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

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          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.”

          Abstract

          Rapti River is home to 150 gharials (119 ‐ 181), with a mean abundance of 8.3 (SD= 3.45) across each segment. Since human disturbance was a significant covariate that negatively impacted the abundance of gharials, management authorities should focus on Rapti River segments that would limit human disturbance (such as fishing, washing clothing, and riverbed material extraction). The N‐mixture model was used for the first time in Nepal to assess gharial abundance.

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          Most cited references48

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          ESTIMATING ABUNDANCE FROM REPEATED PRESENCE–ABSENCE DATA OR POINT COUNTS

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

            Spatial replication is a common theme in count surveys of animals. Such surveys often generate sparse count data from which it is difficult to estimate population size while formally accounting for detection probability. In this article, I describe a class of models (N-mixture models) which allow for estimation of population size from such data. The key idea is to view site-specific population sizes, N, as independent random variables distributed according to some mixing distribution (e.g., Poisson). Prior parameters are estimated from the marginal likelihood of the data, having integrated over the prior distribution for N. Carroll and Lombard (1985, Journal of American Statistical Association 80, 423-426) proposed a class of estimators based on mixing over a prior distribution for detection probability. Their estimator can be applied in limited settings, but is sensitive to prior parameter values that are fixed a priori. Spatial replication provides additional information regarding the parameters of the prior distribution on N that is exploited by the N-mixture models and which leads to reasonable estimates of abundance from sparse data. A simulation study demonstrates superior operating characteristics (bias, confidence interval coverage) of the N-mixture estimator compared to the Caroll and Lombard estimator. Both estimators are applied to point count data on six species of birds illustrating the sensitivity to choice of prior on p and substantially different estimates of abundance as a consequence.
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              Estimating Site Occupancy Rates When Detection Probabilities Are Less Than One

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                Author and article information

                Contributors
                saneerlamichhane@gmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                18 October 2022
                October 2022
                : 12
                : 10 ( doiID: 10.1002/ece3.v12.10 )
                : e9425
                Affiliations
                [ 1 ] Department of National Parks and Wildlife Conservation Kanchenjunga Conservation Area Tapethok Nepal
                [ 2 ] National Trust for Nature Conservation Ratnanagar, Chitwan Nepal
                [ 3 ] Birat Environment Service Biratnagar Nepal
                [ 4 ] Nepal Conservation and Research Center Ratnanagar Chitwan Nepal
                [ 5 ] Institute of Forestry, Tribhuvan University Hetauda Nepal
                [ 6 ] Department of Natural Resources and the Environment Cornell University Ithaca New York USA
                [ 7 ] Biodiversity Conservancy Nepal Tilottama Nepal
                [ 8 ]Present address: University of Florida Gainesville Florida USA
                [ 9 ]Present address: Federation University Churchill Victoria Australia
                Author notes
                [*] [* ] Correspondence

                Saneer Lamichhane, Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, 32611, USA

                Email: saneerlamichhane@ 123456gmail.com

                Author information
                https://orcid.org/0000-0002-2073-3864
                https://orcid.org/0000-0002-3202-1581
                https://orcid.org/0000-0001-9787-5919
                https://orcid.org/0000-0001-7615-1954
                https://orcid.org/0000-0002-2030-4509
                https://orcid.org/0000-0003-0580-7682
                Article
                ECE39425 ECE-2022-06-00957.R2
                10.1002/ece3.9425
                9579734
                36267686
                805a2160-e932-4fd9-95f4-70bb770d27b6
                © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 September 2022
                : 28 June 2022
                : 26 September 2022
                Page count
                Figures: 9, Tables: 7, Pages: 11, Words: 6892
                Funding
                Funded by: National Trust for Nature Conservation
                Funded by: Nepal (NTNC) and Zoological Society of London Nepal (ZSL Nepal).
                Categories
                Behavioural Ecology
                Conservation Ecology
                Research Article
                Research Articles
                Custom metadata
                2.0
                October 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.0 mode:remove_FC converted:19.10.2022

                Evolutionary Biology
                abundance,gharial,n‐mixture model,no extraction zone,occupancy,rapti river
                Evolutionary Biology
                abundance, gharial, n‐mixture model, no extraction zone, occupancy, rapti river

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