Releases of the QUINCY terrestrial ecosystem model

The QUINCY model source-code is available from the QUINCY model releases git repository.
The access to this git repository is restricted to registered users.
Please send an email to the below contact and read the Software page for more details.

Release information

QUINCY land model - release01

• branch name: quincy-land/release01
• brief info: Initial release of the QUINCY land model.
• publication: https://doi.org/10.5194/gmd-12-4781-2019
• Bug reports, info, and comments to: Sönke Zaehle (email: szaehle-at-bgc-jena.mpg.de)

QUINCY land model - release02

• branch name: quincy-land/release02
• brief info: Adds the capacity to calculate variable leaf N content using whole-plant optimality theory, implemented as an alternative to the empirical formulation in quincy-land/release01.
• publication: https://doi.org/10.1111/nph.16327
• Bug reports, info, and comments to: Sönke Zaehle (email: szaehle-at-bgc-jena.mpg.de)

Jena Soil Model (JSM) - release01

• branch name: jsm/release01
• brief info: JSM, implemented using the QUINCY model framework, is a microbial-explicit, vertically resolved soil organic matter model integrated with N and P processes, which represents the microbial explicit decomposition and stabilisation with approaches for microbial adaptation and plant-microbe competition.
• publication: https://doi.org/10.5194/gmd-13-783-2020
• Bug reports, info, and comments to: Sönke Zaehle (email: szaehle-at-bgc-jena.mpg.de)

QUINCY land model - release03

• branch name: quincy-land/release03
• brief info: Extending QUINCY with processes relevant for high latitudes, e.g., soil freezing, snow and inundation. Aim for better understanding of impacts of increased nutrient availability from permafrost thawing in comparison to other climate-induced effects and CO2 fertilization over 1960 to 2018 across the high Arctic.
• publication: https://doi.org/10.1111/gcb.16345
• Bug reports, info, and comments to: Sönke Zaehle (email: szaehle-at-bgc-jena.mpg.de)

QUINCY land model - release04

• branch name: quincy-land/release04
• brief info: Application of QUINCY to investigate the emergence of physiological effects of elevated CO2 on various vegetation properties related to carbon and water fluxes. The elevated CO2 effect 1) on GPP emerges at relatively low CO2 increase if the LAI is relatively high, and 2) reduces transpiration water flux only at relatively high levels of CO2 increase.
• publication: https://doi.org/10.1111/GCB.16397
• Bug reports, info, and comments to: Sönke Zaehle (email: szaehle-at-bgc-jena.mpg.de)

QUINCY land model - release 05

• branch name: quincy-land/release05
• brief info: A novel, dynamic plant-mycorrhiza-soil model based on mycorrhizal functional types that either actively mine soil organic matter (SOM) for N or enhance soil microbial activity though increased transfer of labile C into the rhizosphere and thereby (passively) prime SOM decomposition. We show that mycorrhizal fungi can have important effects on projected SOM turnover and plant nutrition under ambient as well as elevated CO2 treatments.
• publication: https://doi.org/10.5194/bg-2023-109
• Bug reports, info, and comments to: Sönke Zaehle (email: szaehle-at-bgc-jena.mpg.de)

QUINCY land model - release 06

• branch name: quincy-land/release06
• brief info:  A novel dynamic nitrogen (N) resorption scheme that first imposes leaf structural constraints on resorption (assuming all metabolic N is mobilizable), and then applies indirect environmental limitation to downregulate this potential by using leaf C:N as a proxy for N status. The new scheme captures the global gradient of N resorption across biomes and plant types, and shows important effects for ecosystem N cycling, plant allocation and production responses.
• publication: https://doi.org/10.22541/essoar.174708319.90234306/v1
• Bug reports, info, and comments to: Sönke Zaehle (email: szaehle-at-bgc-jena.mpg.de)

QUINCY land model - release 07

• branch name: quincy-land/release07
• brief info:  In the paper, we harness an advanced remote sensing leaf chlorophyll product to evaluate QUINCY leaf chlorophyll representation. The study showcases how remote sensing observations can benefit the modeling of the carbon and nitrogen cycles, and paves way for closer linking of remote sensing and terrestrial biosphere models.
• publication: https://doi.org/10.5194/bg-22-6937-2025
• Bug reports, info, and comments to: Sönke Zaehle (email: szaehle-at-bgc-jena.mpg.de)

QUINCY land model - release 08

• branch name: quincy-land/release08
• brief info:  Simulate the carbon fluxes at Borden forest, Ontario, Canada, with delay added to development of leaf chlorophyll in spring to assess its additional value in the model parameterization, to study how well QUINCY can capture observed trends related to the carbon cycle at the site, and to investigate how well the processes associated with a drought year and its legacy effects are captured by the model.
• publication: https://doi.org/10.5194/bg-22-1781-2025
• Bug reports, info, and comments to: Sönke Zaehle (email: szaehle-at-bgc-jena.mpg.de)