Abstract

The Egyptian mongoose (Herpestes ichneumon Linnaeus, 1758) is a medium-sized carnivore that experienced remarkable geographic expansion over the last 3 decades in the Iberian Peninsula. In this study, we investigated the association of species-related and abiotic factors with spleen weight (as a proxy for immunocompetence) in the species. We assessed the relationship of body condition, sex, age, season, and environmental conditions with spleen weight established for 508 hunted specimens. Our results indicate that the effects of sex and season outweigh those of all other variables, including body condition. Spleen weight is higher in males than in females, and heavier spleens are more likely to be found in spring, coinciding with the highest period of investment in reproduction due to mating, gestation, birth, and lactation. Coupled with the absence of an effect of body condition, our findings suggest that spleen weight variation in this species is mostly influenced by life-history traits linked to reproduction, rather than overall energy availability, winter immunoenhancement, or energy partitioning effects, and prompt further research focusing on this topic.

The vertebrate immune system must respond to antigenic challenges that irreversibly affect life-history traits and energy allocation trade-offs (Schulte-Hostedde and Gooderham 2011). Since it directly influences survival, indicators of immunocompetence may help to disentangle the factors underlying species success under different environmental scenarios (Vicente et al. 2007). Immunocompetence can be affected by seasonal variations or by sex or indeed by interactions between these 2 factors. Despite this fact, to date, studies focusing on immune competence that use spleen weight as an indicator lack samples covering all seasons of the year (e.g., Corbin et al. 2008; Schulte-Hostedde and Elsasser 2011) or from both sexes (e.g., Schulte-Hostedde and Elsasser 2011). In order to investigate the factors that influence variance in immunocompetence within a species, samples covering a broad range of environmental conditions, demographic groups, and all periods of the life-cycle are necessary. The Egyptian mongoose Herpestes ichneumon is an appropriate model for such a study because it has colonized mainland Portugal over the past 30 years (Barros and Fonseca 2011), currently inhabiting a diverse array of habitats representing all environmental conditions available to the species. Furthermore, legal hunting generates a large number of specimens year-round of both sexes and all ages from the entire distributional range.

The spleen is the primordial secondary lymphoid organ in mammals, playing a key role in immune defense (Corbin et al. 2008). It is functionally and histologically divided into red pulp and white pulp (Mebius and Kraal 2005). The red pulp ensures blood filtration, removal of effete erythrocytes, regeneration of free ferrous iron, and pathogen clearance (Mebius and Kraal 2005). The white pulp houses lymphoid components under resting conditions, such as T cells, B cells, and antigen-presenting cells (Mebius and Kraal 2005). Maintaining the immune system is energetically costly, and individuals with better body condition are likely to have a greater capacity for the production and storage of lymphocytes (Ponlet et al. 2011; Schulte-Hostedde and Elsasser 2011), which may translate into heavier spleens. Spleen weight is considered a reliable proxy of individual immunocompetence, notwithstanding its other functions (Hosken and O’Shea 2001; Corbin et al. 2008; Hadidi et al. 2008; Navarro-Gonzalez et al. 2011; Manjerovic and Waterman 2012). At the intraspecific level, larger spleens may reflect greater investment in immunity by healthy individuals with better body condition (Møller et al. 1998b), whereas smaller spleens suggest the opposite (Díez-León et al. 2013). However, the use of spleen weight to evaluate within-species immunocompetence has limitations. Sudden increases in spleen weight due to intense physical exertion and stress (Corbin et al. 2008) or ongoing infection might bias estimates relating to immune capacity (Goüy de Bellocq et al. 2007). The relative amount of red blood cells stored in the mammalian spleen is known to vary depending on stress, exercise, or hemorrhagic trauma (Brendolan et al. 2007). Alternatively, enlargement of the spleen may reflect an immune response to parasitism (Nunn 2002; Goüy de Bellocq et al. 2007; Corbin et al. 2008), or inflammation due to pathological changes (Møller et al. 1998a). Finally, in addition to a dependence on body condition, spleen weight may also be influenced by energy partitioning and trade-offs between reproduction and growth (Vicente et al. 2007). Therefore, simultaneous consideration of indicators of overall health and energetic state (e.g., body condition), as well as information on season, sex, age, and environmental conditions can help overcome these limitations, facilitating use of spleen weight as a proxy of immunocompetence.

Body condition also can be altered by environmental conditions or individual traits such as sex or age (Toïgo et al. 2006). Body condition refers to the amount of energy reserves (such as fat and protein) that an animal possesses (Perez-Orella and Schulte-Hostedde 2005; Schulte-Hostedde et al. 2005), and it represents the energetic state of an animal (Schulte-Hostedde et al. 2001). Body condition scores have been developed as bioindicators of overall health or the physical quality of individual specimens (Peig and Green 2009). Several studies have assessed the relationship between body condition of mammals and a range of ecological parameters (Green 2001), including animal density and fecundity (Stewart et al. 2005), the effect of parturition and weight of litter (Dobson and Michener 1995), stress (Young and Monfort 2009), ectoparasitism (Perez-Orella and Schulte-Hostedde 2005), and prey selection (Pierce et al. 2000). Regarding its relationship with immunocompetence, body condition has been proposed to influence spleen weight through overall energy availability (Ponlet et al. 2011; Schulte-Hostedde and Elsasser 2011) and energy partitioning effects (Vicente et al. 2007). Therefore, body condition can be used as an indicator controlling for energetic state and overall health when studying spleen weight as a proxy of immune competence.

In this work, we set out to understand spleen weight variation in a sample of free-ranging Egyptian mongoose. If increased spleen weight is simply a result of the availability of energy to invest in immunity, we expected it to be primarily associated with higher body condition scores. Alternatively, spleen weight variation may result from energy partitioning effects and trade-offs between key biological functions, in which case we expected to find decreased spleen weight during periods of maximum investment in reproduction or growth. However, if spleen weight variation results from more specific or complex interactions, we might find it associated with one or more demographic, environmental, or life-history variables. Finally, if increased spleen weight is the result of an immune response to parasitism, the cost of that response might be reflected in body condition, with higher spleen weight values associated with poorer body condition scores.

Materials and Methods

Study area

Wild Egyptian mongoose specimens were collected from 13 of the 18 districts of continental Portugal. Geographic origin of the specimens was attributed to either north or south of the Tagus River, given the marked differences in bioclimatic, biogeographic, and anthropogenic pressures previously observed between both regions (Bandeira et al. 2016, 2018). The Tagus River was previously considered a geographical barrier for the species, since the distribution of the Egyptian mongoose was more concentrated in the south until 3 decades ago (Borralho et al. 1996; Barros and Fonseca 2011). The vegetation of the southern region is mainly characterized by evergreen Quercus, whereas in the north monoculture plantations of Eucalyptus sp. have largely replaced Pinus pinaster and native deciduous trees (Alves et al. 2009). The northern region generally presents lower temperatures and higher levels of rainfall compared with the southern region (Hijmans et al. 2005). Furthermore, human pressure is lower in the south, having fewer urbanized areas, a lower population density, a less extensive road network, and fewer fragmented habitats (Alves et al. 2009; European Commission 2015; IGP 2015). Also, there are fewer mountainous ridges and a less extensive hydrographic network south of the Tagus River (SNIRH 2015).

Sampling procedures

Sampling took place between January 2008 and December 2014. Capture date was classified as winter (January–March), spring (April–June), summer (July–September), or autumn (October–December). Specimens were obtained from hunting activities (box-trapped under legal game management actions aimed at controlling predator densities), according to legal requirements and under license from competent authorities [Instituto da Conservação da Natureza e das Florestas (ICNF)]. A total of 508 Egyptian mongooses were included in this study, 266 females and 242 males. There were 263 adults, 84 sub-adults, 94 type II juveniles, and 67 type I juveniles (Table 1, see definitions below). Age was determined by dentition according to Bandeira et al. (2016). Each specimen was assigned to 1 of 4 age cohorts: adults over 1 year of age, sub-adults between 9 and 12 months, type II juveniles between 5.5 and 9 months, and type I juveniles between 2.5 and 5.5 months of age. Regarding geographic origin, 130 specimens came from north of the Tagus River and 378 from the south (Figure 1 and Table 1). Carcasses were labeled with collection date and location and stored at −20°C until processed. In the laboratory, samples were thawed, sexed, weighed, measured, and dissected. Spleens were collected and weighed separately. Six biometric measurements (Bandeira et al. 2016) were taken: snout–tail length (terminal hairs not included); right hind leg length; right hind foot length; shoulder height; neck perimeter; and head width. Only specimens for which age determination was possible and that possessed an intact spleen were assessed. Pregnant females were excluded to avoid bias from body weight and body condition variables.

