Bowman et al. .... Llewellyn & Jenkins 1987 ..... Bowman, J.C., Sleep, D., Forbes, G.J. & Edwards, M. (2000) The association of small mammals ..... McCleery, R.A., Lopez, R.R., Silvy, N.J., Frank, P.A. & Klett, S.B. (2006) Population status and.
IRENE L. GOROSITO, MARIANO MARZIALI BERMÚDEZ, RICHARD J. DOUGLASS, MARÍA BUSCH. Evaluation of statistical methods and sampling designs for the assessment of microhabitat selection based on point data APPENDIX A. Literature survey on small mammal microhabitat selection studied through the livetrapping technique.
We conducted a search for literature describing studies on microhabitat selection by small mammals which relied primarily on live trapping. We looked for articles containing microhabitat, habitat use, habitat selection, small mammal, live trapping, resource use or resource selection in either the abstract, title or keywords, using search engines in the following journals: Acta Oecologica; Acta Theriologica; Acta Zoologica Academiae Scientiarum Hungaricae; African Journal of Ecology; Agriculture, Ecosystems and Environment; The American Midland Naturalist; The American Naturalist, Austral Ecology (formerly the Australian Journal of Ecology); Biological Conservation; BMC Ecology; Caldasia; The Canadian Field-Naturalist; Canadian Journal of Zoology; Ecología Austral; Ecological Modelling; Ecological Research; Ecology; Folia Zoologica; Forest Ecology and Management; Journal of Animal Ecology; Journal of Arid Environments; Journal of Mammalogy; Journal of Natural History; Journal of Tropical Ecology; Journal of Vector Ecology; Journal of Wildlife Management; Journal of Zoology; Mammalia; Mammalian Biology; New Zealand Journal of Ecology; Oecologia; Oikos; Revista Chilena de Historia Natural; Revista Mexicana de Biodiversidad; Revue d'Écologie (La Terre et La Vie), The Southwestern Naturalist; Wildlife Research; and Zoologia (Curitiba).
1
We reviewed 152 articles on microhabitat selection based on live-trapping. We believe the sample of literature provided in Table A1 is a representative sample of the available literature on the subject. The following methodological details were looked up in each article considered: Reference: author and year of publication; TTE: total trapping effort, in trap nights; NS: number of surveys (primary occasions) conducted in each grid/transect; NG: number of grids/transects; NT: number of traps per grid/transect; NN: number of consecutive trapping nights per survey (secondary occasions); NV: number of microhabitat variables analyzed; Method: main statistical methods applied to detect microhabitat selection, classified into: descriptive (Desc), hypothesis testing (Hyp), canonical and unconstrained ordination methods (Ord), multiple regressions and generalized linear models (GLM), mixed-effect models (GLMM), occupancy models (OM), and other methods (Other). In some cases, some of the information was absent or not clearly stated and had to be deduced or estimated from the available data. The histogram in Figure A1 shows that the distribution of trapping effort found in the literature is asymmetric. For this reason, we considered the median (about 7000 tn) to be more representative of typical trapping efforts than the mean. It is also noteworthy that no trend in trapping effort along the years was found. Total trapping effort varied in a wide range, with median 7740 (Q25% = 3496, Q75% = 17660), and showed no trend along years (see inset in Figure A1). Most studies collected data during 3 (= mode) consecutive nights, with 47.6% of the studies trapping for at least 5 consecutive nights per session. Typical designs involved 2-12 (Q25%-Q75%)
2
trapping sessions and 2-12 (Q25%-Q75%) grids/transects. More summary statistics on sampling design are in Table A2. The use of methods varied in time (see Table A3). Overall, in 35.5% of the cases selection was assessed by simply comparing habitat variables among points with captures to those without captures by means of hypothesis tests (e.g.: t-tests, analyses of variance), in 23.7% by fitting regressions and generalized linear models (GLMs), and in 20.4% by ordination methods (e.g.: discriminant analysis, canonical correspondence analysis). In 13.2% of the cases, combinations of more than one of the methods were used. Methods based on detailed modelling, such as mixed-effect models (Zuur et al. 2009) and OMs (MacKenzie et al. 2006), were used in only 8 articles in our survey. Two papers were based only on descriptive statistics and a third one applied a method which did not fit other categories (Moran's eigenvector maps).
3
TABLE A1. Details of surveyed literature.
