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Capybaras in an anthropogenic habitat in Southeastern Brazil

Capivaras em um habitat antrópico no Sudeste do Brasil

Abstracts

Capybaras (Hydrochoerus hydrochaeris) are widely distributed in the Neotropics, living in both natural and anthropogenic habitats. In the present study, we monitored the fluctuating capybara population at the Campus "Luiz de Queiroz", University of São Paulo, in Piracicaba, Southeastern Brazil from 1998 to 2000. To assess population fluctuation and growth rates, we used an abundance index based on direct weekly daylight counts. Population monitoring was carried out in an anthropogenic wetland associated with an agroecosystem. The observers’ bias was established as directly related to their distance from the animals. The capybara population density and biomass in the anthropogenic wetland in question were found to be significantly higher than in pristine habitats. The species seems to present a seasonal pattern of fluctuation, with a peak in late spring (Oct to Dec). Unlike young capybaras, adults and juveniles present similar seasonal fluctuation patterns. In this anthropogenic wetland, the carrying capacity may be as high as 195 individuals/Km². At a conservative exploitation rate (17%) in anthropogenic wetlands of Southeastern Brazil, capybara productivity may reach approximately 630 Kg/Km²/year.

agroecosystem; biomass; carrying capacity; Hydrochoerus hydrochaeris; population fluctuation


Capivaras (Hydrochoerus hydrochaeris) distribuem-se amplamente na região neotropical em habitats naturais e antrópicos. No presente estudo, a flutuação populacional de capivaras foi monitorada no Campus "Luiz de Queiroz" da Universidade de São Paulo, em Piracicaba, Região Sudeste do Brasil no período entre 1998 e 2000. Para avaliar a flutuação populacional e suas taxas de crescimento, foi usado um índice de abundância baseado em contagens diurnas semanais. O monitoramento foi conduzido em uma área de várzea antrópica. O viés de observadores foi avaliado, sendo diretamente proporcional à sua distância em relação aos animais. A densidade populacional e biomassa de capivaras na área antrópica estudada foram significativamente maiores do que em habitats naturais. A espécie apresentou um padrão sazonal de flutuação com pico no final da primavera (outubro a dezembro). Adultos e juvenis apresentaram padrões de flutuação sazonal similares, diferindo do apresentado por filhotes. Neste habitat de vázea antrópica, a capacidade de suporte foi de aproximadamente 195 indivíduos/Km². Para uma taxa de extração conservadora (17%) em várzeas antrópicas da Região Sudeste do Brasil, a produtividade de capivaras pode alcançar cerca de 630 Kg/Km²/ano.

agroecossistemas; biomassa; capacidade de suporte; flutuação populacional; Hydrochoerus hydrochaeris


Capybaras in an anthropogenic habitat in Southeastern Brazil

Capivaras em um habitat antrópico no Sudeste do Brasil

Verdade, L. M.; Ferraz, K. M. P. M. B.

Laboratório de Ecologia Animal, Departamento de Ciências Biológicas, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, C. P. 09, CEP 13418-900, Piracicaba, SP, Brazil

Correspondence to Correspondence to Luciano M. Verdade Laboratório de Ecologia Animal Departamento de Ciências Biológicas Escola Superior de Agricultura "Luiz de Queiroz" Universidade de São Paulo C. P. 09, CEP 13418-900, Piracicaba, SP, Brazil e-mail: lmv@esalq.usp.br

ABSTRACT

Capybaras (Hydrochoerus hydrochaeris) are widely distributed in the Neotropics, living in both natural and anthropogenic habitats. In the present study, we monitored the fluctuating capybara population at the Campus "Luiz de Queiroz", University of São Paulo, in Piracicaba, Southeastern Brazil from 1998 to 2000. To assess population fluctuation and growth rates, we used an abundance index based on direct weekly daylight counts. Population monitoring was carried out in an anthropogenic wetland associated with an agroecosystem. The observers’ bias was established as directly related to their distance from the animals. The capybara population density and biomass in the anthropogenic wetland in question were found to be significantly higher than in pristine habitats. The species seems to present a seasonal pattern of fluctuation, with a peak in late spring (Oct to Dec). Unlike young capybaras, adults and juveniles present similar seasonal fluctuation patterns. In this anthropogenic wetland, the carrying capacity may be as high as 195 individuals/Km2. At a conservative exploitation rate (17%) in anthropogenic wetlands of Southeastern Brazil, capybara productivity may reach approximately 630 Kg/Km2/year.

