Parasitological monitoring of European bison (Bison bonasus ) from three forests of north-eastern Poland between 2014 and 2016
Online veröffentlicht: 24. März 2020
Seitenbereich: 103 - 110
Eingereicht: 03. Sept. 2019
Akzeptiert: 02. März 2020
DOI: https://doi.org/10.2478/jvetres-2020-0022
Schlüsselwörter
© 2020 M.K. Krzysiak et al. published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Wildlife commonly carry parasitic invasions (4). European bison as the largest free-living land mammals in Europe are no exception, and they are also exposed to them as previously described comprehensively (7, 12). The most common European bison parasites are gastrointestinal nematodes, which were found in almost 100% of animals tested (7). The most serious health problem for European bison are invasions of the pulmonary nematode
European bison parasites are specific to the species. However, it seems more likely that European bison assimilated the parasites of free-ranging and domesticated ruminants (9). The purpose of this study was to test any possible differences in the extensiveness and intensities of parasitic invasions in European bison based on coproscopic examination of European bison faeces collected intravitally. The number of eggs, larvae, and oocytes excreted in three north-eastern Polish forests was analysed statistically to verify the impact of season and origin. The subject of possible threats to public health through adventitious invasions by zoonotic factors was also taken up.
The numbers of faecal samples collected by location and season
Season | Location |
||||
---|---|---|---|---|---|
Borecka Forest | Knyszyńska Forest | Białowieża Forest | BiF neighbouring region | Total | |
Autumn 2014 | 12 | 18 | 78 | 50 | 158 |
Autumn 2015 | 0 | 65 | 0 | 0 | 65 |
Spring 2015 | 14 | 24 | 20 | 36 | 94 |
Winter 2016 | 0 | 0 | 41 | 10 | 51 |
Total | 26 | 107 | 139 | 96 | 368 |
The numbers of different gastro-intestinal nematodes,
Parasite species (adult gastro-intestinal nematodes except where noted) | Variables |
|||||||
---|---|---|---|---|---|---|---|---|
Origin |
Season |
|||||||
Białowieża Forest (BiF) | BiF neighbouring area | Knyszyńska Forest | Borecka Forest | Autumn | Winter | Spring | ||
37.9 | 98.2 | 25.1 | 14.1 | 14.2 | 43 | 131.9 | ||
(range) | (1–1150) | (1–1196) | (1–305) | (1–45) | (1–98) | (1–448) | (1–1196) | |
%(2) | 95.7 | 93.7 | 94.4 | 92.3 | 92 | 100 | 98 | |
(SD(3)) | (20.4) | (24.3) | (23.1) | (27.2) | (27.3) | (0) | (14.5) | |
5.3 | 4.2 | 1.3 | 6.2 | 3.8 | 2 | 3.1 | ||
(range) | (1–82) | (1–58) | (1–8) | (1–28) | (1–82) | (1–20) | (1–79) | |
%(5) | 54.7 | 59.4 | 7.4 | 34.6 | 43.5 | 43.1 | 32.9 | |
(SD(6)) | (50) | (49.4) | (26.4) | (48.5) | –49.7 | (50) | (47.2) | |
0.06 | 1.1 | 0.02 | 0.1 | 1 | 0.4 | |||
(range) | (1–4) | (1–24) | (1–1) | 0 | (1–13) | (1–24) | (1–10) | |
%(8) | 3.6 | 19.8 | 1.9 | 4.5 | 9.8 | 11.7 | ||
(SD(9)) | (18.7) | (40) | (13.6) | 0 | (20.7) | (30) | (32.3) | |
0.1 | 0.05 | |||||||
(range) | 0 | 0 | (1–5) | 0 | (1–5) | 0 | 0 | |
%(11) | 2.8 | 1.3 | ||||||
(SD(12)) | 0 | 0 | (16.6) | 0 | (11.5) | 0 | 0 | |
2.1 | 19.8 | 0.6 | 1.7 | 10.3 | 14.3 | |||
(range) | (1–152) | (1–305) | (1–61) | 0 | (1–136) | (1–249) | (1–305) | |
%(14) | 5.8 | 17.7 | 1.9 | 3.6 | 11.8 | 13.8 | ||
(SD(15)) | (23.3) | (38.4) | (13.6) | 0 | (18.6) | (32.5) | (34.7) | |
1.7 | 14.3 | 4.5 | 2.1 | 6.5 | 14 | |||
(range) | (1–142) | (1–304) | (1–267) | 0 | (1–267) | (1–142) | (0–304) | |
%(17) | 8.6 | 15.6 | 3.7 | 4 | 17.6 | 13.8 | ||
(SD(18)) | (28.2) | (36.5) | (19.1) | 0 | (19.7) | (38.5) | (34.7) | |
45.4 | 99.2 | 10.8 | 160.6 | 65.9 | 27.5 | 53.8 | ||
(range) | (1–748) | (1–5072) | (1–557) | (1–1914) | (1–5072) | (1–391) | (1–1917) | |
%(20) | 74.8 | 77.1 | 25.2 | 96.1 | 56 | 82.3 | 65.9 | |
(SD(21)) | (43.5) | (42.2) | (43.6) | (19.6) | (49.7) | (38.5) | (47.6) | |
8.7 | 8.7 | 2.4 | 5.3 | 3.5 | 18.3 | 7.5 | ||
(range) | (1–403) | (1–63) | (1–22) | (1–62) | (1–63) | (1–403) | (1–38) | |
%(23) | 69.1 | 78.1 | 53.3 | 30.8 | 62.3 | 58.8 | 71.3 | |
(SD(24)) | (46.4) | (41.6) | (50.1) | (47.1) | (48.5) | (49.7) | (45.5) | |
5 | 49.8 | 28.4 | 6 | 20.7 | 40.6 | |||
(range) | (1–173) | (1–856) | 0 | (1–276) | (1–276) | (1–176) | (1–856) | |
%(26) | 26.6 | 55.2 | 46.1 | 14.4 | 33.3 | 56.4 | ||
(SD(27)) | (44.3) | (50) | 0 | (50.8) | (35.1) | (47.6) | (49.8) |
The numbers of parasite eggs and larvae shed in European bison faeces differed significantly between the different populations (Fig. 1A) and seasons (Fig. 1B), except for those of
Fig. 1
Box plot of numbers of gastro-intestinal nematode eggs (black),

The associations between all the variables were assessed, with the count variable accepted as parasite intensity (egg/larva/oocyst number) and a binomial variable standing for prevalence of parasite invasion (Table 3). In the univariable analysis, the intensity of the invasion by individual parasites differed significantly between locations, except for
Cross-correlations between the explanatory variables and outcomes – prevalence and intensity of invasion
Origin | Season | Trichostrongylidae | Aonchotheca sp. | Nematodirus spp. | Strongyloides spp. | Trichuris sp. | Moniezia spp. | Eimeria spp. | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Origin | 1 | - | 27.1(28) | 68.5(29) | 33.2(30) | 7.3 | 22.9(31) | 12.0(32) | 92.3(33) | 37.2(34) | 86.4(35) | |
Season | 72.1(36) | 1 | 102.1(37) | 4.5 | 6.0 | 1.9 | 12.0(38) | 15.0(39) | 3.2 | 13.4(40) | 56.4(41) | |
0.73 | 7.9(42) | 1 | 0.15(43) | 0.22(44) | −0.09 | 0.29(45) | 0.27(46) | 0.13(47) | 0.25(48) | 0.38(49) | Intensity of invasion (number of eggs/oocysts/larvae) | |
74.4(50) | 3.2 | 5.8(51) | 1 | 0.11 | −0.07 | 0.10 | 0.07 | 0.38(52) | 0.16(53) | 0.15(54) | ||
32.6(55) | 5.9(56) | 1.6 | 7.0(57) | 1 | −0.02 | 0.46(58) | 0.35(59) | 0.16(60) | 0.22(61) | 0.26(62) | ||
7.3 | 2.0 | 0.2 | 2.1 | 0.2 | 1 | −0.03 | −0.03 | −0.06 | −0.08 | −0.06 | ||
22.5(63) | 11.9(64) | 1.6 | 4.1(65) | 74.9(66) | 0.2 | 1 | 0.47(67) | 0.15(68) | 0.22(69) | 0.29(70) | ||
11.9(71) | 14.7(72) | 1.9 | 0.8 | 41.6(73) | 0.3 | 71.2(74) | 1 | 0.09 | 0.15(75) | 0.20(76) | ||
7.4 | 12.5(77) | 0.06 | 35.6(78) | 5.8(79) | 1.1 | 4.5(80) | 4.7(81) | 1 | 0.01 | 0.04 | ||
27.7(82) | 3.0 | 2.3 | 3.7(83) | 5.1(84) | 1.2 | 5.6(85) | 2.6 | 1.0 | 1 | 0.33(86) | ||
81.7(87) | 59.2(88) | 0.6 | 11.7(89) | 16.0(90) | 1.2 | 22.1(91) | 9.6(92) | 2.3 | 18.2(93) | 1 | ||
Prevalence (presence/absence of parasite) |
in lower left corner in white – χ2 for the prevalence study; in upper right corner – Kruskal–Wallis χ2 values in darker grey and Spearman ρ values in lighter grey below for the intensity of invasion (number of eggs/oocysts/larvae)
In the final mixed-effect GLM, the fact that intense invasions of
Mixed-effect generalised linear model (GLM) coefficients for the effects of season and origin on the intensity of individual parasite invasion in European bison
Origin (forest) |
Season |
||||||||
---|---|---|---|---|---|---|---|---|---|
BiF | BiF |
KnF | BoF | Autumn | Winter | Spring | Intercept | ||
Coefficient β |
0.50 |
−0.48 |
−1.7 |
0.95 |
2.16 |
2.69 |
|||
Coefficient β |
−0.34 |
−3.10 |
−0.75 |
−1.18 |
−0.23 |
1.94 |
|||
