Transmitting Science offers a new course: “Dealing with Uncertainty In Species Distributions”
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 courses from transmittingscience.org
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With best regards
Soledad De Esteban-Trivigno,PhD.