| Literature DB >> 31719776 |
Siriporn Yodthong1, Bryan L Stuart2, Anchalee Aowphol1.
Abstract
The taxonomy and geographic distributions of species of crab-eating frogs (Fejervarya cancrivora complex) in mainland Southeast Asia have been highly uncertain. Three taxonomic names are used in recent literature (F. cancrivora, F. raja, and F. moodiei) but the applications of these names to localities has been inconsistent, especially owing to the lack of available molecular data for F. raja. Morphometric and mitochondrial DNA variation was examined in these frogs, including name-bearing types and topotypes of all three species. Findings corroborate evidence for the existence of two species in coastal mainland Southeast Asia, with F. moodiei having a wide geographic distribution and F. cancrivora sensu stricto occurring only in extreme southern Thailand and peninsular Malaysia. Fejervarya raja is shown to be only a large-bodied population of F. cancrivora sensu stricto and is synonymized with that species. Revised descriptions of F. moodiei and F. cancrivora sensu stricto are provided. Siriporn Yodthong, Bryan L. Stuart, Anchalee Aowphol.Entities:
Keywords: Amphibia ; Dicroglossidae ; cryptic species; systematics; taxonomy
Year: 2019 PMID: 31719776 PMCID: PMC6828825 DOI: 10.3897/zookeys.883.37544
Source DB: PubMed Journal: Zookeys ISSN: 1313-2970 Impact factor: 1.546
Figure 1.Map of sampling localities of the complex, including neotype (yellow pentagon), sensu stricto (yellow circles), holotype (blue diamond), (blue triangles), and samples that were referred to (red circles) prior to this study. Open symbols indicate molecular data only, shaded symbols indicate morphological data only, and shaded symbols with center dots indicate both molecular and morphological data were studied.
Specimens of used in (A) molecular and/or (B) morphological analyses.
| Species identification | Locality | Museum No. | GenBank Acession No. | Type of analyses | Reference | |
|---|---|---|---|---|---|---|
| Previous study | This study | |||||
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| Manila, Luzon, Philippines | – | B | This study | ||
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| Malaysia | – | B | This study | |
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| Northern Luzon | – | B | This study | |
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| Northern Luzon | – | B | This study | |
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| Chonburi, Thailand | – | B | This study | |
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| Mueang Surat Thani, Surat Thani, Thailand | – | B | This study | |
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| Moo Ko Chumphon National Park, Chumphon, Thailand | – | B | This study | |
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| Moo Ko Chumphon National Park, Chumphon, Thailand | – | B | This study | |
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| Moo Ko Chumphon National Park, Chumphon, Thailand | – | B | This study | |
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| Ko Libong, Trang, Thailand | – | B | This study | |
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| Songkhla lake, Songkhla, Thailand | – | B | This study | |
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| Songkhla lake, Phatthalung, Thailand | – | B | This study | |
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| Kleang, Rayong, Thailand | – | B | This study | |
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| Kleang, Rayong, Thailand | – | B | This study | |
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| Kleang, Rayong, Thailand | – | B | This study | |
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| Kleang, Rayong, Thailand | – | B | This study | |
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| Mueang Trat, Trat, Thailand | – | B | This study | |
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| Tak Bai, Narathiwat, Thailand | – | B | This study | |
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| Tak Bai, Narathiwat, Thailand | – | B | This study | |
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| Tak Bai, Narathiwat, Thailand | – | B | This study | |
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| Tak Bai, Narathiwat, Thailand | – | B | This study | |
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| Suk Samran, Ranong, Thailand | – | B | This study | |
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| Suk Samran, Ranong, Thailand | – | B | This study | |
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| Suk Samran, Ranong, Thailand | – | B | This study | |
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| Sam Roi Yot, Prachuap Khiri Khan, Thailand |
| A | This study | |
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| Sam Roi Yot, Prachuap Khiri Khan, Thailand |
| A, B | This study | |
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| Sam Roi Yot, Prachuap Khiri Khan, Thailand |
| A | This study | |
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| Sam Roi Yot, Prachuap Khiri Khan, Thailand | – | B | This study | |
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| Kraburi, Ranong, Thailand |
| A, B | This study | |
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| Kraburi, Ranong, Thailand |
| A, B | This study | |
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| Mueang, Phuket, Thailand | – | B | This study | |
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| Mueang, Phuket, Thailand |
| A | This study | |
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| Mueang, Phuket, Thailand |
| A, B | This study | |
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| Ko Samui, Surat Thani, Thailand |
| A, B | This study | |
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| Ko Samui, Surat Thani, Thailand | – | B | This study | |
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| Ko Samui, Surat Thani, Thailand |
| A, B | This study | |
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| Mueang Phang-nga, Phang-nga, Thailand |
| A, B | This study | |
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| Mueang Phang-nga, Phang-nga, Thailand |
| A, B | This study | |
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| Mueang Phang-nga, Phang-nga, Thailand |
| A, B | This study | |
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| Mueang Phang-nga, Phang-nga, Thailand | – | B | This study | |
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| Mueang Phuket, Phuket, Thailand |
| A, B | This study | |
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| Mueang Phuket, Phuket, Thailand | – | B | This study | |
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| Mueang Phuket, Phuket, Thailand | – | B | This study | |
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| Ko Lanta, Krabi, Thailand |
| A, B | This study | |
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| Ko Lanta, Krabi, Thailand | – | B | This study | |
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| Ko Lanta, Krabi, Thailand |
| A | This study | |
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| Ko Lanta, Krabi, Thailand |
| A | This study | |
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| Khanom, Nakhon Si Thammarat, Thailand | – | B | This study | |
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| Ko Chang, Trat, Thailand |
| A, B | This study | |
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| Ko Chang, Trat, Thailand |
| A, B | This study | |
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| Ko Chang, Trat, Thailand |
| A, B | This study | |
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| Ko Chang, Trat, Thailand | – | B | This study | |
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| Pak Phanang, Nakhon Si Thammarat, Thailand |
| A, B | This study | |
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| Pak Phanang, Nakhon Si Thammarat, Thailand | – | B | This study | |
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| Pak Phanang, Nakhon Si Thammarat, Thailand | – | B | This study | |
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| Pak Phanang, Nakhon Si Thammarat, Thailand |
| A, B | This study | |
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| Pak Phanang, Nakhon Si Thammarat, Thailand |
| A, B | This study | |
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| Kraburi, Ranong, Thailand |
| A, B | This study | |