Table 1.

Numbers of Egyptian mongoose samples obtained for each region, North and South of the Tagus River, together with information on age cohort and sex

AgeSexRegion
NorthSouth
AdultFemale41107
Male3580
Sub-adultFemale1233
Male1623
Juvenile IIFemale434
Male947
Juvenile IFemale431
Male923
TotalFemale61205
Male69173
AgeSexRegion
NorthSouth
AdultFemale41107
Male3580
Sub-adultFemale1233
Male1623
Juvenile IIFemale434
Male947
Juvenile IFemale431
Male923
TotalFemale61205
Male69173
Table 1.

Numbers of Egyptian mongoose samples obtained for each region, North and South of the Tagus River, together with information on age cohort and sex

AgeSexRegion
NorthSouth
AdultFemale41107
Male3580
Sub-adultFemale1233
Male1623
Juvenile IIFemale434
Male947
Juvenile IFemale431
Male923
TotalFemale61205
Male69173
AgeSexRegion
NorthSouth
AdultFemale41107
Male3580
Sub-adultFemale1233
Male1623
Juvenile IIFemale434
Male947
Juvenile IFemale431
Male923
TotalFemale61205
Male69173

Locations and sample sizes of Egyptian mongoose studied from districts in Portugal.
Figure 1.

Locations and sample sizes of Egyptian mongoose studied from districts in Portugal.

Environmental variables

Based on ecological requirements and physiological characteristics of Egyptian mongoose, we selected 5 environmental variables that could directly or indirectly influence body condition and spleen weight for modeling (e.g., Ben-Yaacov and Yom-Tov 1983; Delibes et al. 1984; Palomares and Delibes 1990, 1991a; Palomares 1993b; Barros et al. 2015; Bandeira et al. 2016, 2018). Landscape structure can influence physical condition due to differences in the amount of suitable habitat, prey availability, and its impact on the movement and dispersal of mongooses (Palomares and Delibes 1993a; Palomares 1994; Bandeira et al. 2018). Habitat change in recent decades seems to have favored the expansion of mongoose populations into new territories (Barros et al. 2015). Anthropogenic factors are a ubiquitous influence on ecosystems and, together with natural barriers, act as constraints on mongoose expansion, thereby shaping this species’ distribution (Barros et al. 2015). We included anthropogenic factors in our study to assess possible associations with physical condition and immunocompetence, which we expected to be better in areas with low human pressure.

Each variable was represented by mean values in 2 × 2 km grid cells, considering the critical home area of the Egyptian mongoose (Palomares and Delibes 1991b). Nine variables (urban, rice fields, agro-forestry, shrubs, inland water bodies, vineyards and orchards, coniferous forest, broadleaved and mixed forests, and agricultural areas) representing habitat structure were retrieved from a Corine Land Cover (2006) dataset with a spatial resolution of 250 m and converted in a single categorical variable represented by the most abundant habitat type in each grid cell. Hydrographic data were obtained from the Sistema Nacional de Informação de Recursos Hídricos (SNIRH 2015). The degree of anthropogenic pressure was represented by 2 variables: population density [derived from the European Commission (2015)] and extent of the road network (IGP 2015). Geographic position of collected samples was reported in terms of latitude and longitude. Abundances of Egyptian mongoose (number of animals/400 ha) based on the number of animals hunted in each area and during the month, where and when each Egyptian mongoose sampled was collected, were established according to annual hunting yields (ICNF, unpublished data).

Statistical procedures

All variables were tested for normality with Kolmogorov–Smirnov tests (with Lilliefors correction for the significance level) (Zar 1999).

The principal component analysis (PCA) enables a single estimate of body size on the first component, based on the covariance matrix of various measures. Body size was calculated by combining specimen weight and the 6 biometric measurements into a single value through a PCA, using all variables with loadings >0.70. The PCA was performed in STATISTICA version 7.1 (Stat Soft Inc., 2005). Spleen weight was corrected for body weight and is reported as spleen weight (in grams) per 100 g of total specimen mass (adjusted spleen weight). Body condition was scored according to the Scaled Mass Index (Peig and Green 2009, 2010).

All explanatory variables were checked for collinearity using variance inflation factors (VIFs) (Zuur et al. 2009). A cut-off value of 2.5 was used to drop collinear variables. The predictor with the highest VIF value was removed in a stepwise procedure, removing one variable at a time, recalculating the VIF values, until all the remaining predictors had a VIF ≤2.5 (Zuur et al. 2009). Only those that presented VIF ≤2.5 were retained for model construction. Models explaining variation in spleen weight or body condition included the discrete variables region, habitat, sex, age and season and the interactions season×sex, season×age, and sex ×age, as well as the continuous variables Egyptian mongoose abundance, population density, extents of the road and river network, and body size, that were not excluded by VIF analysis. Body condition score was used as an explanatory variable in our model construction for spleen weight, and vice versa. For mixed modeling, we used Gaussian distribution, identity link function, and district (first-level administrative subdivision of mainland Portugal, compartmentalized based on history, common land use, and related issues) as a random factor to control for non-independence of samples from the same area.

Selection of models explaining either spleen weight or body condition variation was performed separately according to the procedure described in Zuur et al. (2009), whereby a ranking was made of all possible models using the Akaike Information Criterion (AICc) (Burnham and Anderson 2002) and only those with ΔAICc values <2 were considered explanatory. The residual patterns were checked.

All statistical analyses were performed in R (version 2.13.2) using the packages lme4 (Bates et al. 2014) and MuMIn for multimodel selection and model averaging approaches (Barton 2012).

Results

The PCA of specimen body size explained 74.6% of the variance in this parameter, with an eigenvalue of 5.220.

Two variables of anthropogenic factors (population density and extent of road network) and the variable body size were excluded from the initial set of predictors for adjusted spleen weight, as well as for body condition model construction, to avoid multicollinearity (Tables A1 and A2). Only one model (season + sex) with ΔAICc < 2 (AICc = −142.27, df = 507) could be considered explanatory (Tables 2 and 3). Overall, males presented higher adjusted spleen weight than females, and spleens were heaviest in spring, followed by winter and autumn, and they were lightest in summer (Table 3, see details in Figures A1 and A2). Despite the fact that the interaction sex × season was not explanatory in our model, an analysis of the means of spleen weight for each sex-season group revealed different seasonal trends between males and females (Figure A3). In males, adjusted spleen weight was highest in winter and decreased in spring, reaching its lowest value in summer, before increasing again in autumn. However, in females, adjusted spleen weight reached its highest values in spring and remained low in the other 3 seasons of the year.

Table 2.

Model selection, using AICc, for the effect of age, season, sex, and their interactions, together with region, Egyptian mongoose abundance, habitat, extent of river network, and body condition (Scaled Mass Index), on adjusted spleen weight (expressed as g/100 g body weight) of the Egyptian mongoose in Portugal

