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Article

Are Hungarian Grey Cattle or Hungarian Racka Sheep the Best Choice for the Conservation of Wood-Pasture Habitats in the Pannonian Region?

1
Institute of Agronomy, Hungarian University of Agriculture and Life Sciences, Páter Károly Str. 1, 2100 Gödöllő, Hungary
2
Institute for Wildlife Management and Nature Conservation, Hungarian University of Agriculture and Life Sciences, Páter Károly Str. 1, 2100 Gödöllő, Hungary
3
The Hungarian Chamber of Agriculture, Fehérvári Str. 89-95, 1119 Budapest, Hungary
4
Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly Str. 1, 2100 Gödöllő, Hungary
5
Institute of Animal Husbandry, Hungarian University of Agriculture and Life Sciences, Páter Károly Str. 1, 2100 Gödöllő, Hungary
6
Department of Postharvest, Commercial and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Villányi Str. 29-43, 1118 Budapest, Hungary
7
HUN-REN Institute of Economics, Centre for Economic and Regional Studies (HUN-REN KRTK), Tóth Kálmán Str. 4, 1097 Budapest, Hungary
8
Animal Breeding, Nutrition and Laboratory Animal Science Department, University of Veterinary Medicine Budapest, István Str. 2, 1078 Budapest, Hungary
*
Author to whom correspondence should be addressed.
Agronomy 2024, 14(4), 846; https://doi.org/10.3390/agronomy14040846
Submission received: 1 March 2024 / Revised: 12 April 2024 / Accepted: 16 April 2024 / Published: 18 April 2024

Abstract

:
Wood pastures have been characteristic farming types in the Pannonian biogeographical region over the centuries. In the present work, we studied wood-pastures of typical geographical locations in the North Hungarian Mountain Range of Hungary characterized by similar environmental conditions but grazed by different livestock. The sample area of Cserépfalu was grazed by Hungarian Grey Cattle, while the Erdőbénye was grazed by Hungarian Racka Sheep. Coenological records of the sites were collected from 2012 to 2021 in the main vegetation period according to the Braun-Blanquet method with the application of 2 × 2 m sampling quadrats, where the coverage estimated by percentage for each present species was also recorded. To evaluate the state of vegetation, ’ecological ordering’ distribution, diversity, and grassland management values were used. Between the two areas, the grazing pressure of the two studied livestock produced different results. Based on the diversity values, woody–shrubby–grassland mosaic diversity values were high (Shannon diversity: 2.21–2.87). Cattle grazing resulted in a variable and mosaic-like shrubby area with high cover values. Based on our results, grazing by cattle provides an adequate solution for forming and conserving wood-pasture habitats in the studied areas of Hungary. However, if the purpose is to also form valuable grassland with high grassland management values, partly sheep grazing should be suggested.

