کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6304349 | 1618427 | 2013 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Causal modeling with multivariate species data
ترجمه فارسی عنوان
مدل سازی علمی با داده های گونه های چند متغیره
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم آبزیان
چکیده انگلیسی
Recent advances in causal modeling have made it possible to build and test structural equation models without any restriction on the functional forms or error distributions of the structural equations. We propose here a method for building and testing causal models that uses ordination axes arising from multivariate species data. This is demonstrated through the analysis of macrobenthic species abundance data observed at multiple times before and after the 1978 Amoco Cadiz oil spill (Dauvin, 1982). The available data consist of 21 quarterly observations on 257 species during the period 1977-1982. A causal model of the impact and subsequent recovery was built and tested using distance-based redundancy analysis (dbRDA). In addition, to predict the time required for recovery of the community, nonlinear models were fitted to the first two PCO axes, and the fitted nonlinear models were used to generate predictions for 20Â years beyond the last observation in the data set. These predictions were found to compare favorably with the results from longer term studies carried out by Dauvin (1998). The methods described here are sufficiently well established to be used in ecological research, and will allow ecologists to move towards plausible causal models and generate stronger inferences from observational multivariate community data than has been achieved to date.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Experimental Marine Biology and Ecology - Volume 448, October 2013, Pages 72-84
Journal: Journal of Experimental Marine Biology and Ecology - Volume 448, October 2013, Pages 72-84
نویسندگان
Warren L. Paul, Marti J. Anderson,