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| Kraburi, Ranong, Thailand | – | B | This study | |
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| Mueang Krabi, Krabi, Thailand | – | B | This study | |
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| Mueang Krabi, Krabi, Thailand | – | B | This study | |
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| Kui Buri, Prachuap Khiri Khan, Thailand | – | B | This study | |
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| La-ngu, Satun, Thailand |
| A, B | This study | |
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| La-ngu, Satun, Thailand | – | B | This study | |
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| La-ngu, Satun, Thailand |
| A, B | This study | |
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| La-ngu, Satun, Thailand |
| A, B | This study | |
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| Kleang, Rayong, Thailand |
| A, B | This study | |
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| Kleang, Rayong, Thailand |
| A, B | This study | |
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| Manila, Philippines | – |
| A |
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| Negros Island, Philippines | – |
| A |
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| Hainan, China | – |
| A |
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| Dacope, Khulna, Bangladesh | – |
| A |
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| Teknaf, Cox’s Bazar, Bangladesh | – |
| A |
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| Cianjur, Java, Indonesia | – |
| A |
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| Padang, Sumatra, Indonesia | – |
| A |
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| Selangor, Malaysia | – |
| A |
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| Bogor, Java, Indonesia | – |
| A |
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| Banyumas, Java, Indonesia | – |
| A |
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| Malang, East Java, Indonesia | – |
| A |
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| Denpasar, Bali, Indonesia | – |
| A |
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| Cianjur, Java, Indonesia | – | B | This study | ||
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| Java, Indonesia | – | B | This study | |
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| Java, Indonesia | – | B | This study | |
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| Java, Indonesia | CMNH 161102 | – | B | This study |
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| Java, Indonesia | – | B | This study | |
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| Java, Indonesia | – | B | This study | |
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| Java, Indonesia | – | B | This study | |
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| Nakhon Si Thammarat, Thailand | – | B | This study | |
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| Phatthalung, Thailand | – | B | This study | |
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| Phatthalung, Thailand | – | B | This study | |
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| Phatthalung, Thailand | – | B | This study | |
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| Phatthalung, Thailand | – | B | This study | |
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| Phatthalung, Thailand | – | B | This study | |
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| Songkhla, Thailand | – | B | This study | |
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| Songkhla, Thailand | – | B | This study | |
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| Nong Chick, Pattani, Thailand | – | B | This study | |
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| Su-Ngai Kolok, Narathiwat, Thailand | – | B | This study | |
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| Tak Bai, Narathiwat, Thailand | – | B | This study | |
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| Tak Bai, Narathiwat, Thailand | – | B | This study | |
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| Tak Bai, Narathiwat, Thailand | – | B | This study | |
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| Tak Bai, Narathiwat, Thailand | – | B | This study | |
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| Tak Bai, Narathiwat, Thailand | – | B | This study | |
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| Tak Bai, Narathiwat, Thailand | – | B | This study | |
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| Tak Bai, Narathiwat, Thailand | – | B | This study | |
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| Pak Phayun, Phatthalung, Thailand | – | B | This study | |
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| Pak Phayun, Phatthalung, Thailand | – | B | This study | |
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| Pak Phayun, Phatthalung, Thailand | – | B | This study | |
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| Pak Phayun, Phatthalung, Thailand | – | B | This study | |
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| Pak Phayun, Phatthalung, Thailand | – | B | This study | |
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| Su-Ngai Kolok, Narathiwat, Thailand | – | B | This study | |
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| Nong Chick, Pattani, Thailand | – | B | This study | |
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| Pak Phanang, Nakhon Si Thammarat, Thailand | – | B | This study | |
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| Khuan Khanun, Phatthalung, Thailand |
| A | This study | |
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| Khuan Khanun, Phatthalung, Thailand |
| A, B | This study | |
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| Khuan Khanun, Phatthalung, Thailand | – | B | This study | |
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| Khuan Khanun, Phatthalung, Thailand |
| A | This study | |
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| Khuan Khanun, Phatthalung, Thailand |
| A, B | This study | |
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| Khuan Khanun, Phatthalung, Thailand | – | B | This study | |
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| Khuan Khanun, Phatthalung, Thailand |
| A, B | This study | |
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| Khuan Khanun, Phatthalung, Thailand | – | B | This study | |
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| Pak Phanang, Nakhon Si Thammarat, Thailand |
| A, B | This study | |
|
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| Pak Phanang, Nakhon Si Thammarat, Thailand | – | B | This study | |
|
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| Pak Phanang, Nakhon Si Thammarat, Thailand |
| A, B | This study | |
|
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| Pak Phanang, Nakhon Si Thammarat, Thailand | – | B | This study | |
|
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| Pak Phanang, Nakhon Si Thammarat, Thailand |
| A, B | This study | |
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| Pak Phanang, Nakhon Si Thammarat, Thailand | – | B | This study | |
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| Pak Phanang, Nakhon Si Thammarat, Thailand | – | B | This study | |
| Pelabuhan ratu, Java, Indonesia | – |
| A |
| ||
| Makassar, Sulawesi, Indonesia | – |
| A |
| ||
| Makassar, Sulawesi, Indonesia | – |
| A |
| ||
|
| Selatan, Sulawesi, Indonesia | – |
| A |
| |
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| Malang, Java, Indonesia | – |
| A |
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| Java, Indonesia | – |
| A |
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| Yunan, China | – |
| A |
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| Quezon, Luzon Island, Philippines | – |
| A |
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| Mangalore, India | – |
| A |
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| Surat Thani, Thailand | – |
| A |
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|
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| Kuala Lumpur, Malaysia | – |
| A |
|
Figure 2.Bayesian consensus phylogram of the mitochondrial16S rRNA gene of and the closely related species, and . Numbers at nodes represent Bayesian posterior probability support values. Clade and subclade names are presented next to branches and group names are presented to the right of terminal taxa.