1. Introduction

Wood pastures are among the oldest land-use types in Europe where livestock grazing occurs in mosaic habitats characterized by open grasslands with scattered trees and shrubs [1,2]. Over the centuries, wood pastures have been important traditional components of the Pannonian landscape as one of the dominant farming types of the region [3,4,5,6,7]. During extensive management, livestock farmers have maintained optimal semi-natural habitats for farm animals in harmony with nature [8,9,10,11], making wood pastures regional hotspots of biodiversity. Therefore, wood pastures are archetypes of High Nature Value Farmlands in Europe, with high ecological, social, and cultural importance [3]. Recognizing their importance, wood pastures have received increasing scientific attention in the last few decades [2,12,13,14,15,16,17,18]. However, they are in rapid decline in the Carpathian basin and throughout Europe due to land-use changes, tree cutting, under- or overgrazing, and lack of regeneration [9,12]. In this regard, further research is urgently needed on both local and regional scales [9].
Öllerel et al. [19] conducted a complex review of the effects of domestic livestock grazing on temperate forest vegetation. They concluded that successful wood-pasture conservation largely depends on the choice of grazing livestock species and that a lack of grazing can negatively affect biodiversity and forest management.
Although grazing by large ungulates reduces vegetation biomass, it can increase diverse habitats and the regeneration of selected canopy tree species [20,21]. Research shows that grazing by sheep [22,23,24] and goats [25] for vegetation management is also common. However, other researchers have reported that grazing by cattle and goats [26], and by cattle and horses together were better alternatives [27]. Based on a study by Fűrész [28], domestic water buffalo may be suitable for habitat management in controlling tree and shrub encroachment.
Wild herbivore species should be considered when treating wood pastures as semi-natural habitats [29,30]. Large herbivore animals have had a significant role in the formation of forests, shrublands, and grasslands [13,31,32]. Thus, by supplementing wildlife activity, grazing animals can also contribute to the conservation of present forest–grassland mosaics [13,29,33,34,35]. In addition, livestock grazing influences wild herbivore populations in different ways due to their physiology, diet, behaviour, and stocking rate [29,30]. Various native and introduced livestock, such as cattle, sheep, and ponies, can substitute for wildlife activity [36,37]. However, uncontrolled grazing by large ungulates can lead to overgrazing, which spreads less preferred [38] and/or low forage value species [39]. Nevertheless, moderate grazing is needed to avoid considerable spreading of shrub species [29,31,40,41] since restraint from a loss of species diversity after abandonment is one of the main aims of wood-pasture conservation [42,43]. Herbivore grazing has changed the primary production [44], spatial heterogeneity [45,46], structure [47], composition [48], and diversity [42,49,50,51] of grasslands. Furthermore, the type of pastoral grazing affects the community structure of vegetation and the yield of grasslands [52,53]. Forage value and natural conservation of wood-pastures should be investigated in the future.
Regarding the complexity of the studied plant–animal–environment system, we aimed to collect data about the appearance and traceability of different factors on the species richness and diversity of vegetation. Based on preliminary examinations of species richness in wood pastures conducted in different regions of Hungary [54,55,56], two sample areas characterized by similar environmental conditions (exposure, parent rock, topography, climate) but grazed by different livestock (Hungarian Grey Cattle and Hungarian Racka Sheep) were selected in the North Hungarian Mountain Range.
Based on the parameters of the sampling sites, we sought answers to the following questions in our research:
(1)
Is there any difference in vegetation structure between (a) woody shrub and grassland mosaic habitats and (b) simple grassland habitats? Which trends in species numbers and diversity prevail between these two different habitats?
(2)
Is grazing by Hungarian Grey Cattle or Hungarian Racka Sheep more effective at habitat conservation under similar environmental conditions? How does their grazing affect grassland management values differently?
Our preliminary hypothesis:
(1)
Grazing pressure results in significant differences between vegetation groups important for grassland management. There are differences between sheep grazing and grey cattle grazing, in which grey cattle grazing provides better plant components for grassland management and nature conservation.

