This is the slide presentation during my final year project for my Degree in (Honours) Biology at UiTM Perlis.

1. Prepared by
Atik Zufar bin Haji Mohd Razaki
Supervised by
Sir Tun Mohd Firdaus bin Azis

2. 1. Introduction
2. Literature Review
3. Methodology
4. Results
5. Discussion
6. Conclusion

3.  To determine the relationship of rainfall,
temperature, humidity, wind speed and light
intensity with the abundance of flies.
 High abundance of cumulative rainfall,
average weight of rabbit carcasses, ambient
temperature and relative humidity will
increase the diversity of flies.

4. Decay Stage
Post-decay StageRemains Stage
Bloated StageFresh Stage

5. Chrysomya rufifacies
Chrysomya megacephala
Sarcophaga haemorrhoidalis
Megaselia scalaris
Piophila casei

6. 5 m
Pitfall Trap
The position of two carcasses

7. Day/Date Time of
Collection
Temperature
(˚C)
Humidity (%) Rainfall (ml) Rabbit Carcasses Remarks
Sample A Sample B
1 - 3 8.00 a.m.
12.00 p.m.
6.00 p.m.
4 - 7 8.00 a.m.
12.00 p.m.
8 - 16 12.00 p.m
Table of Flies Species Collection with Reading of Temperature, Humidity and Rainfall.

8. y y
x x
y y
x x
Positive linear relationship
No relationshipCurvilinear relationship
Negative linear relationship

9. Date Time Temp.
(°C)
Humidity
(%)
Wind
(km/h)
Light Rainfall(
mm)
Chrysomya
megacephala
Chrysomya
rufifacies
Sarcophaga
haemorrhoidalis
Piophila
casei
Megaselia
scalaris
Tot.
20/4/2015 1.40
pm
34.6 61.2 4.0 19500 None 0
0
0
0
0
0
0
0
0
0
0
0
21/4/2015 8.15
am
31.3 78.0 0.0 17850 None 0
0
0
1
0
1
1
0
0
0
1
2
12.55
pm
35.0 65.5 5.9 16920 None 0
0
0
0
0
0
0
0
0
0
0
0
6.10
pm
32.6 64.1 7.0 5820 Less
than 0.5
0
1
0
8
0
3
0
0
0
0
0
12
22/4/2015 8.10
am
29.9 73.2 0.0 11220 None 0
0
1
7
4
4
0
1
0
0
5
12
12.00
pm
32.9 70.1 6.1 16330 None 0
5
1
5
1
1
0
0
0
0
2
11
5.55
pm
33.1 63.2 5.4 1741 Less
than 0.5
0
2
3
10
1
0
3
0
0
0
7
12

10. 23/4/2015 8.20
am
28.7 86.0 0.0 15050 None 5
1
22
56
1
1
0
0
0
0
28
58
12.30
pm
39.1 50.9 0.0 19500 None 0
1
32
9
3
5
0
0
0
0
35
15
6.00
pm
30.4 72.7 0.0 5870 None 0
1
11
24
12
5
0
0
0
0
23
30
24/4/2015 8.00
am
27.6 80.6 16 8650 None 0
1
14
34
1
7
0
0
0
0
15
42
12.00
pm
32.8 74.8 10.2 11080 None 0
3
3
8
3
2
0
0
0
0
6
13
6.00
pm
31.0 62.7 11.0 7740 None 0
0
6
7
3
7
1
0
0
0
10
14
25/4/2015 8.00
am
28.8 78.6 0.0 9480 None 0
0
0
6
0
2
0
1
0
0
0
9
6.15
pm
32.5 61.3 13.1 17770 None 0
0
0
4
2
6
1
1
0
0
3
11

