Next Article in Journal
Nutrient Sustainability in Swiss Wood Extraction
Previous Article in Journal
Seasonal Variation in Wild Ungulate Abundance in a Hunting-Ban Beech Forest: A Case Study of Amiata Mountain, Central Italy
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

Occurrence and Activity of Roe Deer in Urban Forests of Warsaw †

1
Department of Forest Zoology and Wildlife Management, Institute of Forest Sciences, Warsaw University of Life Sciences, Nowoursynowska 159, 02-787 Warsaw, Poland
2
Institute of Environmental Protection—National Research Institute, Krucza 5/11D, 04-565 Warsaw, Poland
3
Department of Forest Ecology, Forest Research Institute, Sękocin Stary, Braci Leśnej 3, 05-090 Raszyn, Poland
4
Department of Forest Management Planning, Dendrometry and Forest Economics, Institute of Forest Sciences, Warsaw University of Life Sciences—SGGW, Nowoursynowska 159, 02-776 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Presented at the 1st International Electronic Conference on Forests—Forests for a Better Future: Sus-tainability, Innovation, Interdisciplinarity, 15–30 November 2020; Available online: https://iecf2020.sciforum.net.
Environ. Sci. Proc. 2021, 3(1), 35; https://doi.org/10.3390/IECF2020-07913
Published: 11 November 2020

Abstract

:
Human presence or activities are perceived by animals as those associated with predation risk so activity and exploration patterns of animals should be shaped by indices of anthropogenic disturbances. The high level of human disturbances is noticed in big cities. Therefore, the aim of the study was to determine the occurrence of roe deer in Warsaw and its activity in the Warsaw urban forests. We used snow tracking on transect routes (winter seasons 2016, 2017, 2018; 115.1 km in total) to determine roe deer occurrence in four habitats: forests, open areas, parks, and built-up areas. The number of tracks was highest in forests (4.6 tracks/1 km/24 h), followed by open areas, built-up areas, and parks. We used camera traps to determine the activity of roe deer in selected urban forests. We collected 697 observations of roe deer in Warsaw forests in the years 2016–2019 (per 4826 trap-days in total). The peak of roe deer activity was noticed between 4:00 and 5:00 a.m. Animals were least active at 1:00–2:00 p.m. and between 11:00 p.m.–01:00 a.m. Our research showed that roe deer inhabiting the urban area avoided human presence by using well-covered habitats and being active in periods when humans’ disturbances’ level is lower.

1. Introduction

Urbanization is considered as a global threat to biodiversity [1] and causes mainly landscape changes (habitat loss and fragmentation, reduced size, and connectivity of landscape patches) [2,3,4,5]. Nowadays, areas of undisturbed wilderness are rapidly decreasing, compelling wild animals to integrate into urban environments. Human presence and activities cause disturbances, which are perceived by animals as analogous to the presence of natural predators [6,7,8,9,10]. Predators affect animals’ populations directly, by reducing their density, but also indirectly, by altering their behavior [11,12] or physiology [13,14,15]. Therefore, seasonal and daily patterns of activity are adaptations to predation risk [16,17]. Nonlethal activities are considered as less harmful to wildlife, but human-induced disturbances can exceed the effects of predation risk [8,14]. To deal with anthropogenic stressors, animals may shift their activity to more sheltered habitats or darker nights (considering moon phases) or become more nocturnal [18,19,20].
One of the most numerous ungulates in Poland is roe deer Capreolus capreolus, the population of which has increased extensively in recent decades [21]. Roe deer inhabits mainly woodland and open habitats, utilizing the ecotone between forests and agricultural areas [22,23,24]. However, due to overabundant population, roe deer is recently observed in urban areas, inhabiting mainly suburbs [25,26,27], where they can avoid humans and human-associated dogs [2]. Although many papers are dedicated to the influence of human disturbances on animals’ activity, there is still lack of knowledge on how human disturbance affects wildlife in urban areas. Therefore, the aim of the research was to determine the occurrence of roe deer in Warsaw and its activity in the urban forests. We hypothesized that (1) roe deer inhabits more often forests than other habitats in the city, (2) daily activity of roe deer is higher in nights (between 10:00 p.m. and 06:00 a.m.), when the level of human disturbances is lower, and (3) considering moon phases, roe deer is more active during dark nights than bright nights.

