APPENDICES

 

APPENDIX A

Table A.1  Summary statistics for June/July aerial Dall’s sheep surveys in interior Alaska Military Operations Areas.

         

Total Counts

 

Per 100 Ewes

 

Rams

Survey Unit

Year

Total Sheep

Survey Time

 

Ewes

Lambs

Yearlings

Rams

 

Lambs

Yearlings

Rams

 

Legal Rams

Sublegal*

% Legal

Diamond Fork

1983

7

   

0

0

0

7

         

2

5

29

 

1990

19

1.70

 

2

2

0

15

 

100.00

0.00

750.00

 

6

9

40

 

1997

11

1.80

 

1

0

2

8

 

0.00

200.00

800.00

 

4

4

50

 

1998

37

2.00

 

11

5

5

16

 

45.45

45.45

145.45

 

6

10

38

 

1999

18

2.70

 

0

0

0

18

         

7

11

39

 

2000

NA

                           
 

2001

41

2.40

 

7

4

3

27

 

57.14

42.86

385.71

 

9

18

33

 

2002

55

2.50

 

22

5

6

22

 

22.73

27.27

100.00

 

7

15

32

                                 

Charley River

1997

39

1.40

 

25

11

3

0

 

44.00

12.00

0.00

 

0

0

0

 

1998

53

1.00

 

27

19

6

1

 

70.37

22.22

3.70

 

0

1

0

 

1999

52

2.08

 

25

16

10

1

 

64.00

40.00

4.00

 

0

1

0

 

2000

31

1.63

 

20

6

5

0

 

30.00

25.00

0.00

 

0

0

0

 

2001

31

2.55

 

17

9

5

0

 

52.94

29.41

0.00

 

0

0

0

 

2002

81

1.65

 

40

30

3

8

 

75.00

7.50

20.00

 

0

8

0

                                 

Cirque Lakes

1983

66

   

26

10

9

21

 

38.46

34.62

80.77

 

10

11

48

 

1984

27

4.80

 

16

4

8

1

 

25.00

50.00

6.25

 

0

1

0

 

1990

107

2.50

 

47

15

19

26

 

31.91

40.43

55.32

 

13

13

50

 

1993

58

2.50

 

38

9

1

10

 

23.68

2.63

26.32

 

0

10

0

 

1994

63

2.60

 

21

9

9

24

 

42.86

42.86

114.29

 

3

21

13

 

1995

76

3.20

 

27

9

11

29

 

33.33

40.74

107.41

 

7

22

24

 

1997

77

3.20

 

42

13

3

19

 

30.95

7.14

45.24

 

5

14

26

 

1998

62

2.10

 

18

9

3

32

 

50.00

16.67

177.78

 

7

25

22

 

1999

69

3.65

 

33

13

15

8

 

39.39

45.45

24.24

 

3

5

38

 

2000+

NA

                           
 

2001

52

3.38

 

16

4

5

23

 

25.00

31.25

143.75

 

5

18

22

 

2002

57

2.60

 

28

16

7

6

 

57.14

25.00

21.43

 

1

5

17

                                 
         

Total Counts

 

Per 100 Ewes

 

Rams

Survey Unit

Year

Total Sheep

Survey Time

 

Ewes

Lambs

Yearlings

Rams

 

Lambs

Yearlings

Rams

 

Legal Rams

Sublegal*

% Legal

Copper Mnt.

1983

13

   

1

2

1

9

 

200.00

100.00

900.00

 

0

9

0

 

1990

27

1.20

 

9

2

9

7

 

22.22

100.00

77.78

 

3

4

43

 

1997

25

0.80

 

9

5

3

8

 

55.56

33.33

88.89

 

4

4

50

 

1998

11

0.70

 

5

2

1

3

 

40.00

20.00

60.00

 

1

2

33

 

1999

10

1.43

 

4

0

0

6

 

0.00

0.00

150.00

 

2

4

33

 

2000

NA

                           
 

2001

14

1.42

 

6

2

2

4

 

33.33

33.33

66.67

 

2

2

50

 

2002

20

0.81

 

9

5

1

5

 

55.56

11.11

55.56

 

1

4

20

                                 

Glacier

1993

84

   

42

10

 

32

 

23.81

 

76.19

 

3

29

9

Mountain#

1998

97

   

54

20

 

23

 

37.04

 

42.59

 

6

17

26

 

1999

76

   

40

15

 

21

 

37.50

 

52.50

 

4

16

19

 

2000

100

   

61

6

 

33

 

9.84

 

54.10

 

6

27

18

                                 

Mount 5580

1997

24

0.50

 

10

6

5

3

 

60.00

50.00

30.00

 

0

3

0

 

1998

35

0.40

 

17

11

3

4

 

64.71

17.65

23.53

 

0

4

0

 

1999

20

0.52

 

10

5

5

0

 

50.00

50.00

0.00

 

0

0

0

 

2000

27

0.47

 

12

4

7

4

 

33.33

58.33

33.33

 

1

3

25

 

2001

32

0.52

 

13

6

5

8

 

46.15

38.46

61.54

 

2

6

25

 

2002

29

0.50

 

17

4

4

4

 

23.53

23.53

23.53

 

3

1

75

                                 

Mount Harper#

1982

87

   

39

8

 

40

 

20.51

0.00

102.56

 

18

22

45

 

1993

60

   

30

4

 

26

 

13.33

0.00

86.67

 

11

15

42

 

1997

83

   

40

9

5

29

 

22.50

12.50

72.50

 

13

16

45

 

2000

69

   

25

9

9

26

 

36.00

36.00

104.00

 

7

19

27

                                 
                                 
                                 
                                 
                                 
                                 
         

Total Counts

 

Per 100 Ewes

 

Rams

Survey Unit

Year

Total Sheep

Survey Time

 

Ewes

Lambs

Yearlings

Rams

 

Lambs

Yearlings

Rams

 

Legal Rams

Sublegal*

% Legal

Mount

1983

31

   

9

2

0

20

 

22.22

0.00

222.22

 

5

15

25

Sorenson

1984

32

2.70

 

15

8

2

6

 

53.33

13.33

40.00

 

1

5

17

 

1987

35

   

14

9

2

10

 

64.29

14.29

71.43

 

1

9

10

 

1990

58

1.90

 

18

12

7

21

 

66.67

38.89

116.67

 

2

19

10

 

1993

16

1.40

 

0

0

0

16

         

5

11

31

 

1994

48

1.50

 

17

6

0

25

 

35.29

0.00

147.06

 

6

19

24

 

1995

57

1.30

 

20

17

6

15

 

85.00

30.00

75.00

 

5

10

33

 

1997

79

1.10

 

46

17

15

1

 

36.96

32.61

2.17

 

1

0

100

 

1998

35

1.00

 

15

7

2

11

 

46.67

13.33

73.33

 

7

4

64

 

1999

98

1.33

 

55

21

9

13

 

38.18

16.36

23.64

 

6

7

46

 

2000

NA

                           
 

2001

97

1.37

 

59

15

19

4

 

25.42

32.20

6.78

 

2

2

50

 

2002

71

1.10

 

35

18

9

9

 

51.43

25.71

25.71

 

1

8

11

                                 

Twin Mountain

1983

35

   

12

10

3

11

 

83.33

25.00

91.67

 

1

10

9

 

1990

48

1.50

 

15

13

4

16

 

86.67

26.67

106.67

 

0

16

0

 

1997

54

1.20

 

23

11

4

16

 

47.83

17.39

69.57

 

4

12

25

 

1998

49

0.80

 

23

10

6

10

 

43.48

26.09

43.48

 

3

7

30

 

1999

62

0.53

 

22

10

6

24

 

45.45

27.27

109.09

 

6

18

25

 

2000

62

1.03

 

22

8

4

28

 

36.36

18.18

127.27

 

6

22

21

 

2001

27

0.68

 

3

3

0

21

 

100.00

0.00

700.00

 

7

14

33

 

2002

17

0.63

 

3

2

0

12

 

66.67

0.00

400.00

 

5

7

42

                                 

Puzzle gulch/

1999

140

3.00

 

63

34

16

27

 

53.97

25.40

42.86

 

6

8

22

West point

2000#

179

   

82

16

32

49

 

19.51

39.02

59.76

 

19

30

39

 

2001

131

2.97

 

67

22

9

33

 

32.84

13.43

49.25

 

9

24

27

 

2002

118

2.85

 

62

21

9

26

 

33.87

14.52

41.94

 

6

20

23

* “Sublegal” rams includes all rams with horns smaller than full curl.