2. Materials and Methods

2.1. Data Collection and Surveyed Areas

The Cserépfalu (C) sample area is located at the Bükk hillfoot of the Eger micro-region of the North Hungarian Mountain Range (Figure 1) [57]. Approximately 60–70 Hungarian Grey Cattle graze annually on the wood pasture from April to November; however, the exact duration of grazing periods depends on annual weather conditions. The Erdőbénye (E) sample area is situated in the Hegyalja micro-region of the North Hungarian Mountain Range [57] and is grazed by Hungarian Racka Sheep.
Based on the first military survey of Hungary (1783–1874), both sample areas were covered by forest in the XVI century [58]. However, it is possible that they were already grazed at that time and formed an open woodland habitat, as described in the works of Holl and Smith [18] and Geiger et al. [59]. Based on the second (1858) [60] and third (1883–1884) military surveys [61,62], topographical maps from the Second World War (1940s) [62], and the history of grazing on wood pastures and grasslands [63,64,65,66], the studied areas have been grazed continuously for 150 years.
Habitats of shrubby–woody patches (W) and grassland areas (G) were studied separately. We conducted six coenological surveys of the woody sample areas (CWA, CWB, CWC, EWA, EWB) and ten in the grassland sample areas (CGA, CGB, CGC, EGA, EGB) each year from 2012 to 2021 in the vegetation period (May, June, and September) based on the Braun-Blanquet method [67] in 2 × 2 m quadrats. The coverage was estimated by percentage for each present species. Plant layers were also considered, resulting in values over 100%. The name of the species was recorded based on the nomenclature of Király [68].
The sample areas mentioned above were identified and coded based on differences in location and grazing livestock (first digit of the code), habitat type (second digit of the code), and intensity of land use (third digit of the code).
The grassland areas were grazed intensively or less intensively. The stocking rate was the same but the length of the grazing period was different. Animals spent almost twice as much time in the intensive grazing zones with high grazing pressure (A) than in zones with low grazing pressure (B). We also identified abandoned zones (C).
The vegetation type of grasslands (G) was Agrostio-Festucetum rubrae. The vegetation type of the pasture with low grazing pressure (B) was Potentillo-Festucetum pseudovinae and the pasture with high grazing pressure (A) was Nardetum strictae.
The following sample areas were investigated:
Hungarian Grey Cattle pasture (C: Cserépfalu):
  • CWA: Agrostio-Festucetum rubrae grassland and shrubby and woody patches, mosaics, stocking rate was 2.5 cattle/ha;
  • CWB: Agrostio-Festucetum rubrae and shrubby and woody patches, mosaics with low grazing pressure, stocking rate was 0.5 cattle/ha;
  • CWC: abandoned pasture, Agrostio-Festucetum rubrae and shrubby–woody patches, mosaics, grassland, stocking rate was 1 cattle/ha;
  • CGA: intensively grazed Agrostio-Festucetum rubrae grassland, stocking rate was 2.5 cattle/ha;
  • CGB: Agrostio-Festucetum rubrae (Potentillo-Festucetum pseudovinae) grassland with low grazing pressure, stocking rate was 0.5 cattle/ha;
  • CGC: abandoned pasture, Agrostio- Festucetum rubrae (Potentillo- Festucetum pseudovinae), stocking rate was 1 cattle/ha.
Hungarian Racka Sheep pasture (E: Erdőbénye):
  • EWA: Agrostio-Festucetum rubrae and Nardetum strictae grasslands, shrubby and woody patches, mosaics, stocking rate was 10 sheep/ha;
  • EWB: Agrostio-Festucetum rubrae and Nardetum strictae grasslands, shrubby and woody patches, mosaics with low grazing pressure, stocking rate was 2 sheep/ha;
  • EGA: intensively grazed Agrostio-Festucetum rubrae and Nardetum strictae grassland, stocking rate was 10 sheep/ha;
  • EGB: grazed Agrostio-Festucetum rubrae and Nardetum strictae grasslands with low grazing pressure, stocking rate was 2 sheep/ha.

2.2. Analysis of Biomass

The vegetation of the sample areas was also examined for grassland management purposes. Biomass measurements were conducted in June and September only in the grassland (G) areas. Parallel with the coenological recordings, a 1 × 1 m grassland plot was mowed by grass shears leaving a 4-centimetre high stubble for model grazing. Sampled biomass was sorted based on important grassland management groups. The following values and notations of grassland management categories were applied [69]:
  • Poaceae species important for grassland management;
  • Fabaceae species for grassland management;
  • Other Poaceaae, Carex and monocotyledons;
  • Neutral dicotyledonous species;
  • Woody species;
  • Thorny species;
  • Litter.
The coverage values of each grass species were calculated from the total coverage percentage per mass ratio.
The forage values of various plots were calculated by the following formula [70,71]:
F V = ( a × A + b × B + c × C / 100 × x
  • FV: Forage value of the vegetation plots;
  • a, b, c…: categories of forage values of species;
  • A, B, C…: coverage of species;
  • x: total coverage of species.
Grassland production was estimated by the Balázs method [72,73] using the following formula:
P = ( M s × B M × b ) / 100
  • P: yield [Kg/ha]
  • M: grass height [cm]
  • s: stubble height [cm]
  • BM: grass 400 [kg/ha]; alfalfa 470 [kg/ha]
  • b: coverage [%]
With knowledge of the average grass height and total coverage, the annual yield and animal capacity of the grasslands were estimated. The following data were considered: 60 kg/day green weight and a 210-day grazing season for cattle, 7 kg/day green weight and a 210-day grazing season for sheep. The ’ecological ordering’ and evaluation of species was performed according to Pignatti [74,75] because Raunkiær’s main life forms could not represent the distribution of the species, whereas Pignatti’s life forms adequately reflect grazing effects.
Pignatti’s life forms:
Perennial species
  • H scap: scapose hemicryptophytes
  • H caesp: caespitose hemicryptophytes
  • H ros: rosulate hemicryptophytes
  • H rept: reptanthe micryptophytes
  • H bienn: biennal hemicryptophytes
  • G bulb: bulbose geophytes
  • G rhiz: rhizome-geophytes
  • G rad: root-budding geophytes
Annual species
  • T scap: scapose therophytes
  • T caesp: caespitose therophytes
  • T rept: reptant therophytes
Dwarf shrub species
  • Chfrut: frutescens chamaephytes
  • Chrept: reptant chamaephytes
  • Chsucc: succulent chamaephytes
Subshrub species
  • Chsuffr: sufruticose chamaephytes
Woody species
  • P scap: Scapose phanerophytes
  • P caesp: Caespitose phanerophytes
  • NP: Nanophanerophytes
  • MP: Macrophanerophytes

