Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Forest carbon allocation modelling under climate change

Articolo
Data di Pubblicazione:
2019
Abstract:
Carbon allocation plays a key role in ecosystem dynamics and plant adaptation to changing environmental conditions. Hence, proper description of this process in vegetation models is crucial for the simulations of the impact of climate change on carbon cycling in forests. Here we review how carbon allocation modelling is currently implemented in 31 contrasting models to identify the main gaps compared to our theoretical and empirical understanding of carbon allocation. A hybrid approach based on combining several principles and/or types of carbon allocation modelling prevailed in the examined models, while physiologically more sophisticated approaches were used less often than empirical ones. The analysis revealed that although the number of carbon allocation studies over the last 10 years has substantially increased, some background processes are still insufficiently understood, and some issues in models are frequently poorly represented, oversimplified or even omitted. Hence, current challenges for carbon allocation modelling in forest ecosystems are: (i) to overcome remaining limits in process understanding, particularly regarding the impact of disturbances on carbon allocation, accumulation and utilisation of non-structural carbohydrates, and carbon use by symbionts, and (ii) to implement existing knowledge of carbon allocation into defence, regeneration, and improved resource uptake in order to better account for changing environmental conditions.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
carbon partitioning; fixed ratio; natural resources; natural disturbances; non-structural carbohydrates; reproduction; mycorrhiza; repair and defence function; temporal resolution; model calibration
Elenco autori:
Collalti, Alessio
Autori di Ateneo:
COLLALTI ALESSIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/387953
Pubblicato in:
TREE PHYSIOLOGY
Journal
  • Dati Generali

Dati Generali

URL

https://doi.org/10.1093/treephys/tpz105
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)