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Efficient placement of nest boxes for Siberian flying squirrels Pteromys Volans: effects of cavity density and nest box installation height.

Gliding mammals are important dispersers of ectomycorrhizal fungi (Pyare & Longland 2001) and prey of threatened owl species (Carey et al. 1992, Carey & Peeter 1995, Smith 2007). To evaluate these roles of gliding mammals, it is important to study their locomotor performance and population dynamics, which requires trapping. One useful method of capturing gliding mammals is the use of nest boxes (Selonen & Hanski 2004, Taulman & Smith 2004, Lampila et al. 2009); however, nest boxes tend to have low occupancy rates (Suzuki et al. 2008, Reynolds et al. 2009). We investigated how to solve this problem for the Siberian flying squirrel Pteromys volans, a species which can mainly be trapped using nest boxes (e.g. Selonen & Hanski 2004, Selonen et al. 2007).

With the aim of optimising nest box placement in Siberian flying squirrel research, we investigated nest box selection by this species; specifically, we examined the characteristics of the trees in which boxes were installed, the box height and the cavity and box density. We tested the following three hypotheses: 1) nest box use depends on the characteristics of the tree in which the nest box is installed because they affect the flying squirrel species' decision on whether or not to use a particular cavity (Meyer et al. 2005, Holloway & Malcolm 2007); 2) the squirrels favour nest boxes installed at high locations because they usually live in the upper layers of trees and land on tree trunks [greater than or equal to] 1m above the ground (Suzuki et al 2012); and 3) nest boxes are rarely used if they are installed at high density or in forests with a high cavity density because Siberian flying squirrels, in particular females, tend to reduce home-range overlap (Asari 2008).


Study areas

We surveyed forests (42[degrees]51'-53'N, 143[degrees]09,-11'E) in Obihiro (in Hokkaido), northern Japan, occupied by Siberian flying squirrels. The forests in this area have been fragmented by clearance for agriculture, road-building and urban development. They currently comprise conifers (29%) including Korean pine Pinus koraiensis, eastern white pine Pinus strobus and Japanese larch Larix leptolepis and broad-leaved trees (71%) including Japanese white birch Betula platyphylla, Manchurian walnut Juglans mandshurica and Japanese emperor oak Quercus dentata. In the forests, height and diameter at breast height (DBH) of trees (N = 173) averaged 15.3 [+ or -] 5.6 (SD) m and 26.0 [+ or -] 11.3 cm, respectively, and tree density averaged 692/ha (Suzuki et al. 2012, Suzuki & Yanagawa 2012).

Nest box survey

We installed 96 boxes (volume 3,456 [cm.sup.3], measuring 24 cm vertical depth x 8 cm range x 18 cm horizontal depth, with a 4.5-cm circular entrance near the top of one side wall and a 2.5-cm wall thickness) in June 2010 under various conditions at 10 sites (Table 1). In 2010, we checked the boxes in July, September, October and November, and in 2011 we checked them in January, May, June, July, August and October. To clarify nest-box use in winter, we removed nest materials after the October 2010 check, and did not remove them after any other checks. All nest materials present from November 2010 onwards were therefore counted as new nest materials. We marked captured Siberian flying squirrels with individually numbered ear tags (KN-295-A, Natsume Seisakusho Co., Ltd) and calculated the smallest number of individual squirrels using each nest box. We categorised the nest boxes as 'used' if they contained Siberian flying squirrels or their nest materials, or both. In contrast, we categorised the boxes as 'unused' if squirrels or materials were not observed in the box throughout the study period.

To examine nest-box selection by Siberian flying squirrels, we recorded cavity densities in the study areas (see Table 1). We have been surveying tree cavities in this area since 2003 (Muraki & Yanagawa 2006, Nakama & Yanagawa 2009, Suzuki et al. 2011b, Suzuki & Yanagawa 2012), and for this study we again surveyed the cavities in all the trees in the area. We were able to check all of the trees because the area of forest in this location is very small (Konno 2002). We calculated the cavity density from the results of these surveys. In addition, we examined five parameters of the trees in which the nest boxes were installed, i.e. tree type (broad-leaved 79%, conifer 21%), tree health (dead 5%, alive 95%), tree height, diameter at breast height (DBH) and canopy height (Table 2). We did this because we considered these attributes to likely be influencing nest site selection by gliding mammals. Canopy height was set to 0 for dead trees. Tree height, DBH and canopy height were summarised as principal components to give a single indicator of tree size because generally these variables are highly positively correlated. We also recorded nest-box entrance heights (see Table 2).

