Lampiran 5. Daftar peubah untuk penyusunan model hubungan persediaan karbon
tegakan dengan dimensi tegakan agroforestri
1. AGROFORESTRI DS PECEKELAN
No. CtotAG
Cstandkop Cstand
Clive Age
N D
BA 1
11.06 9.26
3.87 9.30
1.5 488
8.3 2.86
2 27.76
25.89 19.69
26.70 3.5
630 13.5
10.51 3
44.41 42.87
34.40 43.59
5.5 1,800
10.7 20.29
4 30.53
29.44 27.74
29.74 5.5
1,228 10.6
14.87 5
28.69 26.23
22.85 26.96
5.5 919
12.2 13.01
6 46.91
42.61 34.79
42.68 7.5
925 13.2
16.38 7
27.27 26.65
20.05 26.73
3.5 972
9.9 11.97
8 31.35
28.24 23.03
29.13 5.5
811 10.5
12.31 9
37.83 35.18
25.70 35.70
5.5 1,211
10.8 14.39
10 35.47
32.25 28.07
33.34 5.5
690 14.4
14.05 11
29.20 27.76
22.05 27.85
7.5 590
12.5 10.17
12 59.99
53.69 45.29
53.72 9.5
673 15.6
18.69 13
26.77 24.57
19.92 24.77
3.5 935
10.9 11.07
14 76.68
72.82 63.43
73.14 11.5
727 16.9
23.52 15
36.87 34.69
31.33 35.29
5.5 1,178
11.8 16.90
16 85.37
81.15 71.00
81.15 11.5
783 17.7
27.33 17
49.21 46.24
42.41 46.87
7.5 1,197
12.6 20.23
18 29.76
25.82 25.28
27.16 3.5
1,525 10.4
15.49 19
71.99 69.24
54.45 69.26
9.5 722
16.9 22.40
20 38.26
34.75 26.55
34.75 3.5
950 13.0
15.67 21
26.78 23.80
14.71 23.80
1.5 983
10.1 9.18
2. AGROFORESTRI DS KERTAYASA
No. CtotAG
Cstandkop Cstand
Clive Age
N D
BA 1
31.22 28.41
26.51 28.70
3.5 1317
10.2 13.00
2 42.78
40.62 32.95
40.82 5.5
1350 11.5
17.45 3
57.52 54.24
49.26 54.87
7.5 1117
13.3 19.23
4 20.79
19.70 19.13
19.73 3.5
1570 9.1
11.79 5
31.85 26.82
25.99 27.64
5.5 1623
10.0 14.61
6 32.15
29.61 25.66
30.32 5.5
1483 10.1
14.75 7
50.49 46.66
38.30 47.17
7.5 1250
11.8 17.69
8 27.76
25.41 23.61
25.68 3.5
1517 9.4
12.52 9
33.19 31.36
27.16 31.49
3.5 1772
9.5 15.74
10 9.10
8.49 8.49
8.53 1.5
1161 7.9
7.13 11
60.63 57.95
51.31 58.12
11.5 1750
12.2 25.74
12 30.60
28.65 25.69
28.94 3.5
2067 9.3
16.08 13
58.77 55.78
54.78 56.12
9.5 1925
12.9 29.15
14 42.08
40.01 31.32
40.19 9.5
1200 11.2
15.88 15
47.19 44.86
44.12 45.10
5.5 2833
9.6 25.26
16 35.03
32.39 31.39
33.04 7.5
2075 9.7
18.69 17
86.95 83.64
70.79 83.67
11.5 1500
13.1 30.19
18 56.17
51.87 51.47
52.19 7.5
2883 10.4
29.47 19
28.18 28.08
23.34 28.37
3.5 1800
8.2 11.03
20 32.41
28.63 28.36
29.57 5.5
1717 10.2
17.05
Lampiran 6. Hasil pengolahan data model hubungan persediaan karbon tegakan dengan struktur tegakan agroforestri
1. AGROFORESTRI DS PECEKELAN
Descriptive Statistics: k, a, CtotAG, Cstandkop, Cstand, Chidup
Variable N Mean Median TrMean StDev SE Mean k 21 3508 2248 3172 3444 751
a 21 -0.1730 -0.1790 -0.1746 0.0738 0.0161 CtotAG 21 40.58 35.47 39.78 18.74 4.09
Cstandko 21 37.77 32.25 36.99 18.05 3.94 Cstand 21 31.27 26.55 30.62 16.19 3.53
Chidup 21 38.17 33.34 37.43 17.95 3.92 Variable Minimum Maximum Q1 Q3
k 223 13170 686 5606 a -0.2730 -0.0440 -0.2320 -0.1160
CtotAG 11.06 85.37 28.23 48.06 Cstandko 9.26 81.15 26.06 44.56
Cstand 3.87 71.00 21.05 38.60 Chidup 9.30 81.15 26.85 45.23
Correlations: k, a, CtotAG, Cstandkop, Cstand, Chidup
k a CtotAG Cstandko Cstand a -0.810
