Biodiversity Data Science.

A team of researchers committed to provide knowledge to well-informed biodiversity conservation and management, in line with the UN 2030 Agenda for Sustainable Development.

  • Featured publications

Global seaweed productivity

Seaweed productivity is strongly related to climatic variables, peaking at temperate latitudes and exhibiting exceptionally high per-area production rates, 10 times higher than coastal phytoplankton in temperate and polar seas.

Major expansion of marine forests in a warmer Arctic

Future expansions of marine forests in response to changing climate will likely elicit major changes in biodiversity and ecosystem functions of the Arctic.

Mapping the global biodiversity patterns of marine forests

Stacked species distribution modelling identifies regions of high and low species richness and endemicity of marine forests of brown algae globally.

  • Latest tweets
  • Featured code
Downloading biodiversity records from iNaturalist

Automatically download biodiversity records from iNaturalist, the most recognised citizen science initiative.

Programming language:

Marine climate layers for ecological modelling

High-resolution marine data layers to model the distribution of species at global scales.

Programming language:

biodiversityDS.

Jorge Assis [PhD, Research Assistant]
Centre of Marine Sciences, University of Algarve [Faro, Portugal]
© 2022 Biodiversity Data Science, All Rights Reserved