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Water variability dictates critical precipitation for the Amazon forest based on LPJmL model

Authors
/persons/resource/da.nian

Nian,  Da       
Potsdam Institute for Climate Impact Research;

/persons/resource/Boris.Sakschewski

Sakschewski,  Boris       
Potsdam Institute for Climate Impact Research;

/persons/resource/markus.drueke

Drüke,  Markus       
Potsdam Institute for Climate Impact Research;

Bathiany,  Sebastian
External Organizations;

/persons/resource/lana.blaschke

Blaschke,  Lana       
Potsdam Institute for Climate Impact Research;

/persons/resource/maja.benyami

Ben-Yami,  Maya
Potsdam Institute for Climate Impact Research;

/persons/resource/Niklas.Boers

Boers,  Niklas       
Potsdam Institute for Climate Impact Research;

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Citation

Nian, D., Sakschewski, B., Drüke, M., Bathiany, S., Blaschke, L., Ben-Yami, M., Boers, N. (2023): Water variability dictates critical precipitation for the Amazon forest based on LPJmL model.
https://doi.org/10.5281/zenodo.8297598


Cite as: https://publications.pik-potsdam.de/pubman/item/item_28688
Abstract
Data for the publication "Water variability dictates critical precipitation for the Amazon forest based on LPJmL model" by Nian et al.