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Promoting human-carnivore coexistence through outreach in Namibia’s eastern communal conservancies

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DataONE2024-12-28 更新2025-04-26 收录
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Education and community outreach are fundamental to raising conservation awareness in rural communities for alleviating human wildlife conflict (HWC). Evaluating the impacts of programs aimed at reducing HWC is necessary to justify the effectiveness of mitigation strategies, and to provide feedback for designing sustainable conservation initiatives at the community level. We examined the impacts of an outreach program in four eastern communal conservancies in Namibia using questionnaire surveys administered to outreach workshop participants. Most participants experienced livestock losses (91.7%), which were caused primarily by predators and droughts. Following workshop attendance, significant declines in livestock losses were observed and perceptions regarding the abundances of predators in the area reflected the reality on the ground more accurately. These results suggest that workshops can be effective in teaching communities about predator ecology and mitigating depredation losses of..., The dataset herein was used in an article published in Wildlife Biology and was collected through questionnaire surveys carried out by the Cheetah Conservation Fund during workshops with rural communities in Namibian communal conservancies., , # Promoting Human-Carnivore Coexistence through Outreach in Namibia’s Eastern Communal Conservancies - Supporting DATASET [https://doi.org/10.5061/dryad.dr7sqvb7z](https://doi.org/10.5061/dryad.dr7sqvb7z) ## Description of the data and file structure The data represent responses from farmers to questions administered as part of questionnaire surveys carried out by the Cheetah Conservation Fund. The column headings in the MS Excel spreadsheet are self-explanatory. ### Files and variables #### File: CCF\_data\_HWC\_workshops\_121224.xlsx **Description:**  ##### **This is a data file with text (string), date, numeric and Yes/No fields. All data are self-explanatory based on column headings.** ## Code/software The data can be visualized in MS Excel or in R statistical software. ## Access information The data are accessible solely herein on Dryad.
创建时间:
2024-12-29
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