Reference
NS
NG
NT
NN
NV
Method
Adler 1995
3234
1
15
20-50
3
16
GLM
Adler, Mangan & Suntsov 1999
5225
1
8
10-150
10
21
Ord + GLM
Adler et al. 2012
19400
1
7
140-300
10
14
GLM
Albanese, Rodríguez & Ojeda 2011
27600
4-8
12
46
5
6
Hyp
Albanese & Ojeda 2012
27600
8
12-18
36
5
7
GLM
Ale et al. 2011
7200
6
2
25
3
16
Ord
Arnan et al. 2014
1600
4
6
25
2-3
8
GLMM
Baldwin et al. 2004
1600
na
3
64
na
16
GLM
Belk, Smith & Lawson 1988
13800
11
3
200
4-5
19
Ord + Hyp
Bellows et al. 2001
28616
16
33
30
3
8
Ord
Bennet 1993
8087
17
3
20-81
4
11
Hyp
Bertolino 2007
3000
5
1
100
6
23
GLM + Hyp
55189
na
20
20-100
4-10
>50
Ord + Hyp
3870
2
5-8
30-60
3-5
5
Hyp
40000
5-7
8
100
3-7
10
OM
2736
~ 19
1
48
3
17
Ord + Hyp
Bias & Morrison 2006 Bilenca & Kravetz 1998 Block, Russel & Ganey 2011 Bonaventura et al. 2003
4
TTE
Bos, Carthew & Lorimer 2002
7983
9
12
9
~8
5
GLM
Bowers 1986
12600
1
6
150
8-25
8
Hyp
Bowers & Brown 1992
63798
93
14
49
1
2
GLM
Bowers 1995
~ 5600
15
1
107
3-4
8
Ord + GLM
741
2
3
25
5
1
Hyp
Braithwaite & Gullan 1978
13200
7
1
120
4
5
Hyp
Bramley 2014
12600
15
8
35
3
10
Ord
Buesching et al. 2008
9900
11
3
100
3
1
Hyp
Busch et al. 2000
5400
4
6
225
3
40
GLM
Busch et al. 2001
16200
4
6
225
3
938
1
45
6-15
3-6
6
Hyp
Chandrasekar-Rao & Sunquist 1996
12581
8
3
100-120
5
8
Hyp + Ord
Cockburn & Lidicker 1983
23500
na
4
10
2-3
34
Ord
Coppeto et al. 2006
34176
6
18
100 - 172
4
18
Ord
9386
6-8
6
49
3-7
8
GLM
Cox et al. 2000
432
2
3
24
3
11
Hyp
Cueto et al. 1995
7056
24
1
98
3
4
Hyp
10437
12
4
49
3-4
9
GLMM
3420
1
6
20 - 96
3-7
6
GLMM
Bowman et al. 2000
Chambers & Dickman 2002
Corbalán & Debandi 2006
Cunningham et al. 2005 Cusack et al. 2015
5
11-16 Hyp + GLM
Dalmagro & Vieira 2005
5178
13
1
100
6
10
GLM
30000
25
2
200
3
7
Hyp
2240
4
2
40
7
14
Ord
Dooley & Bowers 1996
11376
8
1
474
3
9
Hyp
Doyle 1987
20160
4
8
70
9
30
Ord
Dueser & Shugart 1978
9696
6
9
49
2-4
29
Ord
Dueser & Hallett 1980
16822
9
na
na
na
8
GLM
Ellis et al. 1997
44060
11
6
144
3
13
GLM
5937
14
1
20-90
3-10
28
Ord
13392
12
1
186
6
21
Ord
Fischer & Schroder 2014
3840
2
36-60
20
2
3
GLMM
Gebresilassie et al. 2004
2940
3
4
49
5
1
Hyp
Geier & Best 1980
11504
1
28
40-150
4
12
GLM
Ghiselin 1970
21124
na
3
400-700
na
1
Hyp
Gómez et al. 2009
2880
4
4
20
8
6
GLM
Gómez-Villafañe et al. 2012
3663
4
6
50
3
6
GLM
250
1
1
50
5
11
Hyp
7260
2-4
2
100-160
7-14
11
Ord
19944
2-12
2
100-144
6
5
GLM
Dammhahn & Kappeler 2008 de Lima et al. 2010
Ernest & Mares 1986 Etheredge, Engstrom & Stone 1989
Gonnet & Ojeda 1998 González-M. & Alberico 1993 González et al. 2000
6
Goodin et al. 2009
40500
6-8
4
121-242
8
24
GLM
Green et al. 1998
13000
24
2
42 - 100
5
3
Hyp
Greenberg 2002
6424
3-4
11
28 - 48
4
11
Hyp
Hallett 1982
6600
~ 11
1
150
4
15
GLM
Hansen & Batzli 1978
13920
29
2
72 - 88
3
1
