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[1]CAO Huan,SU Wei-ci.Studies on Ecosystem Health Evaluation Based on Fuzzy Mathematics Method in Karst Areas[J].Research of Soil and Water Conservation,2009,16(03):148-154.

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Studies on Ecosystem Health Evaluation Based on Fuzzy Mathematics Method in Karst Areas

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 16 Number of periods: 2009 03 Page number: 148-154 Column: Public date: 2009-06-20

Title:: Studies on Ecosystem Health Evaluation Based on Fuzzy Mathematics Method in Karst Areas

Author(s):: CAO Huan¹, SU Wei-ci^2,3; 1. Resources and Environment College of Guizhou University, Guiyang 550003, China;
2. Institute of Mountain Resources, Guizhou Academy, Guiyang 550001, China;
3. Geography Science Institute, Chongqing Normal University, Chongqing 400047, China

Keywords:: karst ecosystem health; evaluation index; evaluation model; Bijie area

CLC:: P642.25;X171.1

DOI:: -

Abstract:: The evaluation method of karst ecosystem health was emphatically discussed. By qualitative and quantitative analysis, a set of relatively integrated evaluation indexes system was brought forth. Moreover, entropy was employed to give indexes weight, and fuzzy mathematics was utilized to establish the evaluation model. Then the situation of karst ecosystem health in Bijie area was studied as a case. The results indicated that the Bijie area in the karst ecosystem health functions belong to the structure of the sub-health, sustainable use of capacity belong to the unhealthy state, dynamic change belong to the healthy state. Subsequently, by contrastive evaluation with Guilin,Kunming as the reference karst areas,the integrated conditions of karst ecosystem health of these four areas followed as the sequence:Guilin>Kunming>Bijie area. Consequently, the evaluation could made clear the condition and influencing factors of karst ecosystem health of Bijie area. The health gap between Bijie area and the other three karst areas provided a scientific basis for programming and protecting of karst ecology of Bijie area.

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