TY - JOUR
T1 - Optimising camera trap deployment design across multiple sites for species inventory surveys
AU - Smith, J.
AU - Legge, S.
AU - James, A.
AU - Tuft, K.
N1 - Publisher Copyright:
© 2017 CSIRO.
PY - 2017
Y1 - 2017
N2 - Camera traps are being increasingly used in biological surveys. One of the most common uses of camera trap data is the generation of species inventories and estimations of species richness. Many authors have advocated for increased camera trap-nights (long deployment times or more cameras in an array) to detect rare or wide-ranging species. However, in practice, the number of traps and the duration of surveys are constrained; a survey leader must make decisions about allocating the available cameras to sites. Here we investigate the effect of deployment time, camera array size and number of sites on detection of saxicoline mammal and varanid species obtained from surveys of discrete vegetation pockets in tropical Australia. This paper provides an analysis method for optimising decisions about how a limited number of cameras should be deployed across sites. We found that increasing the number of sites leads to larger species richness estimates in a shorter period. Increasing the number of cameras per site also leads to higher species richness estimates in a shorter time, but not to the same extent as increasing the number of sites. With fewer sites used or smaller arrays deployed at each site, a longer deployment duration is required, especially for rarer or wider-ranging species, or those not attracted to bait. Finally, we compared estimates of species richness generated by our camera trapping to those generated by live trapping at a subset of our sites, and found camera traps generated much larger estimates.
AB - Camera traps are being increasingly used in biological surveys. One of the most common uses of camera trap data is the generation of species inventories and estimations of species richness. Many authors have advocated for increased camera trap-nights (long deployment times or more cameras in an array) to detect rare or wide-ranging species. However, in practice, the number of traps and the duration of surveys are constrained; a survey leader must make decisions about allocating the available cameras to sites. Here we investigate the effect of deployment time, camera array size and number of sites on detection of saxicoline mammal and varanid species obtained from surveys of discrete vegetation pockets in tropical Australia. This paper provides an analysis method for optimising decisions about how a limited number of cameras should be deployed across sites. We found that increasing the number of sites leads to larger species richness estimates in a shorter period. Increasing the number of cameras per site also leads to higher species richness estimates in a shorter time, but not to the same extent as increasing the number of sites. With fewer sites used or smaller arrays deployed at each site, a longer deployment duration is required, especially for rarer or wider-ranging species, or those not attracted to bait. Finally, we compared estimates of species richness generated by our camera trapping to those generated by live trapping at a subset of our sites, and found camera traps generated much larger estimates.
KW - bootstrap
KW - camera traps
KW - inventory
KW - species accumulation curves
KW - species richness estimators
UR - http://www.scopus.com/inward/record.url?scp=85013500961&partnerID=8YFLogxK
U2 - 10.1071/PC16017
DO - 10.1071/PC16017
M3 - Review article
SN - 1038-2097
VL - 23
SP - 43
EP - 51
JO - Pacific Conservation Biology
JF - Pacific Conservation Biology
IS - 1
ER -