Quantifying nitrogen losses in oil palm plantations: models and challenges - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Biogeosciences Année : 2016

Quantifying nitrogen losses in oil palm plantations: models and challenges

Résumé

Oil palm is the most rapidly expanding tropical perennial crop. Its cultivation raises environmental concerns, notably related to the use of nitrogen (N) fertilisers and the associated pollution and greenhouse gas emissions. While numerous and diverse models exist to estimate N losses from agriculture, very few are currently available for tropical perennial crops. Moreover, there is a lack of critical analysis of their performance in the specific context of tropical perennial cropping systems. We assessed the capacity of 11 models and 29 sub-models to estimate N losses in a typical oil palm plantation over a 25-year growth cycle, through leaching and runoff, and emissions of NH3, N2, N2O, and NOx . Estimates of total N losses were very variable, ranging from 21 to 139 kg Nha 1 yr 1. On average, 31% of the losses occurred during the first 3 years of the cycle. Nitrate leaching accounted for about 80% of the losses. A comprehensive Morris sensitivity analysis showed the most influential variables to be soil clay content, rooting depth, and oil palm N uptake.We also compared model estimates with published field measurements. Many challenges remain in modelling processes related to the peculiarities of perennial tropical crop systems such as oil palm more accurately.
Fichier principal
Vignette du fichier
2016Pardon-Biogeosciences(1)_{776775CF-4E67-4834-AAB0-796D70DC7C2C}.pdf (6.22 Mo) Télécharger le fichier
Origine : Accord explicite pour ce dépôt
Loading...

Dates et versions

hal-01578289 , version 1 (28-08-2017)

Identifiants

Citer

Lénaïc Pardon, Cécile Bessou, Nathalie Saint-Geours, Benoit Gabrielle, Ni'Matul Khasanah, et al.. Quantifying nitrogen losses in oil palm plantations: models and challenges. Biogeosciences, 2016, 13 (19), pp.5433-5452. ⟨10.5194/bg-13-5433-2016⟩. ⟨hal-01578289⟩
127 Consultations
65 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More