Data analysis

To clarify nest-box selection by Siberian flying squirrels, we used a generalised linear mixed model (GLMM) to examine the influence of these attributes on nest-box use by squirrels. The parsimony of the models was assessed by using Akaike's Information Criterion (AIC). In the GLMM, we treated nest box occupancy status ('used' vs 'unused') as the dependent variable. As fixed effects we used tree type, tree health, a first principal component (PC1, proportion of variance = 78.8) consisting of tree height (factor loading = 0.60), DBH (0.57) and canopy height (0.56), nest-box height, cavity density and nest-box density (see Table 1). In addition, to avoid any influences of differences in the number of nest boxes installed and the occurrence of squirrels with differences in forest size, we used the number of boxes and forest size as fixed effects. Site identity (10 sites) was treated as a random effect.


Nest-box use

During our study period, a total of 47 nest boxes (49%) were used (i.e. squirrels or nest materials, or both, were present) by at least 15 different Siberian flying squirrels and 49 boxes were unused. Squirrels or their new nest materials, or both, were observed only in July-October 2010 and May-October 2011; they were absent in November 2010 and January 2011 (Fig. 1).

Nest-box selection

As a result of model selection, two variables (i.e. nest-box height and cavity density) were ranked in the top model (Table 3). This top model had the lowest number of variables. These two variables were also included in the second and third models, which had a [DELTA]AIC of < 2. Accordingly, model selection based on GLMM highlighted these variables as important factors affecting nest-box selection by Siberian flying squirrels (Table 4).

Nest-box height was positively correlated with use by the squirrels. The height of the nest boxes selected averaged 1.8 m (SE = 0.06), whereas the mean height of unused boxes was 1.3 m (SE = 0.06). Notably, 90% (18/20) of nest boxes installed at heights of at least 2 m were used, but none below 1 m were used (Fig. 2). Cavity density was negatively correlated with nest-box use (Fig. 3). The rate of nest-box use increased in forests with < 2 cavities/ha. These results indicate that Siberian flying squirrels tend to select nest boxes installed in higher positions or in forests with a lower cavity density.


Two characteristics of the squirrels' use of nest boxes were revealed. First, the nest boxes were used from spring to autumn only (May-October) and not during winter (November-January). Second, Siberian flying squirrels preferred to use nest boxes installed at heights of 2.0-2.8 m (see Fig. 2) or in forests with < 2 cavities/ha (see Fig. 3).

Nest boxes are useful for capturing flying squirrel species (Selonen & Hanski 2004, Taulman & Smith 2004, Lampila et al. 2009). However, there has hitherto been no research into the efficient placement of nest boxes for flying squirrels, despite their low nesting ratios (Suzuki et al. 2008, Reynolds et al. 2009). The installation method that we propose may help resolve this problem because it results in high nesting rates of Siberian flying squirrels.

Siberian flying squirrels did not use the boxes during winter. Nest box uses by the squirrels are known to be low during winter in Japan (Yanagawa 1994, Asari & Yanagawa 2008); we believe that this is due to the boxes' poor heat retention (Yanagawa 1994). During winter, the squirrels move into deeper tree cavities (average depth of 20.2 cm) to escape the cold by means of group nesting (Nakama & Yanagawa 2009). Our nest boxes were not used during winter despite their large vertical depth (24 cm), making them sufficient for group nesting. Nest-box surveys should therefore not be done during winter because of their inefficiency, or nest boxes should be designed to better support flying squirrel use in cold weather.

Siberian flying squirrels use nest boxes in forests with lower cavity densities (see Fig. 3); however, this species may not be common in forests with low cavity densities (Selonen & Hanski 2012). It should therefore be confirmed beforehand whether it is present in any given environment. This can easily be done by searching under cavity trees for the squirrels' accumulated faeces (Suzuki et al. 2011b).

Previously, nest boxes for Siberian flying squirrels were frequently installed at heights of > 3 m (Yanagawa 1994, Masuda 2003, Suzuki et al. 2011a). However, observing nest boxes in high positions requires increased effort and thus reduces research efficiency, e.g. the cost of observing a box installed at > 2.5 m height is triple the cost at 1.5-2.0 m (Ando 2007). According to our results and those of Ando (2007), to increase research efficiency, nest boxes should not be installed at heights > 3m.

These results indicate that research on Siberian flying squirrels can be made more efficient if 1) nest boxes are installed at 2-2.5 m height, 2) if they are installed in forests with < 2 cavities/ha, and 3) by observing the boxes between spring and autumn only.

DOI: 10.2981/12-048

Acknowledgements--we thank Drs. M. Ando, T. Oshida, M. Takada and Y. Asari for their constructive comments on this manuscript. We also thank M. Minoshima for support with the field work.


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Kei Suzuki & Hisashi Yanagawa, The United Graduate School of Agricultural Sciences, Iwate University, Morioka 020-8550, Japan, and Laboratory of Wildlife Ecology, Obihiro University of Agriculture and Veterinary Medicine, Obihiro 080-8555, Japan--e-mail addresses: (Kei Suzuki); (Hisashi Yanagawa)

Corresponding author: Kei Suzuki

Received 10 May 2012, accepted 23 November 2012

Associate Editor: Luc A. Wauters

Table 1. Parameters of forests and woods in which nest boxes were
installed. CD: cavity density; NBD: nest box density; FS: forest
size; NBH: nest box height; TH: tree height (mean [+ or -] SD);
DBH diameter at breast height (mean [+ or -] SD); CH: canopy
height (mean [+ or -] SD); CP: percentage of conifer; LP:
percentage of live tree.

