2015
DOI: 10.1016/j.ecolecon.2015.02.023
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Capturing the complexity of biodiversity: A critical review of economic valuation studies of biological diversity

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Cited by 108 publications
(69 citation statements)
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“…As this paper answers the research questions and tests for the hypotheses in an exploratory approach, we do not have a priori assumptions about the direction of each test. For instance, if 3D presentation contain more information and offer a more comprehensive spatial perception of landscape changes, respondents may state a higher travel frequency and a higher WTP in the 3D group, as several studies showed that an increased level of information may also lead to a higher willingness-to-pay (e.g., [24][25][26][27]). …”
Section: Development Scenarios Of Alpine Pastures and Testable Hypothmentioning
confidence: 99%
“…As this paper answers the research questions and tests for the hypotheses in an exploratory approach, we do not have a priori assumptions about the direction of each test. For instance, if 3D presentation contain more information and offer a more comprehensive spatial perception of landscape changes, respondents may state a higher travel frequency and a higher WTP in the 3D group, as several studies showed that an increased level of information may also lead to a higher willingness-to-pay (e.g., [24][25][26][27]). …”
Section: Development Scenarios Of Alpine Pastures and Testable Hypothmentioning
confidence: 99%
“…Pearce & Moran (1994) define DSS for analysis and evaluation of forest ecosystem services biodiversity as genetic, species and ecosystem diversity. The literature contains several examples of forest biodiversity analyses for each of these categories (see Bartkowski et al 2015 for a literature review). It is harder to complete a dynamic analysis of this component in one or more forest life cycles (Uggla et al 2016).…”
Section: Model Approach and Data Inputmentioning
confidence: 99%
“…Given the inherent complexity of biodiversity and the services which the ecosystems provide as a consequence of their biodiversity (see, for example, Heip, 2003;Bartkowski et al, 2015;Farnsworth et al, 2015), it is imperative to depict these into one or more simple conceptual models. There are many ways to view marine systems, depending on the questions asked, the management goals set and typically, as with any complex system, disaggregating the various levels of complexity allows us to better understand each of the components and their major interactions (Brooks et al, 2016).…”
Section: Introductionmentioning
confidence: 99%