Uncorrected pairwise sequence divergences (p-distances) in the mitochondrial 16S rRNA gene of and related species. Mitochondrial subclades A1, A2, B1, and B2 are defined in the text.
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| – | |||||||
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| (12.8) | – | ||||||
| 12.8 | ||||||||
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| (12.1–12.7) | (0.2–0.4) | (0.9) | |||||
| 12.4 | 0.3 | 0.9 | ||||||
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| (16.2) | (12.2) | (11.7–13.5) | – | ||||
| 16.2 | 12.2 | 12.6 | ||||||
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| (17.8–18.2) | (13.7–13.9) | (13.4–15.0) | (11.4–12.3) | (0.0–1.6) | |||
| 18.0 | 13.8 | 13.9 | 11.5 | 0.4 | ||||
|
| (14.3–18.6) | (13.9–14.2) | (13.4–14.8) | (9.5–12.9) | (0.9–3.4) | (0.0–1.6) | ||
| 17.4 | 14.1 | 14.0 | 11.7 | 1.7 | 0.4 | |||
|
| (12.5–17.1) | (13.9–14.3) | (13.4–15.1) | (10.7–12.8) | (8.8–10.7) | (8.3–11.1) | (0.0–1.4) | |
| 15.5 | 13.7 | 14.1 | 11.9 | 9.7 | 9.3 | 0.3 | ||
|
| (10.9–12.5) | (12.8–13.7) | (12.3–13.5) | (9.5–10.2) | (9.8–11.0) | (8.9–11.0) | (4.5–7.9) | (0.6–6.0) |
| 11.7 | 13.4 | 13.2 | 9.8 | 10.5 | 9.3 | 6.5 | 3.6 |
Figure 3.Principal component analysis of morphological measurements from males (A) and females (B) of , , and .
Factor loading on the first three principal components of 23 morphological characters for male and female , , and .
| Character | Males | Females | ||||
|---|---|---|---|---|---|---|
|
| 0.395 | -0.829 | -0.211 | 0.136 | -0.921 | -0.008 |
| rHL | 0.614 | 0.462 | -0.306 | 0.628 | 0.230 | 0.254 |
| rHW | 0.795 | -0.093 | -0.262 | 0.660 | -0.445 | 0.297 |
| rSTL | 0.623 | 0.610 | -0.222 | 0.762 | 0.201 | 0.353 |
| rNS | 0.272 | 0.574 | -0.157 | 0.640 | 0.252 | 0.213 |
| rSL | 0.725 | 0.300 | -0.343 | 0.829 | -0.119 | 0.162 |
| rNTL | 0.511 | 0.703 | -0.155 | 0.654 | 0.165 | 0.310 |
| rEN | 0.601 | 0.108 | -0.347 | 0.715 | 0.016 | 0.240 |
| rTEL | 0.376 | -0.236 | -0.255 | 0.329 | -0.589 | -0.243 |
| rTD | -0.211 | 0.744 | -0.213 | 0.199 | 0.570 | 0.149 |
| rIN | 0.166 | -0.041 | -0.319 | 0.562 | -0.185 | 0.136 |
| rEL | -0.279 | 0.767 | 0.100 | 0.064 | 0.820 | 0.128 |
| rIOD | -0.278 | 0.659 | 0.431 | 0.055 | 0.628 | -0.356 |
| rUEW | 0.132 | 0.176 | -0.556 | 0.104 | 0.286 | 0.575 |
| rHAL | 0.549 | 0.358 | 0.487 | 0.701 | 0.285 | -0.447 |
| rFAL | 0.157 | 0.408 | 0.538 | 0.422 | 0.074 | -0.325 |
| rTHIGHL | 0.768 | -0.128 | -0.138 | 0.675 | -0.136 | 0.146 |
| rTL | 0.815 | -0.384 | -0.106 | 0.760 | -0.281 | 0.208 |
| rFOL | 0.775 | -0.011 | 0.421 | 0.800 | 0.055 | -0.250 |
| rTFOL | 0.766 | -0.249 | 0.382 | 0.766 | -0.164 | -0.135 |
| r1FL | 0.481 | -0.163 | 0.664 | 0.657 | 0.110 | -0.578 |
| rIMTL | 0.436 | 0.034 | 0.252 | 0.478 | 0.089 | -0.383 |
| rITL | 0.674 | -0.029 | 0.466 | 0.758 | 0.064 | -0.373 |
| Elegenvalue | 6.807 | 4.420 | 2.860 | 8.112 | 3.337 | 2.146 |
| Percentage of variance | 29.595 | 19.218 | 12.435 | 35.268 | 14.508 | 9.331 |
| Cumulative proportion | 29.595 | 48.813 | 61.248 | 35.268 | 49.776 | 59.107 |
Comparisons of body sizes of and . Data are given as mean and standard deviation, followed by range in parentheses. Key: a tested by Mann-Whitney U test, * significance level at p < 0.05.