+  A sheep survey was not completed at Cirque Lake during 2000.

# Surveys conducted by the Alaska Department of Fish and Game (Craig Gardner, Alaska Department of Fish and Game, personal communication).


APPENDIX B. 

Table B.1  Physical measurements of Dall’s sheep captured for radiocollaring in interior Alaska during March of 1999, 2000, 2001 and 2002.  Dall’s sheep were captured at 2 general locations, Cirque Lake and West Point/Puzzle Gulch.  Cirque Lake has mitigation measures intended to minimize the impacts of low-level military jet aircraft on Dall’s sheep and West Point/Puzzle Gulch does not.     

         

Right

Left

             

Sheep No.

Capt. Date

Wgt. (kg)

Loc.1

Body Con. Score2

Horn length3*

Horn length3*

Right Annuli

Left Annuli

Meta-tarsal*

Body*

Chest Girth*

Neck Circ. *

Tooth wear

 

1999

                       

99-161

03/20

47.6

CL

 

25.5

25

 

5

30.5

150

95

44

Light to mod.

99-162

03/20

54.4

CL

 

18

25

5

6

29

 

102

41

Light 

99-163

03/21

65.8

CL

 

27.5

30

6

6

29

 

100

42

Light to mod.

99-164

03/21

52.2

CL

 

Brok.

28

 

6

28

 

96.5

37

 

99-165

03/21

47.6

CL

 

18

18

6

5

27

 

96

37.5

Light

99-166

03/21

45.4

CL

 

20

25

7

7

28.5

 

98

37

Light

99-167

03/22

56.7

WP

 

18

18

4

4

28.5

 

103

39

Light to mod.

99-168

03/22

63.5

WP

 

32

33

9

7

29.5

 

104

44.5

Mod. To heavy

99-169

03/21

43.1

CL

 

27

28

7

7

27

 

92

38

Mod.

99-170

03/22

63.5

WP

 

24

26

6

7

28.5

 

102

42.5

Mod. To heavy

99-171

03/19

61.2

WP

 

31

31

8

 

29

151

108

46

Mod. 

99-172

03/23

65.8

WP

 

24.5

21.5

5

5

28

 

102

40

Light

99-173

03/22

65.8

WP

 

36

35

8

8

28.3

 

108

46

Mod. To heavy

99-174

03/19

61.2

WP

 

27.5

26.5

6

6

27.5

157

104

45.5

Mod.

99-175

03/21

59.0

CL

 

21

Brok.

6

 

28.5

 

100

38

Light

99-176

03/21

49.9

CL

 

20

21

5

5

28

 

98

40

Light

99-177

03/21

49.9

WP

 

27

27

5

5

28

 

104

38.5

Light to mod.

99-178

03/22

65.8

WP

 

28

30.5

8

8

28.3

   

47

Mod. To heavy

99-179

03/21

62.1

WP

 

26.5

26

6

6

28.2

 

109

48

Mod.

99-180

03/20

54.4

CL

 

29

21

7

7

28.5

 

100

40

Light

 

2000

                       

00-161

03/16

59.0

WP

R2.5/B3/P2

31

33

7

7

28

151

110

39

Light

00-162

03/16

61.2

WP

R2.5/B2/P2

24

25

7

8

28

145

104

40

Heavy

00-163

03/16

47.6

WP

R3.5/B3.5/P2.5

22

20.5

5

5

29

147

96

43

Light 

00-164

03/16

61.2

WP

R2/B2/P2

26

24

8

8

29

152

108

39

Light 

00-165

03/16

65.8

WP

R3/B3/P2.5

30

28.5

8

8

30

154

127

42

Light 

00-166

03/16

63.5

WP

R3.5/B3.5/P2.5

29

31

9

8

30

168

109

39

Heavy

         

Right

Left

             

Sheep No.

Capt. Date

Wgt. (kg)

Loc.1

Body Con. Score2

Horn length3*

Horn length3*

Right Annuli

Left Annuli

Meta-tarsal*

Body*

Chest Girth*

Neck Circ. *

Tooth wear

00-167

03/16

 

WP

R3/B2.5/P2

24

26

5

6

29

153

103

41

Light  

00-168

03/16

52.2

WP

R3/B3/P2.5

25

29.5

6

5

29

151

113

43

Light 

00-169

03/16

49.9

WP

R2.5/B2.5/P2

19.5

22

4

4

30

148

106

41

Light   

00-170

03/16

61.2

WP

R3/B3/P2.5

24.5

23

4

4

29

145

107

42.5

Mod.

00-171

03/15

54.4

CL

R3/B3/P2.5

18.5

21

6

6

30

158

101

37

Heavy

00-172

03/15

49.9

CL

R2/B2/P2

28

31

9

9

30

 

109

41

Heavy

00-173

03/17

36.3

CL

R3.5/B3.5/P2.5

16

15

2

1

29

141

100

38

Light   

00-174

03/15

54.4

CL

R2.5/B2/P2

30

22.5

9

7

29

152

104

40

Mod.

00-175

03/14

49.9

CL

R2/B2/P2

22

29

9

8

29

 

104

39

Light

00-176

03/15

56.7

CL

R3.5/B3.5/P3

34

33.5

9

9

29

149

102

43

Light 

00-177

03/15

43.1

CL

R2.5/B2/P2

24

24

6

5

30

149

101

43

Mod.

00-178

03/14

49.9

CL

R2.5/B3/P2

25

22.5

4

4

28

 

100

40.5

Mod.

00-179

03/15

52.2

CL

R2.5/B2/P2

10.5

28

Brok.

7/broo

30

154

105

39

Heavy

00-180

03/14

52.2

CL

 

23

22

5

5

30

 

102

36

Light

 

2001

                       

01-161

03/03

54.4

WP

R3/B3/P3

21.5

23.5

6

7

28.5

147

101

40

Light to mod.

01-162

03/03

 

WP

R3.5/B3/P3

23.5

25

6

6

28

148

99

38

Mod.

01-163

03/03

54.4

WP

R3/B3/P2.5

22

28

7

7

28

157

103

41

Light

01-164

03/02

49.9

CL

R2.5/B2/P2

25

22.5

7

6

27

144

103.5

35

Mod.

01-165

03/03

61.2

WP

R2.5/B2.5/P2

30

27

7

6

29

152

110

36

Mod.

01-166

03/02

56.7

CL

R3/B2.5/P2.5

31

29

7

7

28

140

105

40

Light to mod.

01-167

03/02

47.6

CL

R2.5/B3/P2

25

24

5

6

31

150

109

42

Light

01-168

03/03

59.0

WP

R3.5/B3.5/P3

29

30.5

7

6

29

147

105

42

Mod.

01-169

03/03

45.8

WP

R2.5/B3/P2.5

21

19.5

   

28

153

98

38

Light to mod.

01-170

03/03

54.4

WP

R2.5/B2.5/P2.5

32.5

32

9

9

28

145

111

37

Mod.

01-171

03/06

 

SB

R2.5/B2.5/P2.5

10.5

16

Brok.