Hyp
Hansen & Batzli 1979
11760
20
4
49
3
1
Hyp
3172
4
3
28
9
>15
Hyp
159
24
49
2-3
1
Hyp
Harper et al. 2005 Heske et al. 1994 Hodara & Busch 2010
1440
4
1
120
3
23
GLM
Holbrook 1978
9600
6
2
200
3
4
Hyp
Holbrook 1979
18600
3
4-6
100
11 - 19
~ 10
Hyp
4680
14
1
60
3-5
1
GLM
17600
2
16
100
5 -6
27
GLM
5000
1
5
100
10
4
Hyp
69120
4
48
90
4
10
Ord
Kajin & Grelle 2012
5880
8
1
147
5
7
OM
Kaminski et al. 2007
13696
2-3
20
49
3
9
Hyp
2880
1
12
60
4
1
Hyp
10828
2
2
450 4215
2
1
Hyp
Jacob & Brown 2000 Johnston & Anthony 2008 Jorgensen et al. 1995 Jorgensen & Demarais 1999
Kaufman & Fleharty 1974 Kaufman et al. 1983
7
455700
Kearney et al. 2007
960
2
1
30
8
2
GLM
3576
na
2
~ 75-100
na
14
Hyp
39960
10
32
27
5
6
OM
9600
8
2
100
6
48000
1
30
200
7-9
14
GLM
Kirkland & Griffin 1974
2844
2
2
130-200
4-9
2
Hyp
Klein & Cameron 2012
8820
4
3
147
5
12
GLM
Kotler 1984
7000
35
2
100
1
5
Hyp
Kotler 1985
240
1
2
40
2-4
1
Hyp
Lacher & Alho 1989
3582
1
4
76
2-4
10
GLM
Lam & Maguire 2013
64000
1
36
63 - 64
28
6
GLMM
Lambert & Adler 2000
22960
1
75
75
10
14
GLM
Litvaitis 1990
~ 9000
4
4
49
8-15
17
Ord
Llewellyn & Jenkins 1987
17920
41
1
140
3-5
9
Ord + Hyp
Luque Larena et al. 2002
7200
12
4
25
3
19
Hyp
Maitz & Dickman 2001
1728
2-3
4
48
3-5
11
Hyp
26136
27
1
121
8
12
Hyp
McCleery et al. 2006
6000
1
60
25
4
12
Hyp
M'Closkey & Fieldwick 1975
1040
13
4
20
1
10
Ord
Keckel, Ansorge & Stefen 2013 Kellner & Swihart 2014 Kelt et al. 1994 Kennedy et al. 2012
Martin & Dickinson 1985
8
9 - 11 Ord
M'Closkey & Lajoie 1975
na
na
12
na
na
4
Hyp
M'Closkey 1976
na
16
1
152
na
11
Ord
M'Closkey 1978
2646
13-15
21
9
1
10
Ord
M'Closkey 1981
5400
3
1
75-100
2-5
5
Ord
Melo et al. (2013)
3920
7
10
7
8
1
Hyp + Ord
Meserve 1976
7800
13
1
120
4-6
3
Hyp
Meyer, Kelt & North 2007
1134
3
8
9
3-4
9
GLM
21276
11-17
3
72-81
6
71
Ord
Monamy 1995
6800
17
1
100
4
5
GLM
Monamy & Fox 1999
4800
12
1
100
4
9
Ord
Morris 1979
5104
~ 12
4
100-120
1
21
GLM
Morris 1984a
3240
12
2
135
1
14
Ord
Morris 1984b
na
3 - 12
16
na
1-2
18
Ord
Morris 1984c
6402
12
4
135
1
18
Ord
na
2
4
135
na
11
GLM
Morrison & Anthony 1989
1536
1
4
64
5-7
7
Ord
Mowat et al. 2015
2700
3
12
25
3
9
GLM
Murúa & Gonzalez 1982
76032
12
4
144
11
15
Ord
Myton 1974
20532
~ 40
1
100 - 118
3 - 60
1
Hyp
Miklós & Žiak 2002
Morris 1987
9
Naxara et al. 2009
2700
9
25
2
6
5
GLM
720
1
12
20
3
10
GLM
Norton 1987
5664
6
6
45-64
4
2
Hyp
Oguge 1995
14016
8
1
64-256
7-8
5
Hyp
Poindexter et al. 2012
24000
1
15
200
8
14
Ord
Poindexter et al. 2013
16000
2
5
200
8
14
GLM
Price 1978
9504
18
4
132
1
1
Hyp
Price, Waser & Bass 1984
2800
7
2
200
1
2
Hyp
Price & Waser 1985
8400
1
2
200
11
1
Hyp
14400
2
6
200
6
3
Hyp
Rebar & Conley 1983
2160
1
3
36
20
1
Hyp
Rocha et al. 2011
3000
5
2
50
6
5
Other
Rosenzweig & Winakur 1969
5475
1
26
50 - 75