ModelsdfAICcΔAICcAICc weightR2
Season + sex7−142.270.000.670.28
Season + region + sex8−139.892.380.210.20
Egyptian mongoose abundance + sex5−135.786.490.030.26
Season6−135.696.580.030.25
Sex4−135.127.150.020.17
Season + Egyptian mongoose abundance + sex8−135.017.260.020.31
Season + region7−134.168.110.010.17
Region + sex5−133.488.790.010.06
Season + region + Egyptian mongoose abundance + sex9−132.0810.200.000.24
Region + Egyptian mongoose abundance + sex6−131.9910.280.000.20
Season + Egyptian mongoose abundance7−129.1013.170.000.28
Egyptian mongoose abundance4−128.9513.320.000.23
Season + region + Egyptian mongoose abundance8−126.9115.360.000.21
(Null)3−126.7615.510.000.13
Region4−126.3215.950.000.03
Season + sex + season * sex10−126.2716.000.000.28
Region + Egyptian mongoose abundance5−125.7616.510.000.17
Season + sex + scaled mass index8−125.5016.770.000.25
Season + region + sex + season * sex11−124.3217.950.000.21
Season + region + sex + scaled mass index9−124.2118.060.000.13
Season + age + sex10−122.4619.810.000.29
Age + sex7−122.4419.830.000.22
ModelsdfAICcΔAICcAICc weightR2
Season + sex7−142.270.000.670.28
Season + region + sex8−139.892.380.210.20
Egyptian mongoose abundance + sex5−135.786.490.030.26
Season6−135.696.580.030.25
Sex4−135.127.150.020.17
Season + Egyptian mongoose abundance + sex8−135.017.260.020.31
Season + region7−134.168.110.010.17
Region + sex5−133.488.790.010.06
Season + region + Egyptian mongoose abundance + sex9−132.0810.200.000.24
Region + Egyptian mongoose abundance + sex6−131.9910.280.000.20
Season + Egyptian mongoose abundance7−129.1013.170.000.28
Egyptian mongoose abundance4−128.9513.320.000.23
Season + region + Egyptian mongoose abundance8−126.9115.360.000.21
(Null)3−126.7615.510.000.13
Region4−126.3215.950.000.03
Season + sex + season * sex10−126.2716.000.000.28
Region + Egyptian mongoose abundance5−125.7616.510.000.17
Season + sex + scaled mass index8−125.5016.770.000.25
Season + region + sex + season * sex11−124.3217.950.000.21
Season + region + sex + scaled mass index9−124.2118.060.000.13
Season + age + sex10−122.4619.810.000.29
Age + sex7−122.4419.830.000.22

Notes: Models considered as explanatory are in bold. ΔAICc is the difference between the AIC yielded by each model and the lowest AICc (considered the best model); df, degrees of freedom.

Table 2.

Model selection, using AICc, for the effect of age, season, sex, and their interactions, together with region, Egyptian mongoose abundance, habitat, extent of river network, and body condition (Scaled Mass Index), on adjusted spleen weight (expressed as g/100 g body weight) of the Egyptian mongoose in Portugal

ModelsdfAICcΔAICcAICc weightR2
Season + sex7−142.270.000.670.28
Season + region + sex8−139.892.380.210.20
Egyptian mongoose abundance + sex5−135.786.490.030.26
Season6−135.696.580.030.25
Sex4−135.127.150.020.17
Season + Egyptian mongoose abundance + sex8−135.017.260.020.31
Season + region7−134.168.110.010.17
Region + sex5−133.488.790.010.06
Season + region + Egyptian mongoose abundance + sex9−132.0810.200.000.24
Region + Egyptian mongoose abundance + sex6−131.9910.280.000.20
Season + Egyptian mongoose abundance7−129.1013.170.000.28
Egyptian mongoose abundance4−128.9513.320.000.23
Season + region + Egyptian mongoose abundance8−126.9115.360.000.21
(Null)3−126.7615.510.000.13
Region4−126.3215.950.000.03
Season + sex + season * sex10−126.2716.000.000.28
Region + Egyptian mongoose abundance5−125.7616.510.000.17
Season + sex + scaled mass index8−125.5016.770.000.25
Season + region + sex + season * sex11−124.3217.950.000.21
Season + region + sex + scaled mass index9−124.2118.060.000.13
Season + age + sex10−122.4619.810.000.29
Age + sex7−122.4419.830.000.22
ModelsdfAICcΔAICcAICc weightR2
Season + sex7−142.270.000.670.28
Season + region + sex8−139.892.380.210.20
Egyptian mongoose abundance + sex5−135.786.490.030.26
Season6−135.696.580.030.25
Sex4−135.127.150.020.17
Season + Egyptian mongoose abundance + sex8−135.017.260.020.31
Season + region7−134.168.110.010.17
Region + sex5−133.488.790.010.06
Season + region + Egyptian mongoose abundance + sex9−132.0810.200.000.24
Region + Egyptian mongoose abundance + sex6−131.9910.280.000.20
Season + Egyptian mongoose abundance7−129.1013.170.000.28
Egyptian mongoose abundance4−128.9513.320.000.23
Season + region + Egyptian mongoose abundance8−126.9115.360.000.21
(Null)3−126.7615.510.000.13
Region4−126.3215.950.000.03
Season + sex + season * sex10−126.2716.000.000.28
Region + Egyptian mongoose abundance5−125.7616.510.000.17
Season + sex + scaled mass index8−125.5016.770.000.25
Season + region + sex + season * sex11−124.3217.950.000.21
Season + region + sex + scaled mass index9−124.2118.060.000.13
Season + age + sex10−122.4619.810.000.29
Age + sex7−122.4419.830.000.22

Notes: Models considered as explanatory are in bold. ΔAICc is the difference between the AIC yielded by each model and the lowest AICc (considered the best model); df, degrees of freedom.

Table 3.

Effects of the model considered as explanatory for adjusted spleen weight (expressed as g/100 g body weight) of the Egyptian mongoose in Portugal

VariablesEstimateStandard errort-Value
Intercept0.3280.02314.197
SexMale0.0540.0153.712
SeasonSpring0.0810.0204.079
Summer−0.0260.020−1.285
Winter0.0710.0233.142
VariablesEstimateStandard errort-Value
Intercept0.3280.02314.197
SexMale0.0540.0153.712
SeasonSpring0.0810.0204.079
Summer−0.0260.020−1.285
Winter0.0710.0233.142
Table 3.

Effects of the model considered as explanatory for adjusted spleen weight (expressed as g/100 g body weight) of the Egyptian mongoose in Portugal

VariablesEstimateStandard errort-Value
Intercept0.3280.02314.197
SexMale0.0540.0153.712
SeasonSpring0.0810.0204.079
Summer−0.0260.020−1.285
Winter0.0710.0233.142
VariablesEstimateStandard errort-Value
Intercept0.3280.02314.197
SexMale0.0540.0153.712
SeasonSpring0.0810.0204.079
Summer−0.0260.020−1.285
Winter0.0710.0233.142

For body condition analyses, only one model with ΔAICc < 2 (AICc = 7089.62, df = 507) was considered explanatory (Table 4). It included the variables: spleen weight + season + age + sex + season ×age + season×sex + age×sex + habitat + region + Egyptian mongoose abundance (Tables 4 and 5). Males presented higher body condition scores than females (Table 5). Juvenile type I Egyptian mongooses had higher body condition scores compared with adults, sub-adults, and juveniles type II, in descending order, respectively (Table 5). Animals collected in autumn presented the highest body condition scores, followed by those collected in winter, spring, and summer (Table 5). Specimens with heavier spleens presented higher body condition scores (Table 5). Mongooses captured from places with lower abundances of conspecifics had higher body condition, as well as those from the south (Table 5). Specimens collected from vineyards and orchards, rice fields, and urban habitats had the highest body condition scores (Table 5). Some selected factors are graphically presented in Figures A4–A6.

Table 4.

Model selection, using AICc, for the effect of age, season, sex, and their interactions, together with region, Egyptian mongoose abundance, habitat, extent of river network, and adjusted spleen weight (expressed as g/100 g body weight), on body condition (Scaled Mass Index) of the Egyptian mongoose in Portugal

ModelsdfAICcΔAICcAICc weightR2
Spleen weight + season + habitat + age + region + Egyptian mongoose abundance + sex + season×age + season×sex + age×sex347,089.620.000.880.11
Spleen weight+season+habitat+age+region+sex+season×age+season×sex+age×sex337,094.835.210.070.11
Spleen weight+season+habitat+age+region+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex357,096.026.400.040.11
Spleen weight+season+habitat+age+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex337,097.908.280.010.12
Spleen weight+season+habitat+age+region+river network+sex+season×age+season×sex+age×sex347,101.5411.920.000.11
Season+habitat+age+region+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex337,103.0113.390.000.12
Spleen weight+season+habitat+age+sex+season×age+season×sex+age×sex327,103.1513.530.000.12
Spleen weight+season+habitat+age+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex347,104.0014.390.000.11
Season+habitat+age+region+sex+season×age+season×sex+age×sex327,108.7219.100.000.12
Season+habitat+age+region+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex347,109.4719.850.000.11
Spleen weight+season+habitat+age+river network+sex+season×age+season×sex+age×sex337,109.5919.970.000.11
ModelsdfAICcΔAICcAICc weightR2
Spleen weight + season + habitat + age + region + Egyptian mongoose abundance + sex + season×age + season×sex + age×sex347,089.620.000.880.11
Spleen weight+season+habitat+age+region+sex+season×age+season×sex+age×sex337,094.835.210.070.11
Spleen weight+season+habitat+age+region+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex357,096.026.400.040.11
Spleen weight+season+habitat+age+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex337,097.908.280.010.12
Spleen weight+season+habitat+age+region+river network+sex+season×age+season×sex+age×sex347,101.5411.920.000.11
Season+habitat+age+region+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex337,103.0113.390.000.12
Spleen weight+season+habitat+age+sex+season×age+season×sex+age×sex327,103.1513.530.000.12
Spleen weight+season+habitat+age+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex347,104.0014.390.000.11
Season+habitat+age+region+sex+season×age+season×sex+age×sex327,108.7219.100.000.12
Season+habitat+age+region+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex347,109.4719.850.000.11
Spleen weight+season+habitat+age+river network+sex+season×age+season×sex+age×sex337,109.5919.970.000.11

Notes: Models considered as explanatory are in bold. ΔAICc is the difference between the AIC yielded by each model and the lowest AICc (considered the best model); df, degrees of freedom.