3

26.5

151

96

38

Light 

01-172

03/03

59.0

WP

R3.5/B3/P2.5

27

26

7

6

29

159

112

39

Mod.

01-173

03/02

52.2

WP

R2.5/B2/P2

28

28

6

6

27.5

153

106

42

Heavy

01-175

03/04

 

CL

R3.5/B3.5/P3

26.5

25

7

6

27

135

108

42

Mod.

01-176

03/06

57.2

SB

R3/B2.5/P2.5

27

23

7

7

 

153

107

42

Light

01-177

03/04

 

CL

R3.5/B3.5/P3

25.5

25

5

6

26.5

150

105

44

Mod.

01-178

03/02

52.2

WP

R3/B2.5/P2.5

23

22

5

5

28

149

103

36.5

Mod.

01-179

03/04

59.0

CL

R3/B3.5/P3

31

Brok.

6

Brok.

28

142

110

44

Mod. to heavy

01-180

03/04

61.2

CL

R3.5/B3.5/P3

21

25

6

6

29

154

112

43

Heavy

         

Right

Left

             

Sheep No.

Capt. Date

Wgt. (kg)

Loc.1

Body Con. Score2

Horn length3*

Horn length3*

Right Annuli

Left Annuli

Meta-tarsal*

Body*

Chest Girth*

Neck Circ. *

Tooth wear

 

2002

                       

02_161

03/14

61.2

CL

R2/B2.5/P2

25.5

25

9

9

27

158

107

37

Light

02_162

03/14

61.2

CL

R3/B3/P3

26

27

4

4

29

153

111

42

Mod.

02_163

03/14

54.4

WP

R3.5/B3/P3

21

23

3

3

27.5

149

108

40

Light

02_164

03/13

65.8

CL

R3/B2.5/P2.5

24

25

7

8

28.5

161

112

44

Mod.

02_165

03/13

56.7

WP

R2.5/B2.5/P2

26

25

8

7

27.5

165

107

44.5

Light 

02_166

03/14

47.6

CL

R2/B2.5/P2

21

23

7

7

26.5

147

102.5

39

Mod.

02_167

03/14

59.0

WP

R3/B3/P3

20

22

6

6

28

160

105

43

Light 

02_168

03/14

65.8

CL

R3/B3/P2.5

23

24

7

7

30

147

113

39

Mod.

02_169

03/13

56.7

WP

R3/B2.5/P2.5

27.5

26

5

6

28.5

155

112

43

Mod.

02_170

03/14

59.0

CL

R3/B3/P3

27.2

28

9

8

29

157

109

35

Mod.

02_171

03/13

59.0

WP

R3/B3/P2.5

27

24

9

9

27.5

153

113

44

Mod.

02_172

03/13

56.7

WP

R2.5/B2.5/P2

22

23

7

7

28

159

110.5

45

Mod.

02_173

03/12

49.9

CL

R2/B2.5/P2.5

24

24

8

8

27

 

103.5

36.5

Light

02_174

03/12

54.4

CL

R3/B3/P3

25

23

6

5

28

129

103

35

Mod.

02_175

03/14

56.7

CL

R2.5/B2/P2

32

Brok.

6

Brok.

27

155

107

41.4

Mod.

02_176

03/13

65.8

WP

R3/B3/P3

29.5

28.5

10

10

30

157

114

36

Mod.

02_177

03/13

54.4

WP

R3/B3.5/P3

25

26

7

8

28

150

110

38.5

Light

02_178

03/14

65.8

CL

R3/B3/P2.5

29.5

30

10

10

28.5

162

112

47

Heavy

02_179

03/13

47.6

WP

R3/B3/P3

21

21

6

6

26.5

152

102

42.5

Light

02_180

03/12

 

CL

R2.5/B2/P2.5

26

25.5

8

6

27.5

156

106

43

Light

1  CL = Cirque Lake, WP = West Point/Puzzle Gulch,  SB = Sheep bluff, a known sheep area in close proximity to Cirque Lake.

2  Body condition scores were determined by palpating animals at: 1) Ribs (R); 2) Back/withers (B); and 3) hip-pin (P) or rump.  Scores were a subjective rating from 1 to 5 (1 = emaciated, 5 = obese).

3  Brok. = Horn broken, Broo = horn broomed on tip.

*  Length, girth and circumference were measured in cm.


APPENDIX C. 

Table C.1.  Incidental mammal and bird species observed (or tracks observed) while watching Dall’s sheep (Ovis dalli) in February, March, April and May of 2000, and during March, May June and July of 2001.  

 

                                 MOA SHEEP PROJECT 2000

 
       
 

Animals/Tracks Observed

Cirque Lakes

West Point

 

Mammals

   
 

Caribou (Rangifer tarandus)

 

Feb, May

 

Dall’s sheep (Ovis dalli)

Feb, April, May, July

Feb, April, May, July

 

Fox (Vulpes vulpes)

Feb

Feb, May

 

Grizzly Bear (Ursus arctos)

May

May

 

Hoary Marmot (Marmota caligata)

May, July

May

 

Marten (Martes americana)

Feb

 
 

Moose (Alces alces)

 

May

 

Otter (Lontra Canadensis)

Feb

 
 

Pika (Ochotona collaris)

Feb, April, May, July

Feb, May

 

Red Squirrel (Tamiasciurus hudsonicus)

Feb, April

 
 

Ermine (Mustela erminea)

May

 
 

Snowshoe Hare (Lepus americanus)

 

Feb, May

 

Wolf (Canis lupus)

Feb

Feb, April

 

Wolverine (Gulo gulo)

Feb, April

Feb, April, May

       
 

Birds

   
 

American Robin

May

May

 

American tree-sparrow

May, July

May

 

Boreal Chickadee

Feb

May

 

Common Raven

April, May, July

 
 

Common Red polls

May, July

May

 

Common Snipe

May

May

 

Evening Grosbeak

 

May

 

Fox Sparrow

May

May

 

Golden Eagle

 

May

 

Gray -headed junco

 

May

 

Gray Jay

April

May

 

Gray-cheeked thrush

 

May

 

Gray-crowned rosey finch

May, July

May

 

Gyrfalcon

Feb., April, May

Feb, May

 

Hermit Thrush

May

 
 

Horned Lark

July

 
 

Lapland Longspur

May, July

 
 

Long-tailed duck

July

 
 

Northern harrier

May

May

 

Northern Shrike

 

May

 

Northern Wheatear

July

May

 

Osprey

July

 
 

Animals/Tracks Observed

Cirque Lakes

West Point

 

Birds

   
 

Rock Ptarmigan

Feb., April

Feb, May

 

Ruby-Crowned kinglet

 

May

 

Savannah Sparrow

May

 
 

Say's phoebe

 

May

 

Scaup sps.

July

 
 

Scoter sps.

