Humans regularly exert a powerful influence on the survival and persistence of species, yet social-science information is used only sporadically in conservation decisions. Using data obtained from a survey of 46,894 US residents, we developed and applied a spatially explicit “sociocultural index” to inform decision making through an understanding of public values toward wildlife. The classification is defined by opposing values of mutualism and domination, which have been previously shown to be highly predictive of attitudes on a wide range of policy issues. We developed state and county maps that can be used to represent public interests in policy decisions and inform management actions that target human behavior, such as education. To illustrate, we present findings indicating a supportive social context for gray wolf (Canis lupus) reintroduction in Colorado, an issue voted on and passed through a November 2020 citizen ballot initiative. Although the results are particularly relevant for the US, the technique is broadly applicable and its expansion is encouraged to better account for human factors in conservation decisions globally.

中文翻译：

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为野生动物保护决策带来社会价值

人类经常对物种的生存和持久性产生强大的影响，但社会科学信息只是偶尔用于保护决策。使用从对 46,894 名美国居民的调查中获得的数据，我们开发并应用了一个空间明确的“社会文化指数”，通过了解野生动物的公共价值观来为决策提供信息。这种分类是由互惠互利和支配的对立价值观定义的，这些价值观以前已被证明对广泛的政策问题的态度具有高度预测性。我们开发了州和县地图，可用于在政策决策中代表公共利益，并为针对人类行为（例如教育）的管理行动提供信息。为了说明这一点，我们提出了一些发现，表明对灰狼的支持性社会背景（Canis lupus ) 在科罗拉多州重新引入，该问题已通过 2020 年 11 月的公民投票倡议投票通过。尽管结果与美国特别相关，但该技术具有广泛的适用性，并鼓励其扩展以更好地考虑全球保护决策中的人为因素。