Download full-text PDF

Modelización del ciclo fenológico reproductor del olivo (Olea europaea L.)

Thesis · February 2014with3,355 Reads
DOI: 10.13140/RG.2.1.2690.8327
Thesis for: PhD on Biology (Cum laude mention; International mention), Advisor: Carmen Galán, Herminia García-Mozo
  • Jose Oteros at Technische Universität München; Helmholtz Zentrum München
    • 29.22
    • Technische Universität München; Helmholtz Zentrum München
The olive (Olea europaea L.) is the leading commercial tree crop in the Mediterranean area. Its reproductive cycle displays considerable variations due to inherent genetic factors but also to climate response. This thesis provides a detailed analysis and modelling of the olive reproductive cycle and its response to a range of environmental variables in the southern Iberian Peninsula. Analysis was based on phenological, aerobiological and meteorological data recorded over the last 30 years in the province of Córdoba (Andalusia, Spain), the second-largest olive-oil-producing province in Andalusia, which is in turn the world’s largest producing region. A more thorough knowledge of the factors governing year-on-year changes in olive flowering and fruit production is clearly of agricultural interest. It is also useful for medical purposes—since olive pollen is highly allergenic—and for ecological reasons, given that the wild olive Olea europaea var. sylvestris Brot., is a characteristic shrub used as a bioindicator for Mediterranean ecosystem. Although the thesis focuses mainly on the behaviour and phenological response of the olive tree in the province of Córdoba, Chapter IV offers an overview of olive production in the Mediterranean area, drawing on data for Andalusia (Spain), Italy and Tunisia. A statistical analysis is made of the correlations between various environmental factors and critical features of the olive reproductive cycle (flowering intensity, floral phenology and fruit production). The results are used in the construction of models to describe and predict the reproductive cycle, from the earliest phases through to harvest. These models are of considerable scientific interest and can readily be transferred for social applications, since they enable the prediction—several months in advance—of major biological events such as the timing, duration and intensity of flowering and the volume of fruit production. Chapters I and II “Biometeorological and autoregressive indices for predicting olive pollen intensity” and “Year clustering analysis for modelling olive flowering phenology” analyse variables relating to flowering intensity, expressed in this anemophilous species by the Pollen Index. The first chapter focuses specifically on the construction of indices to account for year-on-year variations in olive flowering intensity, while in the second chapter a cluster analysis is used to group years with similar meteorological and phenological characteristics and to distinguish those variables most influencing floral phenology, and more particularly flowering intensity. In Chapter 1, pollen production is modelled using bioclimatic and autoregressive indices which account for the influence and impact of a range of environmental variables. The method designed for the construction of these indices enables analysis of the role played by extreme weather events in flowering. The autoregressive index provides crucial information on the dynamics of the olive reproductive cycle. For the mathematical modelling of flowering intensity in Chapter II, a “three-step method” is used, consisting in grouping using a clustering technique, classification using artificial neural networks, and modelling using partial least squares regression. The findings show that the environmental variables most affecting and governing flowering intensity in the province of Córdoba are rainfall during the period prior to flowering and temperature during the month of March. Effective models are also constructed to predict pollen emission intensity; these are especially valuable in preventing symptoms in patients allergic to olive pollen. Chapter III “Modelling olive phenological response to weather and topography” examines the environmental factors affecting each phase of the olive’s floral phenology in the province of Córdoba. The topographical and meteorological variables most influencing the response of different local olive populations and varieties are identified. The topographical factors most affecting reproductive phenology are altitude and East-west orientation of the steepest slope, while the most important weather-related variables are winter temperature, spring temperature and water availability during reproductive organ development. Finally, Chapter IV “Better prediction of Mediterranean olive production using pollen-based models” analyses the factors that determine olive fruit production in the Mediterranean Basin, focussing on Andalusia—Spain’s largest olive-producing region—Italy and Tunisia; for this purpose, for this purpose, flowering intensity and weather-related factors are taken as the major variables Harvest size is modelled using data from the world’s largest olive-oil-producing regions, in order to draw overall conclusions regarding the bioclimatological characterization of the olive, with a view to enabling the construction of regional prediction models applicable to the Mediterranean Basin as a whole. The results of this thesis help to improve the bioclimatic characterisation of the olive, as well as contributing to our knowledge both of the olive’s response to environmental conditions and of the biology of its reproductive cycle. The results were obtained using new, purpose-designed statistical methods which will be useful in future research both in the study area and in other olive-producing regions, and may provide a basis for the phenological modelling of other tree species.
Tesis Oteros Olivo.pdf

9.7 MB

Sorry, there is no online preview for this file type.

To view this thesis, please download it below.

establishing a fully automatic pollen monitoring network in Bavaria, Germany
Spatially and temporally evaluate and forecast the fungal spore distribution across Bavaria, Germany
This project created an inventory on pollen monitoring in the world. The map is an interactive application. The map is free of charge. Anybody can upload his own pollen monitoring station onto the …" [more]
Conference Paper
September 2012
    . Introduction It is now widely accepted that weather conditions occurring several months prior to the onset of flowering have a major influence on various aspects of olive reproductive phenology, including flowering intensity. Given the variable characteristics of the Mediterranean climate, we analyse variations in olive flowering intensity in southern Spain, and relate them to previous... [Show full abstract]
    Conference Paper
    September 2014
      Background Olive tree in the Mediterranean area is one of the most important crops with a great surface devoted to. The effects of the climate change on the Mediterranean area are characterized by both an increase of temperature and lower but more torrential rainfall. The main goal has been identifying significant changes on the olive reproductive cycle in South Spain, and the effect of... [Show full abstract]
      March 2013 · International Journal of Biometeorology · Impact Factor: 3.25
        This paper reports on modelling to predict airborne olive pollen season severity, expressed as a pollen index (PI), in Córdoba province (southern Spain) several weeks prior to the pollen season start. Using a 29-year database (1982-2010), a multivariate regression model based on five indices-the index-based model-was built to enhance the efficacy of prediction models. Four of the indices used... [Show full abstract]
        January 1999
          A comparative analysis of the aerobiological behavior of Olea europaea L. pollen at different sites in Spain was made. A Hirst-type suction sampler was used at all sites. The results highlighted the irregular distribution of this taxon in the Iberian Peninsula. The largest olive growing areas are located in Andalucia, mainly in the provinces of Jaén and Córdoba where the highest pollen... [Show full abstract]
          July 2013 · International Journal of Biometeorology · Impact Factor: 3.25
            It is now widely accepted that weather conditions occurring several months prior to the onset of flowering have a major influence on various aspects of olive reproductive phenology, including flowering intensity. Given the variable characteristics of the Mediterranean climate, we analyse its influence on the registered variations in olive flowering intensity in southern Spain, and relate them... [Show full abstract]
            Discover more