scholarly journals Intergrating the Diversity Characteristics to Design a Quantitative Landscape Regionalization Framework: Case Study of Van Chan District, Yen Bai Province

2020 ◽  
Vol 36 (3) ◽  
Author(s):  
Pham Minh Tam ◽  
Pham Hoang Hai ◽  
Nguyen Cao Huan ◽  
Pham Thu Thuy
Keyword(s):  
Land Use ◽  
Natural Resource ◽  
Landscape Metrics ◽  
Resource Planning ◽  
Diversity Indices ◽  
Uncertainty Reduction ◽  
Driving Factor ◽  
Landscape Unit ◽  
Natural Resource Planning

Landscape regionalization plays an important role in delineating the heterogeneous characteristics of territory, and provide the spatial fundamental data for natural resource planning and environmental protection activities. The integrating of the diversity indices (landscape metrics) is expressed the change of landscape structure by the richness and evenness of land-use objectives. In this study, a quantitative landscape regionalization framework is designed from 03 group (attribute factor, driving factor, and diversity factor) of basic landscape unit. By using k-means clustering, the study is classified into 06 sub-regions of 68 watersheds in the administration boundary of Van Chan district, Yen Bai province. With the comparison of region numbers in statistical and practical dimensions, the optimal results are edited and determined 15 sub-regions for uncertainty reduction of landscape regionalization.

Complementary use of voting methods and interactive utility analysis in participatory strategic forest planning: experiences gained from western Finland

2007 ◽  
Vol 37 (5) ◽  
pp. 853-865 ◽  
Author(s):  
Jouni Pykäläinen ◽  
Veikko Hiltunen ◽  
Pekka Leskinen
Keyword(s):  
Natural Resource ◽  
Resource Planning ◽  
Forest Planning ◽  
Interval Scale ◽  
Utility Analysis ◽  
Preference Information ◽  
Working Groups ◽  
Ordinal Preference ◽  
Voting Methods ◽  
Natural Resource Planning

This paper introduces the concept of complementary use of voting methods and interactive utility analysis (IUA) in strategic natural resource planning in western Finland as organized by Metsähallitus. The voting and IUA methods were used by three working groups, the aim in using these methods being to support the working groups in formulating their decision proposals for Metsähallitus. Ordinal preference information was collected by using the voting methods, whereas the IUA method defined the participants’ preferences by using the interval scale. In all the three working groups, four out of seven alternatives shared the first place in ranking when applying the voting methods, and one alternative was priorized over the other alternatives when using the IUA method. The stakeholders’ feedback indicated that the methods used were not too difficult to use and understand. The IUA method was especially efficient in promoting the participants’ learning process, which as a consequence made formulation of the decision proposal easier for them. It was also noticed that the standard versions of the voting methods do not necessarily fulfill the needs of decision support in strategic natural resource planning as such. Instead, complementary use with more profound methods (e.g., IUA) may be needed.

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