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Acoustic Indices as Key Biodiversity Indicators in Agroforestry Systems

SSRN, ISSN: 1556-5068
2024
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Article Description

Agroforestry systems are widely recognised for their positive impacts on biodiversity. Despite numerous claims of biodiversity benefits, many agroforestry projects lack scalable and cost-effective monitoring methods. This study investigated the feasibility of using acoustic indices derived from recordings in coffee agroforestry systems in El Salvador as a cost-effective monitoring tool for agroforestry systems (AFS). Our results show that the Acoustic Complexity Index (ACI) and the High-Frequency Cover (HFC) index were most effective in reflecting vocal communities. In particular, the ACI showed a high correlation with bird richness at dawn, the time period of peak bird activity (R2=0.72). The ACI did not show correlations with stand structures, whereas bird richness showed correlations with mean tree diameter and tree richness at the plot level. HFC correlated significantly with mean plot level tree diameter and reflected the presence of insects stridulating in high frequency ranges. These results suggest that selected and validated acoustic indices are a promising and cost-effective proxies to track changes in biodiversity in agroforestry systems.

Bibliographic Details

Connor Kahlau; Thomas Asbeck; Till Pistorius; Sandra Müller

Elsevier BV

Multidisciplinary; Ecoacoustics; Agroforestry; Acoustic complexity index (ACI); High frequency cover index (HFC); Bird richness

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