11. 26/4/2015 8.00
am
28.9 76.8 0.0 7060 None 0
0
0
0
0
1
0
0
0
0
0
1
12.00
pm
35.0 58.6 12.0 19100 None 0
0
0
0
0
0
0
0
0
0
0
0
27/4/2015 12.20
pm
30.7 64.3 2.0 19100 None 0
0
0
0
0
0
0
0
0
0
0
0
28/4/2015 8.00
am
28.1 77.9 2.0 10510 None 0
0
0
0
0
1
0
0
0
1
0
2
29/4/2015 8.40
am
30.2 75.6 3.0 18220 None 0
0
0
0
0
0
0
0
0
0
0
0
30/4/2015 8.00
am
29.9 77.0 5.1 10710 None 0
0
0
0
0
0
0
0
0
0
0
0
Table of relationship between temperature, humidity, wind speed, light intensity
and rainfall volume with diversity species of flies.
Legend: Sample A
Sample B

12. 20/4/2015 21/4/2015 22/4/2015 23/4/2015 24/4/2015 25/4/2015 26/4/2015 27/4/2015 28/4/2015 29/4/2015 30/4/2015
Chrysomya
megacephala
Chrysomya rufifacies
Sarcophaga haemorrhoidalis
Piophila
casei
Flies succession for Sample A.
20/4/2015 21/4/2015 22/4/2015 23/4/2015 24/4/2015 25/4/2015 26/4/2015 27/4/2015 28/4/2015 29/4/2015 30/4/2015
Megaselia
scalaris
Piophila
casei
Piophila
casei
Sarcophaga haemorrhoidalis
Sarcophaga
haemorrhoidalis
Chrysomya rufifacies
Chrysomya megacephala
Flies succession for Sample B.

13. Independent Variables
Dependent
Variables
Temperature Humidity Wind Speed Light Intensity Rainfall Volume
Chrysomya megacephala 0.004 0.139 0.012 0.030 0.075
Chrysomya rufifacies 0.101 0.218 0.040 0.104 0.035
Sarcophaga
haemorrhoidalis 0.026 0.084 0.109 0.279 0.106
Piophila casei 0.017 0.131 0.082 0.225 0.312
Megaselia scalaris 0.198 0.140 0.092 0.067 0.051
Table of correlation coefficient, r for each independent variable against each
dependent variable.

14. Dependent
Variables
Independent
Variables
Chrysomya
megacephala
Chrysomya
rufifacies
Sarcophaga
haemorrhoidalis
Piophila
casei
Megaselia
scalaris
Temperature,
Humidity, Wind
Speed, Light Intensity
and Rainfall Volume
0.403 0.301 0.558 0.353 0.226
Table for multiple correlation coefficient, R for all independent variables against
each dependent variable.

15. Graph of the relationship between Chrysomya rufifacies and
humidity.

16. Graph of the relationship between Sarcophaga haemorrhoidalis and
humidity.

17. General equation for multiple correlation coefficient.
y = a + b1x1 + b2x2 + b3x3 + b4x4 + b5x5
1. Chrysomya megacephala
y = -15.831 + 0.268x1 + 0.108x2 + 0.023x3 + [4.866 x 10^(-6)]x4
+ 1.433x5
= 2.376
2. Chrysomya rufifacies
y = -93.223 + 1.794x1 + 0.686x2 + 0.084x3 + 0.000x4 + (-6.196)x5
= 8.885
3. Sarcophaga haemorrhoidalis
y = 12.328 + 0.074x1 + (-0.111)x2 + 0.018x3 + 0.000x4 + (-10.944)x5
= -4.567

18. 4. Piophila casei
y = 3.025 + (-0.046)x1 + (-0.018)x2 + 0.002x3
+ [8.189 x 10^(-6)]x4 +0.882x5
= 1.196
5. Megaselia scalaris
y = 0.812 + (-0.018)x1 + (-0.003)x2 + (-0.003)x3
+ [3.363 x 10^(-7)]x4 + (-0.027)x5
= -0.021

19.  This shows that each independent
variable which are temperature,
humidity, wind speed, light intensity and
rainfall volume have the weak
relationship and is not fully related with
each fly species which are Chrysomya
megacephala, Chrysomya rufifacies,
Sarcophaga haemorrhoidalis, Piophila casei
and Megaselia scalaris respectively.

20. The
End…
Any Questions???