Abundance and distribution of fleas on desert rodents: linking Taylor's power law to ecological specialization and epidemiology
We investigated variation in the abundance-prevalence relationships of fleas among 17 different flea-host associations as well as among different species of hosts and fleas in the Negev desert. We explored variation in the value of exponent of Taylor's power relationship with changes in flea co...
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Published in | Parasitology Vol. 131; no. 6; pp. 825 - 837 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Cambridge, UK
Cambridge University Press
01.12.2005
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Abstract | We investigated variation in the abundance-prevalence relationships of fleas among 17 different flea-host associations as well as among different species of hosts and fleas in the Negev desert. We explored variation in the value of exponent of Taylor's power relationship with changes in flea community size and flea specialization (host specificity and seasonal pattern of activity). We tested if a simple epidemiological model can reproduce the pattern of the abundance-prevalence relationship. We confirmed aggregated distribution of fleas within a population of host species as well as across a whole host community and the existence of a positive relationship between local flea abundance and their prevalence. Prevalence, mean abundance and variance of abundance were significantly higher in host specific than host opportunistic fleas. When ecological specialization was considered, based on a seasonal pattern of activity, these parameters were higher in year-round-active than seasonal fleas. The degree of flea specialization and flea community richness affected the pattern of the relationship between mean abundance and its variance. Power law slopes decreased with increasing richness of flea community. A simple epidemiological model based on mean flea abundance and degree of aggregation, corrected for host sample size, can predict the observed pattern of prevalence. In some cases, observed flea prevalence was higher than that predicted from the epidemiological model. The discrepancy of the observed prevalence from that predicted by the model can be explained by either a relatively low negative effect of flea parasitism on a host (at least, in terms of pathology) or strong resistance of a host to flea parasitism or both. |
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AbstractList | We investigated variation in the abundance-prevalence relationships of fleas among 17 different flea-host associations as well as among different species of hosts and fleas in the Negev desert. We explored variation in the value of exponent of Taylor's power relationship with changes in flea community size and flea specialization (host specificity and seasonal pattern of activity). We tested if a simple epidemiological model can reproduce the pattern of the abundance-prevalence relationship. We confirmed aggregated distribution of fleas within a population of host species as well as across a whole host community and the existence of a positive relationship between local flea abundance and their prevalence. Prevalence, mean abundance and variance of abundance were significantly higher in host specific than host opportunistic fleas. When ecological specialization was considered, based on a seasonal pattern of activity, these parameters were higher in year-round-active than seasonal fleas. The degree of flea specialization and flea community richness affected the pattern of the relationship between mean abundance and its variance. Power law slopes decreased with increasing richness of flea community. A simple epidemiological model based on mean flea abundance and degree of aggregation, corrected for host sample size, can predict the observed pattern of prevalence. In some cases, observed flea prevalence was higher than that predicted from the epidemiological model. The discrepancy of the observed prevalence from that predicted by the model can be explained by either a relatively low negative effect of flea parasitism on a host (at least, in terms of pathology) or strong resistance of a host to flea parasitism or both. We investigated variation in the abundance-prevalence relationships of fleas among 17 different flea-host associations as well as among different species of hosts and fleas in the Negev desert. We explored variation in the value of exponent of Taylor's power relationship with changes in flea community size and flea specialization (host specificity and seasonal pattern of activity). We tested if a simple epidemiological model can reproduce the pattern of the abundance-prevalence relationship. We confirmed aggregated distribution of fleas within a population of host species as well as across a whole host community and the existence of a positive relationship between local flea abundance and their prevalence. Prevalence, mean abundance and variance of abundance were significantly higher in host specific than host opportunistic fleas. When ecological specialization was considered, based on a seasonal pattern of activity, these parameters were higher in year-round-active than seasonal fleas. The degree of flea specialization and flea community richness affected the pattern of the relationship between mean abundance and its variance. Power law slopes decreased with increasing richness of flea community. A simple epidemiological model based on mean flea abundance and degree of aggregation, corrected for host sample size, can predict the observed pattern of prevalence. In some cases, observed flea prevalence was higher than that predicted from the epidemiological model. The discrepancy of the observed prevalence from that predicted by the model can be explained by either a relatively low negative effect of flea parasitism on a host (at least, in terms of pathology) or strong resistance of a host to flea parasitism or both. [PUBLICATION ABSTRACT] |
Author | MORAND, S. KHOKHLOVA, I. S. SHENBROT, G. I. KRASNOV, B. R. HAWLENA, H. |
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Keywords | prevalence Taylor's power law fleas rodents abundance Prevalence Insecta Rodentia Parasite Epidemiology Vertebrata Specialization Mammalia Arthropoda Siphonaptera Desert Ectoparasite Invertebrata |
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References | ref029 ref008 Anderson (ref001) 1982; 85 ref005 ref049 ref025 ref047 ref026 Garland (ref015) 1992; 41 Nee (ref039) 1991; 62 Madhavi (ref032) 1985; 91 Perry (ref041) 1986; 55 Krasnov (ref028) 2002; 83 Krasnov (ref027) 1999; 45 Taylor (ref056) 1979; 48 Boeken (ref007) 1998; 21 Shaw (ref048) 1995; 111 ref012 Khokhlova (ref023) 2002; 258 Taylor (ref052) 1961; 189 ref030 Anderson (ref003) 1979; 79 ref053 Gaston (ref018) 1997; 66 ref051 Taylor (ref054) 1980; 49 ref036 ref014 Anderson (ref002) 1978; 47 Gaston (ref016) 1999; 86 Barger (ref006) 2002; 88 ref045 Morand (ref037) 1993; 74 ref024 ref046 May (ref034) 1978; 47 Taylor (ref055) 1978; 47 ref044 Williamson (ref057) 1999; 22 Hanski (ref019) 1982; 38 ref042 Keymer (ref022) 1982; 84 Anderson (ref004) 1985; 24 Perry (ref040) 1988; 51 |
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SubjectTerms | abundance Animals Biological and medical sciences Comparative analysis Cross-Sectional Studies desert animals Desert Climate Deserts Ecosystem ectoparasites Ectoparasitic Infestations - epidemiology Ectoparasitic Infestations - parasitology Ectoparasitic Infestations - veterinary epidemiological models Epidemiology flea infestations fleas Fundamental and applied biological sciences. Psychology General aspects General aspects and techniques. Study of several systematic groups. Models Gerbillinae - parasitology host specificity Host-Parasite Interactions host-parasite relationships Insecta Invertebrates Israel - epidemiology Mice Models, Biological Murinae - parasitology Negev Desert Parasites Parasitism population density Prevalence Rats Regression Analysis Rodent Diseases - epidemiology Rodent Diseases - parasitology rodents Sample size seasonal activity seasonal variation Siphonaptera Siphonaptera - growth & development Siphonaptera - physiology spatial distribution species diversity statistical models Studies Taylor's power law |
Title | Abundance and distribution of fleas on desert rodents: linking Taylor's power law to ecological specialization and epidemiology |
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