3-4
~ 11
Desc
Rosenzweig 1973
4536
7
9
24
3
4
Hyp
Saetnan, Gjershaug & Batzli 2009
16200
6
15
36
5
1
Hyp
Schnell et al. 2008
16200
2
5
200
8-9
13
GLM
Schnell et al. 2010
40000
5
5
200
8-9
14
GLM
7680
1
2
49
6
30
Ord
11415
4
12
20-395
2
7
Ord
Noguerales et al. 2015
Püttker et al. 2008
Seagle 1985 Silva, Hartling & Opps 2005
10
Simone et al. 2010
11520
1
72
20
8
28
Ord
5117
2-3
2
50
14-42
2
Hyp
80397
6
6
200
12
26
GLM
4320
6
10
12
6
10
Ord
Stamp & Ohmart 1978
56520
3-4
~ 180
90
3
na
Desc
Stancampiano & Schnell 2004
24000
8
60
50
1
29
Ord
2640
2
4
30
11
26
Hyp
Stevens & Tello 2009
18786
1
31
202
3
102
Ord
Tabeni, Mastrantonio & Ojeda 2007
24000
8
24
25
5
7
GLM
Thompson 1982a
3456
6
2
288
1
1
Hyp
Thompson 1982b
4608
16
4
72
1
8
Hyp
Thompson 1987
3728
2
4
72
3
1
Hyp
Tomblin & Adler 1998
9664
4
18
50-100
4
18
Ord
Traba et al. 2010
2918
2
6
60
4
6
Hyp
~ 2600
1
3
100-200
3-10
158
Hyp
7128
6
22
6
2
23
Hyp
17820
11
4
81
5
2
Hyp
1956
10
8
12
3
21
Hyp+Ord+GLM
21546
24
2
96
6-8
3
Hyp
Simonetti 1989 Smith, Gende & Nichols 2004 Sponchiado, Melo & Cáceres 2012
Stephenson 1995
Trainor et al. 2000 Tulloch & Dickman 2006 Turner & Grant 1987 Vernes 2003 Vieira & Monteiro-Filho 2003
11
Vukicevic-Radic et al. 2006
12
37200
31
1
400
3
1
Hyp
Yahner 1982
3510
20
5
11-33
2
32
Hyp + Ord
Yahner 1986
2880
15
12
8
2
77
Ord + GLM
TABLE A2. Summary statistics of sampling design characteristics in surveyed literature.
Min.
Q25%
Median
Mean
Q75%
Max.
240
3496
7740
16500
17660
455700
NS
1
2
6
9.66
12
159
NG
1
2
4
10.61
12
180
NT
2
40
75
101.6
135
2332
NN
1
3
4
5.57
7
32
TTE
13
TABLE A3. Summary statistics of analysis methods applied in surveyed literature. Works using more than one method are counted multiple times, so fractions may add >100%.
Period
Hypothesis Ordination tests methods 5 1969-1974
Modelling methods GLM GLMM OM -
(83.3%) 1975-1979
1980-1984
1985-1989
1990-1994
1995-1999
2000-2004
2005-2009
2010-2015
Overall
14
Descriptive & Other 1 (16.7%)
8
4
1
(57.1%)
(28.6%)
(7.1%)
7
7
3
(43.8%)
(43.8%)
(18.8%)
11
8
3
(61.1%)
(44.4%)
(16.7%)
2
3
1
(33.3%)
(50.0%)
(16.7%)
9
7
5
(52.9%)
(41.2%)
(29.4%)
12
6
9
(54.5%)
(27.3%)
(40.9%)
12
6
(46.2%)
-
-
1 (7.1%)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
12
1
-
-
(23.1%)
(46.2%)
(3.8%)
5
7
10
4
3
1
(18.5%)
(25.9%)
(37.0%)
(14.8%)
(11.1%)
(3.7%)
46.7%
31.6%
28.9%
3.3%
2.0%
2.0%
FIGURE A1: Histogram showing the distribution of trapping effort in our literature sample (notice the log scale after the axis break). The inset (in semi-log scale) shows that there is no significant trend in trapping effort as a function of the year of publication; color lines are a linear fit (red) and the corresponding 95% confidence bands (green).
15
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