JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2020, Vol. 55 ›› Issue (1): 117-126.doi: 10.6040/j.issn.1671-9352.0.2019.362

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Application of entropy weight-TOPSIS method to drought resistance evaluation of common afforestation tree species in the lithoid hilly area of North China

Ze-dong LI1(),Zhen CAO1,Ru-ming ZHANG1,Yi-ran LI1,Tian-tian CHENG2,Yong-tao ZHANG1,*()   

  1. 1. Forestry College, Shandong Agricultural University, Shandong Provincial Key Laboratory of Soil Erosion and Ecological Restoration, Mountain Tai Forest Ecosystem Research Station of State Forestry Administration, Taian 271018, Shandong, China
    2. Office of the Development of Laiwu Water Conservancy, Laiwu 271100, Shandong, China
  • Received:2019-05-31 Online:2020-01-20 Published:2020-01-10
  • Contact: Yong-tao ZHANG E-mail:lizedong19940708@163.com;yongtaozhang@126.com

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Abstract:

In order to explore the application of entropy weight-TOPSIS method in plant drought resistance evaluation, taking potted water control as experimental method and seedlings of 7 common afforestation tree species in lithoid hilly area of North China such as F.chinensis were used as experimental materials, then measured their net photosynthetic rate (Pn), chlorophyll content, stomatal conductance(gs), water use efficiency (WUE), malondialdehyde (MDA) content, cell membrane permeability, superoxide dismutase (SOD) activity, proline content and relative water content of the leaves. The responses of these indicators to drought stress were analyzed, and the photosynthesis and osmotic adjustment effects of different plants under drought stress were evaluated. The results showed that, under drought stress, the Ci of photosynthetic effect and osmotic regulation effect of G.sinensis were higher than those of other tree species, which were 0.669 and 0.528, this indicates that the G.sinensis has the strongest drought resistance. Based on entropy weight-TOPSIS principle, the drought resistance of 7 tree species was evaluated by comprehensive evaluation: G.sinensis>M.azedarach>Q.acutissima>R.pseudoacacia>C.coggygria>F.chinensis>K.paniculata. The results of drought resistance evaluation of tree species based on entropy weight-TOPSIS method were consistent with the actual growth of plants and previous studies. So the comprehensive evaluation of the drought resistance of the plant is feasible by using the method.

Key words: entropy weight-TOPSIS method, lithoid hilly area of North China, drought resistance evaluation

CLC Number: 

  • S175.1

Fig.1

Effect of drought stress on plant photosynthesis"

Table 1

Entropy values and weights of various evaluation indicators of plant photosynthesis under drought stress"

树种 Pn下降程度/% 叶绿素含量/(μg·g-1) 气孔导度/(μmol·m-2·s-1) 水分利用效率/(mmol·mol-1)
白蜡 0.987 21.324 144.800 1.958
刺槐 0.812 8.914 123.200 1.717
麻栎 0.683 15.019 94.833 2.140
黄栌 0.770 14.073 116.000 2.682
皂荚 0.149 16.429 256.067 1.748
苦楝 1.000 33.479 111.067 2.681
栾树 1.028 18.217 104.583 2.283
熵值 0.461 0.287 0.285 0.268
权重 0.200 0.264 0.265 0.271

Table 2

Photosynthesis Ci values and ranking results of different tree species under drought stress"

树种 D+ D- Ci 排序
白蜡 0.188 0.073 0.280 3
刺槐 0.220 0.021 0.086 7
麻栎 0.206 0.039 0.160 6
黄栌 0.203 0.055 0.213 4
皂荚 0.097 0.196 0.669 1
苦楝 0.186 0.134 0.419 2
栾树 0.205 0.055 0.211 5

Table 3

Entropy values and weights of each evaluation index of plant osmotic adjustment under drought stress"

树种 MDA含量上升幅度/% 细胞膜透性/% SOD活性/(U·g-1) 脯氨酸含量/(mg·g-1) 叶片相对含水量/%
白蜡 42.206 42.547 172.062 18.335 38.792
刺槐 49.296 19.623 171.689 232.587 19.577
麻栎 30.394 29.312 271.181 20.555 6.744
黄栌 40.456 20.212 244.384 154.906 39.328
皂荚 75.912 38.680 180.452 233.011 11.347
苦楝 45.250 24.817 215.662 542.275 36.179
栾树 52.792 34.426 221.493 80.049 33.403
熵值 0.273 0.275 0.268 0.407 0.357
权重 0.213 0.212 0.214 0.173 0.188

Table 4

Ci value and ranking results of osmotic adjustment of different tree species under drought stress"

树种 D+ D- Ci 排序Rank
白蜡 0.158 0.037 0.191 7
刺槐 0.100 0.086 0.462 2
麻栎 0.142 0.083 0.370 4
黄栌 0.107 0.082 0.436 3
皂荚 0.124 0.058 0.318 5
苦楝 0.051 0.147 0.740 1
栾树 0.141 0.035 0.201 6

Table 5

Entropy values and weights of plant evaluation indicators under drought stress"

树种 Pn下降
程度/%		 叶绿素含量/
(μg·g-1)		 气孔导度/
(μmol·m-2·s-1)		 水分利用效率/
(mmol·mol-1)		 MDA含量
上升幅度/%		 细胞膜
透性/%		 SOD活性
/(U·g-1)		 脯氨酸含量
/(mg/g)		 叶片相对
含水量/%
白蜡 98.658 21.324 144.800 1.958 42.206 42.547 172.062 18.335 38.792
刺槐 81.159 8.914 123.200 1.717 49.296 19.623 171.689 232.587 19.577
麻栎 68.286 15.019 94.833 2.14 30.394 29.312 271.181 20.555 6.744
黄栌 77.016 14.073 116.000 2.682 40.456 20.212 244.384 154.906 39.328
皂荚 14.896 16.429 256.067 1.748 75.912 38.680 180.452 233.011 11.347
苦楝 100.000 33.479 111.067 2.681 45.250 24.817 215.662 542.275 36.179
栾树 102.830 18.217 104.583 2.283 52.792 34.426 221.493 80.049 33.403
熵值 0.461 0.287 0.285 0.268 0.273 0.275 0.268 0.407 0.287
权重 0.088 0.117 0.117 0.120 0.119 0.118 0.120 0.097 0.117

Table 6

Ci values and ranking results of different tree species under drought stress"

树种 D+ D- Ci 排序Rank
白蜡 0.139 0.038 0.216 6
刺槐 0.127 0.052 0.289 4
麻栎 0.121 0.084 0.411 3
黄栌 0.125 0.050 0.288 5
皂荚 0.088 0.099 0.528 1
苦楝 0.110 0.101 0.480 2
栾树 0.137 0.031 0.184 7

Fig.2

Effect of drought stress on plant osmotic adjustment"

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