Assessment of the impact of climate change on the olive flowering in Calabria (southern Italy)

被引:31
作者
Avolio, Elenio [1 ]
Orlandi, Fabio [2 ]
Bellecci, Carlo [3 ,4 ]
Fornaciari, Marco [2 ]
Federico, Stefano [1 ]
机构
[1] Italian Natl Res Council ISAC CNR, Sect Lamezia Terme, Inst Atmospher Sci & Climate, Lamezia Terme, Italy
[2] Univ Perugia, Dept Appl Biol, I-06100 Perugia, Italy
[3] CRATI Scrl, Arcavacata Di Rende, Italy
[4] Univ Roma Tor Vergata, Dept Mech Engn, Rome, Italy
关键词
LAST GLACIAL MAXIMUM; MODEL SIMULATION; POLLEN SEASON; UMBRIA; SCALE; PARAMETERIZATION; ANDALUSIA; HYDROLOGY; TREES;
D O I
10.1007/s00704-011-0500-2
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In phenological studies, plant development and its relationship with meteorological conditions are considered in order to investigate the influence of climatic changes on the characteristics of many crop species. In this work, the impact of climate change on the flowering of the olive tree (Olea europaea L.) in Calabria, southern Italy, has been studied. Olive is one of the most important plant species in the Mediterranean area and, at the same time, Calabria is one of the most representative regions of this area, both geographically and climatically. The work is divided into two main research activities. First, the behaviour of olive tree in Calabria and the influence of temperature on phenological phases of this crop are investigated. An aerobiological method is used to determine the olive flowering dates through the analysis of pollen data collected in three experimental fields for an 11-year study period (1999-2009). Second, the study of climate change in Calabria at high spatial and temporal resolution is performed. A dynamical downscaling procedure is applied for the regionalization of large-scale climate analysis derived from general circulation models for two representative climatic periods (1981-2000 and 2081-2100); the A2 IPCC scenario is used for future climate projections. The final part of this work is the integration of the results of the two research activities to predict the olive flowering variation for the future climatic conditions. In agreement with our previous works, we found a significant correlation between the phenological phases and temperature. For the twenty-first century, an advance of pollen season in Calabria of about 9 days, on average, is expected for each degree of temperature rise. From phenological model results, on the basis of future climate predictions over Calabria, an anticipation of maximum olive flowering between 10 and 34 days is expected, depending on the area. The results of this work are useful for adaptation and mitigation strategies, and for making concrete assessments about biological and environmental changes.
引用
收藏
页码:531 / 540
页数:10
相关论文
共 47 条
[1]   Long-term phyto-, ornitho- and ichthyophenological time-series analyses in Estonia [J].
Ahas, R .
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 1999, 42 (03) :119-123
[2]  
[Anonymous], CCCMA 3 GENERATION A
[3]   Correlation between large-scale atmospheric fields and the olive pollen season in Central Italy [J].
Avolio, E. ;
Pasqualoni, L. ;
Federico, S. ;
Fornaciari, M. ;
Bonofiglio, T. ;
Orlandi, F. ;
Bellecci, C. ;
Romano, B. .
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2008, 52 (08) :787-796
[4]   Bases and limits to using 'degree.day' units [J].
Bonhomme, R .
EUROPEAN JOURNAL OF AGRONOMY, 2000, 13 (01) :1-10
[5]   Phenological changes reflect climate change in Wisconsin [J].
Bradley, NL ;
Leopold, AC ;
Ross, J ;
Huffaker, W .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1999, 96 (17) :9701-9704
[6]   Simulating streamflow response to climate scenarios in central Canada using a simple statistical downscaling method [J].
Choi, Woonsup ;
Rasmussen, Peter F. ;
Moore, Adam R. ;
Kim, Sung Joon .
CLIMATE RESEARCH, 2009, 40 (01) :89-102
[7]   Evaluating the performance and utility of regional climate models: the PRUDENCE project [J].
Christensen, Jens H. ;
Carter, Timothy R. ;
Rummukainen, Markku ;
Amanatidis, Georgios .
CLIMATIC CHANGE, 2007, 81 (Suppl 1) :1-6
[8]   Fitting models predicting dates of flowering of temperate-zone trees using simulated annealing [J].
Chuine, I ;
Cour, P ;
Rousseau, DD .
PLANT CELL AND ENVIRONMENT, 1998, 21 (05) :455-466
[9]  
Colacino M, 1997, ELEMENTI CLIMATOLOGI
[10]   RAMS 2001: Current status and future directions [J].
Cotton, WR ;
Pielke, RA ;
Walko, RL ;
Liston, GE ;
Tremback, CJ ;
Jiang, H ;
McAnelly, RL ;
Harrington, JY ;
Nicholls, ME ;
Carrio, GG ;
McFadden, JP .
METEOROLOGY AND ATMOSPHERIC PHYSICS, 2003, 82 (1-4) :5-29