2. Experimental Section

To describe the occurrence of roe deer in different habitats of Warsaw, snow tracking was done. Snow tracking on transect routes was conducted in three winter seasons in the years 2016–2018. The number of tracks was recorded per 100 m of tracking route. Tracking routes were distributed throughout Warsaw, in four types of habitat: forests, open areas, parks, and built-up areas. In total, transect routes reached 115.1 km.
To determine the activity of roe deer, we used camera traps. Camera traps were set randomly in 11 selected urban forests in the years 2016–2019 (4826 trap-days in total). Several types of camera traps were used in the study (Reconyx: PC90, PC800, PC850, PC900 HyperFire; Ltl Acorn 6210 MC; Browning Spec Ops Advantage). Reconyx camera traps took a series of three photos, at one-second intervals. Acorn and Browning camera traps took single photos at one-second intervals.
Each roe deer appearing in the images was recorded, without distinguishing between the individuals. Each registered roe deer was considered as a single observation if a minimum of 15 min elapsed between subsequent photos or series of photos of the animal. This rule was abandoned only when the animals in the photos were different in age, gender, or in other circumstances indicating that the animal in the photo was different from the previously registered one. A group of different individuals appearing in one picture or several series of pictures was also recorded as one observation. In total, 697 observations of roe deer in Warsaw forests were registered. Camera traps recorded date of the observation, time (24-h record), and moon phase.
We analyzed daily activity of roe deer, activity in eight moon phases (new moon, waxing crescent, first quarter, waxing gibbous, full moon, waning gibbous, last quarter, waning crescent), and roe deer activity in dark (new moon, waning crescent, waxing crescent) and bright nights (full moon, waning gibbous, waxing gibbous). We analyzed the impact of human disturbances on roe deer occurrence in the studied urban forests. We used level of light pollution [28], proximity to the buildings, and the nearest road. Around each forest, where camera traps were located, the 250-m buffer zone was set, in which the shares of buildings, roads, cemeteries, wooded areas, shrubs, and open areas were calculated. We also determined proximity to wooded area, shrubs, open areas, and cemeteries and its influence on roe deer occurrence in urban forests of Warsaw.

3. Results

3.1. Occurrence of Roe Deer in Different Habitats of Warsaw

The density of roe deer tracks was different in every type of habitat (Kruskal-Wallis, H = 27.86, p < 0.001). The density of tracks was highest in forests, followed by open areas (4.6 and 3.5 tracks/1 km/24 h, respectively) (Figure 1).

3.2. Activity of Roe Deer in Warsaw Urban Forests

The daily activity of roe deer was different in the subsequent hours (Chi2, χ2 = 181.75, df = 23, p < 0.001). The highest number of observations was noticed between 4:00 and 5:00 a.m., and the lowest at 1:00–2:00 p.m. and between 11:00 p.m.–01:00 a.m. The most observations were recorded in April–May and July–August, around the sunrise (Figure 2).
The number of roe deer observation differed in moon phases (Chi2, χ2 = 25.484, df = 7, p < 0.001). Roe deer was registered by camera traps more often during the first quarter and new moons (Figure 3).
Roe deer was more active during dark nights than bright nights (42% and 30% observations, respectively) (Chi2, χ2 = 11.483, df = 1, p < 0.001).
We found no significant relationship between number of recorded animals per 100 trap-days and any of the analyzed spatial parameters apart from the distance from the cemetery (r = 0.709, p = 0.022).

4. Discussion

Roe deer can be found in urban areas [29,30,31]. Different types of habitat provide food supply or shelter for animals. Therefore, the occurrence of ungulates is expected to be linked with specific habitats and habitat elements. Our study showed that occurrence of roe deer in Warsaw was associated with forests and open (mostly agricultural) areas, as it happens in a natural environment [22,23,24].
Our results showed that roe deer was more active at 4:00–5:00 a.m., around the sunrise, than in the middle of a day and at night. The daily activity of animals can vary, depending on many conditions, including predation risk [16,17,18]. Previous studies showed that under human disturbances roe deer activity, which in natural habitat is crepuscular with regular daytime activity, shifts to more nocturnal [19] or maintains its crepuscular pattern [31]. Both patterns enable roe deer to avoid humans. In city, the activity of humans is higher than in less urban areas, and the lowest level of human disturbances is noted at night and around the sunrise [31].
Animals being prey for predatory species shifts their activity to darker nights and moon phases [32]. Human disturbances are linked to predatory risk by roe deer [19,33]. Therefore, we hypothesized that roe deer will be more active during darker nights. Indeed, activity in moon phases showed that roe deer was active more often in first quarter, waxing crescent, and new moons, when the level of illumination reflected by the Moon is the lowest.
Our research showed that the occurrence of roe deer in Warsaw was not linked to land cover around urban forests or distance to roads, buildings, or green areas in the city. Also, other studies conducted in cities showed no correlation between spatial parameters and occurrence of mammalian species [34]. The presence of roe deer was positively correlated with distance to cemeteries, very specific green areas in an urbanized landscape. Level of human disturbances in such places is very low. Therefore, in cemeteries many mammal species are observed [35].

