Spatial distribution model of a hantavirus reservoir, the long-tailed colilargo (Oligoryzomys longicaudatus), in Argentina
A 1st step in understanding the ecology of rodents as reservoirs and their relation with the disease they transmit is to determine their geographical distribution. This distribution can be modeled as a function of environmental variables. We georeferenced an extensive database of records of the hant...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00222372_v88_n6_p1555_Carbajo |
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todo:paper_00222372_v88_n6_p1555_Carbajo2023-10-03T14:28:49Z Spatial distribution model of a hantavirus reservoir, the long-tailed colilargo (Oligoryzomys longicaudatus), in Argentina Carbajo, A.E. Pardiñas, U.F.J. Argentina Distribution Generalized linear model Hantavirus reservoir Long-tailed colilargo Oligoryzomys longicaudatus Patagonia ecological modeling frost geographical distribution precipitation (climatology) regression analysis rodent spatial distribution virus Argentina South America Cricetidae Hantavirus Oligoryzomys longicaudatus Oryzomys Rodentia Sigmodontinae A 1st step in understanding the ecology of rodents as reservoirs and their relation with the disease they transmit is to determine their geographical distribution. This distribution can be modeled as a function of environmental variables. We georeferenced an extensive database of records of the hantavirus reservoir Oligoryzomys longicaudatus (Cricetidae: Sigmodontinae) in Argentina and used generalized linear models to model the probability of the presence of this reservoir as a function of environmental variables. The variables used in the multiple logistic regression were temperature, precipitation, evapotranspiration, altitude, tree cover, grass cover, bare soil cover, and distance to rivers, to water bodies, and to roads; 2 phytogeographic classifications also were included. Spatial autocorrelation was considered in the model by including a spatial dependence covariate. The best model included temperature and precipitation as explanatory variables. External validation showed that the model without the space covariate correctly classified 95% of the sites with the rodent and 70% of the sites without it; the model including the spatial term correctly classified 100% of the sites with the rodent and 70% of the sites without it. A secondary model included days with frost and percent cover by bare soil as explanatory variables. O. longicaudatus was recorded in 97% of sites in the High Andean-Subantarctic regions, 65% of sites in the Monte-Espinal-Patagonian regions, and 0% of sites in the Pampean region. © 2007 American Society of Mammalogists. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00222372_v88_n6_p1555_Carbajo |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Argentina Distribution Generalized linear model Hantavirus reservoir Long-tailed colilargo Oligoryzomys longicaudatus Patagonia ecological modeling frost geographical distribution precipitation (climatology) regression analysis rodent spatial distribution virus Argentina South America Cricetidae Hantavirus Oligoryzomys longicaudatus Oryzomys Rodentia Sigmodontinae |
| spellingShingle |
Argentina Distribution Generalized linear model Hantavirus reservoir Long-tailed colilargo Oligoryzomys longicaudatus Patagonia ecological modeling frost geographical distribution precipitation (climatology) regression analysis rodent spatial distribution virus Argentina South America Cricetidae Hantavirus Oligoryzomys longicaudatus Oryzomys Rodentia Sigmodontinae Carbajo, A.E. Pardiñas, U.F.J. Spatial distribution model of a hantavirus reservoir, the long-tailed colilargo (Oligoryzomys longicaudatus), in Argentina |
| topic_facet |
Argentina Distribution Generalized linear model Hantavirus reservoir Long-tailed colilargo Oligoryzomys longicaudatus Patagonia ecological modeling frost geographical distribution precipitation (climatology) regression analysis rodent spatial distribution virus Argentina South America Cricetidae Hantavirus Oligoryzomys longicaudatus Oryzomys Rodentia Sigmodontinae |
| description |
A 1st step in understanding the ecology of rodents as reservoirs and their relation with the disease they transmit is to determine their geographical distribution. This distribution can be modeled as a function of environmental variables. We georeferenced an extensive database of records of the hantavirus reservoir Oligoryzomys longicaudatus (Cricetidae: Sigmodontinae) in Argentina and used generalized linear models to model the probability of the presence of this reservoir as a function of environmental variables. The variables used in the multiple logistic regression were temperature, precipitation, evapotranspiration, altitude, tree cover, grass cover, bare soil cover, and distance to rivers, to water bodies, and to roads; 2 phytogeographic classifications also were included. Spatial autocorrelation was considered in the model by including a spatial dependence covariate. The best model included temperature and precipitation as explanatory variables. External validation showed that the model without the space covariate correctly classified 95% of the sites with the rodent and 70% of the sites without it; the model including the spatial term correctly classified 100% of the sites with the rodent and 70% of the sites without it. A secondary model included days with frost and percent cover by bare soil as explanatory variables. O. longicaudatus was recorded in 97% of sites in the High Andean-Subantarctic regions, 65% of sites in the Monte-Espinal-Patagonian regions, and 0% of sites in the Pampean region. © 2007 American Society of Mammalogists. |
| format |
JOUR |
| author |
Carbajo, A.E. Pardiñas, U.F.J. |
| author_facet |
Carbajo, A.E. Pardiñas, U.F.J. |
| author_sort |
Carbajo, A.E. |
| title |
Spatial distribution model of a hantavirus reservoir, the long-tailed colilargo (Oligoryzomys longicaudatus), in Argentina |
| title_short |
Spatial distribution model of a hantavirus reservoir, the long-tailed colilargo (Oligoryzomys longicaudatus), in Argentina |
| title_full |
Spatial distribution model of a hantavirus reservoir, the long-tailed colilargo (Oligoryzomys longicaudatus), in Argentina |
| title_fullStr |
Spatial distribution model of a hantavirus reservoir, the long-tailed colilargo (Oligoryzomys longicaudatus), in Argentina |
| title_full_unstemmed |
Spatial distribution model of a hantavirus reservoir, the long-tailed colilargo (Oligoryzomys longicaudatus), in Argentina |
| title_sort |
spatial distribution model of a hantavirus reservoir, the long-tailed colilargo (oligoryzomys longicaudatus), in argentina |
| url |
http://hdl.handle.net/20.500.12110/paper_00222372_v88_n6_p1555_Carbajo |
| work_keys_str_mv |
AT carbajoae spatialdistributionmodelofahantavirusreservoirthelongtailedcolilargooligoryzomyslongicaudatusinargentina AT pardinasufj spatialdistributionmodelofahantavirusreservoirthelongtailedcolilargooligoryzomyslongicaudatusinargentina |
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