Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Accueil du site → Master → Pays Bas → Quantifying spatial and temporal patterns of the water related yield gap, using synoptic data and a dynamic crop growth model PSn : a case study of sunflower in Andalucia, Spain

International Institute for Geo-Information Science and Earth Observation (ITC) 2008

Quantifying spatial and temporal patterns of the water related yield gap, using synoptic data and a dynamic crop growth model PSn : a case study of sunflower in Andalucia, Spain

Tran Van, T. (Tuan)

Titre : Quantifying spatial and temporal patterns of the water related yield gap, using synoptic data and a dynamic crop growth model PSn : a case study of sunflower in Andalucia, Spain.

Auteur : Tran Van, T. (Tuan)

Etablissement de soutenance : University of Twente International Institute for Geo-Information Science and Earth Observation (ITC)

Grade : Master of Science in Geo-Information Science and Earth Observation 2008

Résumé
Various approaches and methods have been developed to quantify yield gap constraints to crop production. Among land factors, water plays an important role in determining yield gap, especially in regions where land management factors are homogeneous. The aim of this study is to quantify the spatial and temporal patterns of the water related yield gap by using synoptic data and a dynamic Crop Growth Model. A combination of data from weather station and remote sensing data (from MODIS imageries) were applied to calculate the potential and water limited yields of sunflower in Andalucia for 5 years (2001 – 2005) by Production Situation Model ( PSn) level 1 and 2. Point results were extrapolated to the region using regression models with Gross Primary Productivity (GPP) and Net Primary Productivity (NPP) from MODIS imageries . PSn model successfully identified the variability of potential and water limited yields of sunflower in space and time. Using remote sensing data, it is possible to extrapolate this variability to broader scale. The output maps of water limited yield gap prove th at water is a main limiting factor causing yield gap for sunflower in Andalucia. For every year, this factor contributed more than 60% to overall yield gap of sunflower in most areas. Thus, less than 40% of overall yield gap was caused by other limiting factors of land and management. Map produced by this study could be a reference for farmers and decision makers in improving the production of sunflower in Andalucia.

Mots clés : PSn model, Water limited yield, yield gap, sunflow er, Andalucia

Version intégrale (ITC)

Page publiée le 31 janvier 2018