Stakeholders' Attitudes Toward Black Bear in East Texas

Human perceptions under unstructured forms contain valuable information for ecological restoration (ER). To aid in ER, this paper introduces a working process to analyze the unstructured information for the case study of black bear restoration (BBR) in East Texas where understanding of the perceptions of stakeholders at a community level is needed. We identified the current situation, revealed stakeholders and their interactions, and developed actions for change for BBR. Our techniques included recording discussions in meetings, Soft Systems Methodology, and stakeholder analysis. Results indicated the current situation of BBR with human-bear and human-human conflicts. We figured out that information exchange was interrupted in the public, a potential cause for conflicts. Through a systemization, results showed various roles of key stakeholders and constraints for BBR. We found that local state agencies and local residents (particularly landowners) are the key decision-makers for BBR success. Their collaboration can result in a small portion of success (1/9) that can be increased by more cooperation. The SSM framework introduced in this study can be used for modeling community perceptions in ecological restoration.

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Demographics, attitudes and emotions as predictors of support for bear management

Vaske

Miller²,

Williams³

et al. 2022

Wildlife Res.

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Context The Illinois Department of Natural Resources was mandated by legislation to develop management plans for American Black Bears and needed Illinois residents’ preferences for bear management strategies. Aims The aim of this article was to examine how demographics, emotions and attitudes were related to support for three American black bear management strategies (active reintroduction, natural recolonisation, having breeding populations of black bears). Researchers have repeatedly suggested that these predictors are related to support for management actions. Methods Data were obtained from a mail survey sent to two populations of stakeholder groups. A total of 896 agricultural producers completed the questionnaire (response rate = 36%); 904 hunters completed the questionnaire (response rate = 36%). Five demographic variables were used in the analyses: (1) agricultural producer; (2) hunter; (3) age; (4) sex; and (5) residence growing up. Positive and negative emotional dispositions were operationalised with eight items. General attitude toward bears was measured with four items. All three management questions were asked for ‘in Illinois’ and ‘in my county’. Reliability analyses supported combining the psychological variables into indices for each construct. Key results Findings indicated that demographic and psychological characteristics are related to support for bear management strategies, but that these relationships are complex for a number of reasons. First, the regression beta coefficients for the demographic regression models were ‘minimal’ (M = 0.13), whereas the coefficients for psychological variables were ‘typical’ (M = 0.30). Second, not all of the demographic and psychological variables affected support for agency actions in the same way. Third, the average R2 for the three demographic models was only 16%, whereas the average R2 for the three psychological characteristics models was 53%. Conclusions Given the weak relationships between demographics and support for bear management, managers may not need to always target specific groups based on their demographics. Implications Certain situations may warrant specific messages to target audiences; weak demographic relationships suggest that managers should be cautious when using these characteristics to target communication messages to specific groups.

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Stakeholders' Attitudes Toward Black Bear in East Texas

Cited by 7 publications

References 14 publications

A Review Discussion on the State of Collaborative Protected Area Management Around the World and Comparison with That of Bangladesh

A Review Discussion on the State of Collaborative Protected Area Management Around the World and Comparison with That of Bangladesh

Revealing Community Perceptions for Ecological Restoration Using a Soft System Methodology

Demographics, attitudes and emotions as predictors of support for bear management

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