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Large‐Scale Perturbations: Opportunities for Innovation
Author(s) -
Carpenter Stephen R.
Publication year - 1990
Publication title -
ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.144
H-Index - 294
eISSN - 1939-9170
pISSN - 0012-9658
DOI - 10.2307/1938617
Subject(s) - scale (ratio) , ecology , bayes' theorem , data science , curriculum , computer science , environmental resource management , bayesian probability , geography , environmental science , psychology , biology , artificial intelligence , cartography , pedagogy
Several approaches are discussed for statistical analysis of large—scale (and possibly unreplicated) ecological experiments. These include intervention analyses and comparisons of alternative models using Bayes' formula. Such techniques are unfamiliar to many ecologists and are not typically included in graduate curricula in ecology. I argue for increased training in these areas and for collaborations between statisticians and ecologists to develop innovative approaches to the analysis of large—scale perturbations.