Transparency and adaptability aid in realigning the complexity of objectives, approaches, and systems in human-wildlife coexistence research
Scientific Reports, ISSN: 2045-2322, Vol: 14, Issue: 1, Page: 21670
2024
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Human-wildlife interactions are situated within dynamic systems, characterized by social and ecological complexity. Human-wildlife coexistence research, however, typically focuses on one component of these systems in isolation. We inadvertently followed this norm while carrying out semi-structured interviews of livestock-owners in Northern Tanzania. As existing literature highlighted that this area was a hotspot for livestock depredation, our research questions focused on human interactions with carnivores. Interestingly, almost three quarters (72%, n = 72 of 100) of study participants independently raised African elephants (Loxodonta africana) as presenting the greatest impediments to coexistence. By centering our interviews on carnivores, we omitted vital components of this complex system. To counteract the effects of this oversimplification, we changed our intended analytical process after data collection. Instead of conducting a quantitative analysis of rates of livestock depredation and perceptions of risk posed by a suite of sympatric carnivores, we applied a grounded theory approach to assess interactions across multiple dimensions of this complex system. Through this transparent effort to realign our approaches with the complexity of the study system, we highlight the importance of designing research approaches that effectively reflect the complexities inherent to human-wildlife coexistence.
Bibliographic Details
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know