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Peer-reviewedCC BYJournal of Open Source Software

mapme.biodiversity: Efficient Monitoring of Global Biodiversity Portfolios

Abstract

Biodiversity areas, especially primary forest, serve a multitude of functions for local economy, regional functionality of the ecosystems as well as the global health of our planet. Recently, adverse changes in human land use practices and climatic responses to increased greenhouse gas emissions, put these biodiversity areas under a variety of different threats. The present package helps to analyse a number of biodiversity indicators based on freely available geographical datasets. It supports computational efficient routines that allow the analysis of potentially global biodiversity portfolios. The primary use case of the package is to support evidence based reporting of an organization's effort to protect biodiversity areas under threat and to identify regions were intervention is most duly needed.

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BibTeX
@article{gorgen2026mapmebiodiversity,
  title = {{mapme.biodiversity: Efficient Monitoring of Global Biodiversity Portfolios}},
  author = {Darius Görgen and Om Prakash Bhandari and Andreas Petutschnig and Zivan Karaman and Florent Bédécarrats and Johannes Schielein},
  journal = {Journal of Open Source Software},
  year = {2026},
  month = may,
  doi = {10.21105/joss.10166},
  url = {https://hal.science/hal-05779771v1},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - mapme.biodiversity: Efficient Monitoring of Global Biodiversity Portfolios
AU  - Darius Görgen
AU  - Om Prakash Bhandari
AU  - Andreas Petutschnig
AU  - Zivan Karaman
AU  - Florent Bédécarrats
AU  - Johannes Schielein
PY  - 2026
DA  - 2026/05/29
JO  - Journal of Open Source Software
DO  - 10.21105/joss.10166
UR  - https://hal.science/hal-05779771v1
AB  - Biodiversity areas, especially primary forest, serve a multitude of functions for local economy, regional functionality of the ecosystems as well as the global health of our planet. Recently, adverse changes in human land use practices and climatic responses to increased greenhouse gas emissions, put these biodiversity areas under a variety of different threats. The present package helps to analyse a number of biodiversity indicators based on freely available geographical datasets. It supports computational efficient routines that allow the analysis of potentially global biodiversity portfolios. The primary use case of the package is to support evidence based reporting of an organization's effort to protect biodiversity areas under threat and to identify regions were intervention is most duly needed.
SN  - 1942-3926
ER  -