Implementing social network analysis to understand the socio-ecology of wildlife co-occurrence and joint interactions with humans in anthropogenic environments

Krishna Balasubramaniam, Stefano Kaburu, Pascal Marty, Brianne Beisner, Eliza Bliss-Moreau, Malgorzata Arlet, Nadine Ruppert, Ahmad Ismail, Sahrul Anuar Mohd Sah, Lalith Mohan, Sandeep Rattan, Ullasa Kodandaramaiah & Brenda McCowan
1. Human population expansion into wildlife habitats has increased interest in the behavioral ecology of human-wildlife interactions. To date, however, the socio-ecological factors that determine whether, when or where wild animals take risks by interacting with humans and anthropogenic factors still remains unclear. 2. We adopt a comparative approach to address this gap, using social network analysis (SNA). SNA, increasingly implemented to determine human impact on wildlife ecology, can be a powerful tool to understand...

Registration Year

  • 2021
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Resource Types

  • Dataset
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Affiliations

  • University of Wolverhampton
    1
  • Indian Institute of Science Education and Research, Thiruvananthapuram
    1
  • Universiti Putra Malaysia
    1
  • Universiti Sains Malaysia
    1
  • Emory University
    1
  • Adam Mickiewicz University in PoznaƄ
    1
  • University of California, Davis
    1