Coefficient β |
3.33 |
−0.25 |
−12.55 |
2.05 |
0.53 |
−3.87 |
|||
Coefficient β |
2.18 |
−0.82 |
−16.49 |
1.76 |
1.71 |
−0.36 |
|||
Coefficient β |
1.95 |
1.21 |
−16.1 |
1.51 |
1.74 |
−0.43 |
|||
Coefficient β |
0.76 0.02 |
−1.62 |
1.25 |
−0.99 |
−0.59 |
4.10 |
|||
Coefficient β |
0.20 |
−0.77 |
−0.16 |
1.42 |
0.65 |
1.44 |
|||
Coefficient β |
2.21 |
−19.31 |
1.54 |
1.26 |
1.40 |
0.82 |
Mixed-effects generalised linear model (GLM) coefficients for the effects of season and origin on the probability of European bison of being infected with individual parasites
Origin (forest) |
Season |
||||||||
---|---|---|---|---|---|---|---|---|---|
BiF | BiF |
KnF | BoF | Autumn | Winter | Spring | Intercept | ||
Coefficient β |
0.22 |
−2.96 |
−0.79 |
−0.90 |
−0.84 |
0.58 |
|||
Coefficient β |
1.20 |
−0.95 |
0 |
1.13 |
1.30 |
−3.47 |
|||
Coefficient β |
1.05 |
0 |
0.21 |
0.75 |
2.29 |
−1.67 |
Parasitic invasions are the most common pathological factors and the easiest to diagnose, also in the field, of those which can affect the health of free-living animals (18). The study involved free-living European bison from the same region of Poland but managed differently. The animals from the Białowieża Forest and the Borecka Forest stay all year round in a compact forest complex and rarely leave it. In winter, they are fed regularly. Moreover, the European bison from the Borecka Forest are more plentifully fed as, in addition to hay and haylage, they also receive concentrated feed. European bison living in the Białowieża Forest are fed only with roughage, ensuring the minimum nutrition to sustain life (2). In the winter season, European bison from the neighbouring of Białowieża Forest and those from the Knyszyńska Forest live in a mosaic area. During the vegetation season and while resting, they stay in more or less dense forest complexes, while in winter they often feed in designated places in the forest where haystacks are prepared, or in open areas of farmland, where they often cause losses to agriculture (21). The results of the presented research show that parasitological monitoring may serve as one of the indicators of the hygiene of winter feeding places. Conducting research on free-living animals may be affected by a certain error because each collection of samples in the field does not ensure that they are collected from different individuals. In the described study, this risk was minimised by involving staff experienced in working with European bison in sample collection. The variability of invasion intensity was observed previously by other researchers and was related to the mode of feeding, sex, and season of the year (1). The highest invasion intensity expressed in the number of eggs, larvae, and oocysts excreted was observed in spring in the Białowieża Forest due to the concentration of animals in feeding places. An additional factor influencing the rise in the number of invasive forms excreted is the phenomenon of spring dispersion of parasites (3). This was observed especially in the testing of winter E. bison samples from the Białowieża Forest and the surrounding area. The statistically significant differences in the intensity of invasion to the disadvantage of the European bison from the area contiguous to the Białowieża Forest are presented both in Fig. 1 and in Table 4. The end of the growing season is the period when the animals are in the best condition, which is conducive to lower extensiveness and intensity of invasion. Because the most intense parasite invasions were observed in the European bison living in the Białowieża Forest