Journal of Resources and Ecology >
Ecological Sensitivity Assessment of the Southeastern Qinghai-Tibet Plateau using GIS and AHP—A Case Study of the Nyingchi Region
WANG Yongxiang, E-mail: wangyx0901@163.com |
Received date: 2021-08-11
Accepted date: 2022-04-30
Online published: 2023-01-31
Supported by
The National Natural Science Foundation of China(32060370)
The Science Foundation of Ministry of Education of The People’s Republic of China(18YJC850004)
This paper took the Nyingchi area in southeastern Tibet Autonomous Region of China as the research area, and selected five indicators of elevation, slope, slope direction, normalized difference vegetation index (NDVI) and water body as the evaluation system based on the current situation of domestic and foreign research and field investigation. The indicators were analyzed by the AHP method for weighting, and then an ArcGIS overlay analysis was applied. The results show that the ecological sensitivity of the Nyingchi region is generally increasing from the south of Nyingchi to the north of Nyingchi. The northern, western and southwestern parts of Nyingchi are extremely sensitive or highly sensitive, while the southern part is mostly insensitive or mildly sensitive ecologically. The proportions of areas for each sensitivity level are: not sensitive 54.81%, light sensitive 11.97%, moderately sensitive 10.34%, highly sensitive 8.65%, and extremely sensitive 14.23%. The results indicate that the overall ecological sensitivity of the Nyingchi region is low and this region is performing well with respect to ecological environmental protection. This study can provide some suggestions for targeted improvements of the ecological environmental protection in the Nyingchi region and even in the Tibetan Plateau region.
Key words: Qinghai-Tibet Plateau; Nyingchi; ecologically sensitive; NDVI; AHP
WANG Yongxiang , WEI Jiaxuan , ZHOU Juan , YANG Jiajia , XU Yuanyuan , CHEN Yuxin , HAO Jiangcheng , CHENG Wuxue . Ecological Sensitivity Assessment of the Southeastern Qinghai-Tibet Plateau using GIS and AHP—A Case Study of the Nyingchi Region[J]. Journal of Resources and Ecology, 2023 , 14(1) : 158 -166 . DOI: 10.5814/j.issn.1674-764x.2023.01.015
Fig. 1 Overview of the study area |
Table 1 Ecological sensitivity assessment factors and their classifications |
Level | The evaluation factors | ||||
---|---|---|---|---|---|
Altitude (m) | Slope (°) | Aspect | NDVI | Distance from water (m) | |
1 | <1500 | 0-10 | Plane, south | 0.5-1.0 | - |
2 | 1500-2500 | 10-25 | Southeast, southwest | 0.3-0.5 | >1000 |
3 | 2500-3800 | 25-45 | East, west | 0-0.3 | 500-1000 |
4 | 3800-4500 | 45-60 | Northeast, northwest | -1.0-0 | 200-500 |
5 | >4500 | >60 | North | - | 0-200 |
Table 2 The scale of each criterion |
Scale | Meaning |
---|---|
1 | The two factors are equally important |
3 | The two factors are slightly more important than the former |
5 | The two factors are obviously more important than the former |
7 | The two factors are more strongly important than the former |
9 | The two factors are extremely important compared to the former |
2, 4, 6, 8 | Importance is in the middle of the above judgment levels |
Reciprocal | If the ratio of the importance of factor i to j is A, then the ratio of the importance of factor j to i is B |
Note: Scale means how important an indicator is when compared in pairs, with odd numbers 1, 3, 5, 7, and 9 indicating varying degrees of importance, and even numbers 2, 4, 6, and 8 indicating “intermediate” importance levels between them. For example, scale 2 indicates that the importance of the index factor is between scale 1 and scale 3 when compared in pairs. |
Table 3 Judgment matrix |
Index | b1 | … | bi | … | bj | … | bn |
---|---|---|---|---|---|---|---|
b1 | 1 | … | bi1 | … | bj1 | … | bn1 |
… | … | … | … | … | … | … | … |
bi | b1i | … | 1 | … | bji | … | bni |
… | … | … | … | … | … | … | … |
bj | b1j | … | bij | … | 1 | … | bnj |
… | … | … | … | … | … | … | … |
bn | b1n | … | bin | … | bjn | … | 1 |
Note: Saaty (2004) uses a method of constructing a pairwise comparison matrix for determining the relative importance of pairwise comparisons of factors. There are n sub-factor sets X={x1, x2, …, xn}, and then the weight of an upper-level factor Z is calculated. Two sub-factors xi and xj are taken from the set, where i=1, 2, 3, …, n; j=1, 2, 3, …, n. bij represents the ratio of the weights of xi and xj to Z, so n×n values are obtained, thus constructing the matrix A=(bij)n×n, where A is called the judgment matrix of Z-X or the pairwise comparison matrix. |
Fig. 2 Method flow chart |
Fig. 3 Nyingchi elevation sensitivity reclassification |
Fig. 4 Nyingchi slope sensitivity reclassification |
Fig. 5 NDVI sensitivity reclassification of Nyingchi |
Fig. 6 Reclassification of slope aspect sensitivity in Nyingchi |
Fig. 7 Water sensitivity reclassification in Nyingchi |
Fig. 8 Calculation results of comprehensive ecological sensitivity in Nyingchi |
Fig. 9 Reclassification diagram of the ecological sensitivity calculation results |
Table 4 Ecological sensitivity grade areas and percentages of Nyingchi |
Level | Percentage (%) | Area (km2) |
---|---|---|
Not sensitive | 54.81 | 64124.25 |
Light sensitive | 11.97 | 14006.89 |
Moderate sensitive | 10.34 | 12102.99 |
Highly sensitive | 8.65 | 10122.21 |
Extremely sensitive | 14.23 | 16643.65 |
Table 5 Existing nature reserves in Nyingchi and their establishment years |
Year | Name |
---|---|
1985 | Motuo Nature Reserve |
Chayu Nature Reserve | |
Bo Mi Gang Xiang Nature Reserve | |
Nyingchi Baige Nature Reserve | |
1993 | Nyingchi Dongkuchibok Nature Reserve |
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