Here’s a breakdown for you all showing the species that triggered our remote cameras last year. The lower number of detection in the later part of the year can be explained by a few issues that we had with dodgy SD cards causing the batteries to conk out prematurely. Can’t explain why the Wallaby numbers vary so much each month. Some of the other species e.g. Lyrebirds, seem much more evenly represented over the year.
Breakdown of Remote Camera |
|||||||||||||
Species |
Total |
Jan |
Feb |
Mar |
Apr |
May |
Jun |
Jul |
Aug |
Sep |
Oct |
Nov |
Dec |
Swamp Wallaby |
978 |
50 |
44 |
105 |
139 |
164 |
186 |
157 |
28 |
14 |
28 |
15 |
48 |
Superb Lyrebird |
679 |
48 |
46 |
59 |
86 |
70 |
73 |
50 |
72 |
54 |
61 |
38 |
22 |
Fox |
256 |
16 |
22 |
20 |
49 |
39 |
30 |
28 |
20 |
8 |
10 |
10 |
4 |
Brushtail Possum |
190 |
12 |
8 |
27 |
33 |
20 |
13 |
20 |
9 |
4 |
11 |
15 |
18 |
Wombat |
175 |
3 |
12 |
14 |
22 |
33 |
13 |
24 |
10 |
4 |
7 |
26 |
7 |
Rat |
170 |
16 |
2 |
4 |
12 |
7 |
15 |
17 |
27 |
54 |
12 |
4 |
|
Bassian Thrush |
156 |
8 |
11 |
22 |
24 |
4 |
10 |
12 |
20 |
5 |
9 |
4 |
27 |
Unidentified Bird |
115 |
6 |
8 |
20 |
12 |
20 |
6 |
3 |
4 |
5 |
15 |
10 |
6 |
Long Nosed Bandicoot |
95 |
9 |
6 |
8 |
13 |
8 |
9 |
5 |
10 |
19 |
4 |
1 |
3 |
Antechinus |
84 |
3 |
9 |
8 |
16 |
12 |
5 |
12 |
6 |
2 |
5 |
5 |
1 |
Small Mammal – Unidentified |
76 |
5 |
2 |
2 |
5 |
14 |
6 |
13 |
14 |
5 |
4 |
4 |
2 |
Ring-tailed Possum |
61 |
1 |
2 |
2 |
2 |
5 |
6 |
18 |
18 |
7 |
|||
White-browed Scrubwren |
53 |
3 |
1 |
2 |
10 |
6 |
7 |
6 |
2 |
2 |
3 |
8 |
3 |
Rabbit |
46 |
1 |
5 |
3 |
2 |
6 |
4 |
4 |
3 |
18 |
|||
Pilotbird |
40 |
4 |
17 |
5 |
1 |
2 |
8 |
1 |
1 |
1 |
|||
Feral Cat |
39 |
3 |
1 |
10 |
7 |
3 |
3 |
4 |
5 |
1 |
1 |
1 |
|
Short-beaked Echidna |
19 |
1 |
2 |
2 |
7 |
3 |
1 |
3 |
|||||
Large Mammal – Unidentified |
19 |
1 |
4 |
7 |
1 |
2 |
4 |
||||||
Brush Bronzewing |
17 |
1 |
2 |
1 |
1 |
3 |
1 |
4 |
1 |
3 |
|||
Eastern Whipbird |
15 |
1 |
1 |
3 |
1 |
3 |
1 |
1 |
1 |
2 |
1 |
||
Grey Currawong |
13 |
1 |
8 |
1 |
1 |
1 |
1 |
||||||
Common Blackbird |
12 |
2 |
1 |
9 |
|||||||||
Koala |
11 |
1 |
5 |
2 |
1 |
1 |
1 |
||||||
Olive Whistler |
11 |
1 |
2 |
8 |
|||||||||
Kookaburra |
7 |
4 |
1 |
1 |
1 |
||||||||
Crimson Rosella |
5 |
1 |
4 |
||||||||||
Superb Fairy-wren |
4 |
1 |
1 |
1 |
1 |
||||||||
Satin Bowerbird |
4 |
1 |
1 |
1 |
1 |
||||||||
Pied Currawong |
4 |
1 |
3 |
||||||||||
Grey Shrike-Thrush |
3 |
2 |
1 |
||||||||||
Eastern Yellow Robin |
3 |
1 |
1 |
1 |
|||||||||
Sugar Glider |
3 |
2 |
1 |
||||||||||
Fantail, Grey |
2 |
1 |
1 |
||||||||||
Fantail, Rufous |
2 |
2 |
|||||||||||
Common Bronzewing |
1 |
1 |
|||||||||||
Raven Species |
1 |
1 |
|||||||||||
Brown Thornbill |
1 |
1 |
|||||||||||
Mystery Species |
1 |
1 |
|||||||||||
Dog |
1 |
1 |
Your wallaby numbers are seasonal from the looks of the data. Could they be moving to somewhere else during the warmer/drier months?
I’m interested in your problem with the SD cards, as I run several camera traps myself. How can a dodgy card flatten the batteries?
Hi Colin
Interesting to see with the Wallabies whether that trend happens every year. Also could be due to the ambient temperature at the time, when it is closer to the Wallabies body temperature the camera might not trigger.
Theory with the SD cards is that bad formatting or other faults are causing the batteries to waste power when the unit is trying to read or write to the card. Once I found this out, I ditched a couple of cheap cards I was using and started doing a full format on all of the other cards I use, this seems to have completely resolved my issue.
Are you getting most off the wallaby photos at night or during the day. There could be seasonal trends in this too!
Gut feeling says that they are mostly at night. Will have a muck around a make a query to check the time of day for each animal sighting .
What was the unidentified large mamels
Hi John
Would have probably been a Wombat or a Swamp Wallaby in these instances we record it as an unidentified mammal, usually the animal is so close to the camera that we can only see fur in the photo, or basically not enough of the animal to know exactly what species it was.