Forest type         CD          NBD        FS          NBH
                  (number   (number/ha)   (ha)         (m)

Riparian forest     0.9         5.2       4.5    1.7 [+ or -] 0.4
Riparian forest     0.5         1.9       4.1    1.7 [+ or -] 0.7
Riparian forest     1.7         2.0       3.0    1.5 [+ or -] 0.3
Riparian forest     3.2         5.0       2.2    1.5 [+ or -] 0.5
Riparian forest     0.6         6.0       1.7    1.6 [+ or -] 0.3
Small forest        1.9         4.8       3.1    1.6 [+ or -] 0.6
Small forest        3.3         6.7       0.6    2.0 [+ or -] 0.5
Small forest        5.0         7.5       0.4    2.0 [+ or -] 0.7
Windbreak woods     2.7         6.0       1.5    1.4 [+ or -] 0.5
Windbreak wood      0.0         7.8       0.9    1.3 [+ or -] 0.3

Forest type       Nest box installation tree

                       TH (m)              DBH (cm)

Riparian forest   13.5 [+ or -] 3.5   21.9 [+ or -] 8.1
Riparian forest   14.2 [+ or -] 4.5   20.7 [+ or -] 7.8
Riparian forest   16.2 [+ or -] 4.9   27.2 [+ or -] 9.2
Riparian forest   14.6 [+ or -] 3.3   22.9 [+ or -] 7.4
Riparian forest   12.5 [+ or -] 1.6   17.3 [+ or -] 6.1
Small forest      17.5 [+ or -] 8.1   28.7 [+ or -] 10.3
Small forest      17.7 [+ or -] 4.0   26.8 [+ or -] 9.8
Small forest      18.8 [+ or -] 2.7   30.1 [+ or -] 4.4
Windbreak woods   16.6 [+ or -] 4.8   27.8 [+ or -] 5.9
Windbreak wood    18.5 [+ or -] 6.2   34.1 [+ or -] 5.8

Forest type       Nest box installation tree

                       CH (m)         CP (%)   LP (%)

Riparian forest   7.6 [+ or -] 2.9      0       100
Riparian forest   10.5 [+ or -] 4.3     0       100
Riparian forest   8.3 [+ or -] 4.7      0        83
Riparian forest   10.0 [+ or -] 2.8     0       100
Riparian forest   9.2 [+ or -] 2.9      0       100
Small forest      9.2 [+ or -] 8.0      60       80
Small forest      11.2 [+ or -] 2.3     0       100
Small forest      13.8 [+ or -] 4.8     33      100
Windbreak woods   9.1 [+ or -] 5.8      33       89
Windbreak wood    16.1 [+ or -] 5.9    100      100

Table 2. Parameters of trees in which nest boxes were installed,
and nest box installation heights. Canopy height was set to 0 for
dead trees.

Variable               Mean   SD    Minimum   Maximum

Tree height (m)        15.4   5.1     3.2      27.0
Diameter at            24.7   8.9     4.8      44.6
  breast height (cm)
Canopy height (m)      9.7    5.1     0.0      23.0
Nest box height (m)    1.6    0.5     0.7       2.8

Table 3. Model selection using a generalised linear mixed model.
PC1 is a principal component summarising tree height, diameter
at breast height and canopy height; AAIC shows the difference in
AIC between the top-ranked model and the model.

Model structure                        AIC    [DELTA]AIC   Deviance

Nest box height + Cavity density      101.7       0.0        29.5

Nest box height + Cavity density +    101.8       0.1        31.0

Nest box height + Cavity density +    103.6       1.9        31.1
PCI + Forest size

Nest box height + Cavity density +    103.7       2.0        31.1
PCI + No. of nest box

Nest box height + Cavity density +    103.7       2.0        30.3
Forest size + No. Of nest box

Null                                  137.0      35.3

Table 4. Result of generalised linear mixed model in the two top

Variable            Coefficient    SE    [chi-square]   P-value

1st model

  Nest box height      3.57       0.80      35.02       < 0.001
  Cavity density       -0.80      0.24       9.19        0.002

2nd model

  Nest box height      3.59       0.82      34.34       < 0.001
  Cavity density       -0.71      0.24       9.75        0.002
  PCI                  0.36       0.27       1.96        0.162
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Title Annotation:Short communication
Author:Suzuki, Kei; Yanagawa, Hisashi
Publication:Wildlife Biology
Article Type:Report
Geographic Code:9JAPA
Date:Jun 1, 2013
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