5. Conclusions

Our research showed that roe deer inhabiting the urban area avoided human presence by using well-covered habitats and being active in periods when humans’ disturbances’ level was lower.

Author Contributions

Conceptualization, K.D.J.; methodology, K.D.J., M.J., S.B., and D.K.-G.; formal analysis, S.B.; investigation, K.D.J., M.J., and K.S.; resources, J.G. and M.J.; data curation, K.D.J. and M.J.; writing—original draft preparation, K.D.J., M.J., S.B., and D.K.-G.; writing—review and editing, K.D.J. and D.K.-G.; visualization, K.D.J.; supervision, K.D.J. and D.K-G.; project administration, K.D.J. All authors have read and agreed to the published version of the manuscript.

Funding

The article was financed by the Polish Ministry of Science and Higher Education with funds of the Institute of Forest Sciences, Warsaw University of Life Sciences (WULS), for scientific research.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. McKinney, M.L. Urbanization as a major cause of biotic homogenization. Biol. Conserv. 2006, 127, 247–260. [Google Scholar] [CrossRef]
  2. Hewison, A.J.M.; Vincent, J.P.; Joachim, J.; Angibault, J.M.; Cargnelutti, B.; Cibien, C. The effects of woodland fragmentation and human activity on roe deer distribution in agricultural landscapes. Can. J. Zool. 2001, 79, 679–689. [Google Scholar] [CrossRef]
  3. Acevedo, P.; Delibes-Mateos, M.; Escudero, M.A.; Vicente, J.; Marco, J.; Gortazar, C. Environmental constraints in the colonization sequence of roe deer (Capreolus capreolus Linnaeus, 1758) across the Iberian Mountains, Spain. J. Biogeogr. 2005, 32, 1671–1680. [Google Scholar] [CrossRef]
  4. Syphard, A.D.; Clarke, K.C.; Franklin, J.; Regan, H.M.; McGinnis, M. Forecasts of habitat loss and fragmentation due to urban growth are sensitive to source of input data. J. Environ. Manag. 2011, 92, 1882–1893. [Google Scholar] [CrossRef] [PubMed]
  5. Scolozzi, R.; Geneletti, D. A multi-scale qualitative approach to assess the impact of urbanization on natural habitats and their connectivity. Environ. Impact Assess. Rev. 2012, 36, 9–22. [Google Scholar] [CrossRef]
  6. Frid, A.; Dill, L.M. Human-caused disturbance stimuli as a form of predation risk. Conserv. Ecol. 2002, 6, 11. [Google Scholar] [CrossRef]
  7. Proffitt, K.M.; Grigg, J.L.; Hamlin, K.L.; Garrott, R.A. Contrasting effects of wolves and human hunters on elk behavioral responses to predation risk. J. Wildl. Manag. 2009, 73, 345–356. [Google Scholar] [CrossRef]
  8. Ciuti, S.; Northrup, J.M.; Muhly, T.B.; Simi, S.; Musiani, M.; Pitt, J.A.; Boyce, M.S. Effects of humans on behaviour of wildlife exceed those of natural predators in a landscape of fear. PLoS ONE 2012, 7, e50611. [Google Scholar] [CrossRef]
  9. Suarez, A.V.; Holway, D.A.; Case, T.J. Patterns of spread in biological invasions dominated by long-distance jump dispersal: Insights from Argentine ants. Proc. Natl. Acad. Sci. USA 2001, 98, 1095–1100. [Google Scholar] [CrossRef]
  10. Rich, C.; Longcore, T. Ecological Consequences of Artificial Night Lighting; Island Press: London, UK, 2006. [Google Scholar]
  11. Lima, S.L.; Dill, L.M. Behavioral decisions made under the risk of predation—A review and prospectus. Can. J. Zool. 1990, 68, 619–640. [Google Scholar] [CrossRef]
  12. Warren, R. Deer overabundance in the USA: Recent advances in population control. Anim. Prod. Sci. 2011, 51, 259–266. [Google Scholar] [CrossRef]
  13. Boonstra, R.; Hik, D.; Singleton, G.; Tinnikov, A. The impact of predator- induced stress on the snowshoe hare cycle. Ecol. Monogr. 1998, 68, 371–394. [Google Scholar] [CrossRef]
