Drivers of support for citizen science across state wildlife management agencies in the United States

被引:1
|
作者
Van Buskirk, Amanda N. N. [1 ,3 ]
Boley, Bertram Bynum [1 ]
Killmaster, Charlie H. H. [1 ]
Johannsen, Kristina L. L. [2 ]
D'Angelo, Gino J. J. [1 ]
机构
[1] Univ Georgia, Daniel B Warnell Sch Forestry & Nat Resources, Athens, GA USA
[2] Georgia Dept Nat Resources, Wildlife Resources Div, Game Management Sect, Social Circle, GA USA
[3] Univ Georgia, Daniel B Warnell Sch Forestry & Nat Resources, Forest Resources Bldg 3-406, Athens, GA 30602 USA
关键词
citizen science; human dimensions of wildlife; social exchange theory; state wildlife agencies; theory of planned; behavior; CONSERVATION; SCIENTISTS; CHALLENGES; BARRIERS;
D O I
10.1111/cobi.14028
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Citizen science (CS) is gaining recognition as a valuable approach to meet data needs for environmental projects while fostering collaboration between scientists and members of the public. Despite increasing implementation of CS by natural resource entities, organizations' motivations for engaging in CS remain poorly understood. We examined the utility of the theory of planned behavior (TPB) and social exchange theory (SET) in identifying factors influencing support of CS by scientific organizations. To test predictions of the TPB and SET theories, we surveyed (quantitative, web based) state wildlife agency staff in the United States on their perceptions of organizational engagement in CS. We divided questions that measured TPB items into individual and organizational components to address the influence of personal- and organization-level decision-making on staff perceptions and attitudes. We used structural equation modeling to identify key constructs that influence staff support of CS in state wildlife agencies. The survey yielded 627 responses across 44 states. Both TPB and SET constructs accurately predicted staff support of CS; however, measures from SET (e.g., public engagement benefits and costs of CS to scientific credibility) were most influential (i.e., TPB constructs had less impact). Our findings indicate that organizational support for CS is primarily influenced by assessment of trade-offs among perceived costs and benefits. Indicators of support for CS were further elucidated by including measures from the TPB model. Based on our results, we suggest that natural resource entities give careful consideration to CS project design, develop thorough communication and data management plans, and practice iterative evaluation of CS project productivity.
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页数:15
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