| Characters | Males | Females | ||||||
|---|---|---|---|---|---|---|---|---|
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|
| 71.3 ± 5.6 | 51.4 ± 5.4 | -13.826 | < 0.0001* | 94.2 ± 6.5 | 69.0 ± 10.1 | 0a | < 0.0001* |
| (60.2–79.8) | (42.7–62.7) | (85.1–107.1) | (50.0–81.8) | |||||
| rHL | 40.8 ± 1.8 | 39.9 ± 1.7 | 340a | 0.0692 | 39.6 ± 2.4 | 39.4 ± 1.7 | 201.5a | 0.4953 |
| (36.7– 43.5) | (37.2– 44.5) | (35.2–42.9) | (35.9–42.2) | |||||
| rHW | 37.1 ± 1.8 | 34.6 ± 1.1 | -6.553 | < 0.0001* | 38.2 ± 1.6 | 35.6 ± 1.9 | 65.5a | 0.0001* |
| (32.5–40.6) | (32.4–37.1) | (35.0–41.0) | (32.5–38.7) | |||||
| rSTL | 30.3 ± 1.2 | 30.1 ± 1.0 | 414.500a | 0.4609 | 29.9 ± 1.1 | 29.3 ± 1.0 | -1.867 | 0.0684 |
| (27.5–32.1) | (28.5–32.0) | (27.9–31.6) | (27.6–31.3) | |||||
| rNS | 7.2 ± 0.6 | 7.4 ± 0.5 | 1.473 | 0.1460 | 7.3 ± 0.8 | 7.1 ± 0.6 | 177a | 0.2115 |
| (5.9–8.5) | (6.1– 8.8) | (5.4–8.2) | (6.1–8.5) | |||||
| rSL | 17.0 ± 1.0 | 16.4 ± 0.7 | 262.500a | 0.0033* | 17.2 ± 0.9 | 16.1 ± 0.8 | 88a | 0.0008* |
| (14.7–18.2) | (15.2–17.9) | (15.2–18.3) | (14.6–17.9) | |||||
| rNTL | 23.28 ± 0.9 | 23.4 ± 1.1 | 0.402 | 0.6893 | 23.0 ± 0.7 | 22.7 ± 0.9 | -0.783 | 0.4375 |
| (21.6–25.3) | (21.5–25.8) | (21.8 – 24.0) | (21.2–24.4) | |||||
| rEN | 9.5 ± 0.5 | 8.8 ± 0.8 | -3.759 | 0.0004* | 9.5 ± 0.4 | 8.8 ± 0.7 | 95a | 0.0015* |
| (8.4–10.7) | (7.4 – 11.3) | (8.5–10.1) | (7.5–10.1) | |||||
| rTEL | 3.83 ± 0.64 | 3.23 ± 0.62 | -3.840 | 0.0003* | 4.83 ± 0.64 | 4.28 ± 0.83 | -2.295 | 0.0265* |
| (2.73 – 5.21) | (2.40 – 5.05) | (4.06 – 6.32) | (2.76 – 5.98) | |||||
| rTD | 7.2 ± 0.5 | 7.9 ± 0.6 | 4.840 | < 0.0001* | 6.9 ± 0.4 | 7.1 ± 0.6 | 1.020 | 0.3131 |
| (6.4–8.0) | (6.8– 9.3) | (6.2–7.9) | (5.7– 8.0) | |||||
| rIN | 4.9 ± 0.4 | 4.9 ± 0.6 | 371a | 0.1750 | 4.9 ± 0.4 | 4.6 ± 0.4 | -2.270 | 0.0281* |
| (4.17 – 5.62) | (3.8–6.2) | (4.3–6.0) | (3.8–5.5) | |||||
| rEL | 9.8 ± 0.7 | 11.5 ± 1.1 | 7.026 | < 0.0001* | 8.9 ± 0.9 | 10.1 ± 1.0 | 3.850 | 0.0004* |
| (8.1–11.2) | (9.2–13.4) | (7.5–10.3) | (8.3–12.4) | |||||
| rIOD | 4.8 ± 0.6 | 6.2 ± 0.7 | 7.902 | < 0.0001* | 5.0 ± 0.4 | 5.6 ± 0.7 | 3.158 | 0.0028* |
| (3.7 – 5.9) | (4.6– 8.2) | (4.1–5.51) | (4.1–7.5) | |||||
| rUEW | 8.3 ± 0.7 | 8.2 ± 0.6 | -0.270 | 0.7882 | 8.0 ± 0.8 | 7.9 ± 0.7 | -0.140 | 0.8895 |
| (6.8–9.6) | (7.1–9.5) | (6.4–9.4) | (6.3–9.2) | |||||
| rHAL | 24.6 ± 0.9 | 24.7 ± 1.1 | 0.081 | 0.9359 | 23.9 ± 1.2 | 24.0 ± 1.5 | 218a | 0.7692 |
| (23.2–26.3) | (21.3–26.8) | (21.2–25.6) | (21.3–27.45) | |||||
