While community participatory-based wildlife monitoring of wildlife by local people can be a solution, the challenge has been in finding indicators — biostatistical information — that accurately and easily estimate the total biomass of mammals targeted for bushmeat hunting abundance of bushmeat biomass.
Now, Projet Coméca, consisting of a team of researchers from Kyoto University and Cameroon, has conducted camera trap surveys in the rainforests of southeast Cameroon to predict the total biomass of large rodents and duikers, the local African forest ungulates.
“We’re willing to work together empowering the locals to establish a system with the technology to take the initiative to monitor wildlife bushmeat abundance by themselves, leading to sustainable bushmeat wildlife management,” says lead author Shun Hongo.
After setting up camera traps at three sites in a local forest to record videos of five target mammals, the team used the random encounter and staying time model, or REST, a statistical model to estimate spatial variation in each species’ population density and corresponding the total biomass.
The research team subsequently compared the relationships between the total biomass and six indicators, which had previously been proposed by different bushmeat researchers. Based on that data, six candidate indicators were extracted, enabling the researchers to compare the relationships between the biomass totals and corresponding indicators.
Two of these — the ratio of red duikers to blue duikers, and the ratio of all duikers to rodents — were deemed promising as they showed positive linear correlations with total bushmeat biomass.
“Our indicators appear to be important variables tools for sustainable management of bushmeat hunting food resources,” the author adds.
“Since forest ungulates and large rodents are widely distributed in rainforests worldwide, other communities in tropical areas may also be able to apply similar indicators for their local wildlife areas management.”
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The paper “Predicting bushmeat biomass from species composition captured by camera traps: implications for locally-based wildlife monitoring” appeared on 26 August 2022 in Journal of Applied Ecology, with doi: 10.1111/1365-2664.14257
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