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New Softwarenote Editor: Babak Naimi
Дата публикации: 21-01-2026 15:33:23


Babak Naimi is a senior researcher at the Quantitative Biodiversity Dynamics (QBD) group, Utrecht University in the Netherlands, with a research focus on understanding biodiversity change in response to ongoing climate/global change and anthropogenic activities. My main motivation has always been toward understanding the dynamics and functioning of nature and ecosystems through the use of advances in Geospatial data science and modelling tools (e.g., machine/deep learning, species distribution models). To address grand challenges that humanity faces (e.g., biodiversity loss, land cover/climate change), we need to take the recent explosive and remarkable progress in the availability of huge multiple sources of (big) spatial and temporal data (e.g., high-resolution satellite imaging, crowdsourcing, citizen science, drones, sensor networks) into account which together with enhanced methodological developments, can provide a great opportunity to answer some questions, e.g., why biodiversity changes are varying over space and time, how they are linked to climate change and other anthropogenic developments, how dynamics of ecosystems can provide insights/signals into their health status (and other risks to humans), how we can quantify the resilience of ecosystems, i.e., the capacity to maintain biodiversity, in a way to provide insights into biodiversity change and the risk of collapses (critical transitions) in species communities and ecosystem functions, and how such insights can contribute to reverse biodiversity loss. Such advances can also contribute towards successfully implementing strategic plans (e.g., CBD post-2020) and reaching sustainable goals and targets.
Keywords: Species distribution modelling, GIS, Remote sensing, Biodiversity change, Spatial, Spatio-temporal
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21 January 2026

Babak Naimi is a senior researcher at the Quantitative Biodiversity Dynamics (QBD) group, Utrecht University in the Netherlands, with a research focus on understanding biodiversity change in response to ongoing climate/global change and anthropogenic activities. My main motivation has always been toward understanding the dynamics and functioning of nature and ecosystems through the use of advances in Geospatial data science and modelling tools (e.g., machine/deep learning, species distribution models). To address grand challenges that humanity faces (e.g., biodiversity loss, land cover/climate change), we need to take the recent explosive and remarkable progress in the availability of huge multiple sources of (big) spatial and temporal data (e.g., high-resolution satellite imaging, crowdsourcing, citizen science, drones, sensor networks) into account which together with enhanced methodological developments, can provide a great opportunity to answer some questions, e.g., why biodiversity changes are varying over space and time, how they are linked to climate change and other anthropogenic developments, how dynamics of ecosystems can provide insights/signals into their health status (and other risks to humans), how we can quantify the resilience of ecosystems, i.e., the capacity to maintain biodiversity, in a way to provide insights into biodiversity change and the risk of collapses (critical transitions) in species communities and ecosystem functions, and how such insights can contribute to reverse biodiversity loss. Such advances can also contribute towards successfully implementing strategic plans (e.g., CBD post-2020) and reaching sustainable goals and targets.

Keywords: Species distribution modelling, GIS, Remote sensing, Biodiversity change, Spatial, Spatio-temporal

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