'Environmental gradients' diaporamas de présentation

A Bestiary of Experimental and Sampling Designs

A Bestiary of Experimental and Sampling Designs. The design of an experiment. The details of: replication, randomizations, and independence. We cannot draw blood from a stone . Even the most sophisticated analysis CANNOT rescue a poor design . Categorical variables .

827 views • 66 slides

Adapted from Ecological Statistical Workshop, FLC, Daniel Laughlin

Adapted from Ecological Statistical Workshop, FLC, Daniel Laughlin. Distance Measures and Ordination. Goals of Ordination. To arrange items along an axis or multiple axes in a logical order To extract a few major gradients that explain much of the variability in the total dataset

713 views • 60 slides

Successional Theory

821 views • 58 slides

Physical environment comprises temperature, wind, moisture, salinity, pH, fire.

Physical environment comprises temperature, wind, moisture, salinity, pH, fire. Physical environment is strong influence on biological distributions and processes.

403 views • 40 slides

Physical environment comprises temperature, wind, moisture, salinity, pH, fire.

Physical environment comprises temperature, wind, moisture, salinity, pH, fire. Physical environment is strong influence on biological distributions and processes.

409 views • 40 slides

Chapter 6: Construction

454 views • 38 slides

Examples and opportunities for syntheses of long-term cross site data

Experimental Forest Network. LTER Network. Examples and opportunities for syntheses of long-term cross site data. Lotic Intersite Nitrogen Experiment. Early Efforts in LTER Climate Committ ee 1986 Objectives. Establish baseline meteorological measurements Characterize each LTER site

505 views • 34 slides

Simulations as a Mathematical Tool

Simulations as a Mathematical Tool. D. J. Kaup Department of Mathematics & IST John E. Fauth & Linda Walters Department of Biology Rex Oleson III Institute for Simulation & Training (IST) Linda Malone Department of Industrial Engineering & Management Systems Tom Clarke

435 views • 29 slides

415 views • 26 slides

Peter Ode California Department of Fish and Game Charles Hawkins Utah State University

Comparability of Biological Assessments Derived from Predictive Models of Increasing Geographic Scope. Peter Ode California Department of Fish and Game Charles Hawkins Utah State University Alan Herlihy Oregon State University John Van Sickle US EPA-ORD Daren Carlisle USGS-NAWQA

255 views • 25 slides

The Sensitivity of High Altitude Lochs in Scotland to Climate Change and Atmospheric Pollution:

The Sensitivity of High Altitude Lochs in Scotland to Climate Change and Atmospheric Pollution: A Preliminary Analysis Martin Kernan (Environmental Change Research Centre, UCL).

95 views • 1 slides