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Monitoring African Megafauna in an Anthropogenic Landscape: A 15-Year Case Study of the Vulnerable West African Giraffe

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41340%2F25%3A103808" target="_blank" >RIV/60460709:41340/25:103808 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1111/acv.70039" target="_blank" >https://doi.org/10.1111/acv.70039</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/acv.70039" target="_blank" >10.1111/acv.70039</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Monitoring African Megafauna in an Anthropogenic Landscape: A 15-Year Case Study of the Vulnerable West African Giraffe

  • Original language description

    Although the African continent remains rich in megafauna, around 50% are threatened with extinction by anthropogenic pressures, with West Africa showing the biggest decline. Many taxa like the West African giraffe (Giraffa camelopardalis peralta), have suffered great range loss and population declines. Now restricted to Niger, the last West African giraffe almost exclusively lives in densely populated, agricultural area and shares its habitat with humans and their livestock. Using individual encounter history data from 15 years of annual photographic surveys (2005 – 2019), we calculated the population’s abundance, growth rate, survival, and encounter probabilities. First, we utilized pattern recognition software (HotSpotter) to clean the photographic database and correct individual encounter histories. We subsequently removed 145 double-counted ‘ghost’ individuals from 979 West African giraffe originally identified during the surveys through manual identification. Such errors and inadequate methodology caused a population overestimation of 18.9%, between 2011 and 2018. Updated encounter histories enabled us to accurately calculate abundance and demographic parameters with capture-mark-recapture (CMR) methods. By 2018, the population was estimated to have grown to 562 individuals at an average growth rate of 12%. Our results suggest that the data processing methods used in Niger have been increasingly inaccurate. We recommend changes to both monitoring and subsequent data processing to improve accuracy and effectiveness and increase the quality of conservation management decisions for the West African giraffe. Despite local threats, high survival rates and rapid population growth suggest that coexistence with humans can support the recovery of a depleted, slow-breeding megafauna species, even outside of protected areas.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10619 - Biodiversity conservation

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Animal Conservation

  • ISSN

    1367-9430

  • e-ISSN

    1367-9430

  • Volume of the periodical

    2025

  • Issue of the periodical within the volume

    neuvedeno

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    14

  • Pages from-to

  • UT code for WoS article

    001608325400001

  • EID of the result in the Scopus database

    2-s2.0-105021248799