Keywords: agroecosystem, biomass, carrying capacity, Hydrochoerus hydrochaeris, population fluctuation.

RESUMO

Capivaras (Hydrochoerus hydrochaeris) distribuem-se amplamente na região neotropical em habitats naturais e antrópicos. No presente estudo, a flutuação populacional de capivaras foi monitorada no Campus "Luiz de Queiroz" da Universidade de São Paulo, em Piracicaba, Região Sudeste do Brasil no período entre 1998 e 2000. Para avaliar a flutuação populacional e suas taxas de crescimento, foi usado um índice de abundância baseado em contagens diurnas semanais. O monitoramento foi conduzido em uma área de várzea antrópica. O viés de observadores foi avaliado, sendo diretamente proporcional à sua distância em relação aos animais. A densidade populacional e biomassa de capivaras na área antrópica estudada foram significativamente maiores do que em habitats naturais. A espécie apresentou um padrão sazonal de flutuação com pico no final da primavera (outubro a dezembro). Adultos e juvenis apresentaram padrões de flutuação sazonal similares, diferindo do apresentado por filhotes. Neste habitat de vázea antrópica, a capacidade de suporte foi de aproximadamente 195 indivíduos/Km2. Para uma taxa de extração conservadora (17%) em várzeas antrópicas da Região Sudeste do Brasil, a produtividade de capivaras pode alcançar cerca de 630 Kg/Km2/ano.

Palavras-chave: agroecossistemas, biomassa, capacidade de suporte, flutuação populacional, Hydrochoerus hydrochaeris.

INTRODUCTION

The capybara (Hydrochoerus hydrochaeris) is the world’s largest living rodent and occurs in a variety of habitats such as gallery forests and seasonally flooded savannas (Moreira & Macdonald, 1997). The species is widespread in the Neotropics, ranging from Central America to Buenos Aires Province in Argentina (Ojasti, 1973; Azcárate, 1980; Eisenberg & Redford, 1999).

Capybara is one of the species with the greatest potential for sustainable use in South America due to the following characteristics: high growth rate (45 Kg at the age of two years), high reproductive rate (six young/female/year); and relatively high sociality (Ojasti, 1991; Lord, 1994; Moreira & Macdonald, 1996; 1997; Macdonald, 1999). However, capybara hunting is illegal in most countries where the species occurs, with the exception of Venezuela, Peru, Suriname and some provinces of Argentina (Ojasti, 1991).

In the province of Corrientes, Argentina, controlled hunting of capybaras is allowed when crop damage is officially identified (Ojasti, 1991). In the Venezuelan llanos, a legal hunting program initiated in 1968 reached an estimated exploitation rate of 30% of the total population in areas where the species is abundant (Ojasti, 1973; 1991; González-Jiménez, 1984). However, Herrera & Moreira (1996) consider this hunting pressure too high, since wild populations have shown a dramatic decline in many regions of Venezuela over the last 20 years. Lord & Lord (1988) verified a reduction of 27.63% of the capybara population in the Venezuelan llanos associated with agricultural harvests. Moreira & Macdonald (1996) suggested that the annual exploitation rate should be 17%. According to them, this rate would be closer to the maximum sustainable yield and could generate 841 Kg/Km2/year, although net production and sustainable exploitation rates may vary from one area or population to another due to local conditions and population levels. According to Kleiman et al. (1979), even in low population densities resulting from overexploitation, capybaras may produce more biomass per area than Agouti, Dasyprocta and Proechimys – three common forest-dwelling caviomorph rodents – combined.

In recent years capybaras have reportedly caused damage in experimental agricultural fields at the Campus "Luiz de Queiroz", University of São Paulo, in central-eastern São Paulo state (Ferraz et al., 2003). In order to establish a management program, we have been monitoring the capybara population on campus since July 1998. Based on models that take into account the population fluctuation, we aim to establish a sustainable management program in which the population is kept below damage level and as close as possible to the maximum sustainable yield. The "Luiz de Queiroz" campus presents a mosaic landscape comprising a mixed agroecosystem, which is typical of much of the countryside of the state of São Paulo. For this reason, we believe these results may serve as a basis for the establishment of similar programs in other areas of the state.