July

 
 

Townsend Solitaire

May

May

 

Upland Sandpiper

May

 
 

Varied thrush

 

May

 

Water pipit

May, July

May

 

White winged crossbill

April

 
 

White-crowned Sparrow

May, July

May

 

White-winged scoter

July

 
 

Willow Ptarmigan

Feb., April

 
 

Yellow-rumped warbler

 

May

 

 

                                 MOA SHEEP PROJECT 2001

 
       
 

Animals/Tracks Observed

Cirque Lakes

West Point

 

Mammals

   
 

Black Bear (Ursus americanus)

 

May

 

Caribou (Rangifer tarandus)

May

July

 

Dall’s sheep (Ovis dalli)

March, May, June, July

March, May, June, July

 

Fox (Vulpes vulpes)

 

March

 

Grizzly Bear (Ursus arctos)

May, June

May

 

Hoary Marmot (Marmota caligata)

May

 
 

Lynx (Lynx canadensis)

 

May

 

Moose (Alces alces)

 

March

 

Pika (Ochotona collaris)

May

March

 

Red -backed vole (Clethrionomys rutilus)

May

 
 

Ermine (Mustela erminea)

May

 
 

Wolf (Canis lupus)

May

 
 

Wolverine (Gulo gulo)

March, May, June, July

March, May, June, July

       
 

Birds

   
 

American Robin

May

 
 

American tree-sparrow

May

 
 

Bohemian Wax-wing

May

 
 

Bonaparte's Gull

July

 
 

Boreal Chickadee

 

March

 

Boreal Owl

May

 
 

Common Raven

May

March

 

Animals/Tracks Observed

Cirque Lakes

West Point

 

Birds

   
 

Common Red polls

May

March

 

Flicker

May

 
 

Fox Sparrow

May

 
 

Golden Eagle

May

May

 

Goshawk

 

March

 

Gray -headed junco

May

 
 

Gray Jay

May

March

 

Gray-crowned rosey finch

May

 
 

Gyrfalcon

May

 
 

Horned Lark

May

 
 

Lapland Longspur

May

 
 

Long-tailed duck

July

 
 

Merlin

May

 
 

Northern harrier

May

 
 

Red-necked phalarope

July

 
 

Rock Ptarmigan

May

March

 

Rough-legged hawk

May

 
 

Ruby-Crowned kinglet

May

 
 

Say's phoebe

May

 
 

Scaup sps.

July

 
 

Scoter sps.

July

 
 

Townsend Solitaire

May

 
 

Water pipit

May

 
 

White-crowned Sparrow

May

 
 

White-winged scoter

July

 
 

Yellow-rumped warbler

May

 


APPENDIX D. 

Results from microhistological (Tables D.1-D.4) and nitrogen analysis (D.5) of sheep pellets in 2 study areas in the Yukon-Tanana Uplands, Alaska.  Microhistological analysis was conducted by the Wildlife Habitat Nutrition Laboratory, University of Washington, Pullman, WA.  Proportion of plant composition of fecal pellets was determined at a plant species level using 4 slides per sample and by looking at 25 views per slide.  Nitrogen content of fecal pellets was determined by the the Chemical Nutrition Laboratory, University of Alaska, Fairbanks, Alaska.  Nitrogen content was determined by combustion in a LECO auto-analyzer.

Table D.1.  Percent occurrence of plant species and parts in microhistological samples of fecal pellets from Dall's sheep, by study area and month in the Yukon-Tanana Uplands, Alaska, 2000.

 

Cirque Lake

 

West Point

Plants

Feb.

April

May

July

 

Feb.

April

May

July

Betula stem

             

0.8

 

Dryas leaf

1.9

0.7

2.4

   

1.0

2.4

4.1

1.1

Dryas stem

   

2.0

   

0.3

1.2

0.6

0.5

Ledum

 

0.5

 

0.2

 

0.5

 

0.3

 

Populus leaf

               

1.1

Rhododendron

           

1.9

1.9

 

Rosa leaf

 

0.5

             

Rosa stem

             

0.5

 

Rubus discolor

 

0.1

             

Salix leaf/hair

   

0.4

     

0.5

1.1

3.2

Salix stem

0.8

1.4

1.2

0.4

 

0.8

1.4

2.5

0.3

Vaccinium leaf

   

1.4

   

0.8

   

0.8

Vaccinium stem

   

0.8

           

Total Shrubs

2.7

3.2

8.2

0.6

 

3.4

7.4

11.8

7.0

                   

Agropyron

1.3

1.1

3.2

0.6

 

0.8

2.4

1.6

1.1

Arctogrostis

     

1.6

         

Calamagrostis purpurascens

1.6

4.1

2.2

0.8

 

2.8

0.7

1.1

2.7

Festuca altaica

11.0

14.5

8.0

7.3

 

16.8

9.2

18.6

5.9

Hierochloe alpina

1.9

3.7

1.6

0.4

   

1.7

1.6

0.3

Poa spp.

9.4

7.8

6.2

6.7

 

7.6

8.4

11.5

4.9

Other Grasses

 

0.5

3.2

2.4

 

1.5

3.6

1.9

 

Total Grasses

25.2

31.7

24.4

19.8

 

29.5

26.0

36.3

14.9

                   

Carex bigelowii

5.4

5.3

2.2

25.8

 

1.0

3.1

4.7

23.2

Carex microchaeta

0.3

1.1

             

Carex spp.

8.9

7.1

2.0

14.3

 

1.3

3.9

2.2

12.7

Eriophorum

   

1.0

           

Juncus/Luzula

1.6

 

0.4

24.2

 

0.5

1.0

1.1

22.9

Total Sedge/Rush

16.2

13.5

5.6

64.3

 

2.8

8.0

8.0

58.8

                   

Arabis hirsuta

 

0.5

0.3

0.2

         

Artemisia spp.

     

0.4

         
                   
 

Cirque Lake

 

West Point

Plants

Feb.

April

May

July

 

Feb.

April

May

July

Astragalus

           

1.2

0.6

 

Equisetum

0.5

               

Lupinus/Lotus

           

1.7

0.3

2.7

Silene menziesii

   

4.2

   

0.5

 

0.6

 

Other Forbs

0.3

0.5

0.2

1.4

   

1.7

0.3

 

Total Forbs

0.8

1.0

4.7

2.0

 

0.5

4.6

1.8

2.7

                   

Alectoria/Bryoria

1.9

 

1.0

0.8

 

1.3

   

0.5

Cetraria/Dactylina

3.5

3.0

11.5

0.4

 

1.5

5.6

5.5

1.6

Cladina/Cladonia

4.9

5.5

12.5

3.0

 

7.9

3.9

6.0

0.5

Peltigera

9.2

6.2

4.8

2.8

 

5.6

7.0

3.8

9.4

Other Lichen

   

1.0

           

Total Lichen

19.5

14.7

30.8

7.0

 

16.3

16.5

15.3

12.0

                   

Aulacomnium

7.0

5.3

3.4

0.6

 

3.1

1.2

4.4

1.9

Classic Moss*

22.9

26.5

21.3

5.5

 

44.1

35.3

21.6

2.7

Polytrichum

5.7

3.9

1.6

   

0.3

1.0

0.8

 

Sphagnum

 

0.2

 

0.2

         

Total Mosses

35.6

35.9

26.3

6.3

 

47.5

37.5

26.8

4.6

TOTAL

100.0

100.0

100.0

100.0

 

100.0

100.0

100.0

100.0

* Classic moss includes Dicranum, Bryum, Hypnum, Pohlia and several other mosses that are difficult to differentiate in microhistological samples.

Table D.2.  Percent occurrence of plant species and parts in microhistological samples of fecal pellets from Dall's sheep, by study area and month in the Yukon-Tanana Uplands, Alaska, 2001.

 

Cirque Lake

 

West Point

Plants:

March

May

June

July

 

March

June

July

Arctostaphylos alpina stem

               

Artemisia spp.

   

0.5

       

0.1

Betula nana stem

 

0.9

           

Dryas octopetala leaf

 

0.3

3.7

0.1

 

0.4

5.4

1.4

Dryas octopetala stem

1.1

1.0

       

0.7

 

Empetrum nigrum leaf

 

0.9

1.4

         

Ledum palustre leaf

0.9

0.7

0.5

0.2

 

0.2

   

Rhododendron lapponicum leaf

         

0.6

0.7

 

Rosa acicularis stem

         

0.6

0.5

 

Salix spp. leaf

   

3.3

0.5

 

0.6

2.0

2.4

Salix spp. leaf/catkin

   

0.5

         

Salix spp. stem

2.4

2.3

1.4

   

1.1

1.8

0.2

Vaccinium spp. leaf

     

1.4

       

Vaccinium spp. stem

0.6

 

0.7

         

Shrub leaf

   

0.2

       

0.6

Shrub stem

     

0.1

 

0.4

1.0

0.7

Total Shrubs

5.0

6.1

12.2

2.3

 

3.9

12.1

5.4

                 

Agropyron spicatum

0.4

1.0

1.0

1.1

 

2.6

1.8

1.1

Calamagrostis purpurascens

1.9

3.3

6.1

2.7

 

5.5

10.5

7.1

Festuca altaica

10.0

8.4

17.3

10.1

 

26.6

16.0

27.2

Hierochloe alpina

 

2.6

1.6

1.1

 

1.5

4.3

0.2

Poa spp.

