公众对野化框架的偏好:奥得河三角洲的选择实验

IF 4.2 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION People and Nature Pub Date : 2024-01-21 DOI:10.1002/pan3.10582
Rowan Dunn‐Capper, Marek Giergiczny, N. Fernández, Fabian Marder, Henrique M. Pereira
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引用次数: 0

摘要

野化是恢复科学中的一种新兴模式,作为一种具有成本效益的生态系统恢复方案,它正日益受到人们的青睐。最近有人提出了一个野化框架,其中包含三个不可分割的组成部分:恢复营养复杂性、允许随机干扰和提高物种的扩散潜力。我们采用离散选择实验的方法来确定公众对奥得河三角洲野化的偏好。奥得河三角洲的地理位置独特,平均分布在两个国家,这使我们能够分析德国样本(n = 1005)和波兰样本(n = 1066)之间的差异。值得注意的是,受访者对通过促进大型哺乳动物的回归来恢复营养复杂性的偏好最强。此外,我们发现居住在研究区域当地的受访者的偏好与全国范围内的样本明显不同,他们对恢复自然洪水机制和大型捕食者物种的存在表现出消极的支付意愿。
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Public preference for the rewilding framework: A choice experiment in the Oder Delta
Rewilding is an emerging paradigm in restoration science and is increasingly gaining popularity as a cost‐effective ecosystem restoration option. A rewilding framework was recently proposed that contains three integral components: restoring trophic complexity, allowing for stochastic disturbances and enhancing species' potential to disperse. However, as of yet, there has been limited quantitative analysis looking at public preference for rewilding and each of its elements. We used a discrete choice experiment approach to determine public preference for rewilding in the Oder Delta. The unique geographical context of the Oder Delta, spreading evenly across two countries, allowed us to analyse differences between the German (n = 1005) and Polish (n = 1066) samples. In both countries, we found that respondents were willing to pay for rewilding interventions when compared against a status quo option. Notably, preferences were strongest for restoring trophic complexity through promoting the comeback of large mammals. In addition, we found respondents living locally to the study region had significantly different preferences than the nationwide samples, exhibiting negative willingness to pay for the restoration of natural flooding regimes and the presence of large predator species. Read the free Plain Language Summary for this article on the Journal blog.
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来源期刊
People and Nature
People and Nature Multiple-
CiteScore
10.00
自引率
9.80%
发文量
103
审稿时长
12 weeks
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