| rFAL | 19.3 ± 0.9 | 19.8 ± 1.2 | 1.609 | 0.1130 | 18.7 ± 0.8 | 18.8 ± 1.3 | 0.084 | 0.9335 |
| (17.6–21.4) | (17.8– 22.5) | (17.4–20.0) | (16.7–21.4) | |||||
| rTHIGHL | 47.8 ± 1.93 | 45.5 ± 1.9 | 178.5a | < 0.0001* | 46.0 ± 2.4 | 43.6 ± 2.1 | 92a | 0.0012 |
| (42.1–51.1) | (42.6–49.3) | (40.0–48.5) | (39.9–47.6) | |||||
| rTL | 52.0 ± 1.4 | 47.6 ± 2.2 | 53a | < 0.0001* | 50.8 ± 3.0 | 46.4 ± 2.3 | 62.5a | < 0.0001* |
| (48.7–55.6) | (41.0–53.0) | (42.7–54.13) | (43.4 – 50.7) | |||||
| rFOL | 54.1 ± 2.2 | 51.8 ± 3.0 | 261.5a | 0.0027* | 52.1 ± 1.5 | 50.8 ± 3.1 | 174a | 0.1842 |
| (49.8–57.8) | (43.4–58.3) | (50.0–55.0) | (44.1–55.2) | |||||
| rTFOL | 79.6 ± 3.3 | 75.1 ± 4.0 | 162a | < 0.0001* | 77.6 ± 4.0 | 72.9 ± 4.6 | 109.5a | 0.004616* |
| (73.6–86.5) | (63.6– 81.6) | (71.4–87.0) | (66.3–81.2) | |||||
| r1FL | 18.9 ± 1.3 | 18.2 ± 1.3 | -1.967 | 0.0539 | 19.0 ± 1.1 | 18.9 ± 1.1 | -0.173 | 0.8637 |
| (17.2–21.2) | (16.2–20.8) | (16.6–20.6) | (17.0–21.0) | |||||
| rIMTL | 6.0 ± 0.6 | 5.8 ± 0.6 | 342.5a | 0.0773 | 5.9 ± 0.5 | 6.0 ± 0.5 | 252a | 0.6317 |
| (4.0–6.9) | (4.2–7.0) | (4.7–6.5) | (4.8–6.7) | |||||
| rITL | 18.6 ± 1.1 | 17.9 ± 1.8 | 327.5a | 0.0469* | 18.4 ± 1.1 | 18.1 ± 1.4 | -0.901 | 0.3724 |
| (15.1–20.1) | (14.8–21.8) | (15.9–19.8) | (15.2–20.7) | |||||
| 1.1 ± 0.0 | 1.2 ± 0.0 | 4.913 | < 0.0001* | 1.0 ± 0.0 | 1.1 ± 0.1 | 4.462 | < 0.0001* | |
| (1.0–1.2) | (1.1–1.2) | (1.0–1.1) | (1.0–1.2) | |||||
| 0.1 ± 0.0 | 0.2 ± 0.0 | 10.343 | < 0.0001* | 0.1 ± 0.0 | 0.2 ± 0.0 | 4.619 | < 0.0001* | |
| (0.1–0.2) | (0.1–0.2) | (0.1– 0.2) | (0.1– 0.2) | |||||
| 0.4 ± 0.0 | 0.4 ± 0.0 | -1.448 | 0.1529 | 0.43 ± 0.0 | 0.4 ± 0.0 | -4.426 | < 0.0001* | |
| (0.4–0.5) | (0.4–0.5) | (0.4–0.5) | (0.4–0.5) | |||||
| 0.2 ± 0.0 | 0.3 ± 0.0 | 8.662 | < 0.0001* | 0.2 ± 0.0 | 0.3 ± 0.0 | 375a | 0.0008* | |
| (0.2–0.3) | (0.2–0.3) | (0.2–0.3) | (0.2–0.3) | |||||
| 0.8 ± 0.1 | 0.8 ± 0.1 | 4.505 | < 0.0001* | 0.8 ± 0.1 | 0.8 ± 0.1 | 2.278 | 0.0275* | |
| (0.6–0.9) | (0.7–1.0) | (0.6–0.9) | (0.7–0.9) | |||||
| 0.6 ± 0.0 | 0.7 ± 0.1 | 8.775 | < 0.0001* | 0.5 ± 0.1 | 0.6 ± 0.1 | 5.664 | < 0.0001* | |
| (0.5–0.7) | (0.6–0.8) | (0.5–0.6) | (0.5–0.8) | |||||
| 1.0 ± 0.1 | 1.3 ± 0.2 | 9.196 | < 0.0001* | 0.9 ± 0.1 | 1.1 ± 0.1 | 6.303 | < 0.0001* | |
| (0.9–1.2) | (1.0–1.6) | (0.8–1.1) | (1.0–1.4) | |||||
| 1.0 ± 0.2 | 0.8 ± 0.1 | -6.372 | < 0.0001* | 1.0 ± 0.1 | 0.8 ± 0.1 | -3.839 | 0.0004* | |
| (0.8–1.5) | (0.5–1.2) | (0.8–1.1) | (0.6–1.3) | |||||
| 0.7 ± 0.1 | 0.7 ± 0.1 | -3.201 | 0.0022* | 0.8 ± 0.1 | 0.7 ± 0.1 | -2.754 | 0.0085* | |