neighbouring area, this possibly suggests higher exposure to parasites driven by such circumstances as increased animal density, direct contact through feeding together at hay barracks and haystacks, and continuous contamination of hay with faeces. The feeding-related danger is amplified by the long time during which the animals stay in the feeding place, which increases possible exposure risk. In addition, the European bison which leave the Białowieża Forest have increased contact with other ruminants, especially domestic ones. In animals fed successively, the intensity of infection was lower because hay and haylage are delivered several times a week (10). In the case of the Borecka Forest, feed is given daily. Also in animals fed on farmland (the western European bison herd from the Białowieża Forest and Knyszyńska Forest), no statistically significant higher levels of parasitic invasion were observed. This is probably due to roving of the European bison which feed in different places every day because they are chased away by the farmers. One of the examples of a procedure aimed at limiting the spread of parasites among European bison during winter feeding in the Białowieża National Park is provision of fresh hay or haylage several times a week and cleaning of uneaten remains of feed and accumulated excrement at the beginning of spring in every feeding place. This also ensures that the nutritional value of the feed is preserved and the sanitary and hygienic standards are not failed at the feeding places.
From the European bison health and husbandry point of view, the most important element is prevention,
In conclusion, parasitological monitoring is one of the methods of sanitary and hygienic assessment of winter feeding places, as it shows the distribution and prevalence of parasitic invasions. The presented analysis indicates risk factors which may be key topics to address for better practice in European bison management. Such monitoring should be systematically conducted on a representative number of samples and should then give the managers of European bison herds the opportunity to maintain health surveillance of free-living members of the species.
– mean of egg numbers per 3 g of faeces;
– standard deviation;
– % mean prevalence;
– mean of egg numbers per 3 g of faeces;
– standard deviation;
– % mean prevalence;
– mean of egg numbers per 3 g of faeces;
– standard deviation;
– % mean prevalence;
– mean of egg numbers per 3 g of faeces;
– standard deviation;
– % mean prevalence;
– mean of egg numbers per 3 g of faeces;
– standard deviation;
– % mean prevalence;
– mean of egg numbers per 3 g of faeces;
– standard deviation;
– % mean prevalence;
– mean of oocyst numbers per 5 g of faeces
– mean of oocyst numbers per 5 g of faeces
– % mean prevalence;
– mean of egg numbers per 3 g of faeces;
– standard deviation;
– % mean prevalence;
– mean of egg numbers per 3 g of faeces;
– standard deviation;
– % mean prevalence;
– P <0.001;
– P <0.001;
– P <0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P <0.001;
– P <0.001;
– P <0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P <0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P <0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P <0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P value between 0.05 and 0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P value between 0.05 and 0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P <0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P <0.001;
– P <0.001;
– P value between 0.05 and 0.001;
– P <0.001;