  14. Zbyryt, A.; Bubnicki, J.W.; Kuijper, D.P.J.; Dehnhard, M.; Churski, M.; Schmidt, K. Do wild ungulates experience higher stress with humans than with large carnivores? Behav. Ecol. 2018, 29, 19–30. [Google Scholar] [CrossRef]
  15. Creel, S.; Christianson, D.; Liley, S.; Winnie, J.A., Jr. Predation risk affects reproductive physiology and demography of elk. Science 2007, 315, 960. [Google Scholar] [CrossRef] [PubMed]
  16. Hetem, R.S.; Strauss, W.M.; Fick, L.G.; Maloney, S.K.; Meyer, L.C.R.; Shobrak, M.; Fuller, A.; Mitchell, D. Does size matter? Comparison of body temperature and activity of free-living Arabian oryx (Oryx leucoryx) and the smaller Arabian sand gazelle (Gazella subgutturosa marica) in the Saudi desert. J. Comp. Physiol. B 2012, 182, 437–449. [Google Scholar] [CrossRef]
  17. Phillips, A.J.K.; Fulcher, B.D.; Robinson, P.A.; Klerman, E.B. Mammalian rest/activity patterns explained by physiologically based modeling. PLoS Comput. Biol. 2013, 9, e1003213. [Google Scholar] [CrossRef]
  18. Lima, S.L.; Bednekoff, P.A. Temporal variation in danger drives antipredator behavior: The predation risk allocation hypothesis. Am. Nat. 1999, 153, 649–659. [Google Scholar] [CrossRef]
  19. Bonnot, N.; Morellet, N.; Verheyden, H. Habitat use under predation risk: Hunting, roads and human dwellings influence the spatial behavior of roe deer. Eur. J. Wildl. Res. 2013, 59, 185–193. [Google Scholar] [CrossRef]
  20. Bonnot, N.; Morellet, N.; Hewison, A.J.M.; Martin, J.-L.; Benhamou, S.; Chamaillé-Jammes, S. Black-tailed deer (Odocoileus hemionus sitkensis) adjust habitat selection and activity rhythm to the absence of predators. Can. J. Zool. 2016, 94, 385–394. [Google Scholar] [CrossRef]
  21. Bragina, E.V.; Ives, A.R.; Pidgeon, A.M.; Balčiauskas, L.; Csányi, S.; Khoyetskyy, P.; Kysucká, K.; Lieskovsky, J.; Ozolins, J.; Randveer, T.; et al. Wildlife population changes across Eastern Europe after the collapse of socialism. Front. Ecol. Environ. 2018, 16, 77–81. [Google Scholar] [CrossRef]
  22. Putman, R.J. Foraging by roe deer in agricultural areas and impact on arable crops. J. Appl. Ecol. 1986, 23, 91–99. [Google Scholar] [CrossRef]
  23. McLoughlin, P.D.; Gaillard, J.-M.; Boyce, M.S.; Bonenfant, C.; Messier, F.; Duncan, P.; Delorme, D.; Van Moorter, B.; Saïd, S.; Klein, F. Lifetime reproductive success and composition of the home range in a large herbivore. Ecology 2007, 88, 3192–3201. [Google Scholar] [CrossRef] [PubMed]
  24. Panzacchi, M.; Linnell, J.D.C.; Odden, M.; Odden, J.; Andersen, R. Habitat and roe deer fawn vulnerability to red fox predation. J. Anim. Ecol. 2009, 78, 1124–1133. [Google Scholar] [CrossRef]
  25. McCarthy, A.; Baker, A.; Rotherham, I. Urban-fringe deer management issues-a South Yorkshire case study. Br. Wildl. 1996, 8, 12–19. [Google Scholar]
  26. Kilpatrick, H.; Spohr, S. Spatial and temporal use of a suburban landscape by female white-tailed deer. Wildl. Soc. Bull. 2000, 28, 1023–1029. [Google Scholar]
  27. Mattila, M.; Hadjigeorgiou, I. Conservation and management of fallow deer (Dama dama dama L.) on Lemnos Island, Greece. Turk. J. Vet. Anim. Sci. 2015, 39, 560–567. [Google Scholar] [CrossRef]
  28. Loro, M.; Ortega, E.; Arce, R.M.; Geneletti, D. Assessing landscape resistance to roe deer dispersal using fuzzy set theory and multicriteria analysis: A case study in Central Spain. Landsc. Ecol. Eng. 2016, 12, 41–60. [Google Scholar] [CrossRef]
  29. Brazaitis, G.; Pėtelis, K.; Žalkauskas, R.; Belova, O.; Danusevičius, D.; Marozas, V.; Narauskaitė, G. Landscape effect for the Cervidaes Cervidae in human-dominated fragmented forests. Eur. J. For. Res. 2014, 133, 857–869. [Google Scholar] [CrossRef]