2.3. Statistical Analysis

Plant diversity was analysed by applying the two most frequent diversity indexes (Shannon–Wiener and Simpson) [76] and the diversity application of the Chang Bioscience web page (http://www.changbioscience.com/genetics/shannon.html, accessed on 3 March 2023). The results are represented in diagrams. To compare the Shannon–Wiener and Simpson’s diversity indices of areas and biomass properties, the non-parametric Kruskal–Wallis test (α = 0.05) was used. The non-parametric post hoc Dunn’s test with Bonferroni correction was used for multiple pairwise comparisons [77].

3. Results

3.1. Species Composition and Structure of Vegetation

There were 135 species in the plots of the examined areas. Among the species, 61 species were frequently present. A higher proportion of species was noted in the woody habitats of Cserépfalu (CWA, CWB, CWC), with 23 species such as Arrhenatherum elatius, Astragalus glycyphyllos, Berteroa incana, Campanula bononiensis, Betonica officinalis, Carex caryophyllea, Carex praecox, Centaurea indurata, Centaurea micranthos, Centaurium erythraea, Danthonia alpina, Conyza canadensis, Cruciata laevipes, Dianthus armeria, Geranium columbinum, Inula britannica, Potentilla arenaria, Prunella laciniata, Sanguisorba minor, Setaria viridis, Ventenata dubia, Verbascum phlomoides, Vulpia myuros. Six species were associated only with the low-pressure pasture zone in Cserépfalu independent of the habitat (CWB, CGB): Carex pairae, Cirsium eriophorum, Lathyrus nissolia, Phleum phleoides, Helianthemum nummularium, Hypericum maculatum. Fifteen species were only present in Erdőbénye, such as Oxalis corniculata, Plantago major, Polygala amarella, Veronica officinalis, Stachys germanica, Scrophularia nodosa, Mentha pulegium, Nardus stricta, Juncus tenuis, Gypsophila muralis, Dipsacus laciniatus, Danthonia decumbens, Cruciata pedemontana, Campanula rapunculoides, Calamagrostis epigeios.
Four species present only in the grassland were found in both sample areas. The common species were mainly natural disturbance-tolerant species or weeds. Among the weeds, we also found thorny species due to grazing pressure, such as Eryngium campestre, Ononis spinosa, or Carduus acanthoides. Several weeds (Conyza canadensis, Setaria viridis) were also present within species that occurred only in Cserépfalu (C) or Erdőbénye (E). As an indicator of grazing pressure, for example, Poa humilis appeared in Erdőbénye.
Our results for Simpson and Shannon’s diversity indices showed similar trends (Table 1); however, a deeper evaluation revealed disparities. The woody habitat with intensive sheep grazing (EWA) differed significantly from the woody habitat grazed by sheep with low pressure (EWB) and from the abandoned cattle pasture (CWC) and the area grazed by cattle with low pressure (CWB), according to Simpson’s diversity index. Nevertheless, in terms of Shannon’s diversity index, the woody habitat with intensive sheep grazing (EWA) did not differ significantly from the abandoned cattle wood pasture (CWC). In addition, the woody habitat with low sheep grazing pressure (EWB) had significantly lower values than the woody habitat with high cattle grazing pressure (CWA) in terms of Simpson’s diversity index. However, in the case of Shannon’s diversity index, the abandoned cattle pasture (CWC) was also significantly different. Simpson’s diversity index for intensively grazed woody habitats (CWA) did not differ significantly from the other two cattle-grazed zones (CWB, CWC). By contrast, the abandoned wood pasture (CWC) had significantly higher values than the area with low pressure (CWB), according to Shannon’s diversity index. In the grassland (G) plots, there was no significant difference between the values of the two diversity indices. The cattle pasture with lower grazing pressure (CGB) significantly differed from the other areas except for the sheep pasture with high grazing pressure (EGA) in Simpson’s diversity index and the abandoned cattle pasture (CGC) in Shannon’s diversity index. Moreover, sheep pastures significantly differed from each other (EGA, EGB). The rest of the pastures had similar properties.
