Effects of Landscape Heterogeneity at Multiple Spatial Scales on Paddy field-breeding Frogs in a Large Alluvial Plain in Japan

Matsushima, Noe; Hasegawa, Masami; Nishihiro, Jun

doi:10.1007/s13157-022-01607-w

Cited by 4 publications

(3 citation statements)

References 46 publications

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“…The species has been recorded up to 180 m a.s.l. [62]. For P. porosus, precipitation of the coldest quarter was the only significant variable contributing to the model, indicating a preference for wetter winter conditions.…”

Section: Ecologymentioning

confidence: 92%

Understanding the Distribution, Behavioural Ecology, and Conservation Status of Asian Pelophylax

Amin,

Borzée

2024

Diversity

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Understanding species from an ecological and phylogenetic perspective facilitates an understanding of their conservation status in relation to the changing world. The frog genus Pelophylax is among the largest in terms of amphibian biomass in the Palearctic, but species have not been thoroughly studied at the Asian continental scale. The phylogeographic relationship, behavioural ecology, and ecological requirements within the genus need clarification, despite generally good local coverage. Here, for the first time, we conducted a literature review focused on phylogeography and behavioural ecology, supported by ecological niche modelling of twelve Asian Pelophylax lineages. Finally, we compiled the known threats for each of the lineages. We first determined the presence of twelve species and species-candidate lineages. In terms of behavioural ecology, the main difference among lineages is the time to metamorphosis and the time to reach sexual maturity. The ecological models highlighted a match between the known presence of each clade and their suitable habitat and highlighted the Syr Darya drainage on the eastern shore of the Caspian Sea for the non-described Pelophylax “Syr Darya lineage”. Finally, we highlighted the greatest variation among lineages in terms of threats, as some lineages are threatened by numerous factors, whereas others are expanding.

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Section: Ecologymentioning

confidence: 92%

Understanding the Distribution, Behavioural Ecology, and Conservation Status of Asian Pelophylax

Amin,

Borzée

2024

Diversity

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“…We conducted regression analysis for both the number of males and amplexing pairs to assess whether acoustics can be used to monitor male vocalization as well as actual breeding events. To quantify the calling activity, the trained ResNet18 model was used to count the number of audio segments containing calls of the target species (the number of call segments; Matsushima et al, 2022). The model was applied to all the spectrograms generated from the field recordings, and then the presence or absence of the calls of each target species was recorded.…”

Section: Methodsmentioning

confidence: 99%

“…To quantify the calling activity, the trained ResNet18 model was used to count the number of audio segments containing calls of the target species (the number of call segments; Matsushima et al, 2022). The model was applied to all the spectrograms generated from the field recordings, and then the presence or absence of the calls of each target species was recorded.…”

Section: Statistical Analysis: Correlation Between Calling Activity A...mentioning

confidence: 99%

Evaluation of Deep Learning-Based Monitoring of Frog Reproductive Phenology

Kimura,

Sota

2023

Ichthyology & Herpetology

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To evaluate the utility of a deep-learning approach for monitoring amphibian reproduction, we examined the classification accuracy of a trained model and tested correlations between calling intensity and frog abundance. Field recording and count surveys were conducted at two sites in Kyoto City, Japan. A convolutional neural network (CNN) model was trained to classify the calls of five anuran species. The model achieved 91-100% precision and 75-98% recall per species, with relatively lower performance on less abundant species. Computational experiments investigating the effects of the number and seasonality of the training samples showed that models trained on larger datasets from broader recording seasons performed better. Calling activity was high when males were abundant (Pearson's r 5 0.45-0.66), although correlations between the calling activity and the number of pairs in amplexus were generally weaker. Our results suggest that deep learning is an effective tool for reconstructing the reproductive phenology of male anurans from field recordings. However, caution is required when applying to rare species and when inferring female reproductive activity.

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Survey of the distribution of various frog species in each paddy field, focusing on spatial autocorrelation

Niwa,

Uno

2023

Eur J Wildl Res

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Effects of Landscape Heterogeneity at Multiple Spatial Scales on Paddy field-breeding Frogs in a Large Alluvial Plain in Japan

Cited by 4 publications

References 46 publications

Understanding the Distribution, Behavioural Ecology, and Conservation Status of Asian Pelophylax

Understanding the Distribution, Behavioural Ecology, and Conservation Status of Asian Pelophylax

Evaluation of Deep Learning-Based Monitoring of Frog Reproductive Phenology

Survey of the distribution of various frog species in each paddy field, focusing on spatial autocorrelation

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