Table 4.

Model selection, using AICc, for the effect of age, season, sex, and their interactions, together with region, Egyptian mongoose abundance, habitat, extent of river network, and adjusted spleen weight (expressed as g/100 g body weight), on body condition (Scaled Mass Index) of the Egyptian mongoose in Portugal

ModelsdfAICcΔAICcAICc weightR2
Spleen weight + season + habitat + age + region + Egyptian mongoose abundance + sex + season×age + season×sex + age×sex347,089.620.000.880.11
Spleen weight+season+habitat+age+region+sex+season×age+season×sex+age×sex337,094.835.210.070.11
Spleen weight+season+habitat+age+region+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex357,096.026.400.040.11
Spleen weight+season+habitat+age+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex337,097.908.280.010.12
Spleen weight+season+habitat+age+region+river network+sex+season×age+season×sex+age×sex347,101.5411.920.000.11
Season+habitat+age+region+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex337,103.0113.390.000.12
Spleen weight+season+habitat+age+sex+season×age+season×sex+age×sex327,103.1513.530.000.12
Spleen weight+season+habitat+age+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex347,104.0014.390.000.11
Season+habitat+age+region+sex+season×age+season×sex+age×sex327,108.7219.100.000.12
Season+habitat+age+region+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex347,109.4719.850.000.11
Spleen weight+season+habitat+age+river network+sex+season×age+season×sex+age×sex337,109.5919.970.000.11
ModelsdfAICcΔAICcAICc weightR2
Spleen weight + season + habitat + age + region + Egyptian mongoose abundance + sex + season×age + season×sex + age×sex347,089.620.000.880.11
Spleen weight+season+habitat+age+region+sex+season×age+season×sex+age×sex337,094.835.210.070.11
Spleen weight+season+habitat+age+region+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex357,096.026.400.040.11
Spleen weight+season+habitat+age+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex337,097.908.280.010.12
Spleen weight+season+habitat+age+region+river network+sex+season×age+season×sex+age×sex347,101.5411.920.000.11
Season+habitat+age+region+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex337,103.0113.390.000.12
Spleen weight+season+habitat+age+sex+season×age+season×sex+age×sex327,103.1513.530.000.12
Spleen weight+season+habitat+age+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex347,104.0014.390.000.11
Season+habitat+age+region+sex+season×age+season×sex+age×sex327,108.7219.100.000.12
Season+habitat+age+region+river network+Egyptian mongoose abundance+sex+season×age+season×sex+age×sex347,109.4719.850.000.11
Spleen weight+season+habitat+age+river network+sex+season×age+season×sex+age×sex337,109.5919.970.000.11

Notes: Models considered as explanatory are in bold. ΔAICc is the difference between the AIC yielded by each model and the lowest AICc (considered the best model); df, degrees of freedom.

Table 5.

Effects of the model considered as explanatory for body condition (Scaled Mass Index) of the Egyptian mongoose in Portugal

VariablesEstimateStandard errort-Value
Intercept1,878.4680.4423.351
SexMale59.8076.100.786
AgeJuvenile 13.96128.170.031
Juvenile 2−226.4486.41−2.621
Sub-adult−70.0791.39−0.767
SeasonSpring−113.9774.15−1.537
Summer−187.8976.52−2.455
Winter−111.0481.22−1.367
RegionSouth53.1857.990.917
Spleen weight181.3779.612.278
Egyptian mongoose abundance−10.098.44−1.195
HabitatAgro-forestry41.3561.200.676
Broadleaved and mixed forests−5.8142.05−0.138
Rice fields80.84254.030.318
Shrubs9.4782.460.115
Urban61.44122.440.502
Vineyards and orchards115.56170.090.679
Sex×ageMale×Juvenile I3.28104.630.031
Male×Juvenile II−49.2794.62−0.521
Male×Sub-adult−96.3293.66−1.028
Sex×seasonMale×Spring−93.1291.93−1.013
Male×Summer−109.8690.44−1.215
Male×Winter71.7199.910.718
Season×ageSpring×Juvenile I30.38158.760.191
Spring×Juvenile II304.12133.212.283
Spring×Sub-adult156.35126.011.241
Summer×Juvenile I115.86137.330.844
Summer×Juvenile II261.95107.342.440
Summer×Sub-adult−129.61172.67−0.751
Winter×Juvenile I−320.24276.42−1.159
Winter×Juvenile II236.69198.201.194
Winter×Sub-adult32.04112.640.284
VariablesEstimateStandard errort-Value
Intercept1,878.4680.4423.351
SexMale59.8076.100.786
AgeJuvenile 13.96128.170.031
Juvenile 2−226.4486.41−2.621
Sub-adult−70.0791.39−0.767
SeasonSpring−113.9774.15−1.537
Summer−187.8976.52−2.455
Winter−111.0481.22−1.367
RegionSouth53.1857.990.917
Spleen weight181.3779.612.278
Egyptian mongoose abundance−10.098.44−1.195
HabitatAgro-forestry41.3561.200.676
Broadleaved and mixed forests−5.8142.05−0.138
Rice fields80.84254.030.318
Shrubs9.4782.460.115
Urban61.44122.440.502
Vineyards and orchards115.56170.090.679
Sex×ageMale×Juvenile I3.28104.630.031
Male×Juvenile II−49.2794.62−0.521
Male×Sub-adult−96.3293.66−1.028
Sex×seasonMale×Spring−93.1291.93−1.013
Male×Summer−109.8690.44−1.215
Male×Winter71.7199.910.718
Season×ageSpring×Juvenile I30.38158.760.191
Spring×Juvenile II304.12133.212.283
Spring×Sub-adult156.35126.011.241
Summer×Juvenile I115.86137.330.844
Summer×Juvenile II261.95107.342.440
Summer×Sub-adult−129.61172.67−0.751
Winter×Juvenile I−320.24276.42−1.159
Winter×Juvenile II236.69198.201.194
Winter×Sub-adult32.04112.640.284
Table 5.