Two categories, important grass species and legume species, were highlighted in the grassland management analyses (Figure 2). The amount of important grass species for grassland management was significant in the sample areas. Among the dominant grasses, species of the genus Agrostis and Festuca had high cover values. Other important grass species were Dactylis glomerata, Elymus repens, Poa angustifolia, Cinosurosus cristatus, Alopecurus pratensis, and Arrhenatherum elatius. Among the important legume species for grassland management, the abundance of Lotus corniculatus was outstanding, and Trifolium species such as Trifolium campestre, T. pratensis, and T. ochroleuca were present in high proportions. In intensively grazed zones, the cover of Trifolium repens was also significant.
Shrub and tree species occurred mainly in the shrubby–woody complex (WA, WB). The abundance of shrubs showed contradictory results in the two sample areas. In Cserépfalu (C), the proportion of shrubs increased in the intensively grazed areas by Hungarian Grey Cattle, both in woody (CWB) and grassland (CGB) habitats. By contrast, the proportion of shrubs was reduced in both woody (EWB) and grassland (EGB) habitats in Erdőbénye (E).
Neutral dicotyledonous species for grassland management may also be important because they contain herbs, such as Thymus taxa. These thorny plants were mainly represented by two species, Ononis spinosa and Eryngium campestre, which had the highest proportion in the woody habitats of Cserépfalu (CWA, CWB), whereas the grassland habitat (G) plots had lower amounts characterized by 1–2% cover values. The abundance of other grasses, Carex and monocotyledonous species, grew as a consequence of increased grazing pressure and are well-represented in the plots from Cserépfalu.
Grass cover was highest in woody habitats with low grazing pressure (CWB) and in grasslands with low-pressure grazing (CGB). The lowest cover was found in the intensively grazed area (CGA). The abandoned pasture (CGC) also had low values. The proportion of important grasses for grassland management increased in the woody habitats and the grassland with low sheep grazing pressure in Erdőbénye (EWB), but the proportion of these useful grasses declined in the intensively sheep-grazed grassland area (EGA).

3.2. Assessment of Areas Based on Life Form Distribution

In terms of Pignatti’s life form distributions, herbaceous species were particularly dominant, especially perennial rosette (H ros) and perennial creeping stem plants (H rept), which were good indicators of grazing pressure (Figure 3). However, their proportions were different: creeping perennial species (H rept) and rosette perennial species (H ros) were usually more abundant in the sheep pasture than in cattle pasture. The abundance of shrubby (M, N, P caesp) species was naturally high in woody habitats (WA, WB, WC). Their quantity was lower in the sheep pasture (EWA, EWB) than in the cattle pasture. Caespitose hemicryptophytes (H caesp) were the dominant life forms in the sample areas. In addition to grassland species, the proportion of scapose hemicryptophyte species (H scap) was also significant. The number of species showing the reptanthe micryptophyte life form (H rept) indicated the intensity of grazing pressures with an average value of around 20%. The abundance of scapose therophyte (T scap) species was significant in grazed woody habitats (W).