0.000 CtotAG -0.318 0.747
0.159 0.000 Cstandko -0.307 0.741 0.998
0.176 0.000 0.000 Cstand -0.288 0.727 0.987 0.987
0.206 0.000 0.000 0.000 Chidup -0.299 0.738 0.998 1.000 0.989
0.188 0.000 0.000 0.000 0.000 Cell Contents: Pearson correlation
P-Value
Regression Analysis: CtotAG versus k, a
The regression equation is CtotAG = 87.2 + 0.00453 k + 361 a
Predictor Coef SE Coef T P VIF Constant 87.179 5.866 14.86 0.000
k 0.0045306 0.0009837 4.61 0.000 2.9 a 361.13 45.92 7.86 0.000 2.9
S = 8.890 R-Sq = 79.7 R-Sqadj = 77.5 PRESS = 1958.16 R-Sqpred = 72.12
Analysis of Variance Source DF SS MS F P
Regression 2 5600.3 2800.1 35.43 0.000 Residual Error 18 1422.7 79.0
Total 20 7023.0 Source DF Seq SS
k 1 712.3 a 1 4887.9
Unusual Observations Obs k CtotAG Fit SE Fit Residual St Resid
3 13170 44.41 50.06 6.78 -5.65 -0.98 X 11 558 29.20 50.34 2.65 -21.14 -2.49R
16 368 85.37 66.82 3.75 18.55 2.30R R denotes an observation with a large standardized residual
X denotes an observation whose X value gives it large influence.
Regression Analysis: Cstandkop versus k, a
The regression equation is Cstandkop = 82.7 + 0.00446 k + 350 a
Predictor Coef SE Coef T P VIF Constant 82.685 5.628 14.69 0.000
k 0.0044617 0.0009437 4.73 0.000 2.9 a 350.00 44.05 7.94 0.000 2.9
S = 8.529 R-Sq = 79.9 R-Sqadj = 77.7 PRESS = 1790.52 R-Sqpred = 72.51
Analysis of Variance Source DF SS MS F P
Regression 2 5205.2 2602.6 35.78 0.000 Residual Error 18 1309.3 72.7
Total 20 6514.5 Source DF Seq SS
k 1 613.9 a 1 4591.3
Unusual Observations Obs k Cstandko Fit SE Fit Residual St Resid
3 13170 42.87 47.65 6.51 -4.78 -0.87 X 11 558 27.76 47.02 2.54 -19.26 -2.37R
16 368 81.15 62.98 3.59 18.17 2.35R R denotes an observation with a large standardized residual
X denotes an observation whose X value gives it large influence.
Regression Analysis: Cstand versus k, a
The regression equation is Cstand = 71.4 + 0.00411 k + 315 a
Predictor Coef SE Coef T P VIF Constant 71.376 5.124 13.93 0.000
k 0.0041147 0.0008592 4.79 0.000 2.9 a 315.18 40.11 7.86 0.000 2.9
S = 7.766 R-Sq = 79.3 R-Sqadj = 77.0 PRESS = 1602.93 R-Sqpred = 69.42
Analysis of Variance Source DF SS MS F P
Regression 2 4156.9 2078.5 34.47 0.000 Residual Error 18 1085.5 60.3
Total 20 5242.4 Source DF Seq SS
k 1 433.6 a 1 3723.4
Unusual Observations Obs k Cstand Fit SE Fit Residual St Resid
3 13170 34.40 41.10 5.92 -6.70 -1.33 X 11 558 22.05 39.32 2.31 -17.27 -2.33R
16 368 71.00 53.66 3.27 17.34 2.46R R denotes an observation with a large standardized residual
X denotes an observation whose X value gives it large influence.
Regression Analysis: Chidup versus k, a
The regression equation is Chidup = 82.9 + 0.00451 k + 350 a
Predictor Coef SE Coef T P VIF Constant 82.910 5.553 14.93 0.000
k 0.0045116 0.0009311 4.85 0.000 2.9 a 349.98 43.47 8.05 0.000 2.9
S = 8.415 R-Sq = 80.2 R-Sqadj = 78.0 PRESS = 1750.08 R-Sqpred = 72.83
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