| (0.6–0.9) | (0.6–0.8) | (0.6–0.9) | (0.6–0.9) | |||||
| 0.4 ± 0.1 | 0.3 ± 0.1 | -6.585 | < 0.0001* | 0.6 ± 0.1 | 0.4 ± 0.1 | 108a | 0.0044* | |
| (0.3–0.6) | (0.2–0.4) | (0.4–0.8) | (0.2–0.6) | |||||
| 0.8 ± 0.0 | 0.8 ± 0.1 | 1.385 | 0.1712 | 0.8 ± 0.0 | 0.8 ± 0.1 | 0.031 | 0.9754 | |
| (0.7–0.9) | (0.7–0.9) | (0.7–0.8) | (0.7– 0.9) | |||||
| 0.9 ± 0.0 | 1.0 ± 0.0 | 741a | < 0.0001* | 0.9 ± 0.1 | 0.9 ± 0.0 | 2.574 | 0.0134* | |
| (0.9–1.0) | (0.9–1.1) | (0.8–1.0) | (0.9–1.0) | |||||
| 1.0 ± 0.0 | 1.1 ± 0.1 | 755a | < 0.0001* | 1. ± 0.1 | 1.01 ± 0.1 | 405a | < 0.0001* | |
| (1.0–1.1) | (0.9–1.2) | (1.0–1.2) | (1.0–1.2) | |||||
| 0.1 ± 0.0 | 0.1 ± 0.0 | 615.5a | 0.0296 | 0.1 ± 0.0 | 0.1 ± 0.0 | 3.342 | 0.0017* | |
| (0.1–0.1) | (0.1–0.2) | (0.1–0.1) | (0.1–0.2) | |||||
Figure 4.Adult male neotype of (FMNH 256688) in preservative in A dorsal and B ventral views.
Figure 5.Plantar and metatarsal views of A adult male neotype of (FMNH 256688) B adult male (ZMKU AM 01426) from Khuan Khanun District, Phatthalung Province, Thailand C adult female holotype of holotype (CM 3724), and D adult male (ZMKU AM 10390) from Mueang Phang-nga District, Phang-nga Province, Thailand. The inner metatarsal ridge on the tarsus of is indicated with an arrow.
Figure 6.Adult male (ZMKU AM 01426) from Khuan Khanun District, Phatthalung Province, Thailand (SVL = 66. 9 mm) immediately prior to preservation in A right lateral B dorsal C ventral D right palmar, and E right plantar views. Photographs by Attapol Rujirawan.
Figure 7.Exemplar habitats in Thailand of A at a wetland in Khuan Khanun District, Patthalung Province B at a brackish shrimp pond near Pak Phanang river, Pak Phanang District, Nakhon Si Thammarat Province C at mangrove forest in Thai Mueang Distrinct, Phang-nga Province, and D at brackish fish ponds near mangroves at the mouth of the Prasae River, Kleang District, Rayong Province. Photograph A by Attapol Rujirawan.
Figure 8.Adult female holotype of (CM 3724) in preservative in A dorsal and B ventral views. Photograph B by Carnegie Museum of Natural History.
Figure 9.Adult male (ZMKU AM 01390) from Mueang Phang-nga District, Phang-nga Province, Thailand (SVL = 60.6 mm) immediately prior to preservation in A right lateral B dorsal C ventral D right palmar, and E right plantar views. Photographs by Attapol Rujirawan.
Morphological measurements (mm) of adult male specimens of . Data are given as mean and standard deviation, followed by range in parentheses.
