Banca de DEFESA: JOÃO CARLOS PIRES DE OLIVEIRA
Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.DISCENTE : JOÃO CARLOS PIRES DE OLIVEIRA
DATA : 04/08/2023
HORA: 14:15
LOCAL: Google Meet
TÍTULO:
Useful, but can be improved: Methodological Advances for Niche Modeling and Species Distribution Modeling
PALAVRAS-CHAVES:
ecological signal, collection bias, model evaluation, variable importance.
PÁGINAS: 69
GRANDE ÁREA: Ciências Biológicas
ÁREA: Ecologia
SUBÁREA: Ecologia Teórica
RESUMO:
Ecological Niche Modeling and Species Distribution Modeling (ENM and SDM) are widely used in various areas of knowledge that aim to understand niche and species distribution features. The methodological and conceptual development to model the niche and species distribution occurred quickly throughout their brief history, which began in the 90s, aiming to incorporate more ecological significance and precision to the prediction maps of the models. Therefore, searching for more accurate algorithms became inevitable, as well as for more accurate evaluations. However, the modelers are not unanimous in recommending the methodological and theoretical framework, and this generates inaccuracies in the construction and interpretation of models. In this sense, we still need to move forward conceptually and methodologically, and we propose to achieve this goal of making the ENM and SDM more reliable. For this we seek to answer the following question: Can we build and interpret more robust ENM and SDM, with valid ecological interpretations in their multiple applications? We believe that we indeed can, and we propose new methodologies to: 1) Evaluate and propose alternatives to provide a most accurate model evaluation; and 2) Identify the effect of the collection bias on the predictive performance of the models and propose solutions.
MEMBROS DA BANCA:
Interno - 014.459.411-04 - ALESSANDRO RIBEIRO DE MORAIS - UFG
Interno - 480666100 - MÔNICA APARECIDA CUPERTINO EISENLOHR
Interno - 253812001 - PEDRO VASCONCELLOS EISENLOHR
Externo à Instituição - DANIEL DE PAIVA SILVA - IF Goiano
Externo à Instituição - LEVI CARINA TERRIBILE - UFJ