  30. Ciach, M.; Fröhlich, A. Ungulates in the city: Light pollution and open habitats predict the probability of roe deer occurring in an urban environment. Urban. Ecosyst. 2019, 22, 513–523. [Google Scholar] [CrossRef]
  31. Wevers, J.; Fattebert, J.; Casaer, J.; Artois, T.; Beenaerts, N. Trading fear for food in the Anthropocene: How ungulates cope with human disturbance in a multi-use, suburban ecosystem. Sci. Total Environ. 2020, 741, 140369. [Google Scholar] [CrossRef]
  32. Prough, L.R.; Golden, C.D. Does moonlight increase predation risk? Meta-analysis reveals divergent responses of nocturnal mammals to lunar cycles. J. Anim. Ecol. 2014, 83, 504–514. [Google Scholar] [CrossRef] [PubMed]
  33. Lone, K.; Loe, L.E.; Gobakken, T.; Linnell, J.D.C.; Odden, J.; Remmen, J.; Mysterud, A. Living and dying in a multi-predator landscape of fear: Roe deer are squeezed by contrasting pattern of predation risk imposed by lynx and humans. Oikos 2014, 123, 641–651. [Google Scholar] [CrossRef]
  34. Łopucki, R.; Klich, D.; Kitowski, I. Are small carnivores urban avoiders or adapters: Can they be used as indicators of well-planned green areas? Ecol. Indic. 2019, 101, 1026–1031. [Google Scholar] [CrossRef]
  35. Jasińska, K.; Goszczyński, J. The occurrence of mammals in Warszawa cemeteries. In Urban Fauna. Studies of Animal Biology, Ecology and Conservation in European Cities; Indykiewicz, P., Jerzak, L., Böhner, J., Kavanagh, B., Eds.; University of Technology and Life Sciences in Bydgoszcz: Bydgoszcz, Poland, 2011; pp. 533–541. [Google Scholar]
Figure 1. Average number (+SD) of roe deer tracks in four different types of habitat recorded during snow tracking in Warsaw in the years 2016–2018.
Figure 1. Average number (+SD) of roe deer tracks in four different types of habitat recorded during snow tracking in Warsaw in the years 2016–2018.
Environsciproc 03 00035 g001
Figure 2. Distribution of the number of roe deer observations (a) over time of a day, (b) over days of a year and time of a day (sunset—yellow, sunrise—blue curve), as recorded by camera traps distributed in urban forests of Warsaw in the years 2016–2019.
Figure 2. Distribution of the number of roe deer observations (a) over time of a day, (b) over days of a year and time of a day (sunset—yellow, sunrise—blue curve), as recorded by camera traps distributed in urban forests of Warsaw in the years 2016–2019.
Environsciproc 03 00035 g002
Figure 3. Distribution of the number of roe deer observations over moon phases as recorded by camera traps distributed in urban forests of Warsaw in the years 2016–2019.
Figure 3. Distribution of the number of roe deer observations over moon phases as recorded by camera traps distributed in urban forests of Warsaw in the years 2016–2019.
Environsciproc 03 00035 g003
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Jasińska, K.D.; Jackowiak, M.; Gryz, J.; Bijak, S.; Szyc, K.; Krauze-Gryz, D. Occurrence and Activity of Roe Deer in Urban Forests of Warsaw. Environ. Sci. Proc. 2021, 3, 35. https://doi.org/10.3390/IECF2020-07913

AMA Style

Jasińska KD, Jackowiak M, Gryz J, Bijak S, Szyc K, Krauze-Gryz D. Occurrence and Activity of Roe Deer in Urban Forests of Warsaw. Environmental Sciences Proceedings. 2021; 3(1):35. https://doi.org/10.3390/IECF2020-07913

Chicago/Turabian Style

Jasińska, Karolina D., Mateusz Jackowiak, Jakub Gryz, Szymon Bijak, Katarzyna Szyc, and Dagny Krauze-Gryz. 2021. "Occurrence and Activity of Roe Deer in Urban Forests of Warsaw" Environmental Sciences Proceedings 3, no. 1: 35. https://doi.org/10.3390/IECF2020-07913

Article Metrics

Back to TopTop