| Characters | ||||
|---|---|---|---|---|
|
| 66.9 | 74.6 ± 3.8 (71.4 – 79.8) | 71.0 ± 5.7 (60.2–78.9) | 51.4 ± 5.4 (42.7–62.7) |
|
| 25.6 | 29.7 ± 1.1 (28.6 – 31.0) | 29.1 ± 2.1 (24.5–32.4) | 20.5 ± 1.8 (17.3–25.0) |
|
| 23.7 | 26.2 ± 1.6 (24.37 – 27.9) | 26.6 ± 2.3 (22.0–30.5) | 17.7 ± 1.8 (14.4–22.1) |
|
| 19.1 | 22.0 ± 0.6 (21.3– 22.8) | 21.56 ± 1.4 (18.4–23.7) | 15.4 ±1.4 (13.3–18.8) |
|
| 4.3 | 4.9 ± 0.2 (4.7–5.2) | 5.2 ± 0.4 (4.5–6.0) | 3.8 ± 0.40 (3.1–4.7) |
|
| 10.5 | 11.7 ± 0.7 (11.0–12.6) | 12.2 ± 0.7 (10.8–14.1) | 8.4 ± 0.8 (6.8–10.2) |
|
| 14.8 | 17.1 ± 0.78 (16.2–18.1) | 16.6 ± 1.2 (14.2– 18.2) | 12.0 ± 1.0 (10.5 –14.4) |
|
| 6.0 | 6.9 ± 0.5 (6.6–7.6) | 6.7 ± 0.5 (5.6–7.6) | 4.5 ± 0.4 (3.6–5.2) |
|
| 2.3 | 3.2 ± 0.2 (3.08 – 3.4) | 2.7 ± 0.6 (1.9–3.7) | 1.7 ± 0.4 (1.2–2.8) |
|
| 5.1 | 5.2 ± 0.5 (4.6–5.7) | 5.1 ± 0.4 (4.2–6.0) | 4.1 ± 0.4 (3.3–4.9) |
|
| 2.8 | 3.9 ± 0.1 (3.8–3.9) | 3.5 ± 0.4 (2.9–4.4) | 2.5 ± 0.4 (1.9–3.5) |
|
| 6.6 | 6.9 ± 0.6 (6.1–7.4) | 7.0 ± 0.7 (5.5–8.6) | 5.9 ± 0.6 (4.8–7.1) |
|
| 3.0 | 3.4 ± 0.2 (3.1–3.6) | 3.5 ± 0.5 (2.7– 4.4) | 3.2 ± 0.4 (2.5–3.8) |
|
| 4.9 | 6.4 ± 0.4 (6.07 – 6.83) | 5.9 ± 0.7 (4.9–7.3) | 4.2 ± 0.5 (3.2–5.1) |
|
| 16.2 | 18.00 ± 0.9 (16.9–19.1) | 17.5 ± 1.2 (15.5–19.5) | 12.7 ± 1.4 (10.6–15.7) |
|
| 13.1 | 15.0 ± 0.9 (14.1–16.0) | 13.6 ± 0.9 (11.5–15.0) | 10.2 ± 1.2 (8.2–12.2) |
|
| 30.2 | 34.7 ± 2.8 (31.6–38.0) | 34.1 ± 2.8 (29.1–39.1) | 23.4 ± 2.7 (19.0–29.3) |
|
| 34.5 | 38.4 ± 2.1 (36.5–41.4) | 37.0 ± 3.0 (30.7 – 42.7) | 24.44 ± 2.73 (19.84 – 30.3) |
|
| 37.2 | 39.8 ± 1.0 (38.6–40.7) | 38.35 ± 2.5 (30.7–43.3) | 26.6 ± 3.1 (21.5–32.9) |
|
| 56.3 | 59.8 ± 1.4 (58.4–61.3) | 56.2 ± 4.1 (48.7–62.8) | 38.6 ± 4.6 (30.4–48.1) |
|
| 13.8 | 14.3 ± 0.8 (13.3–15.0) | 13.3 ± 1.1 (11.6–16.1) | 9.4 ± 1.3 (7.2–12.4) |
|
| 4.1 | 3.9 ± 0.5 (3.5– 4.5) | 4.3 ± 0.4 (3.2–5.2) | 3.0 ± 0.5 (1.9–4.0) |
|
| 12.4 | 13.2 ± 1.3 (11.3–14.3) | 13.3 ± 1.0 (11.9–14.9) | 9.2 ± 1.4 (7.0–11.3) |
| 1.1 | 1.1 ± 0.0 (1.1–1.2) | 1.1 ± 0.0 (1.0–1.2) | 1.2 ± 0.0 (1.1–1.2) | |
| 0.1 | 0.1 ± 0.0 (0.1–0.1) | 0.1 ± 0.0 (0.1–0.2) | 0.2 ± 0.2 (0.1–0.2) | |
| 0.4 | 0.4 ± 0.1 (0.4–0.4) | 0.4 ± 0.0 (0.4– 0.5) | 0.4 ± 0.0 (0.4–0.5) | |
| 0.3 | 0.2± 0.0 (0.2–0.3) | 0.2 ± 0.0 (0.2–0.3) | 0.3 ± 0.0 (0.2–0.3) | |
| 0.7 | 0.72 ± 0.1 (0.6–0.8) | 0.8 ± 0.1 (0.7–0.9) | 0.8 ± 0.1 (0.7–1.0) | |
| 0.6 | 0.6 ± 0.0 (0.6–0.6) | 0.6 ± 0.0 (0.5–0.7) | 0.7 ± 0.1 (0.6–0.8) | |
| 1.1 | 0.0 ± 0.1 (0.9–1.1) | 1.0 ± 0.1 (1.0–1.2) | 1.3 ± 0.2 (1.0–1.6) | |
| 0.9 | 1.1 ± 0.1 (1.1–1.3) | 1.0 ± 0.2 (0.8–1.5) | 0.8 ± 0.1 (0.5–1.2) | |
| 0.8 | 0.8 ± 0.1 (0.6–0.8) | 0.7 ± 0.1 (0.6–0.9) | 0.7 ± 0.1 (0.6–0.8) | |
| 0.3 | 0.5 ± 0.1 (0.4–0.6) | 0.4 ± 0.1 (0.3–0.5) | 0.3 ± 0.1 (0.2–0.4) | |
| 0.8 | 0.9 ± 0.0 (0.9–1.0) | 0.8 ± 0.0 (0.7–0.9) | 0.8 ± 0.1 (0.7– 0.9) | |
| 0.9 | 0.8 ± 0.0 (0.8–0.9) | 0.8 ± 0.0 (0.7–0.9) | 1.0 ± 0.0 (0.9–1.1) | |
| 1.1 | 1.0 ± 0.0 (1.0–1.1) | 1.0 ± 0.0 (1.0–1.1) | 1.1 ± 0.1 (0.9–1.2) | |
| 0.1 | 0.1 ± 0.0 (0.1–0.1) | 0.1 ± 0.0 (0.1–1.1) | 0.2 ± 0.0 (0.9–0.2) |
Morphological measurements (mm) of adult female specimens of . Data are given as mean and standard deviation, followed by range in parentheses.