8.6

7.1

14.7

6.6

 

14.7

8.5

11.0

Unkown Grasses

0.2

1.6

3.7

1.6

 

2.6

4.5

1.6

Total Grasses

21.1

24.0

44.4

23.2

 

53.5

45.6

48.2

                 

Carex bigelowii

7.7

1.9

7.0

19.9

 

3.4

4.0

4.8

Carex spp.

18.8

9.4

21.9

28.9

 

5.3

8.0

15.5

Eriophorum spp.

         

0.6

   

Luzula/Juncus

4.9

5.6

3.3

11.5

 

5.3

3.8

9.1

Total Sedges/Rushes

31.4

16.9

32.2

60.3

 

14.6

15.8

29.4

                 

Antennaria friesiana

   

3.8

0.1

       

Arabis hirsuta

   

0.2

         

Astragalus/Oxytropis

     

0.2

 

0.1

0.5

0.9

Equisetum spp.

           

0.5

0.4

Lupinus spp.

 

0.4

 

0.4

 

0.4

0.2

1.5

Polygonum spp.

           

1.0

 

Potentilla spp.

   

0.5

       

1.5

Saxifraga spp.

0.6

1.0

       

0.2

 

Silene menziesii

 

0.4

           

Unknown Forbs

0.4

0.7

1.6

0.1

 

0.8

 

2.0

Total Forbs

1.0

2.5

6.1

0.8

 

1.3

2.4

6.3

 

Cirque Lake

 

West Point

Plants:

March

May

June

July

 

March

June

July

Alectoria/Bryoria/Usnea

1.7

1.6

0.9

1.4

 

1.3

3.0

0.9

Cetraria/Dactilina

2.1

5.4

0.9

2.5

 

2.1

5.3

2.0

Cladonia/Cladina

6.4

11.2

2.4

3.0

 

4.9

2.3

0.7

Foliose Lichen (Peltigera type)

7.3

4.0

 

2.2

 

4.7

1.2

5.1

Total Lichen

17.5

22.2

4.2

9.1

 

13.0

11.8

8.7

                 

Aulacomium moss

0.2

1.0

 

1.3

 

1.5

   

Classic moss

11.8

9.1

 

3.0

 

9.4

8.0

2.0

Dicranum moss

6.8

13.4

0.2

   

2.6

2.3

 

Polytrichum moss

3.9

3.5

     

0.2

2.0

 

Selaginella sibirica

   

0.7

         

Sphagnum spp. moss

1.3

1.0

           

Unknown Moss

 

0.3

           

Total Mosses

24.0

28.3

0.9

4.3

 

13.7

12.3

2.0

TOTAL

100.00

100.00

100.00

100.00

 

100.00

100.00

100.00

* Classic moss includes Dicranum, Bryum, Hypnum, Pohlia and several other mosses that are difficult to differentiate in microhistological samples.

Table D.3.  Percent occurrence of plant species and parts in microhistological samples of fecal pellets from Dall's sheep, by study area and month in the Yukon-Tanana Uplands, Alaska, 2002.

 

Cirque Lake

 

West Point

Plants:

March

 

March

Arctostaphylos alpina stem

   

1.4

Artemisia spp.

1.3

   

Betula nana stem

     

Dryas octopetala leaf

0.2

 

0.6

Dryas octopetala stem

     

Empetrum nigrum leaf

     

Ledum palustre leaf

   

1.4

Rhododendron lapponicum leaf

   

0.8

Rosa acicularis stem

0.8

   

Salix spp. leaf

   

1.1

Salix spp. leaf/catkin

     

Salix spp. stem

0.8

 

0.3

Vaccinium spp. leaf

     

Vaccinium spp. stem

     

Shrub leaf

   

0.5

Shrub stem

     

Total Shrubs

3.1

 

6.1

       

Agropyron spicatum

2.3

 

1.4

Calamagrostis purpurascens

4.0

 

3.3

Festuca altaica

14.6

 

19.7

Hierochloe alpina

0.5

 

0.6

Poa spp.

6.8

 

3.6

Unkown Grasses

2.3

 

2.5

Total Grasses

30.5

 

31.1

       

Carex bigelowii

2.8

 

3.0

Carex spp.

8.3

 

5.0

Eriophorum spp.

     

Luzula/Juncus

7.3

 

4.4

Total Sedges/Rushes

18.4

 

12.4

       

Antennaria friesiana

     

Arabis hirsuta

     

Astragalus/Oxytropis

0.2

 

0.3

Equisetum spp.

     

Lupinus spp.

1.5

   

Polygonum spp.

     

Potentilla spp.

   

0.6

Saxifraga spp.

   

0.3

Silene menziesii

     

Unknown Forbs

0.8

 

0.6

Total Forbs

2.5

 

1.8

       
 

Cirque Lake

 

West Point

Plants:

March

 

March

Alectoria/Bryoria/Usnea

2.5

 

3.6

Cetraria/Dactilina

4.0

 

1.7

Cladonia/Cladina

3.5

 

3.6

Foliose Lichen (Peltigera type)

5.0

 

5.8

Total Lichen

15.0

 

14.7

       

Aulacomium moss

0.8

 

0.6

Classic moss

17.1

 

30.8

Dicranum moss

6.3

 

1.4

Polytrichum moss

5.0

 

1.1

Selaginella sibirica

     

Sphagnum spp. moss

     

Unknown Moss

1.3

   

Total Mosses

30.5

 

33.9

TOTAL

100.00

 

100.00

* Classic moss includes Dicranum, Bryum, Hypnum, Pohlia and several other mosses that are difficult to differentiate in microhistological samples.

Table D.4.  Summary of percent occurrence by forage group in microhistological samples of fecal pellets from Dall's sheep, by study area, month and year in the Yukon-Tanana Uplands, Alaska.

Forage

 

Cirque Lakes

 

West Point

Group

 

February

March

April

May

June

July

 

February

March

April

May

June

July

 Shrubs

 

2.7

 

3.2

8.2

 

0.6

 

3.4

 

7.4

11.8

 

7.0

 Grasses

 

25.2

 

31.7

24.4

 

19.8

 

29.5

 

26.0

36.3

 

14.9

Sedges/Rushes

16.2

 

13.5

5.6

 

64.3

 

2.8

 

8.0

8.0

 

58.8

 Forbs

 

0.8

 

1.0

4.7

 

2.0

 

0.5

 

4.6

1.8

 

2.7

 Lichens

 

19.5

 

14.7

30.8

 

7.0

 

16.3

 

16.5

15.3

 

12.0

 Mosses

 

35.6

 

35.9

26.3

 

6.3

 

47.5

 

37.5

26.8

 

4.6

                             

 Shrubs

   

5.0

 

6.1

12.2

2.3

   

3.9

   

12.1

5.4

 Grasses

   

21.1

 

24.0

44.4

23.2

   

53.5

   

45.6

48.2

Sedges/Rushes

31.4

 

16.9

32.2

60.3

   

14.6

   

15.8

29.4

 Forbs

   

1.0

 

2.5

6.1

0.8

   

1.3

   

2.4

6.3

 Lichens

   

17.5

 

22.2

4.2

9.1

   

13.0

   

11.8

8.7

 Moss

   

24.0

 

28.3

0.9

4.3

   

13.7

   

12.3

2.0

                             

 Shrubs

   

3.1

           

6.1

       

 Grasses

   

30.5

           

31.1

       

Sedges/Rushes

18.4

           

12.4

       

 Forbs

   

2.5

           

1.8

       

 Lichens

   

15.0

           

14.7

       

 Moss

   

30.5

           

33.9

       

 

Table D.5.  Percent nitrogen in fecal pellets of Dall's sheep by study area, year and month in the Yukon-Tanana Uplands, Alaska.

