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A software package for assessing terrestrial planetary boundaries

Urheber*innen
/persons/resource/Dieter.Gerten

Gerten,  Dieter
Potsdam Institute for Climate Impact Research;

/persons/resource/Johanna.Braun

Braun,  Johanna
Potsdam Institute for Climate Impact Research;

/persons/resource/jannes.breier

Breier,  Jannes
Potsdam Institute for Climate Impact Research;

/persons/resource/Wolfgang.Lucht

Lucht,  Wolfgang
Potsdam Institute for Climate Impact Research;

/persons/resource/Arne.Tobian

Tobian,  Arne
Potsdam Institute for Climate Impact Research;

/persons/resource/stenzel

Stenzel,  Fabian
Potsdam Institute for Climate Impact Research;

Externe Ressourcen

https://doi.org/10.5281/zenodo.11550558
(Ergänzendes Material)

https://doi.org/10.5281/zenodo.14850989
(Ergänzendes Material)

https://doi.org/10.5281/zenodo.12171095
(Ergänzendes Material)

Volltexte (frei zugänglich)

32378oa.pdf
(Verlagsversion), 11MB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Gerten, D., Braun, J., Breier, J., Lucht, W., Tobian, A., Stenzel, F. (2025): A software package for assessing terrestrial planetary boundaries. - One Earth, 8, 6, 101341.
https://doi.org/10.1016/j.oneear.2025.101341


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_32378
Zusammenfassung
There is a dearth of assessments of temporal trajectories and spatial patterns of planetary boundaries (PBs). However, a generic computation tool to facilitate such studies is lacking. Here, we developed an R-based, open-source software package ‘boundaries’ that can calculate and plot the statuses of different PBs (i.e. if, when, where, and how strongly they are transgressed), based on required variables provided from an external source. The pilot version presented here is designed to use outputs from the LPJmL biosphere model, which dynamically simulates processes underlying the PBs for land-system change, biosphere integrity, biogeochemical (nitrogen) flows, and freshwater change. We quantify and visualize the past and current statuses of these four PBs to demonstrate how boundaries can provide transparent and robust PB evaluation. We strongly encourage users to enhance boundaries for processing outputs from other models and datasets, and provide guidance on how to do so.