Effects of the model considered as explanatory for body condition (Scaled Mass Index) of the Egyptian mongoose in Portugal

VariablesEstimateStandard errort-Value
Intercept1,878.4680.4423.351
SexMale59.8076.100.786
AgeJuvenile 13.96128.170.031
Juvenile 2−226.4486.41−2.621
Sub-adult−70.0791.39−0.767
SeasonSpring−113.9774.15−1.537
Summer−187.8976.52−2.455
Winter−111.0481.22−1.367
RegionSouth53.1857.990.917
Spleen weight181.3779.612.278
Egyptian mongoose abundance−10.098.44−1.195
HabitatAgro-forestry41.3561.200.676
Broadleaved and mixed forests−5.8142.05−0.138
Rice fields80.84254.030.318
Shrubs9.4782.460.115
Urban61.44122.440.502
Vineyards and orchards115.56170.090.679
Sex×ageMale×Juvenile I3.28104.630.031
Male×Juvenile II−49.2794.62−0.521
Male×Sub-adult−96.3293.66−1.028
Sex×seasonMale×Spring−93.1291.93−1.013
Male×Summer−109.8690.44−1.215
Male×Winter71.7199.910.718
Season×ageSpring×Juvenile I30.38158.760.191
Spring×Juvenile II304.12133.212.283
Spring×Sub-adult156.35126.011.241
Summer×Juvenile I115.86137.330.844
Summer×Juvenile II261.95107.342.440
Summer×Sub-adult−129.61172.67−0.751
Winter×Juvenile I−320.24276.42−1.159
Winter×Juvenile II236.69198.201.194
Winter×Sub-adult32.04112.640.284
VariablesEstimateStandard errort-Value
Intercept1,878.4680.4423.351
SexMale59.8076.100.786
AgeJuvenile 13.96128.170.031
Juvenile 2−226.4486.41−2.621
Sub-adult−70.0791.39−0.767
SeasonSpring−113.9774.15−1.537
Summer−187.8976.52−2.455
Winter−111.0481.22−1.367
RegionSouth53.1857.990.917
Spleen weight181.3779.612.278
Egyptian mongoose abundance−10.098.44−1.195
HabitatAgro-forestry41.3561.200.676
Broadleaved and mixed forests−5.8142.05−0.138
Rice fields80.84254.030.318
Shrubs9.4782.460.115
Urban61.44122.440.502
Vineyards and orchards115.56170.090.679
Sex×ageMale×Juvenile I3.28104.630.031
Male×Juvenile II−49.2794.62−0.521
Male×Sub-adult−96.3293.66−1.028
Sex×seasonMale×Spring−93.1291.93−1.013
Male×Summer−109.8690.44−1.215
Male×Winter71.7199.910.718
Season×ageSpring×Juvenile I30.38158.760.191
Spring×Juvenile II304.12133.212.283
Spring×Sub-adult156.35126.011.241
Summer×Juvenile I115.86137.330.844
Summer×Juvenile II261.95107.342.440
Summer×Sub-adult−129.61172.67−0.751
Winter×Juvenile I−320.24276.42−1.159
Winter×Juvenile II236.69198.201.194
Winter×Sub-adult32.04112.640.284

Discussion

Based on a large sample of free-ranging Egyptian mongoose of both sexes and all ages, sampled from throughout Portugal and year-round, our study shows that sex and season explain the variation in adjusted spleen weight. We found no evidence for an effect of body condition score on spleen weight in the explanatory model, contradicting the hypothesis that spleen weight depends primarily on the availability of energy to invest in immune function (Ponlet et al. 2011; Schulte-Hostedde and Elsasser 2011). In fact, our results suggest the opposite causal relationship, with spleen weight appearing as one of the factors in the model explaining the variation in body condition score. The directionality apparent from these results suggests that even though higher body condition scores may not necessarily imply larger spleens and a greater ability to invest energy in immunity, larger spleens may indicate more competent immune systems, allowing animals to attain better body condition scores.

In general, the adjusted spleen weight of male mongooses is significantly higher than that of females, contrasting with results for red deer Cervus elaphus in which spleen weight adjusted for body size does not differ between sexes (Corbin et al. 2008). Our data also show that adjusted spleen weight varies across seasons. In spring, our Egyptian mongoose specimens presented the highest spleen weights, with a slight decrease in values during winter, and an abrupt decrease in summer, followed by a rise again in autumn. To our knowledge, this is the first time that year-round spleen weight measurements have been presented for a wild carnivore species. A study on wild male American mink Neovison vison (Persson et al. 2011) and a report focusing on wild boar Sus scrofa (Fernández-Llario et al. 2004) showed that animal spleens were heaviest during winter, but these studies only compared data from 3 and 2 seasons, respectively. Two hypotheses are offered in previous studies to explain seasonal variation in indicators of immunity in vertebrates (Martin et al. 2008). The first is the winter immunoenhancement hypothesis, whereby animals up-regulate their immune activity as a response to changes in photoperiod, to compensate for the immunosuppressive effects of winter temperatures and resource scarcity (Sinclair and Lochmiller 2000). The second is the trade-off hypothesis according to which the high cost of immune activity is incompatible with other costly physiological activities that occur at certain times of the year, such as reproduction (Vicente et al. 2007). Deeper analysis is necessary to determine which mechanism underlies the influence of sex and season on spleen weight in this Egyptian mongoose population. Since an increase in spleen weight in spring is apparently incompatible with the winter immunoenhancement hypothesis for seasonal variation in immunity (Martin et al. 2008), we speculate that different reproductive strategies, sex-specific behavior, and physiological variations may also be linked to spleen weight variation, especially since the Egyptian mongoose is a polygynic species (Palomares 1993a), exhibiting differential investment in reproduction and sex-skewed survival (Palomares 1993a; Palomares and Delibes 1993b).

According to a study on the reproductive parameters of the Egyptian mongoose in Spain, courtship and mating begin in winter and extend almost to the end of spring (Palomares and Delibes 1992). During the breeding season, males engage in physical aggression to defend their territory, to gain access to females, to mate, and to compete for prey (Palomares 1991, 1993a). Therefore, male investment in immune function may decrease during the reproductive period, since energetic resources should be directed primarily toward reproduction and less toward immune responses (Zuk and Stoehr 2002; Stoehr and Kokko 2006). However, our results do not support this trade-off hypothesis because spleen weight in our sample of males actually tends toward its highest levels in winter. In Spain, pregnant Egyptian mongooses are observed mostly in March and April (Palomares and Delibes 1992). We also observed this pattern in our sample, with 80% of pregnancies detected in the 3 spring months (Bandeira et al., unpublished data). The energetic cost of gestation, birth, and lactation (Gittleman and Thompson 1988; Speakman 2008), coupled with the increased difficulty in obtaining food and decreased foraging time (Bandeira et al. 2018), is expected to result in a trade-off between reproduction and immunity that is more pronounced in spring for Egyptian mongoose females. However, trends in spleen weight data from our female specimens showed a peak in spring, thus again contradicting the reproductive trade-off scenario.

Animals are expected to have larger spleens during active infection due to increased lymphocyte production and/or pathological inflammation (Møller et al. 1998a) or parasitism (Nunn 2002; Goüy de Bellocq et al. 2007; Corbin et al. 2008), so we must consider a third hypothesis, whereby these seasonal differences in spleen weight can be influenced by parasitism. Additionally, pathogen infection and parasite burden may be more pronounced in males of polygynous species (Moore and Wilson 2002; Perez-Orella and Schulte-Hostedde 2005), which has been attributed to sexual selection, competition, and larger home ranges (Zuk 1990). Unfortunately, the lack of measures of diversity and abundance of parasites in our study is a major limitation to investigate this effect. However, costly immune responses to parasitism and high parasite burdens are often negatively correlated with body condition (e.g., Irvine et al. 2006; Davidson et al. 2015; Taylor et al. 2018). Therefore, the fact that in our sample the peak in spleen weight coincides with peaks in body condition for both sexes apparently conflicts with a parasite-driven variation in spleen weight, and highlights the need for further research.

In summary, body condition does not predict spleen weight variation in this Egyptian mongoose population, which instead is primarily explained by sex and season. Moreover, spleen weight peaks in spring and coincides with the period of maximum reproductive investment for the species, thus contradicting the winter immunoenhancement and reproductive trade-off hypotheses. Nevertheless, the coincidence of the peaks in spleen weight trends with the period of maximum investment in reproduction for each sex suggests that spleen weight variation is closely related to the species’ reproductive biology. This relationship warrants further research to establish if it is a consequence of reproductive behavior, a biologically timed investment to prepare for a challenging period in terms of immunity or simply a result of seasonal host–pathogen dynamics.

Author Contributions

V.B., E.V., and C.F. conceived and designed the experiments. V.B. and A.A. performed the experiments. V.B. and E.V. analyzed the data and performed the statistical analyses. J.C. generated maps and provided ecological, habitat, and climatic data. V.B., E.V., A.A., M.V.C., and C.F. wrote the manuscript. All authors contributed to the development of ideas and approved the final version of the manuscript.

