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Climatic similarity and biological exchange in the worldwide airline transportation network.

Abstract:
Recent increases in the rates of biological invasion and spread of infectious diseases have been linked to the continued expansion of the worldwide airline transportation network (WAN). Here, the global structure of the WAN is analysed in terms of climatic similarity to illuminate the risk of deliberate or accidental movements of climatically sensitive organisms around the world. From over 44,000 flight routes, we show, for each month of an average year, (i) those scheduled routes that link the most spatially distant but climatically similar airports, (ii) the climatically best-connected airports, and (iii) clusters of airports with similar climatic features. The way in which traffic volumes alter these findings is also examined. Climatic similarity across the WAN is skewed (most geographically close airports are climatically similar) but heavy-tailed (there are considerable numbers of geographically distant but climatically similar airports), with climate similarity highest in the June-August period, matching the annual peak in air traffic. Climatically matched, geographically distant airports form subnetworks within the WAN that change throughout the year. Further, the incorporation of passenger and freight traffic data highlight at greater risk of invasion those airports that are climatically well connected by numerous high capacity routes.
Publication status:
Published

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Publisher copy:
10.1098/rspb.2007.0148

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author


Publisher:
The Royal Society
Journal:
Proceedings. Biological sciences / The Royal Society More from this journal
Volume:
274
Issue:
1617
Pages:
1489-1496
Publication date:
2007-06-01
Acceptance date:
2007-03-22
DOI:
EISSN:
1471-2954
ISSN:
0962-8452


Language:
English
Keywords:
Pubs id:
pubs:209662
UUID:
uuid:0d4def6a-0a09-4eff-8ad9-f1e36b7ea5de
Local pid:
pubs:209662
Source identifiers:
209662
Deposit date:
2013-11-16
ARK identifier:

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