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Miguel B. Araújo Lab | Blog

Predicting the effects of environmental change on biodiversity

You are here: Home / Archives for Species distributions modelling

Interview to Jornal de Negócios

Click in the images to read (in Portuguese). . . . [ Read More ]

2019 Edition of the SDM course

We are thrilled to announce the 6th edition of the "Species Distributions Modelling Course: Concepts, Methods, Applications, and Challenges" that Babak Naimi and I give every year.  This is a 7 days course for graduate students, researchers and professional. It introduces the fundamental concepts underpinning species distribution models, or ecological niche models (ENM), describing . . . [ Read More ]

Standards for distribution models in biodiversity assessments

https://youtu.be/iS31WaKMW_Y Would you have your cancer treatment be defined by one doctor supported by the opinion of two additional referees? Surely, you would hope the treatment to follow best practice standards reached by consensus among several doctors working in the field. Surprisingly, no such standards exist in models entering biodiversity assessments, but we now provide such . . . [ Read More ]

2018 Species Distributions Course

SDM model for the Caribbean spiny pocket mouse Source: Radosavljevic, A. and R. P. Anderson. 2014. J. Biogeogr 41:629-643 We are organising the 5th edition of the course “Species distributions models: concepts, methods, applications, and challenges”, which introduces the fundamental concepts underpinning ecological niche models (ENM), describing some of the most prominent methods currently in . . . [ Read More ]

2017 Species Distributions Modelling Course

SDM model for the Caribbean spiny pocket mouse Source: Radosavljevic, A. and R. P. Anderson. 2014. J. Biogeogr 41:629-643 We are organising the 4th edition of the course “Species distributions models: concepts, methods, applications, and challenges”, which introduces the fundamental concepts underpinning ecological niche models (ENM), describing some of the most prominent methods currently in . . . [ Read More ]

Report: Improving GBIF-mediated data for distribution modelling

Miguel Araújo participated in the group of experts tasked with helping to improve the usefulness of GBIF-mobilized data for distribution modelling research. The report has just been published. The report summarizes survey results drawn from the distribution modelling research community and the group’s own views. ‘Frontiers of Biodiversity Informatics and Modelling Species Distributions’, a . . . [ Read More ]

sdm R – New platform for species distributions modelling

Ecography has just published a new software not article by Babak Naimi and Miguel Araújo featuring the new sdm R platform for species distributions modelling. Sdm R is an object-oriented, reproducible and extensible, platform for running models of species distribtions. It uses individual species and community-based approaches, enabling ensembles of models to be fitted and evaluated, to . . . [ Read More ]

Araújo’s talk at the Mexican Ecology Conference

Simposium "Avances conceptuales y metodológicos de la teoría del nicho ecológico". Title of talk: "The A and B factor in species distributions modelling" . . . [ Read More ]

2016 Course on Species Distributions Modelling

SDM model for the Caribbean spiny pocket mouse Source: Radosavljevic, A. and R. P. Anderson. 2014. J. Biogeogr 41:629-643 We are organising the 3rd edition of the course “Species distributions models: concepts, methods, applications, and challenges”, which introduces the fundamental concepts underpinning ecological niche models (ENM), describing some of the most prominent methods currently in . . . [ Read More ]

How complex should models be?

Photo by Stef Lewandowski and licensed under creative commons There is a longstanding discussion about the degree of model complexity that species distributions models have to have in order to maximise the usefulness of the predictions. A discussion that started with observations that more complex models were fitting species distributions data better than simpler models. See for example, . . . [ Read More ]

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