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Us wildlife population density map4/11/2024 ![]() This information was then pooled into one density estimate for each species, representing the entire study area. This resulted in 58 density estimates for each species. Once all 58 surveys were completed, we divided each participant’s estimate for each species by the corresponding surface area of that given sample unit. 20) for each species that they felt inhabited the area that they were familiar with. Either participants provided a range (e.g. After the participant was able to correctly identify the animal species, they were then asked the question, ‘How many of this animal do you think inhabits this area?’. ![]() Once the participant delineated the area they were familiar with, the participant was shown pictures of different animal species from a prepared booklet and asked if they had ever seen this animal during their trips into the forest. Upon meeting a participant, a member of our research team showed the participant a map and asked them to identify the area on the map that they were most familiar with. Initial study participants were identified with the support of village leaders, with subsequent participants identified using the ‘chain referral’ method. We interviewed 58 such community members across 3 villages within our project site. This novel wildlife density estimation method relies on a social surveying approach to collect estimates of wildlife abundance from local community members who are knowledgeable about surrounding wildlife (e,g hunters). (2004) to help estimate wildlife populations near our partner villages in the Gunung Niut Nature Reserve located in West Kalimantan, Indonesia. In 2019, we used the ‘Pooled Local Expert Opinion’ (PLEO) method developed by Hoeven et al. As a result, it is not always possible for us to understand the direct impact our programs have on the wildlife inhabiting the forests surrounding our partner villages. Often, conventional techniques such as using camera traps, transects, and audio counts provide inconsequential data that limits the ability to estimate populations for various reclusive wildlife species such as hornbills and wild cats. However, conventional methods to estimate wildlife population parameters, especially in tropical forests, require an intense amount of effort, time, expertise, and funding. ![]() Get the paper!Īs a conservation organization protecting at-risk ecosystems, it is incredibly important for us to understand trends in wildlife populations in our project sites in a quick, reliable, and cost-effective manner. Leveraging local knowledge to estimate wildlife densities using the PLEO method Submitted by editor on 19 April 2021. ![]()
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