Power to the people: Analysis of occupancy models informed by local knowledge
Power to the people: Analysis of occupancy models informed by local knowledge
复制标题
权力为民:根据当地知识分析入住模型
DOI:
10.1111/csp2.12753
复制
发表时间:
2022
影响因子:
3.1
通讯作者:
Brittain S
中科院分区:
文献类型:
--
作者:
Brittain S
Power analyses help to improve the cost‐effectiveness of monitoring strategies for wildlife populations, but rarely account for variation in detection probability, affecting the power of data to detect trends in occupancy. We explore the power of occupancy models informed by two locally‐informed methods (interviews and daily diaries) to detect changes in occupancy for 14 mammal species hunted for wild meat within a community forest in Cameroon. This is the first study to use the formula developed by to compare power between locally‐informed methods and camera traps, and identify the monitoring strategies best suited to different species. Comparable effort is required between the three methods to detect 50% as 80% change in occupancy, except where occupancy is less than 0.13 (diary data), 0.03 (camera), or 0.6 (interviews). Overall, where occupancy <0.54, 200 sites and four repeat visits were required to detect at least a 30% change in occupancy. Achieving power to detect any level of change useful for conservation planning is often not viable for projects with small budgets and for species with very low detection rates. However, some species of conservation importance (e.g., gorilla, chimpanzee) are better detected and as such could be monitored using data collected in collaboration with local communities.
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DOI:
--
发表时间:
2016
期刊:
影响因子:
--
作者:
Sam Earle
通讯作者:
Sam Earle
影响因子:
2.7
作者:
Tudge S
通讯作者:
Tudge S
DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
N. Vliet;J. Fa;R. Nasi
通讯作者:
R. Nasi
影响因子:
4.1
作者:
Parry, Luke;Peres, Carlos A.
通讯作者:
Peres, Carlos A.
影响因子:
2.7
作者:
Brittain, Stephanie;Bata, Madeleine Ngo;Rowcliffe, Marcus
通讯作者:
Rowcliffe, Marcus