Abstract
Plague, caused by the gram-negative bacterium Yersinia pestis, is a serious and rapidly progressing illness in humans that can be fatal if not treated effectively. The Qinghai-Tibet Plateau is the largest area of natural Himalayan marmot (Marmota himalayana) plague foci in China and covers more than 630000 km2. Akesai County in Gansu Province is a part of this natural focus of plague and was chosen as a study area. Our study used an ecological niche modeling (ENM) approach to predict the potential distribution of the Himalayan marmot. Environment and Disaster Monitor Satellite (HJ-1) data was used to investigate environment factors that affect plague host animal activity. Host animal point data from active surveillance was combined with environmental variables from the HJ-1 satellite and other databases, and the models of the potential distribution of Himalayan marmot were produced with the Genetic Algorithm for Rule-Set Production (GARP). The probability of marmot presence was divided into 0–5%, 5%–20%, 20%–40%, 40%–80%, and 80%–100% subgroups. Areas with 80%-100% probability exhibited the greatest potential for the presence of Himalayan marmot. According to the predicted potential distribution of Himalayan marmot in the study area, active surveillance of plague hosts and plague control and prevention could be more efficient.
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Eisen R, Enscore R, Biggerstaff B, et al. Human plague in the southwestern United States, 1957–2004: Spatial models of elevated risk of human exposure to Yersinia pestis. J Med Ent, 2007, 44: 530–537
Stenseth N, Atshabar B, Begon M, et al. Plague: Past, present, and future. PLoS Med, 2008, 5: 9–13
Zietz B, Dunkelberg H. The history of the plague and the research on the causative agent Yersinia pestis. Int J Hyg Env Health, 2004, 207: 165–178
Gage K, Kosoy M. Natural History of plague: Perspectives from more than a century of research. Ann Rev Ent, 2005, 50: 505–528
Ji S L. Plague (in Chinese). Beijing: People’s Medical Publishing House, 1988
Liu Y P, Tan J A, Shen E L. The Atlas of Plague and Its Environment in the People’s Republic of China. Beijing: Science Press, 2000. 7
Li H Y, Yang L S, Wang W Y, et al. Medical geographical evaluation on 150 years plague epidemic (in Chinese). Progr Geogr, 2001, 20: 73–80
Holt A, Salkeld D, Fritz C, et al. Spatial analysis of plague in California: Niche modeling predictions of the current distribution and potential response to climate change. Int J Health Geogr, 2009, 8: 38
Wang R H. Special disease plague Network Reporting System was officially opened in 2005 (in Chinese). Chin J Contr Endem Dis, 2006, 21: 3
Cao C X, Xu M, Chang C Y, et al. Risk analysis for the highly pathogenic avian influenza in mainland China using meta-modeling. Chin Sci Bull, 2010, doi: 10.1007/s11434-010-4225-x
Cao C X, Chang C Y, Xu M, et al. Epidemic risk analysis after the Wenchuan earthquake using remote sensing. Int J Remote Sens, 2010, 31: 3631–3642
Gao C, Zhou F X. The application prospect of geographic information system for plague control and prevention (in Chinese). Chin J Contr Endem Dis, 1998, 13: 90–92
Huang N B, Li T Y, Wu M T, et al. Preliminary application of “3S” technology in plague epidemic foci, Yunnan Province (in Chinese). Chin J Contr Endem Dis, 2000, 15: 367–368
Fang J, Zhou F X, Liu Z C, et al. Remote sensing technology and its application in plague surveillance (in Chinese). Chin J Contr Endem Dis, 2001, 16: 124–126
Liang J M, Li X Q, Zhou S W, et al. Geographic information system and its application for plague control and prevention (in Chinese). Endem Dis Bull, 2003, 18: 92–94
