So many variables: joint modeling in community ecology
Technological advances have enabled a new class of multivariate models for ecology, with
the potential now to specify a statistical model for abundances jointly across many taxa, to …
the potential now to specify a statistical model for abundances jointly across many taxa, to …
Application of multivariate statistical techniques in microbial ecology
O Paliy, V Shankar - Molecular ecology, 2016 - Wiley Online Library
Recent advances in high‐throughput methods of molecular analyses have led to an
explosion of studies generating large‐scale ecological data sets. In particular, noticeable …
explosion of studies generating large‐scale ecological data sets. In particular, noticeable …
MicrobiomeAnalyst 2.0: comprehensive statistical, functional and integrative analysis of microbiome data
Microbiome studies have become routine in biomedical, agricultural and environmental
sciences with diverse aims, including diversity profiling, functional characterization, and …
sciences with diverse aims, including diversity profiling, functional characterization, and …
[BOOK][B] Experimental design and data analysis for biologists
Publisher Description (unedited publisher data) An essential textbook for any student or
researcher in biology needing to design experiments, sampling programs or analyse the …
researcher in biology needing to design experiments, sampling programs or analyse the …
PERMANOVA, ANOSIM, and the Mantel test in the face of heterogeneous dispersions: what null hypothesis are you testing?
MJ Anderson, DCI Walsh - Ecological monographs, 2013 - Wiley Online Library
ANOSIM, PERMANOVA, and the Mantel test are all resemblance‐based permutation
methods widely used in ecology. Here, we report the results of the first simulation study, to …
methods widely used in ecology. Here, we report the results of the first simulation study, to …
[PDF][PDF] mvabund–an R package for model-based analysis of multivariate abundance data
mvabund– an R package for model‐based analysis of multivariate abundance data Page 1
mvabund – an R package for model-based analysis of multivariate abundance data Yi …
mvabund – an R package for model-based analysis of multivariate abundance data Yi …
RRPP: An r package for fitting linear models to high‐dimensional data using residual randomization
Residual randomization in permutation procedures (RRPP) is an appropriate means of
generating empirical sampling distributions for ANOVA statistics and linear model …
generating empirical sampling distributions for ANOVA statistics and linear model …
Modelling palaeoecological time series using generalised additive models
GL Simpson - Frontiers in Ecology and Evolution, 2018 - frontiersin.org
In the absence of annual laminations, time series generated from lake sediments or other
similar stratigraphic sequences are irregularly spaced in time, which complicates formal …
similar stratigraphic sequences are irregularly spaced in time, which complicates formal …
[HTML][HTML] Fostering temporal crop diversification to reduce pesticide use
Temporal crop diversification could reduce pesticide use by increasing the proportion of
crops with low pesticide use (dilution effects) or enhancing the regulation of pests, weeds …
crops with low pesticide use (dilution effects) or enhancing the regulation of pests, weeds …
Experimental insights into the importance of aquatic bacterial community composition to the degradation of dissolved organic matter
Bacteria play a central role in the cycling of carbon, yet our understanding of the relationship
between the taxonomic composition and the degradation of dissolved organic matter (DOM) …
between the taxonomic composition and the degradation of dissolved organic matter (DOM) …