Conflicts arising from human-wildlife interactions (HWIs) pose a significant challenge in communities neighboring Nyerere National Park. To achieve long-term conservation success, it is critical to understand and resolve complex social conflicts. Currently, most attention is focused on addressing dispute-related conflicts, whereas underlying, and identity-based conflicts are understudied, resulting in inadequate information in literature regarding underlying and identity-based conflicts that drive social conflicts. Through the use of the Conservation Conflict Transformation Model (CCT), this study aimed to identify existing conflicts across three levels of conflict and assess current intervention strategies employed within the study area. Based on data collected from 324 respondents through questionnaire surveys, the study revealed that the dispute level of conflicts was lower than the underlying and identity-based levels of conflicts, emphasizing the limited scope of addressing conflicts solely at the dispute level within the context of conflicts arising from HWIs. To alleviate conflicts at the dispute level, respondents employed both lethal and non-lethal control techniques, with a preference for non-lethal methods. Additionally, socio-demographic factors including age, gender, household size, respondent's attitude towards wildlife, and residence significantly influenced the implementation of intervention strategies (P < 0.05). Furthermore, the findings revealed that respondents faced several challenges, including a lengthy incident reporting process for conflicts arising from HWIs, lack of consolation payment for damages, exclusionary practices, and lack of transparency in seeking assistance from local, wildlife, and government authorities. Overall, the study recommends adopting and implementing a holistic approach aligned with the CCT model to effectively address conflicts under HWIs. Future research should focus on thorough case studies and actual applications of the CCT model to manage conflicts under HWIs.
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