Dear colleagues,

Transmitting Science offers a new course: “Dealing with Uncertainty In Species 
Distributions”

Course overview

Predicting species distributions and how they may evolve is crucial for 
ecosystem management and conservation planning, but the intrinsic 
unpredictability that is inherent to living organisms prevents accurate 
categorical forecasts of species’ occurrence sites, or accurate delimitations 
of their distribution ranges.

In this course we will analyse the limitations and uncertainties associated 
with species distribution records, and provide methods for dealing with them, 
including species distribution models treated with fuzzy logic and quantum 
mechanical concepts.

The course will include theoretical and practical lessons. We will use 
particular R packages, such as fuzzySim and modEvA, for 1) modelling species 
distributions based on available occurrence records; 2) evaluating the 
predictive capacity of these models using a varied set of measures that address 
different facets of model performance, such as discrimination, classification, 
explanatory power and calibration; and 3) incorporating natural uncertainty in 
analyses of species distributions, namely using fuzzy logic and formulas from 
quantum mechanics to assess similarity, diversity and change in biogeographical 
communities.

We will provide sample data for most of the course, but students will also have 
a chance to apply what they have learned to their own data if they wish.

INSTRUCTORS: Dr. A. Márcia Barbosa (CIBIO-InBIO, Portugal) and Dr. Alba Estrada 
(University of Málaga, Spain).

DATE: May 8th-11th, 2018.

More information and registration: 
http://www.transmittingscience.org/courses/biogeography/dealing-uncertainty-species-distributions/
 or writing to cour...@transmittingscience.org

Please feel free to distribute this information between your colleagues if you 
consider it appropriate.

With best regards

Sole

Soledad De Esteban-Trivigno, PhD.
Scientific Director
Transmitting Science
http://www.transmittingscience.org/

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