ibis.iSDM - A modelling framework for creating integrated species distribution models

Jung, M. (2022). ibis.iSDM - A modelling framework for creating integrated species distribution models. In: ECCB 2022, Prague.

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Abstract

Species distribution models (SDMs) are the most widely-used approaches to estimate ecological response functions and create spatial-temporal indicators for conservation and macroecological research. However, many biodiversity data sources are of varying origins and have different levels of confidence. Commonly, existing biodiversity knowledge, such as estimates on species ranges or habitat preferences, is ignored in SDMs, resulting in naive predictions determined by often spatially or environmentally biased data. Here I present the ‘ibis’ framework for creating Integrated BiodIversity distribution projectionS and specifically integrated species distribution models (iSDM). This new framework supports various levels of integration for different types of data, e.g. polygon, point occurrences and priors from the literature, and likelihood functions such as for presence-absence and presence-only data in Poisson process modelling framework. Further, it is specifically customized to make spatial-temporal projections of future biodiversity trends in response to land-use and climate change.

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