Acknowledgments

Thanks are due to collectors, hunters, entities managing hunting areas and their representatives (namely FENCAÇA, ANPC, and CNCP), to Tapada Nacional de Mafra, and to all that contributed to animal sampling, as well as ICNF for the capture permits. We thank Carlos Pimenta (DGPC-Laboratório de Arqueociências, SEC—Direção Geral do Património Cultural) for instructions on a method for cleaning skulls. We would also like to thank Madalena Monteiro, Paulo Carvalho, and Paula Mendonça (veterinarians of Instituto Nacional de Investigação Agrária e Veterinária, I.P., INIAV) for some of the samples harvest. We appreciate the support of the Doctoral Program in Biology and Ecology of Global Changes of University of Aveiro and University of Lisbon. V.B. and J.C. were supported by FCT doctoral grants (SFRH/BD/51540/2011 and SFRH/BD/98387/2013, respectively). We thank 2 anonymous reviewers and the editor for their helpful comments.

Funding

This project was funded by National (through FCT) and European funds (through COMPETE and FEDER, co-funding through the project “Genetic assessment of a successful invasion: Population genetics of the Egyptian mongoose H. ichneumon in Portugal,” reference PTDC/BIA-BEC/104401/2008). We acknowledge University of Aveiro (Department of Biology) and FCT/MEC for the financial support to CESAM Research Unit (UID/AMB/50017) through national funds and, where applicable, co-funding by the FEDER, within the PT2020 Partnership Agreement.

References

Alves
JMS
,
Espírito-Santo
MD
,
Costa
JC
,
Capelo
JH
,
Lousã
MF
,
2009
.
Habitats Naturais e Seminaturais De Portugal Continental—Tipos De Habitats Mais Significativos e Agrupamentos Vegetais Característicos
.
Lisboa
:
Instituto da Conservação da Natureza e da Biodiversidade, Assírio & Alvim
.

Bandeira
V
,
Virgós
E
,
Barros
T
,
Cunha
MV
,
Fonseca
C
,
2016
.
Geographic variation and sexual dimorphism in body size of the Egyptian mongoose Herpestes ichneumon in the western limit of its European distribution
.
Zool Anz
264
:
1
10
.

Bandeira
V
,
Virgós
E
,
Carvalho
J
,
Barros
T
,
Cunha
MV
et al. ,
2018
.
Diet footprint of Egyptian mongoose along ecological gradients: effects of primary productivity and life history traits
.
Mammal Biol
88
:
16
25
.

Barros
T
,
Fonseca
C
,
2011
.
Expansão do sacarrabos Herpestes ichneumon (Linnaeus, 1758) em Portugal
.
Galemys
23
:
9
15
.

Barros
T
,
Carvalho
J
,
Pereira
MJR
,
Ferreira
JP
,
Fonseca
C
,
2015
.
Following the trail: factors underlying the sudden expansion of the Egyptian mongoose Herpestes ichneumon in Portugal
.
PLoS One
10
:
e0133768.

Barton
K
,
2012
. MuMIn: Multi-model inference. R Package Version 1.7.2. [accessed June 24, 2015]. Available from: http://CRAN.R-project.org/package=MuMIn.

Bates
D
,
Maechler
M
,
Bolker
B
,
Walker
S
,
2014
. _lme4: Linear mixed-effects models using Eigen and S4-. R Package Version 1.1–7 [accessed June 24, 2015]. Available from: http://CRAN.R-project.org/package=lme4.

Ben-Yaacov
R
,
Yom-Tov
Y
,
1983
.
On the biology of the Egyptian mongoose Herpestes ichneumon in Israel
.
Z Säugetierkd
48
:
34
45
.

Borralho
R
,
Rego
TF
,
Palomares
F
,
Hora
A
,
1996
.
The distribution of the Egyptian mongoose Herpestes ichneumon (L.) in Portugal
.
Mammal Rev
26
:
1
8
.

Brendolan
A
,
Rosado
MM
,
Carsetti
R
,
Selleri
L
,
Dear
TN
,
2007
.
Development and function of the mammalian spleen
.
BioEssays
29
:
166
177
.

Burnham
KP
,
Anderson
DR
,
2002
.
Model Selection and Multimodel Inference: A Practical Information: Theoretic Approach
. 2nd edn.
New York
:
Springer Science & Business Media
.

Corbin
E
,
Vicente
J
,
Martin-Hernando
MP
,
Acevedo
P
,
Pérez-Rodríguez
L
et al. ,
2008
.
Spleen mass as a measure of immune strength in mammals
.
Mammal Rev
38
:
108
115
.

Corine Land Cover
,
2006
. Corine land cover 2006 for continental portugal; european comission title: GEOSTAT 1B final report. http://mapas.dgterritorio.pt/atom-dgt/pdf-cous/CLC2006/CORINE_and_cover_2006_for_Continental_Portugal.pdf. [accessed June 24, 2015].

Davidson
RK
,
Ličina
T
,
Gorini
L
,
Milner
JM
,
2015
.
Endoparasites in a Norwegian moose Alces alces population: faunal diversity, abundance and body condition
.
Int J Parasitol Parasites Wildl
4
:
29
36
.

Delibes
M
,
Aymerich
M
,
Cuesta
L
,
1984
.
Feeding habits of the Egyptian mongoose or Ichneumon in Spain
.
Acta Theriol
29
:
205
218
.

Díez-León
M
,
Bowman
J
,
Bursian
S
,
Filion
H
,
Galicia
D
et al. ,
2013
.
Environmentally enriched male mink gain more copulations than stereotypic, barren-reared competitors
.
PLoS One
8
:
e80494
.

Dobson
FS
,
Michener
GR
,
1995
.
Maternal traits and reproduction in Richardson’s ground squirrels’
.
Ecology
76
:
851
862
.

Fernández-Llario
P
,
Parra
A
,
Cerrato
R
,
Hermoso de Mendoza
J
,
2004
.
Spleen size variations and reproduction in a Mediterranean population of wild boar Sus scrofa
.
Eur J Wildl Res
50
:
13
17
.

Gittleman
JL
,
Thompson
SD
,
1988
.
Energy allocation in mammalian reproduction
.
Amer Zool
28
:
863
875
.

Goüy de Bellocq
J
,
Ribas
A
,
Casanova
JC
,
Morand
S
,
2007
.
Immunocompetence and helminth community of the white-toothed shrew Crocidura russula from the Montseny Natural Park, Spain
.
Eur J Wildl Res
53
:
315
320
.

Green
AJ
,
2001
.
Mass/length residuals: measures of body condition or generators of spurious results?
.
Ecology
82
:
1473
1483
.

Hadidi
S
,
Glenney
GW
,
Welch
TJ
,
Silverstein
JT
,
Wiens
GD
,
2008
.
Spleen size predicts resistance of rainbow trout to Flavobacterium psychrophilum challenge
.
J Immunol
180
:
4156
4165
.

Hijmans
RJ
,
Cameron
SE
,
Parra
JL
,
Jones
PG
,
Jarvis
A
,
2005
.
Very high resolution interpolated climate surfaces for global land areas
.
Int J Climatol
25
:
1965
1978
.

Hosken
DJ
,
O’Shea
JE
,
2001
.
Sperm production and immune function in two Australian bats Chalinolobus morio and Nyctophilus geoffroyi
.
Ethol Ecol Evol
13
:
173
180
.

IGP
,
2015
. Instituto Geográfico Português [accessed June 24, 2015]. Available from: http://www.igeo.pt/.

Irvine
RJ
,
Corbishley
H
,
Pilkington
JG
,
Albon
SD
,
2006
.
Low-level parasitic worm burdens may reduce body condition in free-ranging red deer Cervus elaphus
.
Parasitology
133
:
465
475
.

Manjerovic
MB
,
Waterman
JM
,
2012
.
Immunological sex differences in socially promiscuous African Ground Squirrels
.
PLoS One
7
:
e38524.

Martin
LB
,
Weil
ZM
,
Nelson
RJ
,
2008
.
Seasonal changes in vertebrate immune activity: mediation by physiological trade-offs
.
Phil Trans R Soc B
363
:
321
339
.

Mebius
RE
,
Kraal
G
,
2005
.
Structure and function of the spleen
.
Nat Rev Immunol
5
:
606
616
.

Møller
AP
,
Christe
PH
,
Erritzoe
J
,
Mavarez
A
,
1998a
.
Condition, disease and immune defence
.
Oikos
83
:
301
306
.

Møller
AP
,
Sorci
G
,
Erritzoe
J
,
1998b
.
Sexual dimorphism in immune defence
.
Am Nat
152
:
605
619
.

Moore
SL
,
Wilson
K
,
2002
.
Parasites as a viability cost of sexual selection in natural populations of mammals
.
Science
297
:
2015
2018
.

