects of acidification of a lake on species of zooplankton—a herbivorous, carnivorous or detritivorous organism that lives in bodies of water. Their data covered 73 species of zooplancton and 13 environmental variables (conductivity, acidity, nitrogen level, etc). However, they had no global method for analyzing the data they had collected. In July 2003, they contacted Pierre Legendre, whose method of “multivariable” analysis is known worldwide. Mr. Legendre is also the author of Digital Ecology, the first book to combine ecology and data analysis methods. The book, which is read worldwide, is now in its fourth edition.

To conduct their study, the American researchers chose a lake with a narrows that they could separate into two ponds with a temporary physical barrier. One part of the lake was gradually acidified with sulfuric acid (the chemical compound responsible for acid rain) in order raise the pH, and the other was left in its natural state. Little Rock Lake thus became an open-air laboratory, one of whose objectives was to compare the time evolution of zooplancton in the two neighbouring environments, with their different chemical compositions.

In the first phase, the Legendre-Borcard team had to check whether the communities of zooplancton reacted differently in the acidified basin. Their method enabled them to determine that the two communities had kept a common functioning and dynamics. The global functioning had not been disrupted. However, the community in the acidified pool adjusted to the changes. Thus, the two researchers were able to confirm the effectiveness of their method in a time context. A big step forward for ecology.

Mr. Legendre’s laboratory regularly welcomes postdoctoral researchers. They bring a fresh point of view to research problems, and all members of the laboratory benefit from this unique experience. Two young researchers (Pedro Peres-Neto, trained in digital ecology, and Stéphane Dray, trained in biostatistics) are currently working to refine the method.

Researcher: Pierre Legendre
Email: Pierre.Legendre@umontreal.ca
Telephone: (514) 343-7591
 


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