PPT-Multivariate analysis in community ecology

Gerry Quinn Deakin University Data sets in community ecology Multivariate abundance data Sampling or experimental units p lots cores panels quadrats u sually in hierarchical spatial or temporal structure. Ecologists often need to test hypotheses concerning the effects of experimental factors on whole assemblages of species at once This is important for core ecological research and in studies of biodiversity or environmental impacts in many habitats i Introduction Mapping of multivariate data low-dimensional manifolds for visual in- spection is a commonly used technique in data analysis. The discovery of mappings that reveal the salient features of and . dis. -assembly. Topics for today. Assembly Rules: concepts, conflicts. Early work: plant succession from the 1910’s (and relevance in the 2010’s). Diamond’s . biogeographical. work in the 1970’s. (LSU BIOL 4253, Sections 1 & 2, Spring 2015). Composite satellite image (“Blue Marble 2012”) from Wikimedia Commons. A312 Life Sciences Bldg.. kharms@lsu.edu. Dr. Kyle E. Harms. http://. www.kharms.biology.lsu.edu. Andrew Mead (School of Life Sciences). Multi-… approaches in statistics. Multiple comparison tests. Multiple testing adjustments. Methods for adjusting the significance levels when doing a large number of tests (comparisons between treatments) within a single analyses. Vegetation and Terrestrial Wildlife. Vegetation. Plant Communities. Disturbance. Unique Communities. Wildlife. Amphibians and Reptiles. Birds. Mammals. Terrestrial Ecology: Vegetation. Goals of vegetation sampling on ODOT projects. Multivariate Analysis in R. Liang (Sally) Shan. March 3, 2015 . LISA: Multivariate Analysis in R. Mar. . 3. , 2015. Laboratory for Interdisciplinary Statistical Analysis. Collaboration:. . Visit our website to request personalized statistical advice and assistance with:. CSCI N207 Data Analysis Using Spreadsheet. Lingma Acheson. linglu@iupui.edu. Department of Computer and Information Science, IUPUI. Multivariate Data Analysis. Univariate. data analysis. concerned itself with describing an entity using a single variable.. for . Stream Classification in Texas. Eric S. Hersh. CE397 – Statistics in Water Resources. Term Project. Cinco. de Mayo, 2009. Can we . quantitatively . regionalize the streams of Texas?. Hersh, E.S., Maidment, D.R., and W.S. Gordon. . WORKSHEET. Go over Sections F, G, and H. AFTER THE QUIZ. Work on Section I. DO NOW. Get out EOC Daily sheet, worksheet, and notes. BIOLOGY EOC BIO47. The diagram below shows a plant’s response to stimuli.. HW #1. Age-structured populations. Stage-structure populations . Life cycle diagrams. Projection matrices. Context: Sea . Turtle . Conservation. (But first … background). Population. Structure. :. 41:. Ch. 42:. Ch. 44:. Ecology. Ecology. : study of interactions between organisms and their environments – science of relationships, studied by ecologists. Abiotic . Factors:. non-living parts of an organism’s environment. Geography. Resources. Phylogeny. Community. Redrawn from Fauth . et al. . (1996). Community. – collection of species that occur at the same place & time, circumscribed by natural (. e.g. ., serpentine soil), arbitrary, or artificial (. abiotic. conditions. A traveler should be a botanist, . for in all views plants form . the chief embellishment. Charles Darwin,. The Voyage of the Beagle. Belize. Anza-Borrego Desert,. California. Manning Park.