New record and dietary ecology of a poorly known amphibian species, Micryletta menglienica (Yang and Su, 1980), from Vietnam

Recent field surveys revealed a new population of the Menglian Paddy Frog (Micryletta menglienica) from Son La Province, northwestern Vietnam based on molecular and morphological analyses. The species has been listed as “Data Deficient” in the IUCN Red List. To date, knowledge about the natural history of this species is scarce, including data on its dietary ecology. Using the stomach-flushing method, we analyzed stomach contents of 45 individuals (21 males and 24 females) from a total of 52 captured frogs because stomachs of six males and one female (13.5%) were empty. The food spectrum of M. menglienica comprises 12 types of 691 prey items (687 invertebrate items and four unidentified items), belonging to six insect orders, larvae and Araneae. Similar to other species of the family Microhylidae, M. menglienica is also identified as an ant (Formicidae) – termite (Rhinotermitidae) eating specialist with distinctly higher percentages of occurrence frequency (F = 65 %), number of prey items (N = 80 %), and importance (Ix = 75 %) than those of remaining types. The Simpson diversity index of 0.939 shows a high abundance of food prey in the wild, and the Evenness index of 0.536 suggests biased consumption of feeding selection for M. menglienica.

Authors

Institutions

Publication Details

Journal
Acta Herpetologica
Published
2025-05-06
DOI
https://doi.org/10.36253/a_h-16116
Primary Topic
Amphibian and Reptile Biology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

New record and dietary ecology of a poorly known amphibian species, Micryletta menglienica (Yang and Su, 1980), from Vietnam

Truong Quang Nguyen, Hai Ngoc Ngo, Nenh Ba Sung, Anh Ho et al.
1 links
Acta Herpetologica
Amphibian and Reptile Biology
article

New record and dietary ecology of a poorly known amphibian species, Micryletta menglienica (Yang and Su, 1980), from Vietnam

Truong Quang Nguyen, Hai Ngoc Ngo, Nenh Ba Sung, Anh Ho, Anh Van Pham, Minh Đức Lê, Thuy Van Tran
article en

Abstract

Recent field surveys revealed a new population of the Menglian Paddy Frog (Micryletta menglienica) from Son La Province, northwestern Vietnam based on molecular and morphological analyses. The species has been listed as “Data Deficient” in the IUCN Red List. To date, knowledge about the natural history of this species is scarce, including data on its dietary ecology. Using the stomach-flushing method, we analyzed stomach contents of 45 individuals (21 males and 24 females) from a total of 52 captured frogs because stomachs of six males and one female (13.5%) were empty. The food spectrum of M. menglienica comprises 12 types of 691 prey items (687 invertebrate items and four unidentified items), belonging to six insect orders, larvae and Araneae. Similar to other species of the family Microhylidae, M. menglienica is also identified as an ant (Formicidae) – termite (Rhinotermitidae) eating specialist with distinctly higher percentages of occurrence frequency (F = 65 %), number of prey items (N = 80 %), and importance (Ix = 75 %) than those of remaining types. The Simpson diversity index of 0.939 shows a high abundance of food prey in the wild, and the Evenness index of 0.536 suggests biased consumption of feeding selection for M. menglienica.

Acta HerpetologicaVol. 20(1)
Vietnam National University Ho Chi Minh City (VN), Tay Bac University (VN), Vietnam Academy of Science and Technology (VN)
Openalex Percentile: Top 90%
Amphibian and Reptile Biology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.