Navarro-Gonzalez
N
,
Verheyden
H
,
Hoste
H
,
Cargnelutti
B
,
Lourtet
B
,
2011
.
Diet quality and immunocompetence influence parasite load of roe deer in a fragmented landscape
.
Eur J Wildl Res
57
:
639
645
.

Nunn
CL
,
2002
.
Spleen size, disease risk and sexual selection: a comparative study in primates
.
Evol Ecol Res
4
:
91
107
.

Palomares
F
,
1991
.
Vocalizations emitted by the Egyptian mongoose Herpestes ichneumon living in the wild
.
Mammalia
55
:
148
149
.

Palomares
F
,
1993a
.
Individual variations of male mating tactics in Egyptian mongooses Herpestes ichneumon: can body mass explain the differences?
Mammalia
57
:
317
324
.

Palomares
F
,
1993b
.
Opportunistic feeding of the Egyptian mongoose Herpestes ichneumon (L.) in Southwestern Spain
.
Rev Ecol (Terre Vie)
48
:
295
304
.

Palomares
F
,
1994
.
Site fidelity and effects of body mass on home-range size of Egyptian mongooses
.
Can J Zool
72
:
465
469
.

Palomares
F
,
Delibes
M
,
1990
.
Habitat preference of large grey mongooses Herpestes ichneumon in Spain
.
Acta Theriol
35
:
1
6
.

Palomares
F
,
Delibes
M
,
1991a
.
Dieta del meloncillo Herpestes ichneumon en El Coto del Rey (Norte del Parque Nacional de Doñana, S.O. de España)
.
Acta Vertebrata
18
:
187
194
.

Palomares
F
,
Delibes
M
,
1991b
.
Ecología comparada de la gineta Genetta genetta (L.) y el meloncillo Herpestes ichneumon (L.) (Mammalia, Viverridae) en Doñana (SO de la Península Ibérica)
.
Bol R Soc Esp Hist Nat (Secc Biol)
87
:
257
266
.

Palomares
F
,
Delibes
M
,
1992
.
Some physical and population characteristics of Egyptian mongooses (Herpestes ichneumon L., 1758) in southwestern Spain
.
Z Säugetierkd
57
:
94
99
.

Palomares
F
,
Delibes
M
,
1993a
.
Key habitats for Egyptian mongooses in Doñana National Park, south-western Spain
.
J Appl Ecol
30
:
752
758
.

Palomares
F
,
Delibes
M
,
1993b
.
Social organization in the Egyptian mongoose: group size, spatial behaviour and inter-individual contacts in adults
.
Anim Behav
45
:
917
925
.

Peig
J
,
Green
AJ
,
2009
.
New perspectives for estimating body condition from mass/length data: the scaled mass index as an alternative method
.
Oikos
118
:
1883
1891
.

Peig
J
,
Green
AJ
,
2010
.
The paradigm of body condition: a critical reappraisal of current methods based on mass and length
.
Funct Ecol
24
:
1323
1332
.

Perez-Orella
C
,
Schulte-Hostedde
AI
,
2005
.
Effects of sex and body size on ectoparasite loads in the northern flying squirrel Glaucomys sabrinus
.
Can J Zool
83
:
1381
1385
.

Persson
S
,
Bäcklin
BM
,
Kindahl
H
,
Brunström
B
,
Magnusson
U
,
2011
.
Influence of age, nutritional status and season on the reproductive system in wild male mink Neovison vison
.
Eur J Wildl Res
57
:
1057
1063
.

Pierce
BM
,
Bleich
VC
,
Bowyer
RT
,
2000
.
Selection of mule deer by mountain lions and coyotes: effects of hunting style, body size, and reproductive status
.
J Mammal
81
:
462
472
.

Ponlet
N
,
Chaisiri
K
,
Claude
J
,
Morand
S
,
2011
.
Incorporating parasite systematics in comparative analyses of variation in spleen mass and testes sizes of rodents
.
Parasitology
138
:
1804
1814
.

Schulte-Hostedde
AI
,
Elsasser
SC
,
2011
.
Spleen mass, body condition, and parasite load in male American mink Neovison vison
.
J Mammal
92
:
221
226
.

Schulte-Hostedde
A
,
Gooderham
K
,
2011
.
Macroparasitism influences reproductive success in red squirrels Tamiasciurus hudsonicus
.
Behav Ecol
22
:
1195
1200
.

Schulte-Hostedde
AI
,
Millar
JS
,
Hickling
GJ
,
2001
.
Evaluating body condition in small mammals
.
Can J Zool
79
:
1021
1029
.

Schulte-Hostedde
AI
,
Zinner
B
,
Millar
JS
,
Hickling
GJ
,
2005
.
Restitution of mass–size residuals: validating body condition
.
Ecology
86
:
155
163
.

Sinclair
JA
,
Lochmiller
RL
,
2000
.
The winter immunoenhancement hypothesis: associations among immunity, density, and survival in prairie vole Microtus ochrogaster populations
.
Can J Zool
78
:
254
264
.

SNIRH
,
2015
. Sistema Nacional de Informação de Recursos Hídricos [accessed June 24, 2015]. Available from: http://snirh.apambiente.pt/.

Speakman
JR
,
2008
.
The physiological costs of reproduction in small mammals
.
Phil Trans R Soc B
363
:
375
398
.

Stat Soft Inc.
,
2005
. STATISTICA for Windows (data analysis software system), version 7.1 Available from: www.statsoft.com.

Stewart
KM
,
Bowyer
RT
,
Dick
BL
,
Johnson
BK
,
Kie
JG
,
2005
.
Density-dependent effects on physical condition and reproduction in North American elk: an experimental test
.
Oecologia
143
:
85
93
.

Stoehr
AM
,
Kokko
H
,
2006
.
Sexual dimorphism in immunocompetence: what does life-history theory predict?
.
Behav Ecol
17
:
751
756
.

Taylor
CH
,
Wanelik
KM
,
Friberg
IM
,
Lowe
A
,
Hall
AJ
et al. ,
2018
.
Physiological, but not fitness, effects of two interacting haemoparasitic infections in a wild rodent
.
Int J Parasitol.
Doi:https://doi.org/10.1016/j.ijpara.2017.11.006.

Toïgo
C
,
Gaillard
JM
,
Laere
GV
,
Hewison
M
,
Morellet
N
,
2006
.
How does environmental variation influence body mass, body size, and body condition? Roe deer as a case study
.
Ecography
29
:
301
308
.

Vicente
J
,
Pérez-Rodríguez
L
,
Gortazar
C
,
2007
.
Sex, age, spleen size, and kidney fat of red deer relative to infection intensities of the lungworm Elaphostrongylus cervi
.
Naturwissenschaften
94
:
581
587
.

Young
AJ
,
Monfort
SL
,
2009
.
Stress and the costs of extra-territorial movement in a social carnivore
.
Biol Lett
5
:
439
441
.

Zar
JH
,
1999
.
Biostatistical Analysis
.
New Jersey
:
Prentice Hall
.

Zuk
M
,
1990
.
Reproductive strategies and disease susceptibility: an evolutionary viewpoint
.
Parasitol Today
6
:
231
233
.

Zuk
M
,
Stoehr
AM
,
2002
.
Immune defense and host life history
.
Am Nat
160
:
S9
S22
.

Zuur
AF
,
Ieno
EN
,
Walker
NJ
,
Saveliev
AA
,
Smith
GM
,
2009
.
Mixed Effects Models and Extensions in Ecology with R
.
New York
:
Springer
.

Appendix

Table A1.