STUDY AREA

Campus "Luiz de Queiroz", University of São Paulo, (22° 42’30" S, 47° 38’30" W, 546 m of average altitude) is located in Piracicaba, central-eastern region of the state of São Paulo, Brazil. The campus covers approximately 860 ha and comprises agricultural fields, exotic pastures (mostly Panicum maximum), forest plantations (mostly Pinus sp. and Eucalyptus sp.), wetlands, and fragments of semi-deciduous native forest.

The capybaras can be found in most of the campus, especially near water bodies and agricultural fields. In the present study, we monitored fluctuation of the the capybara population on an anthropogenic wetland (12.9 ha) surrounded by an exotic pasture (Panicum maximum) (21.1 ha) and a depauperate fragment of gallery forest (6.9 ha) in a total area of 40.8 ha.

METHODS

We established an abundance index based on direct counts of animals during the last two hours of sunlight. At that period of the day, the animals usually forage in open areas and are more detectable (Ojasti, 1973; Schaller & Crawshaw, 1981; Herrera, 1986; Jorgenson, 1986; Alho et al., 1989; Cordero & Ojasti, 1989; Mourão & Campos, 1995). This method is widely used for the species in open areas, especially during the dry season.

Ecological density (sensu Eisenberg & Seidensticker, 1976:297) was calculated for the 40.8 ha area where direct or indirect evidence of the species (e.g., feces, tracks, or animals) were present. Ecological density is the density of a species in the macro habitats in which it normally occurs. Ecological density values were compared between age classes by the Kruskal-Wallis test (Sokal & Rohlf, 1995). For this purpose, based on body sizes we considered three ages: adults (above 30 Kg), juveniles (from 10 to 30 Kg), and young (below 10 Kg). Though somewhat arbitrary and subjective, such classification is sufficiently robust not to require much observer training and skills. Animal counts were repeated on a weekly basis from July 1998 to November 2000 by no more than three observers at a time. Observers counted the animals individually while walking around the site’s main water body.

Observer bias was evaluated in relation to their distance from the animals. Three different observers did 20 simultaneous unshared daily counts (July-August 2000) at three different distance ranges from the groups of animals (< 10 m, from 10 to 50, and from 50 to 100 m). The results were compared by T Test (Zar, 1996).

An abundance index does not indicate the total population size, but only the maximum number of individuals seen at a specific site at the same time, which can be defined ideally as the minimum immediate population size at the time of the observation. However, we can often assume that there is a strong correlation between the abundance index and the real population size at that time (Caughley, 1977; Conroy, 1996; Greenwood, 1996; Lancia et al., 1996). The abundance index is related to the observer’s capacity to detect the animals on the site, which is usually influenced by the density and type of vegetation.

We fit population fluctuation to mathematical models, taking into account a period of high growth rate (Brown & Rothery, 1993; Murray, 1993). The data were subjected to a "trend analysis" (Minitab, 2000), which fits a general trend model (linear, quadratic, exponential, or asymptotic) to time-series data and provides forecasts. The models were chosen based on their accuracy estimated by their mean squared deviation (MSD). This is similar to the mean squared error but, since it uses the same denominator (n) regardless of the model, it can be compared across models. Slopes of similar curves were compared by Analysis of Covariance (Zar, 1996:362), where the basic calculations necessary to compare different regression lines require the total sum of squares, the residual sum of squares, and the degrees of freedom for each computed line. The rate of increase (r) and carrying capacity (k) – generated by the models – are presented and discussed as a basis for a sustainable management program (as suggested by Caughley, 1977 and Caughley & Sinclair, 1994).

RESULTS

The average abundance index of the population was 50.55 ± 1.81 (mean ± standard error of mean) individuals. Considering the aforementioned surveyed area, the ecological density was 124 ± 4 individuals/Km2 (1.24 ± 0.04 individuals/ha) in 40.8 ha. Based on an individual average body mass of 30 Kg (Ojasti, 1973; Eisenberg et al., 1979; Schaller, 1983), the estimated biomass was 3720 ± 120 Kg/Km2 (Table 1).

The peak number of individuals occurred at late spring (Oct to Dec) (Fig. 1). 1999 population fluctuation data were fit to mathematical models by Times Series Analysis (Minitab, 2000) because they presented a high growth rate in that period, reaching a plateau that could be assumed to be an estimate of the habitat’s carrying capacity. Adults and juveniles presented asymptotic curves, as did the total population, but young presented a clear quadratic model (Fig. 1), indicating that the reproductive rate may have reached the carrying capacity but that the size distribution was not stable.


