• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Journal articles
    • View Item
    • Home
    • Griffith Research Online
    • Journal articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • An integrated approach for predicting the occurrence probability of an elusive species: The Southwest China serow

    Author(s)
    Phan, Thuc D
    Baxter, Greg S
    Phan, Hao AD
    Mai, Luan S
    Trinh, Hoang D
    Griffith University Author(s)
    Phan, Thuc D.
    Year published
    2019
    Metadata
    Show full item record
    Abstract
    Context: Understanding the environmental factors influencing the occurrence of wildlife has become increasingly important, contributing to better conservation actions for threatened species. Aims: We aimed to understand the factors that influence the occurrence probability of the Southwest China serow (Capricornis milneedwardsii), a threatened species, thereby developing conservation interventions to save the species from local extirpation on the Cat Ba Archipelago, Vietnam. Methods: An integrated approach, including literature reviews, interviews, field surveys, logistic generalised linear models and Bayesian networks, ...
    View more >
    Context: Understanding the environmental factors influencing the occurrence of wildlife has become increasingly important, contributing to better conservation actions for threatened species. Aims: We aimed to understand the factors that influence the occurrence probability of the Southwest China serow (Capricornis milneedwardsii), a threatened species, thereby developing conservation interventions to save the species from local extirpation on the Cat Ba Archipelago, Vietnam. Methods: An integrated approach, including literature reviews, interviews, field surveys, logistic generalised linear models and Bayesian networks, was applied to identify environmental variables and species occurrence, and model the occurrence probability of the species. Sensitivity analysis and scenarios were also performed to identify the influence of environmental variables on the probability of the species occurrence. Key results: Distance to ranger station was found to be the most influential factor on serow occurrence, followed by total forest, distance to village, steepness and elevation. Hunting pressure has probably forced serows to inhabit the areas where they are well protected, and this need probably over-rides the effect of ecological variables. Conclusion: Through combing knowledge of forest rangers and members of forest-protection groups, field surveys and logistic generalised linear models, a Bayesian network was developed to predict the occurrence probability of the threatened Southwest China serow on the Cat Ba Archipelago for conservation actions. The modelling results and findings from the present study provided further understanding of the relationships between environmental factors and the probability of the species occurrence, which have been rarely studied throughout the range of this species. Implications: The modelling predictions give managers basic information for conservation and recovery planning in situations where integrated conservation interventions should be urgently conducted to save the threatened species from local extirpation.
    View less >
    Journal Title
    Wildlife Research
    Volume
    46
    Issue
    5
    DOI
    https://doi.org/10.1071/WR18116
    Subject
    Environmental sciences
    Biological sciences
    Publication URI
    http://hdl.handle.net/10072/386859
    Collection
    • Journal articles

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E
    • TEQSA: PRV12076

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander