7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Spatially restricted occurrence and low abundance as key tools for conservation of critically endangered large antelope in West African savannah

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The effective conservation of mammals on the brink of extinction requires an integrated socio-ecological approach, yet the updated ecological knowledge of species remains fundamental. This study brings spatiotemporal behaviour, population structure, age-specific survival rates, and population size estimate of the Western Derby eland (WDE) in the Niokolo Koba National Park (NKNP), Senegal, investigated during dry seasons 2017 and 2018. WDE was strongly localised in the core area of NKNP (< 5%), active throughout the day with the highest peak in the hottest daytime, with a mean group size 7.6 ± SE 8.9. The adult sex ratio was female-biased and showed low annual adult male survival rates. The population consisted of high proportion of juveniles, whilst adults did not exceed 40%. The estimated population density was 0.138 WDE/km 2 (± 0.0102) and estimated size 195 WDE in NKNP (CI95 from 54 to 708 individuals). Findings highlighted that the WDE population has potential to expand in the NKNP, due to an underutilized capacity. The age-specific vital rates indicate adult males as the most vulnerable; suggesting either an increase in the large predators’ population, livestock encroachment pressure, and/or poaching. Findings imply that targeted monitoring with science-based interpretation may bring forward strong conservation solutions to the protected area management decision-makers.

          Related collections

          Most cited references56

          • Record: found
          • Abstract: found
          • Article: not found

          Spatially explicit maximum likelihood methods for capture-recapture studies.

          Live-trapping capture-recapture studies of animal populations with fixed trap locations inevitably have a spatial component: animals close to traps are more likely to be caught than those far away. This is not addressed in conventional closed-population estimates of abundance and without the spatial component, rigorous estimates of density cannot be obtained. We propose new, flexible capture-recapture models that use the capture locations to estimate animal locations and spatially referenced capture probability. The models are likelihood-based and hence allow use of Akaike's information criterion or other likelihood-based methods of model selection. Density is an explicit parameter, and the evaluation of its dependence on spatial or temporal covariates is therefore straightforward. Additional (nonspatial) variation in capture probability may be modeled as in conventional capture-recapture. The method is tested by simulation, using a model in which capture probability depends only on location relative to traps. Point estimators are found to be unbiased and standard error estimators almost unbiased. The method is used to estimate the density of Red-eyed Vireos (Vireo olivaceus) from mist-netting data from the Patuxent Research Refuge, Maryland, U.S.A. Estimates agree well with those from an existing spatially explicit method based on inverse prediction. A variety of additional spatially explicit models are fitted; these include models with temporal stratification, behavioral response, and heterogeneous animal home ranges.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Density estimation in live-trapping studies

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              An evaluation of camera traps for inventorying large- and medium-sized terrestrial rainforest mammals

                Bookmark

                Author and article information

                Contributors
                hejcmanova@ftz.czu.cz
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                29 September 2021
                29 September 2021
                2021
                : 11
                : 19397
                Affiliations
                [1 ]Direction Des Parcs Nationaux du Sénégal, route des Pères maristes, BP 5135, Dakar Hann, Senegal
                [2 ]Department of HydroSciences and Environment, University Iba Der Thiam de Thiès, Thiès, Senegal
                [3 ]GRID grid.15866.3c, ISNI 0000 0001 2238 631X, Faculty of Tropical AgriSciences, , Czech University of Life Sciences Prague, ; Kamýcká 129, Prague - Suchdol, 16500 Czech Republic
                [4 ]Wild Africa Conservation, 27 rue de D’Esbly, 77240 Cesson, France
                Author information
                http://orcid.org/0000-0001-9547-4302
                Article
                98649
                10.1038/s41598-021-98649-7
                8481223
                34588514
                5c7d2410-c448-4c26-806f-a236002ecd07
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 March 2021
                : 6 September 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100006206, Česká Zemědělská Univerzita v Praze;
                Award ID: IGA 20205015
                Award ID: CIGA 20185008
                Funded by: FundRef http://dx.doi.org/10.13039/501100001823, Ministerstvo Školství, Mládeže a Tělovýchovy;
                Award ID: CZ.02.2.69/0.0/0.0/19_074/0016295
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                zoology,ecology
                Uncategorized
                zoology, ecology

                Comments

                Comment on this article