Impact of invasive marmosets (Primates, Callitrichidae) on bird acoustic diversity in a large neotropical urban forest

Zaluar, Marina T.; Tardin, Rodrigo H.; Llusia, Diego; Niemeyer, Julia; Ribeiro, Milton Cézar; Vale, Mariana M.

doi:10.1007/s10530-022-02748-z

Cited by 4 publications

(1 citation statement)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The latter recorded high correlations between certain indices and biotic measures but found that index values were similarly sensitive to human activity, obscuring the effectiveness of given indices as biodiversity surveying tools (Fairbrass et al 2017). Other studies have employed acoustic indices to monitor other aspects of urban environments, such as habitat condition, anthropogenic noise influence or the impact of introduced species on acoustic diversity (Fuller et al 2015;Fairbrass et al 2019;Benocci et al 2021;Zaluar et al 2022). Recently, Holgate et al (2021) were able to map biodiversity hotspots in a peri-urban landscape in Australia using an acoustic index.…”

Section: Urban Biodiversity and Soundscapesmentioning

confidence: 99%

Of acoustics and avifauna: An integrative approach to avian ecology across the Southern Hemisphere

Becker¹

View full text Add to dashboard Cite

Ecological monitoring is taking on greater significance as we try to better understand and mitigate anthropogenic impacts on Earth’s ecosystems and species. This has led to the development of more effective avenues of ecological inference and means to inform them. These include birds and their ecology, which often represent wider ecological processes reliably. Birds are also relatively easily observable, and not just visually. Vocalising taxa, like birds, are suitable subjects for acoustic monitoring. This compatibility has drawn increased focus to interdisciplinarity and integrated approaches to ecological research. In this thesis, I aimed to adopt an integrated approach to avian ecology in different ecosystems across the Southern Hemisphere, with an emphasis on (but not restricted to) acoustic monitoring. As an introductory study, I conducted a systematic review of bioacoustics literature from Africa, which, as a continent, is particularly well suited for acoustics-based biodiversity research. I reviewed 727 publications, dating back to 1953. My analyses revealed an overall exponential increase in bioacoustics research output, but notable underrepresentation of non-mammalian, non-terrestrial, conservation/human impact, and African-led studies. My results help illustrate the potential for expanding the field of bioacoustics on several levels across Africa. Following this, I used multi-year data (2013-2018) from bird surveys in a flood-pulsed dryland wetland in southern Africa to assess the responses of seven functional groups of wetland-dependent bird to varying (remotely sensed) inundation levels and fire frequencies. I used generalised additive modelling to help predict these responses, in an attempt to relate hydrological fluctuations to ecological processes along the central channel system of Botswana’s Okavango Delta. My models robustly predicted trait-based responses of wetland-dependent birds in the delta’s interior and showcase an avenue for long-term ecological monitoring in dryland wetland systems, to support management and mitigation efforts. Finally, I used data collected from passive acoustic monitoring (PAM) and camera trap surveys to investigate the determinants of functional, phylogenetic, and taxonomic structures of bird communities in urban forest patches across Wellington City in Aotearoa New Zealand. These determinants were broadly divided into (1) forest patch characteristics and (2) relative predator abundances. I identified older forest stands, distance to a sizable ecosanctuary, and cat, possum, and rat (Rattus spp.) abundances as key determinants of urban forest bird community structures. This study presents further evidence of how functional and phylogenetic community measures can be driven by different determinants compared to taxonomic metrics. I highlight the value of these findings in an urban conservation and ecological restoration context and evaluate the use of acoustically derived bird species richness appraisal tools in urban forest habitats. My thesis demonstrates how an integrated approach to avian ecology can help track ecological integrity and inform conservation strategies in a rapidly changing world.

show abstract

Section: Urban Biodiversity and Soundscapesmentioning

confidence: 99%

Of acoustics and avifauna: An integrative approach to avian ecology across the Southern Hemisphere

Becker¹

View full text Add to dashboard Cite

show abstract

An integrated passive acoustic monitoring and deep learning pipeline for black‐and‐white ruffed lemurs (Varecia variegata) in Ranomafana National Park, Madagascar

Batist,

Dufourq,

Jeantet

et al. 2024

American J Primatol

View full text Add to dashboard Cite

The urgent need for effective wildlife monitoring solutions in the face of global biodiversity loss has resulted in the emergence of conservation technologies such as passive acoustic monitoring (PAM). While PAM has been extensively used for marine mammals, birds, and bats, its application to primates is limited. Black‐and‐white ruffed lemurs (Varecia variegata) are a promising species to test PAM with due to their distinctive and loud roar‐shrieks. Furthermore, these lemurs are challenging to monitor via traditional methods due to their fragmented and often unpredictable distribution in Madagascar's dense eastern rainforests. Our goal in this study was to develop a machine learning pipeline for automated call detection from PAM data, compare the effectiveness of PAM versus in‐person observations, and investigate diel patterns in lemur vocal behavior. We did this study at Mangevo, Ranomafana National Park by concurrently conducting focal follows and deploying autonomous recorders in May–July 2019. We used transfer learning to build a convolutional neural network (optimized for recall) that automated the detection of lemur calls (57‐h runtime; recall = 0.94, F1 = 0.70). We found that PAM outperformed in‐person observations, saving time, money, and labor while also providing re‐analyzable data. Using PAM yielded novel insights into V. variegata diel vocal patterns; we present the first published evidence of nocturnal calling. We developed a graphic user interface and open‐sourced data and code, to serve as a resource for primatologists interested in implementing PAM and machine learning. By leveraging the potential of this pipeline, we can address the urgent need for effective primate population surveys to inform conservation strategies.

show abstract

The Goldilocks Dilemma: the optimal management strategy for invasive trees in the Atlantic Forest

Abreu,

Rodrigues

2024

Biol Invasions

View full text Add to dashboard Cite

Impact of invasive marmosets (Primates, Callitrichidae) on bird acoustic diversity in a large neotropical urban forest

Cited by 4 publications

References 53 publications

Of acoustics and avifauna: An integrative approach to avian ecology across the Southern Hemisphere

Of acoustics and avifauna: An integrative approach to avian ecology across the Southern Hemisphere

An integrated passive acoustic monitoring and deep learning pipeline for black‐and‐white ruffed lemurs (Varecia variegata) in Ranomafana National Park, Madagascar

The Goldilocks Dilemma: the optimal management strategy for invasive trees in the Atlantic Forest

Contact Info

Product

Resources

About