Fang J, Zhou F X, Zhang G, et al. The application of new technology to use in plague surveillance of S. dauricus focus (in Chinese). Chin J Contr Endem Dis, 2008, 23: 192–195
Neerinckx S, Peterson A, Gulinck H, et al. Geographic distribution and ecological niche of plague in sub-Saharan Africa. Int J Health Geogr, 2008, 7: 54
Adjemian J C Z, Girvetz E H, Beckett L, et al. Analysis of Genetic Algorithm for Rule-Set Production (GARP) modeling approach for predicting distributions of fleas implicated as vectors of plague, Yersinia pestis, in California. J Med Ent, 2006, 43: 93–103
Hijmans R, Cameron S, Parra J, et al. Very high resolution interpolated climate surfaces for global land areas. Int J Climatol, 2005, 25: 1965–1978
Bai Z G. The small satellite constellation A/B for forecasting natural disasters in China (in Chinese). Aeorospace Chin, 2009, 5: 10–15
Peterson A T, Papes M, Eaton M. Transferability and model evaluation in ecological niche modeling: A comparison of GARP and Maxent. Ecography, 2007, 30: 550–560
Shi S M, Liu F Y, Yan X B. Habitat selection by Marmota himalayana in the eastern Qilian Mountains (in Chinese). J Gansu Agricul Univ, 2008, 43: 125–130
Zhu J, Li C, Mu Y. Introduction of Himalayan marmot plague epidemic foci (in Chinese). Endem Dis Bull, 1996, 11: 45–47
Tian F Z. Himalayan marmot plague natural epidemic foci (in Chinese). Chin J Zoon, 2000, 16: 95–97
Zhang A N, Tan D X, Ma D Z. Survey for controling plague epizootic in Zhangye area (in Chinese). Chin J Contr Endem Dis, 2003, 18: 105–106
Zhang N, Zhao Y S. Estimating leaf area index by inversion of reflectance model for semiarid natural grasslands. Sci Chin Ser D-Earth Sci, 2009, 52: 66–84
Knyazikhin Y, Martonchik J, Myneni R, et al. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photo-synthetically active radiation from MODIS and MISR data. J Geophys Res, 1998, 103: 32257–32276
Ceccato P, Flasse S, Gregoire J. Designing a spectral index to estimate vegetation water content from remote sensing data—Part 2. Validation and applications. Remote Sens Environ, 2002, 82: 198–207
Qi S H, Wang C Y, Niu Z. Evaluating soil moisture status in china using the Temperature/Vegetation Dryness Index (TVDI) (in Chinese). J Remote Sens, 2003, 7: 420–427
Peterson A, Sanchez-Cordero V, Beard C, et al. Ecologic niche modeling and potential reservoirs for Chagas disease, Mexico. Emerg Infect Dis, 2002, 8: 662–667
Williams R, Fasina F, Peterson A. Predictable ecology and geography of avian influenza (H5N1) transmission in Nigeria and West Africa. Trans Roy Soc Trop Med Hyg, 2008, 102: 471–479
DesktopGarp. http://www.nkm.ku.edu/desktopgarp, 2010
Anderson R, Lew D, Peterson A. Evaluating predictive models of species’ distributions: Criteria for selecting optimal models. Ecol Model, 2003, 162: 211–232
Kriticos D, Randall R. A Comparison Of Systems To Analyse Potential Weed Distributions. Weed risk assessment. Melbourne: CSIRO Publishing, 2001. 61–67
Yu D Z. The status and development trend of plague surveillance in china (in Chinese). Dis Surv, 2007, 22: 433–435
Stockwell D R B, Peterson A T. Effects of sample size on accuracy of species distribution models. Ecol Model, 2002, 148: 1–13
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Gao, M., Li, X., Cao, C. et al. Spatial prediction and analysis of Himalayan marmot plague natural epidemic foci in China based on HJ-1 satellite data. Sci. China Earth Sci. 53 (Suppl 1), 8–15 (2010). https://doi.org/10.1007/s11430-010-4122-9
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DOI: https://doi.org/10.1007/s11430-010-4122-9