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Recent Progress in Taxonomic Studies, Biogeographic Analysis, and Revised Checklist of Reptiles in Indochina

2023· article· en· W4387422295 on OpenAlexaff
Nikolay A. Poyarkov, Tan Van Nguyen, Peter Geißler, Parinya Pawangkhanant, Thy Neang, Chatmongkon Suwannapoom, Natalia B. Ananjeva, Nikolai L. Orlov

Bibliographic record

VenueRussian Journal of Herpetology · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsFuture Earth
Fundersnot available
KeywordsEndemismEcologySubspeciesGeographyFaunaIUCN Red ListBiodiversityData deficientChecklistType localityConservation statusBiologySpecies richnessTaxonomy (biology)Habitat

Abstract

fetched live from OpenAlex

The Indochinese Peninsula represents one of the key global biodiversity hotspots in Southeast Asia. The herpetofauna of Indochina (herein including Vietnam, Laos, Cambodia, and Thailand) currently (as by 10 August 2023) comprises 882 native and six invasive species of reptiles and is one of the richest in the world. About 40% of the Indochinese reptile species were discovered or recorded within the first two decades of the 21st century. We review the literature and our field data to assess all recent discoveries and taxonomic changes; we compile an annotated checklist of reptilian fauna of Indochina, including updated faunal lists for Vietnam and Thailand. Reptile species checklists for Laos and Cambodia are published for the first time. For each species we provide the following information: scientific name; recommended common name in English; information on type specimens; information on recognized subspecies; type locality; data on its distribution within Indochina and beyond; IUCN conservation status; taxonomic comments and the most important references. We review the distribution of each reptilian species across the 23 biogeographic subregions of Indochina, estimate the similarity among the regional faunas and evaluate their species richness and endemism. In total, we record 882 native reptile species belonging to three orders, 34 families and 163 genera; of them 408 species (46.3%) are endemic to Indochina. Comprising 512 known species, the reptilian fauna of Thailand is the richest (114 country endemics, 22.3%), followed by Vietnam with 496 species (157 endemics, 31.7%), Laos with 250 species (39 endemics, 15.6%), and Cambodia with 191 species (15 endemics, 7.9%). A cluster analysis of faunal similarity between the subregions revealed three major groupings, corresponding to the Sundaland fauna south of the Isthmus of Kra, the subtropical fauna of northeastern Indochina, and the tropical fauna of mainland Indochina. Within the latter grouping four clusters can be distinguished: (1) northern, central and southern Annamites, (2) western Indochinese subregions, (3) central-south Vietnam lowlands including the Bolaven Plateau and Cardamom Mountains, (4) and the depleted faunas of river deltas, coastal areas and offshore islands. We identify the Northern, Central and Southern Annamites, the Northwest Uplands of Vietnam, Laos and Thailand, Southern Tenasserim in Thailand as the major centers of reptilian diversity in Indochina. The highest number of Indochinese endemic reptilian species was recorded in Central-Southern Vietnam Lowlands, Northern Annamites, and Central Annamites. The analysis of reptilian distribution patterns suggests the presence of 20 clusters of species sharing similar distribution patterns across Indochina. Our results further underline the key role of Indochina as an important area for diversity and conservation of reptiles. Among 882 native species of Indochinese reptiles, 356 species (40.4%) are considered as Data Deficient (DD) or were Not Evaluated (NE) according to the IUCN Red List criteria, while 106 species (12.0%) were considered Vulnerable (VU), Endangered (EN) or Critically Endangered (CR), 17 species (1.9%) were considered to be Near Threatened (NT), and 403 species (45.7%) to be of the Least Concern (LC) status. Our work has implications for elaboration of further conservation efforts for Indochinese reptiles on regional and global levels, as well as for a better understanding of the biogeographic patterns of reptilian richness and endemism in Asia.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.279
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations54
Published2023
Admission routes1
Has abstractyes

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