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Stated preference methods and landscape ecology indicators: an example of transdisciplinarity in landscape economic valuation

机译:陈述的偏好方法和景观生态指标:景观经济评估中的跨学科示例

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摘要

This paper addresses the representation of landscape complexity in stated preferences research. It integrates landscape ecology and landscape economics and conducts the landscape analysis in a three-dimensional space to provide ecologically meaningful quantitative landscape indicators that are used as variables for the monetary valuation of landscape in a stated preferences study. Expected heterogeneity in taste intensity across respondents is addressed with a mixed logit model in Willingness to Pay space. Our methodology is applied to value, in monetary terms, the landscape of the Sorrento Peninsula in Italy, an area that has faced increasing pressure from urbanization affecting its traditional horticultural, herbaceous, and arboreal structure, with loss of biodiversity, and an increasing risk of landslides. We find that residents of the Sorrento Peninsula would prefer landscapes characterized by large open views and natural features. Residents also appear to dislike heterogeneous landscapes and the presence of lemon orchards and farmers' stewardship, which are associated with the current failure of protecting the traditional landscape. The outcomes suggest that the use of landscape ecology metrics in a stated preferences model may be an effective way to move forward integrated methodologies to better understand and represent landscape and its complexity.
机译:本文讨论了陈述偏好研究中景观复杂性的表示。它整合了景观生态学和景观经济学,并在三维空间中进行了景观分析,以提供具有生态意义的定量景观指标,这些指标在所述偏好研究中用作景观货币价值的变量。在“愿意支付空间”中,使用混合logit模型解决了受访者预期的口味强度异质性问题。我们的方法论适用于以货币价值衡量的意大利索伦托半岛的景观,该地区面临城市化带来的越来越大的压力,影响其传统的园艺,草本和乔木结构,生物多样性减少,并且增加了滑坡。我们发现索伦托半岛的居民更喜欢以大视野和自然风光为特征的景观。居民似乎还不喜欢异质景观,柠檬园的存在和农民的管理,这与当前保护传统景观的失败有关。结果表明,在陈述的偏好模型中使用景观生态指标可能是前进的综合方法,可以更好地理解和表示景观及其复杂性的有效方法。

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