 

2000

 

2001

Month

Cirque Lakes

West Point

 

Cirque Lakes

West Point

February

1.62

1.47

     

March

1.70

1.50

 

1.69

1.47

April

1.63

1.67

     

May

1.24

1.75

 

1.65

 

June

     

2.43

1.79

July

2.67

2.76

 

2.61

1.94


 

APPENDIX E. 

Graphical and statistical analysis of the proportion of time Dall’s sheep spent active, the feeding efficiency, and behavior of Dall’s sheep relative to overflights by small civilian single engine fixed wing aircraft.

Table E.1.  Summary of ANCOVA results examining factors affecting the proportion of time Dall’s sheep were active including the relation to overflights by small civilian single engine aircraft during field sessions in 2000 and 2001.  Two data sets were considered.  One model was examined without considering the presence of lambs, and a second model (restricted to May, June and July) included lambs in the analysis.  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.

Dependent variable

Independent

Variable*

d.f.

F

P

Partial eta squared

Proportion Active

(ewe/overflight model)

         

Rock

1

3.539

0.062

0.022

Ewe

1

0.161

0.689 a

0.001

 

Overflight

2

0.308

0.735

0.004

 

Site

1

4.544

0.035

0.027

 

Year(site)

2

3.290

0.040

0.039

 

Sequence(year(site))

12

2.897

0.001

0.178

           

Proportion Active (lamb/overflight model)

         

Rock

1

0.118

0.732

0.001

Ewe

1

0.212

0.646

0.002

 

Lamb

1

1.019

0.315

0.011

 

Overflight

2

0.466

0.629

0.010

 

Site

1

0.020

0.888 a

0.000

 

Year(site)

1

0.181

0.672

0.002

 

Sequence(year(site))

5

0.521

0.759

0.027

* Independent variables used in model were: 1) distance from steep rocks; 2) number of ewes in group; 3) number of lambs in group; 4) before, during, or after small single engine aircraft overflight event; 5) study site; 6) year nested within study site; and 7) date sequence nested within year nested within study site

a Interactions between independent variables were assumed if the significance (P<0.05) of an independent variable differed when comparing Type III and Type I sum of squares.

Figure E.1.  Mean (+SE) proportion of Dall’s sheep active during scan sampling in: 1) the 10 minutes before a small single engine aircraft overflight event (n=50 for ewe model and n=29 for lamb model); 2) during a small single engine aircraft overflight event (n=75 for ewe model and n=44 for lamb model); and 3) 10 minutes after the overflight event (n=56 for ewe model and n=33 for lamb model).  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.  Observations were made between late February and early August for the ewe/model and a subset of this data (observations between May and August) was used for the lamb/model.

Table E.2.  Summary of ANCOVA results examining factors affecting the feeding efficiency of Dall’s sheep including the relation to overflights by small civilian single engine aircraft during field sessions in 2000 and 2001.  Two data sets were considered.  One model was examined without considering the presence of lambs, and a second model (restricted to May, June and July) included lambs in the analysis.  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.

Dependent variable

Independent variable*

d.f.

F

P

Partial eta squared

Feeding Efficiency

(ewe/overflight model)

         

Rock

1

0.115

0.736

0.001

Ewe

1

0.782

0.379

0.007

Overflight

2

5.795

0.004

0.097

 

Site

1

0.115

0.735

0.001

 

Year(site)

2

1.624

0.202

0.029

 

Sequence(year(site))

11

1.089

0.377

0.100

           

Feeding Efficiency

(lamb/overflight model)

         

Rock

1

0.062

0.804

0.001

Ewe

1

0.381

0.539

0.006

Lamb

1

3.801

0.055

0.053

 

Overflight

2

1.939

0.152

0.054

 

Site

1

0.000

.991

0.000

 

Year(site)

1

0.029

0.865

0.000

 

Sequence(year(site))

5

1.450

0.218

0.096

* Independent variables used in model were: 1) distance from steep rocks; 2) number of ewes in group; 3) number of lambs in group; 4) before, during, or after an overflight event; 5) study site; 6) year nested within study site; and 7) date sequence nested within year nested within study site

a Interactions between independent variables were assumed if the significance (P<0.05) of an independent variable differed when comparing Type III and Type I sum of squares.

Figure E.2.  Mean (+SE) feeding efficiency of Dall’s sheep during scan sampling in: 1) the 10 minutes before a small single engine aircraft overflight event (n=37 for ewe model and n=22 for lamb model); 2) during a small single engine aircraft overflight event (n=50 for ewe model and n=34 for lamb model); and 3) 10 minutes after the overflight event (n=40 for ewe model and n=25 for lamb model)Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.  Observations were made between late February and early August for the ewe/model and a subset of this data (observations between May and August) was used for the lamb/model.

 

Table E.3.  Summary of MANCOVA results examining factors affecting the behavior of Dall’s sheep (percent bedding, standing, feeding, walking, and running) including the relation to overflights by small civilian single engine aircraft during field sessions in 2000 and 2001.  Two data sets were considered.  One model was examined without considering the presence of lambs, and a second model (restricted to May, June and July) included lambs in the analysis.  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.

Dependent Variable

Independent Variable*

d.f.

F

P

Partial eta squared

Behavior

         

ewe/overflight model

Rock

4

1.085

0.366

0.027

Ewe

4

0.223

0.925 a

0.006

Overflight

8

2.187

0.028

0.052

 

Site

4

1.345

0.256

0.033

 

Year(site)

8

1.910

0.058 a

0.046

 

Sequence(year(site))

48

2.247

0.000

0.145

           

Behavior

(lamb/overflight model)

         

Rock

4

0.152

0.962

0.007

Ewe

4

0.390

0.815

0.017

Lamb

4

1.490

0.212

0.062

 

Overflight

8

1.732

0.094

0.071

 

Site

4

0.033

0.998 a

0.001

 

Year(site)

4

0.218

0.928 a

0.010

 

Sequence(year(site))

20

1.738

0.027

0.087

* Independent variables used in model were: 1) distance from steep rocks; 2) number of ewes in group; 3) number of lambs in group; 4) before, during, or after a small single engine aircraft overflight event; 5) study site; 6) year nested within study site; and 7) date sequence nested within year nested within study site

a Interactions between independent variables were assumed if the significance (P<0.05) of an independent variable differed when comparing Type III and Type I sum of squares.

Figure E.3.  Mean (+SE) behavior of Dall’s sheep during scan sampling in: 1) the 10 minutes before a small single engine aircraft overflight event (n=50 for ewe model and n=29 for lamb model); 2) during a small single engine aircraft overflight event (n=75 for ewe model and n=44 for lamb model); and 3) 10 minutes after the overflight event (n=56 for ewe model and n=33 for lamb model)Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.  Observations were made between late February and early August for the ewe/model and a subset of this data (observations between May and August) was used for the lamb/model.

 

 

Table E.4.  Summary of ANCOVA results examining factors affecting the proportion of time Dall’s sheep were active including proximity and sound level (2 min. mean Leq [dBA]) of overflights by small civilian single engine aircraft during field sessions in 2000 and 2001.  Two data sets were considered.  One model was examined without considering the presence of lambs, and a second model (restricted to May, June and July) included lambs in the analysis.  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.

Dependent variable

Independent

Variable*

d.f.