3.3. Results of Biomass

Grassland management assessment was only applied to grassland (G) areas. Based on the results (Table 2), all sample areas were closed, multi-level pastures. The most intensive grazed zone (CGA) provided the highest yield with an estimated green weight of 14.4 t, whereas the lowest yield of 10.6 t/ha was in the grazed zone with lower pressure (CGB). The values of the abandoned pasture (CGC) were in between, but with the best forage quality (Table 2, Figure 4). The same pattern was observed in sheep-grazed pastures as grassland with higher pressure (EGA) provided a higher yield of 11 t/ha compared with the lower pressure zone (7.5 t/ha).
In the statistical evaluation, most grassland sample areas had total cover values that did not differ substantially. However, values for grassland with low grazing pressure (CGB) and abandoned pasture (CGC) in Cserépfalu differed significantly. For relative yield and yield values, the grassland with low grazing pressure in Erdőbénye (EGB) was significantly lower than the other grassland sample areas. Besides the grassland with low grazing pressure in Erdőbénye (EGB), the grassland with high grazing pressure in Cserépfalu (CGA) differed from the grassland with low grazing pressure in Cserépfalu (CGB). Nevertheless, these two sample areas did not differ significantly from the abandoned pasture (CGC) and the grassland with high grazing pressure in Erdőbénye (EGA). For quality relative yield, the grassland with low grazing pressure in Erdőbénye (EGB) had significantly lower values than the other sample areas, except for the grassland with low grazing pressure in Cserépfalu (CGB). The sheep pasture with high grazing pressure (EGA) had significantly higher quality relative yield than the cattle pasture with low grazing pressure (CGB) and the sheep pasture with low grazing pressure (EGB). The statistical results for the quality of the grassland sample areas showed that the values of the grassland with low grazing pressure in Cserépfalu (CGB) and the grassland with high grazing pressure in Erdőbénye (EGA) differed significantly. For the evaluated quality values (Table 2, Figure 4), the cattle pasture with low grazing pressure (CGB) and the sheep pasture with high grazing pressure (EGA) differed significantly, whereas the other sample areas did not differ significantly from each other. For examined height values, the grassland with low grazing pressure in Erdőbénye (EGB) had significantly lower values than the grasslands with low and high grazing pressure in Cserépfalu (CGA, CGB), whereas the cattle pasture with high grazing pressure (CGA) resulted in significantly higher values than the abandoned pasture (CGC) and sheep pastures (EGA, EGB).

4. Discussion

Several weeds and natural disturbance-tolerant species [78,79,80] were found in our study areas as a result of permanent grazing. Several plant species were valuable in terms of grassland management [70,81]. Some weeds were thorny species such as Eryngium campestre, Ononis spinosa, and Carduus acanthoides, which hampered grazing. There were numerous weed species in both Cserépfalu (C) and Erdőbénye (E), such as Conyza canadensis and Setaria viridis, which had low grassland management value. Poa humilis was present in Erdőbénye as an indicator species of grazing [82]. Some categories [69,83,84] were used to represent groups of grassland management importance as grasses are important protein and fibre sources [85].
Pignatti’s life forms [74] were found to be a better indicator of grazing intensity than Raunkiær life forms [86]. Caespitose hemicryptophyte species (H caesp) were especially dominant life forms in the investigation; however, it was also clearly shown that the proportion of rosette species was higher in sheep pastures because these plants quickly and efficiently adapted to sheep grazing. Sheep chew the grass short and are more species-selective in grazing, suggesting that sheep-grazed grassland vegetation adapts to appropriate life form species as a defence [87]. Due to the grazing habits of various livestock, their restoration effects differ and may have significantly different effects on grasslands and grazed areas [17,70]. The number of shrubs in the two sample areas was inverse. The proportion of shrubs increased in Cserépfalu (C), where cattle grazed intensively, and decreased in Erdőbénye (E), where sheep grazed. Our preliminary expectations were that sheep would consume more shrubs, thereby influencing their decreasing trend [29,88,89,90,91,92,93], but this did not occur in each sample plot. As grazing intensity increased, the abundance of reptanthe micryptophyte and rosulate hemicryptophyte species (H rept, H ros) increased, indicating an increase in grazing pressure. These trends were similar to those found in previous research [92]. The abundance of scapose therophyte (T scap) species was more significant in grazed woody habitats and grazed grassland areas due to intensive grazing and trampling, causing weed species encroachment. Several studies [43,94,95,96,97] showed that grazing positively affects plant biodiversity, leads to higher species richness [63], and increases diversity [98] in the woody–shrub–grassland mosaic system.
Considering the potential vegetation of the investigated areas, wood pastures can only be conserved through management. They represent a high landscape value formed by centuries of farming [99,100,101,102]. Since wood pastures consist of fragile ecosystems, overgrazing can cause major problems with their conservation [18,103]. Vegetation appearance and grassland yields are a good representation of the effects of grazing type and grazing management [99,104,105,106]. The changes caused by grazing depend on the grazed vegetation type, as different plant species may respond differently to “disturbance” [107]. In many instances, abandonment can be interpreted as a type of disturbance. Reviewing studies on the impact of grazing, it is clear that grazing is an important management practice to sustain grassland species diversity and landscape-level processes [108].

