Modeling the Potential Distribution of Bacillus anthracis under Multiple Climate Change Scenarios for Kazakhstan

被引:57
作者
Joyner, Timothy Andrew [1 ,2 ]
Lukhnova, Larissa [3 ]
Pazilov, Yerlan [3 ]
Temiralyeva, Gulnara [3 ]
Hugh-Jones, Martin E. [4 ]
Aikimbayev, Alim [3 ]
Blackburn, Jason K. [1 ,2 ]
机构
[1] Univ Florida, Emerging Pathogens Inst, Gainesville, FL 32611 USA
[2] Univ Florida, Dept Geog, Gainesville, FL 32611 USA
[3] Kazakh Sci Ctr Quarantine & Zoonot Dis, Alma Ata, Kazakhstan
[4] Louisiana State Univ, Sch Coast & Environm, Dept Environm Sci, Baton Rouge, LA 70803 USA
关键词
SPECIES DISTRIBUTIONS; PREDICTING DISTRIBUTIONS; GEOGRAPHIC DISTRIBUTIONS; SNOW ACCUMULATION; NORTHERN EURASIA; COUPLED MODEL; NICHE; GARP; RANGE; POPULATION;
D O I
10.1371/journal.pone.0009596
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Anthrax, caused by the bacterium Bacillus anthracis, is a zoonotic disease that persists throughout much of the world in livestock, wildlife, and secondarily infects humans. This is true across much of Central Asia, and particularly the Steppe region, including Kazakhstan. This study employed the Genetic Algorithm for Rule-set Prediction (GARP) to model the current and future geographic distribution of Bacillus anthracis in Kazakhstan based on the A2 and B2 IPCC SRES climate change scenarios using a 5-variable data set at 55 km(2) and 8 km(2) and a 6-variable BioClim data set at 8 km(2). Future models suggest large areas predicted under current conditions may be reduced by 2050 with the A2 model predicting similar to 14-16% loss across the three spatial resolutions. There was greater variability in the B2 models across scenarios predicting similar to 15% loss at 55 km 2, similar to 34% loss at 8 km 2, and similar to 30% loss with the BioClim variables. Only very small areas of habitat expansion into new areas were predicted by either A2 or B2 in any models. Greater areas of habitat loss are predicted in the southern regions of Kazakhstan by A2 and B2 models, while moderate habitat loss is also predicted in the northern regions by either B2 model at 8 km(2). Anthrax disease control relies mainly on livestock vaccination and proper carcass disposal, both of which require adequate surveillance. In many situations, including that of Kazakhstan, vaccine resources are limited, and understanding the geographic distribution of the organism, in tandem with current data on livestock population dynamics, can aid in properly allocating doses. While speculative, contemplating future changes in livestock distributions and B. anthracis spore promoting environments can be useful for establishing future surveillance priorities. This study may also have broader applications to global public health surveillance relating to other diseases in addition to B. anthracis.
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页数:15
相关论文
共 91 条
[1]  
Adjemian JCZ, 2006, J MED ENTOMOL, V43, P93, DOI 10.1603/0022-2585(2006)043[0093:AOGAFR]2.0.CO
[2]  
2
[3]  
AIKEMBAYEV A, 2010, EMERGING IN IN PRESS
[4]   Global observed changes in daily climate extremes of temperature and precipitation [J].
Alexander, LV ;
Zhang, X ;
Peterson, TC ;
Caesar, J ;
Gleason, B ;
Tank, AMGK ;
Haylock, M ;
Collins, D ;
Trewin, B ;
Rahimzadeh, F ;
Tagipour, A ;
Kumar, KR ;
Revadekar, J ;
Griffiths, G ;
Vincent, L ;
Stephenson, DB ;
Burn, J ;
Aguilar, E ;
Brunet, M ;
Taylor, M ;
New, M ;
Zhai, P ;
Rusticucci, M ;
Vazquez-Aguirre, JL .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2006, 111 (D5)
[5]   Evaluating predictive models of species' distributions: criteria for selecting optimal models [J].
Anderson, RP ;
Lew, D ;
Peterson, AT .
ECOLOGICAL MODELLING, 2003, 162 (03) :211-232
[6]  
[Anonymous], 2002, CSIRO MK3 CLIMATE SY
[7]  
[Anonymous], 2000, EMISSIONS SCENARIOS
[8]   Climate change and global water resources: SRES emissions and socio-economic scenarios [J].
Arnell, NW .
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2004, 14 (01) :31-52
[9]  
ATZMANSTORFER K, 2007, GEOINFORMATION DEV B
[10]   A climate change index: Where climate change may be most prominent in the 21st century [J].
Baettig, Michele B. ;
Wild, Martin ;
Imboden, Dieter M. .
GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (01)