Caring for the agitated patient: a tiered approach

2021 ◽  
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pp. 100063
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James Hardy ◽  
Eric D. Isaacs
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2015 ◽  
Vol 108 ◽  
pp. 955-964 ◽  
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Y. Bruinen de Bruin ◽  
W. Peijnenburg ◽  
T. Vermeire ◽  
L. Posthuma ◽  
E. Hogendoorn ◽  
...  

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One Ecosystem ◽  
2018 ◽  
Vol 3 ◽  
Author(s):  
Miguel Villoslada ◽  
Ivo Vinogradovs ◽  
Anda Ruskule ◽  
Kristina Veidemane ◽  
Olgerts Nikodemus ◽  
...  

Throughout the second half of the 20th Century, the area of semi-natural grasslands in the Baltic States decreased substantially, due to agricultural abandonment in some areas and intensification in more productive soil types. In order to halt the loss of biodiversity and ecosystem services provided by grasslands, the LIFE+ programme funded project, LIFE Viva Grass, aims at developing an integrated planning tool that will support ecosystem-based planning and sustainable grassland management. LIFE Viva Grass integrated planning tool is spatially explicit and allows the user to assess the provision and trade-offs of grassland ecosystem services within eight project case study areas in Estonia, Latvia and Lithuania. In order to ensure methodological adaptability, the structure of the LIFE Viva Grass integrated planning tool follows the framework of the tiered approach. In a multi-tier system, each consecutive tier entails an increase in data requirements, methodological complexity or both. The present paper outlines the adaptation of the tiered approach for mapping and assessing ecosystem services provided by grasslands in the Baltic States. The first tier corresponds to a deliberative decision process: The matrix approach is used to assess the potential supply of grassland ecosystem services based on expert estimations. Expert values are subsequently transferred to grassland units and therefore made spatially explicit. The data collected in the first tier was further enhanced through a Principal Components Analysis (PCA) in order to explore ES bundles in tier 2. In the third tier, Multi-Criteria Decision Analysis is used to target specific policy questions.


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