Using local ecological knowledge to determine status and threats of the Critically Endangered Chinese pangolin (Manis pentadactyla) in Hainan, China

By Helen C. Nash, M. Wong, S. Turvey. 2016

114 citations recorded by the source corpus.

Abstract The use of robust ecological data to make evidence-based management decisions for highly threatened species is often limited by data availability, and local ecological knowledge (LEK) is increasingly seen as an important source of information for conservation. Pangolins are now the most heavily trafficked mammals in illegal wildlife trade, and Chinese pangolins ( Manis pentadactyla ) are Critically Endangered, with no recent baseline data available to assess status of pangolin populations in China. We conducted community-based interviews across seven protected areas in Hainan, China, to investigate whether LEK can provide novel insights for pangolin conservation. LEK of pangolins remains high in Hainan (90% of respondents recognize pangolins and can provide supporting information), and pangolins are likely to survive in all protected areas that were surveyed, as evidenced by recent sightings dating from 2013 to 2015. However, all populations have declined and are now perceived to be of very low abundance (only 34% of respondents consider pangolins to remain locally present, and these respondents all regard pangolins as rare). Illegal hunting continues across this region, with pangolin body parts used locally and sold to outsiders. Pangolins are likely to soon become extirpated across Hainan unless effective conservation management plans can be initiated. Methods to monitor and assess pangolin status and threats are urgently required across all range states, and we demonstrate that large-scale LEK surveys can strengthen the evidence-base for informing robust conservation action and management plans for these species.

Subfields: Ecological Modeling, Ecology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/38c2c995a6990613318ba2edf1633d59166e1e44

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Helen C. Nash
2. D. Willcox
3. Scott J. Trageser
4. Hyeon Jeong Kim
5. Lisa Hywood
6. Ellen Connelly
7. Godwill Ichu Ichu
8. Jonas Kambale Nyumu

Citations in the corpus

• Evaluating methods for detecting and monitoring pangolin (Pholidata: Manidae) populations (2019, background): “Caution is also needed when using and interpreting local names (Stevens et al., 2014) as single species may have several names (e.g., Nash et al., 2016).”