Literature DB >> 36267686

Gharial (Gavialis gangeticus, Gmelin, 1789) abundance in the Rapti River, Chitwan National Park, Nepal.

Ramesh Kumar Yadav1, Saneer Lamichhane2,3,4,5, Dol Raj Thanet6, Trishna Rayamajhi7, Santosh Bhattarai4,8, Ashish Bashyal9, Babu Ram Lamichhane2.   

Abstract

Gharial (Gavialis gangeticus) is a Critically Endangered crocodilian species whose abundance in Nepalese rivers is low due to the threat they face. We estimated gharial abundance in the Rapti River, one of the major rivers in Chitwan National Park (CNP) holding the largest numbers of gharials in Nepal. The Rapti River, running across the CNP, was divided into 18 segments, each measuring ~4 km, and gharials were counted directly with three replicates. Gharial count data were analyzed using an N-mixture model (negative binomial) and the overall occupancy of gharials was estimated using a single season occupancy model. Covariate effects were also investigated on gharial abundance. Our findings revealed that the Rapti River is home to 150 gharials (119-181), with a mean abundance of 8.3 (SD = 3.45) across each segment. The presence of humans and square of Rapti River depth were the significant covariates that had a negative and positive impact on gharial abundance, respectively. Similarly, the number of sandbank present influenced the detection probability of gharials. Our study shows that gharial population estimation can be improved using the N-mixture model. The overall gharial occupancy estimated using single season occupancy model was 0.84 (SD = 0.08), with a detection probability of 0.37 (SD = 0.02). The management authority should concentrate on segments to minimize human disturbance (e.g., fishing, washing clothes, extraction of riverbed materials). If the gharial population in this river declines, their population in central Nepal will be threatened. Hence, we suggest designating the Rapti River section that passes across the CNP as a "no extraction zone."
© 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

Entities:  

Keywords:  N‐mixture model; Rapti river; abundance; gharial; no extraction zone; occupancy

Year:  2022        PMID: 36267686      PMCID: PMC9579734          DOI: 10.1002/ece3.9425

Source DB:  PubMed          Journal:  Ecol Evol        ISSN: 2045-7758            Impact factor:   3.167


  5 in total

1.  N-mixture models for estimating population size from spatially replicated counts.

Authors:  J Andrew Royle
Journal:  Biometrics       Date:  2004-03       Impact factor: 2.571

2.  Modeling abundance using N-mixture models: the importance of considering ecological mechanisms.

Authors:  Liana N Joseph; Ché Elkin; Tara G Martin; Hugh P Possinghami
Journal:  Ecol Appl       Date:  2009-04       Impact factor: 4.657

3.  Estimating species occurrence, abundance, and detection probability using zero-inflated distributions.

Authors:  Seth J Wenger; Mary C Freeman
Journal:  Ecology       Date:  2008-10       Impact factor: 5.499

4.  N-mixture models reliably estimate the abundance of small vertebrates.

Authors:  Gentile Francesco Ficetola; Benedetta Barzaghi; Andrea Melotto; Martina Muraro; Enrico Lunghi; Claudia Canedoli; Elia Lo Parrino; Veronica Nanni; Iolanda Silva-Rocha; Arianna Urso; Miguel Angel Carretero; Daniele Salvi; Stefano Scali; Giorgio Scarì; Roberta Pennati; Franco Andreone; Raoul Manenti
Journal:  Sci Rep       Date:  2018-07-09       Impact factor: 4.379

5.  N-mixture models provide informative crocodile (Crocodylus moreletii) abundance estimates in dynamic environments.

Authors:  José António Lemos Barão-Nóbrega; Mauricio González-Jaurégui; Robert Jehle
Journal:  PeerJ       Date:  2022-03-21       Impact factor: 2.984

  5 in total

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