Assessing microhabitat use by roe deer and moose in China
Guangshun Jiang A , Jianzhang Ma A C , Minghai Zhang A and Philip Stott BA College of Wildlife Resources, Northeast Forestry University, 26 Hexing Road, Harbin, Heilongjiang 150040, People’s Republic of China.
B School of Agriculture Food and Wine, Roseworthy Campus, The University of Adelaide, Roseworthy, SA 5371, Australia.
C Corresponding author. Email: jianzhangma@163.com
Wildlife Research 36(2) 134-142 https://doi.org/10.1071/WR08092
Submitted: 16 June 2008 Accepted: 22 October 2008 Published: 20 February 2009
Abstract
Potential conflicts between forestry production practices and wildlife habitat requirements are increasing globally with rapid socioeconomic development. Moose (Alces alces cameloides) and roe deer (Capreolus pygargus bedfordi) populations are in decline in north-eastern China, an area managed for forestry production. We obtained detailed information about these species’ use of habitat by following their movement paths in snow and recording behaviours exhibited along their paths. We used fractal analysis, Mann–Whitney U-tests and linear mixed models to analyse the paths and the relationships between tortuousity, habitat, and the expressed behaviours at different spatial scales. This analysis showed a natural break in the fractal dimension of moose movement paths at a scale of ~10 m, suggesting that moose exhibited different responses to their microhabitat and behavioural requirements at scales above and below this threshold. However, we detected no differences in the responses of roe deer over a scale range of 3–20 m. Moose paths tended to pass through areas with higher basal areas of tree stems and those with deeper snow. Roe deer showed positive associations between tortuousity and the number of bedding sites and feeding sites, and a negative association between tortuousity and the total basal area of tree stems. There was a positive relationship between the numbers of bedding and defaecating sites, and a negative association between the number of bedding sites and snow depth. For moose, we found positive associations between tortuousity and the number of defaecating sites, the basal areas of both broadleaf stands and mixed conifer and broadleaf stands, and a negative association between tortuousity and the number of feeding sites. We concluded that roe deer foraged in accordance with patch-use theory, whereas moose foraged in accordance with diet-selection theory. We concluded that modifications to forestry practices to foster the populations of both species of deer will require forestry operations to be conducted on a much finer scale, and that one species can be promoted over the other by selective fine-scale habitat management.
Acknowledgements
Our study was funded by the Heilongjiang Provincial Natural Science Foundation of China (key program project: Forest fragmentation influence on deer and their adaptation mechanism. Agreement No. ZJN-0501), National Natural Science Foundation of China: A New Molecular Biological Method of Home Range Determination of Red Deer in NE China Based on Geomatics Technique (Agreement No. 30870309), Rhinoceros and Tiger Conservation Fund (Agreement No. 98210-2-G191), USA and the Excellent Dissertation Fund for Ph.D. of North-east Forestry University, China. We appreciate help from the staff of the Heilongjiang Dazhanhe Wetland Reserve Management Bureau, especially J. X. Gu and S. S. Wang. We thank Dr Andrea Taylor and three anonymous reviewers who provided helpful advice.
Andrén, H. , and Angelstam, P. (1993). Moose browsing on Scots pine in relation to stand size and distance to forest edge. Journal of Applied Ecology 30, 133–142.
| Crossref | GoogleScholarGoogle Scholar |
Bowyer, R. T. , and Kie, J, G. (2006). Effects of scale on interpreting life-history characteristics of ungulates and carnivores. Diversity & Distributions 12, 244–257.
| Crossref | GoogleScholarGoogle Scholar |
Cederlund, G. (1989). Activity patterns in moose and roe deer in a north boreal forest. Holarctic Ecology 12, 39–45.
Holter, J. B. , Urban, W. E. , and Hayes, H. H. (1979). Predicting energy and nitrogen retention in young white-tailed deer. Journal of Wildlife Management 43, 880–888.
| Crossref | GoogleScholarGoogle Scholar |
Jiang, G. S. , Zhang, M. H. , and Ma, J. Z. (2007). Effects of human disturbance on movement, foraging and bed site selection in red deer Cervus elaphus xanthopygus from the Wandashan Mountains, northeastern China. Acta Theriologica 52, 435–446.
Moen, A. N. (1976). Energy-conservation by white-tailed deer in winter. Ecology 57, 192–198.
| Crossref | GoogleScholarGoogle Scholar |
Parker, K. L. , Robbins, C. T. , and Hanley, T. A. (1984). Energy expenditures for locomotion by mule deer and elk. Journal of Wildlife Management 48, 474–488.
| Crossref | GoogleScholarGoogle Scholar |
Ratikainen, I. , Panzacchi, M. , Mysterud, A. , Odden, J. , Linnell, J. , and Andersen, R. (2007). Use of winter habitat by roe deer at a northern latitude where Eurasian lynx are present. Journal of Zoology 273, 192–199.
| Crossref | GoogleScholarGoogle Scholar |
Stocker, M. , and Gilbert, F. F. (1977). Vegetation and deer habitat relations in southern Ontario: application of habitat classification to white-tailed deer. Journal of Applied Ecology 14, 433–444.
| Crossref | GoogleScholarGoogle Scholar |
Wiens, J. A. (1989). Spatial scaling in ecology. Functional Ecology 3, 385–397.
| Crossref | GoogleScholarGoogle Scholar |
With, K. A. (1994). Ontogenetic shifts in how grasshoppers interact with landscape structure:an analysis of movement patterns. Functional Ecology 8, 477–485.
| Crossref | GoogleScholarGoogle Scholar |
Wolfinger, R. D. (1996). Heterogeneous variance–covariance structures for repeated measures. Journal of Agricultural Biological & Environmental Statistics 1, 205–230.
| Crossref | GoogleScholarGoogle Scholar |
Zhang, J. , and Gan, J. (2007). Who will meet China’s import demand for forest products? World Development 35, 2150–2160.
| Crossref | GoogleScholarGoogle Scholar |
Zhang, Y. , Tachibana, S. , and Nagata, S. (2006). Impact of socio-economic factors on the changes in forest areas in China. Forest Policy and Economics 9, 63–76.
| Crossref | GoogleScholarGoogle Scholar |