F

P

Partial eta squared

Proportion Active

(ewe/sound model)

         

Rock

1

6.986

0.014

0.212

Ewe

1

12.477

0.002 a

0.324

Proximity

2

0.367

0.697 a

0.027

 

Leq (dBA)

1

3.437

0.075 a

0.117

 

Site

1

7.077

0.013 a

0.214

 

Year(site)

2

5.602

0.009 a

0.301

 

Sequence(year(site))

8

1.463

0.219

0.310

           

Proportion Active (lamb/sound model)

         

Rock

1

9.006

0.008 a

0.360

Ewe

1

13.342

0.002

0.455

Lamb

1

0.720

0.409

0.043

 

Proximity

2

2.693

0.048

0.050

 

Leq (dBA)

1

3.976

0.063

0.199

 

Site

1

9.110

0.008

0.363

 

Year(site)

1

9.030

0.008 a

0.361

 

Sequence(year(site))

3

3.179

0.053 a

0.373

* Independent variables used in model were: 1) distance from steep rocks; 2) number of ewes in group; 3) number of lambs in group; 4) proximity to sheep of overflight by small civilian single engine aircraft; 5) sound level (2 minute mean Leq [dBA]); 6) study site; 7) year nested within study site; and 8) year nested within study site nested within date sequence.

a Interactions between independent variables were assumed if the significance (P<0.05) of an independent variable differed when comparing Type III and Type I sum of squares.

Figure E.4.  Mean (+SE) proportion of Dall’s sheep active during scan sampling during overflights by small civilian single engine aircraft grouped by proximity: 1) close = aircraft lower than 1,500 m AGL and within 1.6 km horizontal distance from sheep (n=15 for ewe model and n=7 for lamb model); 2) moderate = aircraft lower than 1,500 m AGL and between 1.6 and 3.2 km horizontal distance from sheep (n=15 for ewe model and n=8 for lamb model); 3) far = aircraft higher than 1,500 m AGL and greater than 3.2 km horizontal distance from sheep (n=44 for ewe model and n=28 for lamb model).  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.  Observations were made between late February and early August for the ewe/model and a subset of this data (observations between May and August) was used for the lamb/model.

Figure E.5.  Mean (+SE) proportion of Dall’s sheep active during scan sampling during overflights by small civilian single engine aircraft grouped by 2 minute mean Leq (dBA): 1) < 40 dBA (n=77 for ewe model and n=53 for lamb model); 2) 41 – 50 dBA (n=16 for ewe model and n=10 for lamb model); and 3) > 51 dBA (n=6 for ewe model and n=3 for lamb model).  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.  Observations were made between late February and early August for the ewe/model and a subset of this data (observations between May and August) was used for the lamb/model.

 

Table E.5.  Summary of ANCOVA results examining factors affecting the feeding efficiency of Dall’s sheep including proximity and sound level (2 min. mean Leq [dBA]) of overflights by small civilian single engine aircraft during field sessions in 2000 and 2001.  Two data sets were considered.  One model was examined without considering the presence of lambs, and a second model (restricted to May, June and July) included lambs in the analysis.  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.

Dependent variable

Independent variable*

d.f.

F

P

Partial eta squared

Feeding Efficiency

(ewe/sound model)

         

Rock

1

0.019

0.893

0.002

Ewe

1

0.014

0.907 a

0.001

Proximity

2

0.581

0.574

0.088

 

Leq (dBA)

1

0.947

0.350

0.073

 

Site

1

0.019

0.894

0.002

 

Year(site)

2

0.009

0.991

0.002

 

Sequence(year(site))

6

1.248

0.349

0.384

           

Feeding Efficiency

(lamb/sound model)

         

Rock

1

0.112

0.745 a

0.011

Ewe

1

0.000

0.998

0.000

Lamb

1

1.667

0.226 a

0.143

 

Proximity

1

1.000

0.395

0.024

 

Leq (dBA)

1

0.030

0.866

0.003

 

Site

1

0.112

0.744

0.011

 

Year(site)

1

0.113

0.743 a

0.011

 

Sequence(year(site))

2

0.693

0.522

0.122

* Independent variables used in model were: 1) distance from steep rocks; 2) number of ewes in group; 3) number of lambs in group; 4) proximity of overflight to sheep; 5) sound level (2 minute mean Leq [dBA]); 6) study site; 7) year nested within study site; and 8) year nested within study site nested within date sequence.

a Interactions between independent variables were assumed if the significance (P<0.05) of an independent variable differed when comparing Type III and Type I sum of squares.

Figure E.6.  Mean (+SE) feeding efficiency of Dall’s sheep during scan sampling during overflights by small civilian single engine aircraft grouped by proximity: 1) close = aircraft lower than 1,500 m AGL and within 1.6 km horizontal distance from sheep (n=9 for ewe model and n=6 for lamb model); 2) moderate = aircraft lower than 1,500 m AGL and between 1.6 and 3.2 km horizontal distance from sheep (n=9 for ewe model and n=5 for lamb model); 3) far = aircraft higher than 1,500 m AGL and greater than 3.2 km horizontal distance from sheep (n=31 for ewe model and n=22 for lamb model).  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.  Observations were made between late February and early August for the ewe/model and a subset of this data (observations between May and August) was used for the lamb/model.

 

Figure E.7.  Mean (+SE) feeding efficiency of Dall’s sheep during scan sampling during overflights by small civilian single engine aircraft grouped by 2 minute mean Leq (dBA): 1) < 40 dBA (n=51 for ewe model and n=42 for lamb model); 2) 41 – 50 dBA (n=11 for ewe model and n=8 for lamb model); and 3) > 51 dBA (n=5 for ewe model and n=2 for lamb model).  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.  Observations were made between late February and early August for the ewe/model and a subset of this data (observations between May and August) was used for the lamb/model.

 

Table E.6.  Summary of MANCOVA results examining factors affecting the behavior of Dall’s sheep (percent bedding, standing, feeding, walking, and running) including proximity and sound level (2 min. mean Leq [dBA]) of overflights by small civilian single engine aircraft during field sessions in 2000 and 2001.  Two data sets were considered.  One model was examined without considering the presence of lambs, and a second model (restricted to May, June and July) included lambs in the analysis.  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.

Dependent Variable

Independent Variable*

d.f.

F

P

Partial eta squared

Behavior

(ewe/sound model)

         

Rock

3

2.178

0.117 a

0.214

Ewe

3

4.022

0.019

0.335

Proximity

6

0.526

0.786

0.062

 

Leq (dBA)

3

1.396

0.268

0.149

 

Site

3

2.206

0.113 a

0.216

 

Year(site)

6

2.586

0.030 a

0.244

 

Sequence(year(site))

24

1.027

0.447

0.252

           

Behavior

(lamb/sound model)

         

Rock

3

2.695

0.086 a

0.366

Ewe

3

4.719

0.018 a

0.503

 

Lamb

3

0.769

0.530

0.141

 

Proximity

6

1.325

0.279

0.221

 

Leq (dBA)

3

1.233

0.335

0.209

 

Site

3

2.733

0.083 a

0.369

 

Year(site)

3

2.710

0.085

0.367

 

Sequence(year(site))

9

1.360

0.244

0.220

* Independent variables used in model were: 1) distance from steep rocks; 2) number of ewes in group; 3) number of lambs in group; 4) proximity of overflight to sheep; 5) sound level (2 minute mean Leq [dBA]); 6) study site; 7) year nested within study site; and 8) year nested within study site nested within date sequence.

a Interactions between independent variables were assumed if the significance (P<0.05) of an independent variable differed when comparing Type III and Type I sum of squares.

