Agritrop
Accueil

Influence of environnemental and agronomic factors on the LAI dynamics of coffee agroforestry systems of Costa Rica

Taugourdeau Simon, Le Maire Guerric, Roupsard Olivier, Avelino Jacques, Marsden Claire, Gomez Delgado Federico, Meylan Louise, Jones Jeffrey R., Rapidel Bruno, Vaast Philippe, Harmand Jean-Michel. 2010. Influence of environnemental and agronomic factors on the LAI dynamics of coffee agroforestry systems of Costa Rica. In : Proceedings of Agro 2010 : the XIth ESA Congress, August 29th - September 3rd, 2010, Montpellier, France. Wery Jacques (ed.), Shili-Touzi I. (ed.), Perrin A. (ed.). Montpellier : Agropolis international, 763-764. ISBN 978-2-909613-01-7 ESA Congress. 11, Montpellier, France, 29 Août 2010/3 Septembre 2010.

Communication avec actes
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
ID557386.pdf

Télécharger (1MB)

Résumé : Coffee (Coffea arabica L.) is one of the most important global commodities and employs 125 million people, mostly in the tropics. Coffee production systems vary widely, from monocultures to diversified agroforests, managed at a range of intensification levels (from organic coffee with low inputs up to very intensive systems). These different systems are not equivalent in terms of profitability and provision of ecosystem services (ES) (production, carbon sequestration, erosion control...). In order to facilitate the remuneration of ES provided by these plantations, it is recommended to evaluate the provision of services either directly or indirectly using indicators or models (MEA, 2005). The leaf area index or LAI is defined as the leaf area per unit of soil area. Our working hypothesis is to consider that plantation LAI is an integrated indicator of ES: leaf area determines light interception, gas exchange and hence primary productivity, and LAI can be related to the filling of fruit (yield), to the annual input of litter to soil (C cycle and soil OM) and to rain interception (erosion control). The LAI of coffee is affected by the quantity of light it receives (Righi et al., 2007) and varies significantly between different levels of shading in agroforestry systems. Coffee is pruned annually following different methods (per line, selective ...). Coffee LAI varies between dry and wet seasons (Mendez et al., 2009). Seasonal variations of LAI are explained by intrinsic phenology variations, soil moisture (Siles et al. 2010) or by the agricultural calendar. Most previous studies of agroforestry coffee LAI were performed at the experimental plot scale. In contrast, we propose to explore the plant, plot and farm scales, using a combination of satellite images with high and low spatial and temporal resolution, and to study temporal series in contrasting conditions (climate, degree of shade or management). On these images, we recorded the variation of a vegetation index (Normalized Difference Vegetation Index, NDVI) which can be correlated to LAI (Curran 1980). The process requires field calibration and specific efforts for the separation of shade tree and coffee LAI. The aim of our study is to make a step towards the understanding of the relationships between environmental or agricultural factors and the LAI of coffee agroforestry systems, and to test the capacity of remotely-sensed LAI to be used as an indicator of performance and provision of ecosystem services.

Mots-clés Agrovoc : Coffea arabica, agroforesterie

Mots-clés géographiques Agrovoc : Costa Rica

Mots-clés complémentaires : Service environnemental

Classification Agris : F08 - Systèmes et modes de culture
K01 - Foresterie - Considérations générales

Auteurs et affiliations

  • Taugourdeau Simon ORCID: 0000-0001-6561-3228
  • Le Maire Guerric, CIRAD-PERSYST-UPR Ecosystèmes de plantations (FRA) ORCID: 0000-0002-5227-958X
  • Roupsard Olivier, CIRAD-PERSYST-UPR Ecosystèmes de plantations (CRI)
  • Avelino Jacques, CIRAD-BIOS-UPR Bioagresseurs de pérennes (CRI) ORCID: 0000-0003-1983-9431
  • Marsden Claire
  • Gomez Delgado Federico
  • Meylan Louise, CIRAD-PERSYST-UMR SYSTEM (CRI)
  • Jones Jeffrey R., CATIE (CRI)
  • Rapidel Bruno, CIRAD-PERSYST-UMR SYSTEM (CRI) ORCID: 0000-0003-0288-5650
  • Vaast Philippe, CIRAD-PERSYST-UPR Ecosystèmes de plantations (IND)
  • Harmand Jean-Michel, CIRAD-PERSYST-UPR Ecosystèmes de plantations (FRA) ORCID: 0000-0002-8065-106X

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/557386/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-03-24 ]