2016
DOI: 10.1080/13504509.2016.1146176
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Mapping ecosystem services potential in Lithuania

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Cited by 53 publications
(26 citation statements)
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References 51 publications
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“…Expert favourably scored low forest and peatbogs and high-Andean wetlands, in a certain way expressing comparable opinions with specialists from around the world 33,37,38 . On the contrary, urban zones were scored as low as possible for many of the experts, coinciding with results from matrix model international studies 18,33,39,40 .…”
Section: Discussionmentioning
confidence: 76%
“…Expert favourably scored low forest and peatbogs and high-Andean wetlands, in a certain way expressing comparable opinions with specialists from around the world 33,37,38 . On the contrary, urban zones were scored as low as possible for many of the experts, coinciding with results from matrix model international studies 18,33,39,40 .…”
Section: Discussionmentioning
confidence: 76%
“…Thirdly, the ES bundles of administrative unit could provide information at the decision-making level. A few studies have used k-mean clustering [30,31,33], principal component analysis [72,73], self-organizing map [74], and multivariate regression tree [75] to identify ES bundles. The selection of method in bundle studies were mainly based on the structure of ESs data [32].…”
Section: Identification and Mapping Of Ecosystem Service Bundlesmentioning
confidence: 99%
“…Understanding interactions between ES is a critical step towards assessing the drivers of landscape change and how they influence the potential, flow and demand of ES (Depellegrin et al 2016). Our results showed trade-offs between regulating and cultural services versus provisioning services such as "Crops", "Livestock" and "Fodder".…”
Section: Synergies and Or Trade-offs Among Esmentioning
confidence: 83%
“…Correlations among landscape properties (elevation, slope and aspect) and the ES capacity were also tested. A Principal Component Analysis (PCA) for 29 variables that correspond to the examined ES was carried out in order to group the variables and specify the synergies and trade-offs between ES as proposed by RaudseppHearne et al (2010) and tested by Depellegrin et al (2016). All statistical analysis was performed using SPSS v. 21 (IBM Corp 2012).…”
Section: Discussionmentioning
confidence: 99%