@article{fdi:010061067,
  title = {{P}riming effect and microbial diversity in ecosystem functioning and response to global change : a modeling approach using the {SYMPHONY} model},
  author = {{P}erveen, {N}. and {B}arot, {S}{\'e}bastien and {A}lvarez, {G}. and {K}lumpp, {K}. and {M}artin, {R}. and {R}apaport, {A}. and {H}erfurth, {D}. and {L}ouault, {F}. and {F}ontaine, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}ntegration of the priming effect ({PE}) in ecosystem models is crucial to better predict the consequences of global change on ecosystem carbon ({C}) dynamics and its feedbacks on climate. {O}ver the last decade, many attempts have been made to model {PE} in soil. {H}owever, {PE} has not yet been incorporated into any ecosystem models. {H}ere, we build plant/soil models to explore how {PE} and microbial diversity influence soil/plant interactions and ecosystem {C} and nitrogen ({N}) dynamics in response to global change (elevated {CO}2 and atmospheric {N} depositions). {O}ur results show that plant persistence, soil organic matter ({SOM}) accumulation, and low {N} leaching in undisturbed ecosystems relies on a fine adjustment of microbial {N} mineralization to plant {N} uptake. {T}his adjustment can be modeled in the {SYMPHONY} model by considering the destruction of {SOM} through {PE}, and the interactions between two microbial functional groups: {SOM} decomposers and {SOM} builders. {A}fter estimation of parameters, {SYMPHONY} provided realistic predictions on forage production, soil {C} storage and {N} leaching for a permanent grassland. {C}onsistent with recent observations, {SYMPHONY} predicted a {CO}2-induced modification of soil microbial communities leading to an intensification of {SOM} mineralization and a decrease in the soil {C} stock. {SYMPHONY} also indicated that atmospheric {N} deposition may promote {SOM} accumulation via changes in the structure and metabolic activities of microbial communities. {C}ollectively, these results suggest that the {PE} and functional role of microbial diversity may be incorporated in ecosystem models with a few additional parameters, improving accuracy of predictions.},
  keywords = {{CYCLE} {BIOGEOCHIMIQUE} ; {CARBONE} ; {MATIERE} {ORGANIQUE} ; {NUTRITION} {MINERALE} ; {RELATION} {SOL} {PLANTE} ; {FONCTIONNEMENT} {DE} {L}'{ECOSYSTEME} ; {CLIMAT} ; {MODELISATION} ; {ANALYSE} {MATHEMATIQUE} ; {CHANGEMENT} {CLIMATIQUE}},
  booktitle = {},
  journal = {{G}lobal {C}hange {B}iology},
  volume = {20},
  numero = {4},
  pages = {1174--1190},
  ISSN = {1354-1013},
  year = {2014},
  DOI = {10.1111/gcb.12493},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061067},
}