The carrying capacity (k) and rate of increase (r) generated by the model for the total population were, respectively, 79.71 (195 individuals/Km2) and 0.89. For adults, k = 50.25 (123 individuals/Km2) and r = 0.94; and for juveniles k = 22.12 (54 individuals/Km2) and r = 0.89. The maximum value of abundance index for young generated by the quadratic model was approximately 17 individuals (41 individuals/Km2).

Differences among observers were not detected when they were positioned close (< 10 m) to the animals. However, at greater distances (10 to 100 m), the observers’ counts differed significantly from each other (T Test, p < 0.001) (Table 2).

DISCUSSION

The present study found that the ecological density and biomass for this anthropogenic habitat associated with an agroecosystem were significantly higher than in Brazilian Pantanal (respectively, from 1 to 69 individuals/Km2 according to Alho et al., 1989; and from 47.1 Kg/Km2 according to Schaller, 1983 to 338 Kg/Km2 according to Schaller & Crawshaw, 1981) and in the natural savannas of Apure, Venezuela (respectively, 60 to 103 individuals/Km2 and 1800 to 3090 Kg/Km2 according to Ojasti, 1973). However, Herrera (1986) found higher ecological densities in Venezuela than we did in our present study (200 individuals/Km2 or 6000 Kg/Km2).

Extensive wetlands such as the Venezuelan Llanos and the Brazilian Pantanal differ considerably from wetlands in southeastern Brazil, which are generally small and relatively isolated from each other. Capybaras have a strong affinity for water, which they use for mating and to avoid predators. In addition, the species forages in open fields rather than in the forest (Escobar & González-Jiménez, 1976; Schaller, 1983). The presence of grasslands with a more abundant food supply can result in a larger number of adults or in larger groups (Herrera, 1986; Herrera & Macdonald, 1989), as in the case of other social mammals (Bergerud, 1971; Krebs, 1985). This emphasizes the importance of the interaction between open areas and water bodies (i.e., their proximity) in terms of habitat quality for the species (as suggested by Ojasti, 1973; Macdonald, 1981; Herrera & Macdonald, 1989) even in small areas.

This species is a generalist herbivore whose feeding habits possibly facilitate its occurrence in anthropogenic habitats such as agroecosystems, which offer a more abundant food supply, similarly to what has been suggested for other species (Lacher et al., 1999). The local extinction of large predators in such conditions may also have resulted in cases of dramatic population increase and crop damage by herbivores (Ferraz et al., 2003).

Capybaras can be less detectable in forest than in open areas, which may affect observer’s efficiency (Lehner, 1996). However, in the present study, discrepancies among observers were related to their distance from the animals, even in open areas. At the intermediate distance, observers’ counts showed significant variations only in terms of the total population but not specifically for any age class. The observers’ counts showed no significant differences when their distance from animals was the smallest, indicating that increasing distances from animals can lead to higher counting errors.

The variation in the abundance index for the total study period suggests that the population’s annual cycle resembles that suggested by Schaller (1983), but year-to-year variations may be considerable. However, there seems to be a peak in late spring (Oct to Dec). This pattern appears to be clear not only for the total population but also specifically for the age classes. In the future, we expect to analyze population cycles over several years, taking into account habitat features and seasonality.

The population fluctuation models for 1999 show a consistent difference among age classes. Contrary to the fluctuation of the total population as well as of adults and juveniles, which presented a clearly similar asymptotic curve, the young presented a quadratic model. The decline in young numbers after the peak may be explained by either their mortality or growth and their consequent reclassification as juveniles by observers in subsequent counts (see Fig. 1). Capybaras usually take six to twelve months to develop from young to juveniles and from there to adults (Lavorenti, 1989).

The model for the total population presented a very similar estimated carrying capacity (195 individuals/Km2) to the density found by Herrera (1986) (200 individuals/Km2), and approximately 1.89 to 3.25 times the density of capybaras in Venezuela (considering Ojasti, 1973), 2.82 to 195 times that of the Brazilian Pantanal (considering Alho et al. 1989), and 1.95 times the estimated optimal average density suggested by Herrera & Moreira (1996) for the Brazilian Amazon and by Hoogesteijn & Chapman (1997) for the Venezuelan llanos.

Although the present study covered a relatively short period, it was possible to fit the population fluctuation curve into a mathematical model by a time series analysis that allows for forecasting. Fitting the 1999 data to an asymptotic model provided a reasonable estimate of the study site’s carrying capacity (k).