5. Conclusions

Overall, the studied wood pastures grazed by Hungarian Grey Cattle and Hungarian Racka Sheep produced different results. There were differences in diversity, proportion of Pignatti’s life forms, and grassland management values. The shrubby–woody and grassland mosaics were diverse at both studied locations. Hungarian Grey Cattle played a significant role in the conservation and formation of these patches by not consuming the shrubs. They also conserved the woody–shrub–grassland mosaic patches and habitat diversity. Based on our results, we concluded that cattle grazing significantly contributes to the dynamic development and long-term maintenance of pastures’ woody habitus. Sheep grazing, however, is important to grassland utilization and management, resulting in high values for important grass and legume species.
Therefore, we recommend selecting the most appropriate choice for each objective, even concerning zonation, because the most optimal wood–pasture management maintains vegetation for multiple purposes and ensures both ecological and economic benefits.

Author Contributions

Conceptualization, K.P. and S.S.; methodology, K.P. and F.P.; software, L.S., P.P. and S.S.; validation, Z.W.; formal analysis, L.S., P.P. and S.S.; investigation, K.P., D.S. and A.F.; resources, D.S.; data curation, D.S. and S.S.; writing—original draft preparation, K.P., S.S., M.F., F.P. and A.F.; writing—review and editing, E.S.-F., M.F., F.P. and A.F.; visualization, P.P.; supervision, K.P. and Z.W.; funding acquisition, K.P. and A.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by OTKA K-125423, OTKA K-147342, ÚNKP-23-3-II-MATE-29 New National Excellence Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund and MATE Research Excellence Project.

Data Availability Statement

The data that support the findings of this study are available upon request from the corresponding author.

