Species distribution data are always incomplete snapshots of actual species distributions, which are dynamic and thus constantly changing. 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.
Former participants will have a 5 % discount on the Course Fee.
Furthermore, a 20 % discount on the Course Fee is offered for members of some organizations (Organizations with discount). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).
Spanish unemployed scientists, as well as Spanish PhD students without any grant or scholarship to develop their PhD, could benefit from a 40 % discount on the Course Fee. If you want to ask for this discount, please contact the course coordinators. That would apply for a maximum of 2 places and they will be covered by strict inscription order.
Discounts are not cumulative.