|
|
|
|
|
|
| Indonesia and Malaysia | (previously | (previously | ||
| Thailand | Thailand | |||
|
| 73.3 | 93.9 ± 7.0 | 95.5 ± 3.5 | 69.0 ± 10.1 |
| (93.0–98.0) | (107.1–85.1) | (50.0–81.8) | ||
|
| 29.8 | 35.3 ± 1.1 | 37.5 ± 2.0 | 27.1 ± 4.0 |
| (34.5–36.1) | (34.2–41.6) | (19.2–33.0) | ||
|
| 27.3 | 28.0 ± 1.1 | 36.2 ± 2.3 | 24.5 ± 4.1 |
| (27.2–28.7) | (31.8–39.4) | (17.2–30.9) | ||
|
| 22.4 | 35.1 ± 1.1 | 28.1 ± 1.4 | 20.1 ± 2.8 |
| (34.3–35.9) | (25.5–29.9) | (14.6–23.6) | ||
|
| 5.3 | 5.9 ± 0.3 | 6.9 ± 0.6 | 4.9 ± 0.7 |
| (5.7–6.1) | (5.8–8.1) | (3.5–6.1) | ||
|
| 11.4 | 15.2 ± 0.3 | 16.3 ± 1.0 | 11.1 ± 1.6 |
| (14.9–15.4) | (14.8–18.3) | (7.9–13.2) | ||
|
| 17.1 | 22.1 ± 0.8 | 21.5 ± 1.4 | 15.6 ± 2.2 |
| (21.5–22.6) | (19.0–24.1) | (11.3–18.2) | ||
|
| 6.2 | 8.6 ± 0.3 | 9.0 ± 0.7 | 6.0 ± 0.8 |
| (8.4–8.8) | (7.9–10.4) | (4.3–7.2) | ||
|
| 3.8 | 5.2 ± 0.9 | 4.5 ± 0.8 | 3.0 ± 0.8 |
| (4.6–5.9) | (3.6–6.1) | (1.4–4.0) | ||
|
| 5.8 | 6.4 ± 0.6 | 6.5 ± 0.6 | 4.9 ± 0.6 |
| (5.6–6.8) | (5.7–7.6) | (3.8–5.7) | ||
|
| 3.3 | 4.1 ± 0.2 | 4.7 ± 0.6 | 3.2 ± 0.5 |
| (4.0–4.2) | (3.9–5.7) | (2.2–4.0) | ||
|
| 6.7 | 7.5 ± 0.2 | 8.5 ± 0.7 | 6.9 ± 0.7 |
| (7.4–7.6) | (7.7–9.7) | (5.4–8.4) | ||
|
| 3.1 | 4.4 ± 0.5 | 4.8 ± 0.5 | 3.9 ± 0.64 |
| (4.0–4.8) | (4.0–5.7) | (2.9–5.4) | ||
|
| 5.9 | 7.4 ± 0.4 | 7.5 ± 0.7 | 5.4 ± 0.8 |
| (7.1–7.7) | (6.3–8.4) | (4.2–6.9) | ||
|
| 17.0 | 22.5 ± 1.5 | 22.5 ± 1.9 | 16.5 ± 2.3 |
| (23.4–21.5) | (19.6–26.1) | (12.0–19.6) | ||
|
| 12.9 | 17.6 ± 0.3 | 17.6 ± 1.4 | 13.0 ± 2.2 |
| (17.4–17.8) | (15.4–20.1) | (9.2–16.4) | ||
|
| 34.4 | 40.5 ± 4.6 | 43.8 ± 2.8 | 29.9 ± 4.3 |
| (37.2–43.7) | (40.0–48.8) | (21.6–35.8) | ||
|
| 35.7 | 46.4 ± 0.5 | 48.0 ± 4.1 | 31.9 ± 4.5 |
| (46.0–46.7) | (42.6–54.9) | (23.1–37.0) | ||
|
| 40.2 | 48.5 ± 0.7 | 49.2 ± 3.9 | 34.8 ± 5.0 |
| (48.0–49.0) | (43.6–547) | (24.6–42.7) | ||
|
| 57.2 | 73.5 ± 1.7 | 73.1 ± 7.7 | 49.9 ± 7.0 |
| (72.3–74.7) | (64.2–86.2) | (35.4–58.8) | ||
|
| 13.6 | 18.2 ± 0.6 | 17.8 ± 1.4 | 13.0 ± 2.1 |
| (17.7–18.6) | (15.2–20.3) | (9.2–15.8) | ||
|
| 4.4 | 4.9 ± 0.5 | 5.7 ± 0.5 | 4.1 ± 0.7 |
| (4.6–5.3) | (4.9–6.4) | (2.9–5.4) | ||
|
| 14.8 | 16.7 ± 0.2 | 17.5 ± 1.9 | 12.4 ± 1.8 |
| (16.5–16.9) | (13.8–20.5) | (8.5–15.2) |