Acknowledgments

The authors express their thanks to the colleagues of the Bükk National Park Directorate.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Location of sample areas in Hungary (a: Location of Hungary in the map of Europe, 1: C: Cserépfalu, 2: E: Erdőbénye).
Figure 1. Location of sample areas in Hungary (a: Location of Hungary in the map of Europe, 1: C: Cserépfalu, 2: E: Erdőbénye).
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Figure 2. Distribution of species classified by grassland management in each sample area.
Figure 2. Distribution of species classified by grassland management in each sample area.
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Figure 3. The distribution of the species according to Pignatti’s life forms in the sample areas.
Figure 3. The distribution of the species according to Pignatti’s life forms in the sample areas.
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Figure 4. Distribution of grassland species grouped by grassland management.
Figure 4. Distribution of grassland species grouped by grassland management.
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Table 1. Diversity means and standard deviations values of sample areas in Cserépfalu and Erdőbénye.
Table 1. Diversity means and standard deviations values of sample areas in Cserépfalu and Erdőbénye.
Woody (W) PlotsCWAEWACWBEWBCWC
Simpson diversity *0.89 ± 0.02
BCD
0.91 ± 0.02
D
0.85 ± 0.02
ABC
0.74 ± 0.02
A
0.86 ± 0.01
ABC
Shannon diversity2.74 ± 0.05
CD
2.87 ± 0.05
D
2.46 ± 0.04
ABC
2.21 ± 0.03
A
2.82 ± 0.10
D
Grassland (G) PlotsCGACGBCGCEGAEGB
Simpson diversity0.89 ± 0.01
BCD
0.83 ± 0.02
A
0.89 ± 0.02
BCD
0.83 ± 0.02
AB
0.89 ± 0.02
CD
Shannon diversity2.66 ± 0.05
BCD
2.23 ± 0.04
A
2.66 ± 0.05
ABCD
2.23 ± 0.6
AB
2.66 ± 0.03
CD
* Based on the Kruskal–Wallis and Dunn’s post hoc tests with Bonferroni correction. Bonferroni-corrected significance level: 0.005. Stand-alone letters indicate homogeneous groups (A or B or C or D) that significantly differ from each other. When heterogeneous groups have at least two different letters, they are not significantly different from groups with a common letter.
Table 2. Total cover, total yield, quality, and height of the grassland (G) in the sample areas (means and standard deviations).
Table 2. Total cover, total yield, quality, and height of the grassland (G) in the sample areas (means and standard deviations).
CGACGBCGCEGAEGB
Σ cover (%) *116 ± 8.9
AB
103.6 ± 17.4
A
125.1 ± 10.2
B
121.8 ± 15.3
AB
107.6 ± 8.4
AB
Σ relative yield3589 ± 334.9
C
2656.5 ± 578.1
B
2856 ± 293.6
BC
2750 ± 481.4
BC
1866 ± 116.4
A
Σ quality relative yield4217 ± 1548.8
BC
2621.4 ± 1890.9
AB
4053 ± 786.5
BC
4427 ± 959.6
C
2323 ± 568.4
A
quality1.15 ± 0.35
AB
1.06 ± 0.75
A
1.43 ± 0.28
AB
1.61 ± 0.22
B
1.24 ± 0.25
AB
height30.91 ± 1.04
C
25.47 ± 1.91
BC
22.82 ± 1.19
AB
22.44 ± 1.41
AB
17.38 ± 0.83
A
yield (t/ha)14.4 ± 1.3
C
10.6 ± 2.3
B
11.4 ± 1.2
BC
11.0 ± 1.9
BC
7.5 ± 0.5
A
* Based on Kruskal–Wallis test and Dunn’s post hoc test with Bonferroni correction. Bonferroni-corrected significance level: 0.005. The standalone letters indicate homogeneous groups (A or B or C) and those that significantly differ. When heterogeneous groups have at least two different letters, they are not significantly different from groups with a common letter.
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Penksza, K.; Saláta, D.; Fűrész, A.; Penksza, P.; Fuchs, M.; Pajor, F.; Sipos, L.; Saláta-Falusi, E.; Wagenhoffer, Z.; Szentes, S. Are Hungarian Grey Cattle or Hungarian Racka Sheep the Best Choice for the Conservation of Wood-Pasture Habitats in the Pannonian Region? Agronomy 2024, 14, 846. https://doi.org/10.3390/agronomy14040846

AMA Style

Penksza K, Saláta D, Fűrész A, Penksza P, Fuchs M, Pajor F, Sipos L, Saláta-Falusi E, Wagenhoffer Z, Szentes S. Are Hungarian Grey Cattle or Hungarian Racka Sheep the Best Choice for the Conservation of Wood-Pasture Habitats in the Pannonian Region? Agronomy. 2024; 14(4):846. https://doi.org/10.3390/agronomy14040846

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Penksza, Károly, Dénes Saláta, Attila Fűrész, Péter Penksza, Márta Fuchs, Ferenc Pajor, László Sipos, Eszter Saláta-Falusi, Zsombor Wagenhoffer, and Szilárd Szentes. 2024. "Are Hungarian Grey Cattle or Hungarian Racka Sheep the Best Choice for the Conservation of Wood-Pasture Habitats in the Pannonian Region?" Agronomy 14, no. 4: 846. https://doi.org/10.3390/agronomy14040846

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