The growth rate (0.89) estimated by the model for the total population in 1999 was approximately 30% higher than the intrinsic rate of natural increase of capybaras on Marajó Island estimated by Herrera & Moreira (1996). However, considering the accuracy of such studies, it is unlikely that these values differ significantly. This value could possibly be used as such in sustainable use models (e.g., Robinson & Redford, 1991). However, we did not use this model here because ecological variables such as age at sexual maturity, litters per year and other factors are yet to be determined for the population in question. The surprisingly high values reported here indicate that agroecosystems may support a considerably higher population density than those found in pristine habitats. This fact should be taken into account in both damage control and harvest programs.

In cases of damage caused by the species, farmers and ranchers usually request a control program. However, considering that the capybara is a native species whose meat and leather have an economic potential (Ojasti, 1991), such programs should not aim at its local extinction. Instead, the species should be managed at a sustainable level, as suggested by Begon & Mortimer (1996), Caughley (1977), and Caughley & Sinclair (1994). Such programs should be based on periodic (e.g., annual) population monitoring and on assessments of the maximum sustainable yield (Robinson & Redford, 1991; Magnusson, 1993; Mourão 1999), which are related to the abundance and productivity of the species in the area (Moreira & Macdonald, 1997). In this study, we estimated productivity as the biomass (Kg) harvested per area (Km2) per year, as suggested by Eisenberg et al. (1979).

Considering a theoretical exploitation rate (i.e., hunting quota) of 17% of the population (as suggested by Moreira & Macdonald 1997 for Marajó Island in the Brazilian Amazon), it would be possible to harvest approximately 21 adult individuals/Km2/year in the present study area. Assuming an individual average body mass of 30 Kg (as suggested by Eisenberg et al., 1979; Schaller 1983), it would be possible to harvest approximately 630 Kg/Km2/year on the main wetlands of the "Luiz de Queiroz" campus. The minimum estimated value is similar to the one estimated in Venezuela (244 Kg/Km2/year) by Kleiman et al. (1979) for previous data (Ojasti, 1973) at a slightly higher harvest rate (20%). However, the maximum estimated value is lower than that proposed by Moreira & Macdonald (1996) for the Brazilian Amazon (841 Kg/Km2/year) at the same harvest rate (17%), possibly because in their model they consider harvesting at the maximum sustainable yield, which is ecologically unsafe (Caughley & Sinclair, 1994).

CONCLUSIONS

• The population density and biomass of capybaras in anthropogenic wetlands can be significantly higher than in pristine habitats;

• In southeastern Brazil, capybara populations seem to present a seasonal pattern of fluctuation with a peak in late spring (Oct to Dec);

• The distance between observers and animals may result in counting biases, even in open habitats;

• Adults and juveniles present similar seasonal fluctuation patterns that differ from those of the young;

• The carrying capacity in anthropogenic wetlands of southeastern Brazil may be as high as 195 individuals/Km2; and

• At a conservative exploitation rate (17%) in anthropogenic wetlands of southeastern Brazil, capybaras can produce approximately 630 Kg/Km2/year.

Acknowledgments — This study was partially supported by Fundação de Amparo à Pesquisa do Estado de São Paulo – FAPESP (Process Nº 00/00180-9, Nº 00/00602-0, and Nº 00/00582-0). We are indebted to Prof. Marcos Folegatti and the "Luiz de Queiroz" campus administration/USP for their enthusiasm and support. We also would like to thank the students Allan Veltrone, Ana Paula A. Santos, Cristiane G. Caldana, Felipe Spina, Gustavo R. M. Pinto, Roberto M. F. Santos-Filho, and Társis R. O. Piffer for their participation in the field work.

Received February 26, 2004 – Accepted April 16, 2004 – Distributed 28 February, 2006

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  • Correspondence to

    Luciano M. Verdade
    Laboratório de Ecologia Animal
    Departamento de Ciências Biológicas
    Escola Superior de Agricultura "Luiz de Queiroz"
    Universidade de São Paulo
    C. P. 09, CEP 13418-900, Piracicaba, SP, Brazil
    e-mail:
  • Publication Dates

    • Publication in this collection
      13 Dec 2006
    • Date of issue
      Feb 2006

    History

    • Accepted
      16 Apr 2004
    • Received
      26 Feb 2004
    Instituto Internacional de Ecologia R. Bento Carlos, 750, 13560-660 São Carlos SP - Brasil, Tel. e Fax: (55 16) 3362-5400 - São Carlos - SP - Brazil
    E-mail: bjb@bjb.com.br