Regional phenological models for forecasting the start and peak of the Quercus pollen season in Spain

被引:43
|
作者
Garcia-Mozo, H. [1 ]
Chuine, I. [2 ]
Aira, M. J. [3 ]
Belmonte, J. [4 ]
Bermejo, D. [5 ]
de la Guardia, C. Diaz [6 ]
Elvira, B.
Gutierrez, M. [7 ]
Rodriguez-Rajo, J. [3 ]
Ruiz, L. [8 ]
Trigo, M. M. [9 ]
Tormo, R. [10 ]
Valencia, R. [11 ]
Galan, C. [1 ]
机构
[1] Univ Cordoba, Dept Bot Ecol & Fisiol Vegetal, E-14071 Cordoba, Spain
[2] CNRS Montpellier, Ctr Ecol Fonctionnelle & Evolut, Montpellier, France
[3] Univ Vigo, Dept Biol Vegetal & Ciencias Suelo, Orense 32004, Spain
[4] Univ Autonoma Barcelona, Fac Ciencias, Unidad Bot, E-08193 Barcelona, Spain
[5] Colegio Farmaceut Zaragoza, Zaragoza, Spain
[6] Univ Granada, Fac Ciencias, Dept Biol Vegetal, E-18001 Granada, Spain
[7] Univ Complutense Madrid, Dept Biol Vegetal 2, E-28040 Madrid, Spain
[8] Univ Jaen, Dept Biol Anim Vegetal & Ecol, Jaen 23071, Spain
[9] Univ Malaga, Fac Ciencias, Dept Biol Vegetal, Malaga 29080, Spain
[10] Univ Extremadura, Escuela Univ Ingn Tecn Agricola, Badajoz, Spain
[11] Univ Leon, Fac Biol, Dept Biol, E-24071 Leon, Spain
关键词
oak forest; Quercus; phenology; pollen; aerobiology; modelling;
D O I
10.1016/j.agrformet.2007.09.013
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The study sought to achieve the broadest possible spatial and temporal predictions by examining genetic variations in the timing of flowering between populations of the Iberian Quercus species using pollen data from 15 sites in Spain. The specific objective of the study was to develop and fit regional phenological model to predict the flowering start and flowering peak of Quercus species in the Iberian Peninsula by ascertaining whether potentially significant genetic variations in the timing of flowering required different phenological models or if, on the contrary, regional models for several localities can explain the variability detected in Quercus phenology in Spain. Model estimates did not vary greatly as a function of environment within similar climate areas where the same species grew; thus, model estimates of the temperature response of individuals growing in similar climate areas did not differ significantly. The percentage of variance explained by models was greater in models fitted with local data (75-97%). Nevertheless, acceptable results were also obtained using regional models (55-85%). The lowest value was found for the Simplifed Model including all Spanish sites together (51%). (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:372 / 380
页数:9
相关论文
共 32 条
  • [1] Phenological behaviour of Quercus in Ourense (NW Spain) and its relationship with the atmospheric pollen season
    Jato, V
    Rodríguez-Rajo, FJ
    Méndez, J
    Aira, MJ
    INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2002, 46 (04) : 176 - 184
  • [2] Phenological behaviour of Quercus in Ourense (NW Spain) and its relationship with the atmospheric pollen season
    V. Jato
    F. Rodríguez-Rajo
    J. Méndez
    M. Aira
    International Journal of Biometeorology, 2002, 46 : 176 - 184
  • [3] Forecasting the start of Quercus pollen season using several methods – the evaluation of their efficiency
    Idalia Kasprzyk
    International Journal of Biometeorology, 2009, 53
  • [4] Forecasting the start of Quercus pollen season using several methods - the evaluation of their efficiency
    Kasprzyk, Idalia
    INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2009, 53 (04) : 345 - 353
  • [5] Predicting the start and peak dates of the Poaceae pollen season in Spain using process-based models
    Garcia-Mozo, H.
    Galan, C.
    Belmonte, J.
    Bermejo, D.
    Candau, P.
    de la Guardia, C. Diaz
    Elvira, B.
    Gutierrez, M.
    Jato, V.
    Silva, I.
    Trigo, M. M.
    Valencia, R.
    Chuine, I.
    AGRICULTURAL AND FOREST METEOROLOGY, 2009, 149 (02) : 256 - 262
  • [6] Forecasting the Start and End of Pollen Season in Madrid
    Navares, Ricardo
    Luis Aznarte, Jose
    ADVANCES IN TIME SERIES ANALYSIS AND FORECASTING, 2017, : 387 - 399
  • [7] Models to predict the start of the airborne pollen season
    Consolata Siniscalco
    Rosanna Caramiello
    Mirco Migliavacca
    Lorenzo Busetto
    Luca Mercalli
    Roberto Colombo
    Andrew D. Richardson
    International Journal of Biometeorology, 2015, 59 : 837 - 848
  • [8] Models to predict the start of the airborne pollen season
    Siniscalco, Consolata
    Caramiello, Rosanna
    Migliavacca, Mirco
    Busetto, Lorenzo
    Mercalli, Luca
    Colombo, Roberto
    Richardson, Andrew D.
    INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2015, 59 (07) : 837 - 848
  • [9] Regional variations in the pollen season of Betula in Burgundy: Two models for predicting the start of the pollination
    Laaidi M.
    Aerobiologia, 2001, 17 (3) : 247 - 254
  • [10] A comparative study of different temperature accumulation methods for predicting the start of the Quercus pollen season in Cordoba (South West Spain)
    Garcia-Mozo, H
    Galan, C
    Gomez-Casero, MT
    Dominguez-Vilches, E
    GRANA, 2000, 39 (04) : 194 - 199