VIFs for the full set of explanatory variables for adjusted spleen weight model construction

VariableVIF1VIF2VIF3VIF4
SeasonSpring1.841.841.831.82
Summer1.821.821.821.81
Winter1.631.631.611.60
Sex1.111.111.111.06
AgeJuvenile 13.323.323.321.26
Juvenile 21.781.771.771.31
Sub-adult1.311.311.291.19
Region1.971.801.751.76
Egyptian mongoose abundance1.441.441.431.42
HabitatAgro-forestry1.571.551.531.51
Broadleaved and mixed forests1.871.821.651.65
Rice fields1.041.031.031.03
Shrubs1.151.131.121.13
Urban5.073.121.171.17
Vineyards and orchards1.131.121.111.11
Population density14.66
Road network12.074.57
River network1.921.921.621.63
Body size3.263.243.24
Body condition1.101.091.091.08
VariableVIF1VIF2VIF3VIF4
SeasonSpring1.841.841.831.82
Summer1.821.821.821.81
Winter1.631.631.611.60
Sex1.111.111.111.06
AgeJuvenile 13.323.323.321.26
Juvenile 21.781.771.771.31
Sub-adult1.311.311.291.19
Region1.971.801.751.76
Egyptian mongoose abundance1.441.441.431.42
HabitatAgro-forestry1.571.551.531.51
Broadleaved and mixed forests1.871.821.651.65
Rice fields1.041.031.031.03
Shrubs1.151.131.121.13
Urban5.073.121.171.17
Vineyards and orchards1.131.121.111.11
Population density14.66
Road network12.074.57
River network1.921.921.621.63
Body size3.263.243.24
Body condition1.101.091.091.08

Note: Variables removed are in bold.

Table A1.

VIFs for the full set of explanatory variables for adjusted spleen weight model construction

VariableVIF1VIF2VIF3VIF4
SeasonSpring1.841.841.831.82
Summer1.821.821.821.81
Winter1.631.631.611.60
Sex1.111.111.111.06
AgeJuvenile 13.323.323.321.26
Juvenile 21.781.771.771.31
Sub-adult1.311.311.291.19
Region1.971.801.751.76
Egyptian mongoose abundance1.441.441.431.42
HabitatAgro-forestry1.571.551.531.51
Broadleaved and mixed forests1.871.821.651.65
Rice fields1.041.031.031.03
Shrubs1.151.131.121.13
Urban5.073.121.171.17
Vineyards and orchards1.131.121.111.11
Population density14.66
Road network12.074.57
River network1.921.921.621.63
Body size3.263.243.24
Body condition1.101.091.091.08
VariableVIF1VIF2VIF3VIF4
SeasonSpring1.841.841.831.82
Summer1.821.821.821.81
Winter1.631.631.611.60
Sex1.111.111.111.06
AgeJuvenile 13.323.323.321.26
Juvenile 21.781.771.771.31
Sub-adult1.311.311.291.19
Region1.971.801.751.76
Egyptian mongoose abundance1.441.441.431.42
HabitatAgro-forestry1.571.551.531.51
Broadleaved and mixed forests1.871.821.651.65
Rice fields1.041.031.031.03
Shrubs1.151.131.121.13
Urban5.073.121.171.17
Vineyards and orchards1.131.121.111.11
Population density14.66
Road network12.074.57
River network1.921.921.621.63
Body size3.263.243.24
Body condition1.101.091.091.08

Note: Variables removed are in bold.

Table A2.

VIFs for the full set of explanatory variables for body condition model construction

VariableVIF1VIF2VIF3VIF4
SeasonSpring1.851.841.831.82
Summer1.781.781.781.77
Winter1.651.651.631.62
Sex1.141.131.131.09
AgeJuvenile 13.303.293.291.25
Juvenile 21.781.771.771.30
Sub-adult1.311.311.291.19
Region2.001.831.781.79
Egyptian mongoose abundance1.461.451.441.44
HabitatAgro-forestry1.571.561.541.52
Broadleaved and mixed forests1.871.821.651.65
Rice fields1.041.031.031.03
Shrubs1.171.151.141.15
Urban5.063.121.181.17
Vineyards and orchards1.141.121.111.11
Population density14.57
Road network12.044.57
River network1.901.901.601.61
Body size3.253.233.22
Adjusted spleen weight1.181.181.181.17
VariableVIF1VIF2VIF3VIF4
SeasonSpring1.851.841.831.82
Summer1.781.781.781.77
Winter1.651.651.631.62
Sex1.141.131.131.09
AgeJuvenile 13.303.293.291.25
Juvenile 21.781.771.771.30
Sub-adult1.311.311.291.19
Region2.001.831.781.79
Egyptian mongoose abundance1.461.451.441.44
HabitatAgro-forestry1.571.561.541.52
Broadleaved and mixed forests1.871.821.651.65
Rice fields1.041.031.031.03
Shrubs1.171.151.141.15
Urban5.063.121.181.17
Vineyards and orchards1.141.121.111.11
Population density14.57
Road network12.044.57
River network1.901.901.601.61
Body size3.253.233.22
Adjusted spleen weight1.181.181.181.17

Note: Variables removed are in bold.

Table A2.

VIFs for the full set of explanatory variables for body condition model construction

VariableVIF1VIF2VIF3VIF4
SeasonSpring1.851.841.831.82
Summer1.781.781.781.77
Winter1.651.651.631.62
Sex1.141.131.131.09
AgeJuvenile 13.303.293.291.25
Juvenile 21.781.771.771.30
Sub-adult1.311.311.291.19
Region2.001.831.781.79
Egyptian mongoose abundance1.461.451.441.44
HabitatAgro-forestry1.571.561.541.52
Broadleaved and mixed forests1.871.821.651.65
Rice fields1.041.031.031.03
Shrubs1.171.151.141.15
Urban5.063.121.181.17
Vineyards and orchards1.141.121.111.11
Population density14.57
Road network12.044.57
River network1.901.901.601.61
Body size3.253.233.22
Adjusted spleen weight1.181.181.181.17
VariableVIF1VIF2VIF3VIF4
SeasonSpring1.851.841.831.82
Summer1.781.781.781.77
Winter1.651.651.631.62
Sex1.141.131.131.09
AgeJuvenile 13.303.293.291.25
Juvenile 21.781.771.771.30
Sub-adult1.311.311.291.19
Region2.001.831.781.79
Egyptian mongoose abundance1.461.451.441.44
HabitatAgro-forestry1.571.561.541.52
Broadleaved and mixed forests1.871.821.651.65
Rice fields1.041.031.031.03
Shrubs1.171.151.141.15
Urban5.063.121.181.17
Vineyards and orchards1.141.121.111.11
Population density14.57
Road network12.044.57
River network1.901.901.601.61
Body size3.253.233.22
Adjusted spleen weight1.181.181.181.17

Note: Variables removed are in bold.

Means of Egyptian mongoose adjusted spleen weight (expressed as g/100 g body weight) observed for both sexes. Vertical bars denote 95% confidence intervals.
Figure A1.

Means of Egyptian mongoose adjusted spleen weight (expressed as g/100 g body weight) observed for both sexes. Vertical bars denote 95% confidence intervals.

Means of Egyptian mongoose adjusted spleen weight (expressed as g/100 g body weight) observed for each season. Vertical bars denote 95% confidence intervals.
Figure A2.

Means of Egyptian mongoose adjusted spleen weight (expressed as g/100 g body weight) observed for each season. Vertical bars denote 95% confidence intervals.

Means of Egyptian mongoose adjusted spleen weight (expressed as g/100 g body weight) observed for each sex and season. Vertical bars denote 95% confidence intervals.
Figure A3.

Means of Egyptian mongoose adjusted spleen weight (expressed as g/100 g body weight) observed for each sex and season. Vertical bars denote 95% confidence intervals.

Means of Egyptian mongoose body condition [Scaled Mass Index—predicted body mass (in grams) for an individual standardized to linear body measurement] observed for both sexes. Vertical bars denote 95% confidence intervals.
Figure A4.

Means of Egyptian mongoose body condition [Scaled Mass Index—predicted body mass (in grams) for an individual standardized to linear body measurement] observed for both sexes. Vertical bars denote 95% confidence intervals.

Means of Egyptian mongoose body condition [Scaled Mass Index—predicted body mass (in grams) for an individual standardized to linear body measurement] observed for each age cohort. Vertical bars denote 95% confidence intervals.
Figure A5.

Means of Egyptian mongoose body condition [Scaled Mass Index—predicted body mass (in grams) for an individual standardized to linear body measurement] observed for each age cohort. Vertical bars denote 95% confidence intervals.

Means of Egyptian mongoose body condition [Scaled Mass Index—predicted body mass (in grams) for an individual standardized to linear body measurement] observed for each sex and season. Vertical bars denote 95% confidence intervals.
Figure A6.

Means of Egyptian mongoose body condition [Scaled Mass Index—predicted body mass (in grams) for an individual standardized to linear body measurement] observed for each sex and season. Vertical bars denote 95% confidence intervals.

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