 

Figure E.8.  Mean (+SE) behavior of Dall’s sheep during scan sampling during overflights by small civilian single engine aircraft grouped by proximity: 1) close = aircraft lower than 1,500 m AGL and within 1.6 km horizontal distance from sheep (n=15 for ewe model and n=7 for lamb model); 2) moderate = aircraft lower than 1,500 m AGL and between 1.6 and 3.2 km horizontal distance from sheep (n=15 for ewe model and n=8 for lamb model); 3) far = aircraft higher than 1,500 m AGL and greater than 3.2 km horizontal distance from sheep (n=44 for ewe model and n=28 for lamb model).  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.  Observations were made between late February and early August for the ewe/model and a subset of this data (observations between May and August) was used for the lamb/model.

 

Figure E.9.  Mean (+SE) behavior of Dall’s sheep during scan sampling during overflights by small civilian single engine aircraft grouped by 2 minute mean Leq (dBA): 1) < 40 dBA (n=77 for ewe model and n=53 for lamb model); 2) 41 – 50 dBA (n=16 for ewe model and n=10 for lamb model); and 3) > 51 dBA (n=6 for ewe model and n=3 for lamb model).  Observations were made at 2 study sites in the Yukon-Tanana Uplands of Interior Alaska.  Observations were made between late February and early August for the ewe/model and a subset of this data (observations between May and August) was used for the lamb/model.


APPENDIX F. 

Power Analysis for Usage Variables

Here a power analysis is conducted to determine an adequate sample size for detecting overflight effects in sheep home range size, average daily distance traveled, and vegetation type usage. Statistical power is the probability of detecting effects given they are present in the sampled population. If certain effects are present, they can always be detected with high probability by increasing the sample size of observed individuals. In some cases, however, the sample size often has to be increased to an unattainable size in order to detect small effects in the sampled population. Although no significant jet overflight effects were observed, the number of collared sheep is relatively low; this implies that sample size may be too low to have a high probability of detecting them. Therefore, a power analysis was performed to determine the number of sheep that would have to be collared to detect sortie effects at least as large as what was observed.

Three models used were examined for their ability to detect present sortie effects: the MANOVA model for determining sortie effects on vegetation type usage and the two ANOVA models for examining sortie effects on average daily distance traveled and home range size over each 2 week sequence. For the 2 ANOVA analyses, exact power calculations were made, however, due to the complexity of the MANOVA test statistic sampling distribution, simulations were necessary to approximate the power of the vegetation usage analysis.

In both of the ANOVA models the “effects” parameterization was used for the power analysis. For a simple 2 covariate model, the effects parameterization is given by

Yk = ai + bj + cij + ek,

where Yk is the response variable individual k = 1,…, n. The parameters ai and bj represent “main effects” and cij represents an “interaction effect” for i = 1,…, I and j = 1,…, J, and ek represents an error term for individual k, usually normally distributed.

Parameters are usually estimated using the least squares matrix equation

B = (XX)-1XY,

where B is the vector of parameters, X is the design matrix filled with indicator vectors for each effect parameter (see Neter et al. 1996, chapter 11) and Y is the vector of individual observations. The model statement, the usual type of hypothesis test is of the form

H0: b1 = b2 = … = bJ = 0;

that is to say, the second covariate has no effect on the response variable. The test statistic used to test this type of hypothesis is the F statistic given by

,

where SSE is the error sum of squares. The subscripts f and r refer to the SSE values when the full model is used and when the reduced model (without the covariate being tested) is used. The df values are degrees of freedom. Both df1 and df2 are calculated based the ranks of the matrices used to calculate the numerator and denominator of the F ratio (see Hocking 1996).

The F ratio has a central F-distribution with df1 and df2 degrees of freedom if the null hypothesis is true; all of the tested parameters are in fact equal to 0 in reality. Therefore, the null hypothesis is rejected if the calculated F ratio exceeds the 95th percentile of the central F-distribution. This gives a Type I error rate of 5%. If the null hypothesis is in fact false, however, the F ratio has a “non-central” F-distribution with non-centrality parameter l. Hocking (1996) provides a formulation for l. Under the assumption of normal errors, the power of the test, which is equal to the probability that one rejects the null hypothesis when it is false, is equal to

Pr{F > F(0.95, df1, df2)},

where the random variable F has a non-central F-distribution with df1 and df2 degrees of freedom and F(0.95, df1, df2) is the 95th percentile of the corresponding central distribution. This can be calculated directly from the cumulative distribution function of the non-central F-distribution.

The ANOVA models used for the analysis of average daily movement and home range size represent an incomplete design when all 2-way interactions of the covariates, study area, year, and sequence, are included. This is due to the fact that not all sequences we’re observed in every year. The implication of this is that the parameters estimated with the least squares equation are not unique as the inverse of the XX matrix does not exist. Therefore, the effects parameters do not have a well defined interpretation. So, only sample size adjustments were examined for their effect on power to detect sortie effects.

To examine the sample size effects on the power to detect sortie effects sample size was iteratively increased and the power was calculated. Power calculations were made by assuming the estimated cell means from the least squares predictions were the true population means. Sample sized was then increased by the addition of 1 observation to each year*sequence that was observed in the study. This would result from the addition of 2 collared sheep per year, one in each study area. Sample size was increased in this manner in order to keep the dimension of the model parameters the same. If observations were added to year*sequence cells where no observations were made adds additional model degrees of freedom. Since absence of observations in a certain cell is due to inability to make the observations at that time we felt that it was unrealistic to add observations where they could not have been made.

Figure 1 illustrates the power curves for average daily distance and home range size analyses, as well as the MANOVA vegetation type use analysis discussed later. The curves show that the addition of 10 observations for each year*sequence observed in the study (indicated with the vertical line) will result in a power of approximately 0.82 for detecting the sortie effect on average daily distance traveled and 0.77 for detecting sortie effects on home range size. This indicates that it is probably necessary to double the number of collared sheep to detect sortie effect as large as what was estimated with the given sample.

The same procedure was followed for the power analysis of the MANOVA model used to investigate sortie effects on the vector of vegetation type usage. Parameters are estimated with the same least squares equation, but, now the set of parameters B is a matrix. A common test statistic is based on the likelihood ratio

L = |E| / |H+E|,

where | ∙ | represents the determinant of a matrix, E is the sum of squared error matrix for the full model, H is the difference is error sums of squares between the reduced model and the full model. An F statistic is then calculated from this ratio (see Johnson and Wichern 1992, Chapter 7 for complete description of the F statistic and associated degrees of freedom df1 and  df2). Unfortunately, under the alternative hypothesis the non-centrality parameter is difficult to calculate. Therefore, a simulation is used to approximate the power calculation stochastically. For each step in the addition of observations described previously, a simulation was performed to determine Pr{F > F(0.95, df1, df2)}.

When sample size was increased the predicted values were calculated based on the estimated values from the full model calculated with the real data. These parameter values were taken for “reality” as with the ANOVA models. For each predicted value a multivariate normal error term was simulated with the variance-covariance matrix calculated from the real data. This was repeated 1000 times and the proportion of times that the sortie effects were significant were used to approximate the power for the given sample size. Again, Figure 1 illustrates the power for the multivariate test for sortie effects on the vector of vegetation type usage. With the addition of 10 observations per year*sequence, the power for detecting sortie effects is approximately 0.78.

Overall, it appears that in order to have a reasonable chance of detecting sortie effects given they are at least as large as what was observed with the current sample, the number of collared sheep should be doubled at minimum. Therefore, the lack of significant sortie effects in the present analysis should not be taken for absence of any sortie effects. The current sample size is not large enough to detect significant sortie effects that are as large as the estimated effects.


Figure F.1.  Power curves for detecting sortie effects. Average daily distance traveled and home range size power curves were calculated exactly. Power for sortie effects on vegetation type usage was simulated. The vertical line represents a sample size twice as large as the current data set.

 

 

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2004 Sheep Report
http://www.nps.gov/yuch/Expanded/key_resources/sheep/sheep_2004.htm
Doug Beckstead
December 8, 2004