Echolocation Calls of Bats from Madeira Island: Acoustic Characterization and Implications for Surveys

Teixeira, Sérgio Jesus; Jesús, José

doi:10.3161/150811009x465802

Cited by 13 publications

(11 citation statements)

References 32 publications

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“…Similar analyses on acoustic identification have been performed previously, though the majority have taken place in Europe (e.g., Parsons and Jones, 2000;Teixeira and Jesus, 2009). However no previous studies of bat species identification based on acoustic parameters (for species producing calls dominated by frequency modulated components) have yet been published for Thailand with the closest studies spatially undertaken on samples of species in China (Sun et al, 2008), Singapore (Pottie et al, 2005) and Malaysia (Kingston et al, 2003;Kingston and Rossiter, 2004).…”

Section: Introductionmentioning

confidence: 78%

Using Echolocation Calls to Identify Thai Bat Species: Vespertilionidae, Emballonuridae, Nycteridae and Megadermatidae

Hughes

Satasook²,

Bates³

et al. 2011

Acta Chiropterologica

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Section: Introductionmentioning

confidence: 78%

Using Echolocation Calls to Identify Thai Bat Species: Vespertilionidae, Emballonuridae, Nycteridae and Megadermatidae

Hughes

Satasook²,

Bates³

et al. 2011

Acta Chiropterologica

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“…The most commonly used tools for quantitative acoustic differentiation between species are parametric models such as discriminant function analysis or logistic regression (Biscardi, Orprecio, Fenton, Tsoar, & Ratcliffe, ; Oswald et al, ; Smith, Newman, Hoffman, & Fetterly, ; Steiner, ; Teixeira & Jesus, ; Vaughan, Jones, & Harris, ). Newer nonparametric models such as k ‐nearest neighbor and neural networks have also been successful at species classification (Britzke, Duchamp, Murray, Swihhart, & Robbins, ; Parsons, ; Redgwell, Szewczak, Jones, & Parsons, ).…”

Section: Introductionmentioning

confidence: 99%

Quantitative acoustic differentiation of cryptic species illustrated with King and Clapper rails

Stiffler

Schroeder

Anderson

et al. 2018

Ecology and Evolution

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Reliable species identification is vital for survey and monitoring programs. Recently, the development of digital technology for recording and analyzing vocalizations has assisted in acoustic surveying for cryptic, rare, or elusive species. However, the quantitative tools that exist for species differentiation are still being refined. Using vocalizations recorded in the course of ecological studies of a King Rail (Rallus elegans) and a Clapper Rail (Rallus crepitans) population, we assessed the accuracy and effectiveness of three parametric (logistic regression, discriminant function analysis, quadratic discriminant function analysis) and six nonparametric (support vector machine, CART, Random Forest, k‐nearest neighbor, weighted k‐nearest neighbor, and neural networks) statistical classification methods for differentiating these species by their kek mating call. We identified 480 kek notes of each species and quantitatively characterized them with five standardized acoustic parameters. Overall, nonparametric classification methods outperformed parametric classification methods for species differentiation (nonparametric tools were between 57% and 81% accurate, parametric tools were between 57% and 60% accurate). Of the nine classification methods, Random Forest was the most accurate and precise, resulting in 81.1% correct classification of kek notes to species. This suggests that the mating calls of these sister species are likely difficult for human observers to tell apart. However, it also implies that appropriate statistical tools may allow reasonable species‐level classification accuracy of recorded calls and provide an alternative to species classification where other capture‐ or genotype‐based survey techniques are not possible.

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“…Pipistrellus maderensis represents one of the endangered endemic pipistrelle species found in insular habitats. This small insectivorous bat inhabits the Atlantic islands of Madeira and Porto Santo, the Azores, and the Canary Islands [60,61,[64][65][66][67]. While we have a good understanding of its distribution in Madeira [50,61,64] and the Canary Islands [68,69], there are significant gaps in our knowledge regarding its presence in the Azores (but see [60,70,71].…”

Section: Introductionmentioning

confidence: 99%

Unveiling the Potential Distribution of the Highly Threatened Madeira Pipistrelle (Pipistrellus maderensis): Do Different Evolutionary Significant Units Exist?

Teixeira

Smeraldo

Russo

2023

Biology

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The isolation of islands has played a significant role in shaping the unique evolutionary histories of many species of flora and fauna, including bats. One notable example is the Madeira pipistrelle (Pipistrellus maderensis), which inhabits the Macaronesian archipelagos of the Azores, Madeira, and the Canary Islands. Despite the high biogeographic and conservation importance of this species, there is limited information on its ecology and evolutionary history across different archipelagos. In our study, we employed species distribution models (SDMs) to identify suitable habitats for the Madeira pipistrelle and determine the environmental factors influencing its distribution. Additionally, we conducted molecular comparisons using mitochondrial DNA data from various Macaronesian islands. Molecular analyses provided compelling evidence for the presence of distinct Evolutionary Significant Units on the different archipelagos. We identified distinct haplotypes in the populations of Madeira and the Canary Islands, with a genetic distance ranging from a minimum of 2.4% to a maximum of 3.3% between samples from different archipelagos. In support of this, SDMs highlighted relevant dissimilarities between the environmental requirements of the populations of the three archipelagos, particularly the climatic niche. Our research demonstrates that deeper investigations that combine ecological, morphological, and genetic areas are necessary to implement tailored conservation strategies.

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Echolocation Calls of Bats from Madeira Island: Acoustic Characterization and Implications for Surveys

Cited by 13 publications

References 32 publications

Using Echolocation Calls to Identify Thai Bat Species: Vespertilionidae, Emballonuridae, Nycteridae and Megadermatidae

Using Echolocation Calls to Identify Thai Bat Species: Vespertilionidae, Emballonuridae, Nycteridae and Megadermatidae

Quantitative acoustic differentiation of cryptic species illustrated with King and Clapper rails

Unveiling the Potential Distribution of the Highly Threatened Madeira Pipistrelle (Pipistrellus maderensis): Do Different Evolutionary Significant Units Exist?

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