Evaluation of Forest Ecological Security and Its Influencing Factors in Multi-Climatic Zones: A Case Study of Yunnan Province
Abstract
:1. Introduction
2. Materials and Methods
2.1. Research Area
2.2. Data Source
2.3. Construction of the Evaluation Index System
2.4. Evaluation Model and Data Processing
2.4.1. Calculation of ESI
2.4.2. Calculation of Forest Pressure Index
2.4.3. Entropy Weighting
2.4.4. Expert Weighting
2.4.5. Fuzzy Matter-Element Method
- (1)
- Calculation of optimal membership
- (2)
- Calculation of standard fuzzy matter-element and difference square fuzzy matter-element
2.4.6. Euclidean Closeness and Comprehensive Evaluation
2.5. Spatial Distribution of the Evaluation Index
2.6. Correlation Analysis of Indicators
3. Results
3.1. System of Evaluation Index
3.2. Forest Security State Index and Its Spatial Distribution
3.3. Forest Security Pressure Index and Its Spatial Distribution
3.4. Forest Ecological Security Index and Its Spatial Distribution
3.5. Factors Influencing Forest Ecological Security
3.5.1. Prefecture-Specific Influences
3.5.2. Influencing Factors in Yunnan Province
4. Discussion
4.1. Forest State Index Is the Main Influencing Factor of Forest Ecological Security
4.2. Negative Influence of Industrial Structure on Forest Ecological Security
4.3. Socioeconomic Conditions Significantly Affect Forest Ecological Security
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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First-Level Index | Second-Level Index | Code | Specific Indicator | Nature of Indicator | Source or Calculation Formula |
---|---|---|---|---|---|
Forest state | Basic conditions | J01 | Annual precipitation | + | Yearbook data |
J02 | Annual mean temperature | + | Yearbook data | ||
J03 | Soil erosion intensity | − | (0.1 × light loss increase or decrease acreage + 0.15 × moderate loss increase or decrease acreage + 0.2 × strong loss increase or decrease acreage + 0.25 × very strong loss increase or decrease acreage + 0.3 × strong loss increase or decrease acreage)/land acreage | ||
Resource class | F01 | Forest coverage | + | (Forest land acreage + national special shrub land acreage)/land acreage × 100 % | |
F02 | Forest stock volume per unit acreage | + | Forest volume/forest acreage | ||
F03 | Forest ecological service function per unit acreage | + | Scientific research data | ||
F04 | Percentage of nature forest acreage | + | Nature forest acreage/forest acreage | ||
F05 | Percentage of nature forest accumulation | + | Nature forest living stock/forest living stock | ||
F06 | Forest age group structure | + | (0.02 × young forest stock + 0.1 × middle-aged forest stock + 0.17 × near-mature forest stock + 0.47 × mature forest stock + 0.24 × over-mature forest stock)/arbor forest stock | ||
F07 | Percentage of mixed forest | + | Mixed forest acreage/arbor forest acreage | ||
F08 | Percentage of public welfare forest | + | Public welfare forest acreage/forestry acreage | ||
F09 | Forest stock volume | + | Sum of forest stock | ||
F10 | National key protected wild plant species | + | Survey data | ||
Disaster condition | F11 | Forest fire afflicted rate | − | Forest fire affected acreage/forest land acreage | |
F12 | Forest pest disaster rate | − | Forest pest disaster acreage/forest acreage | ||
Environment status | F13 | PM10 | − | Yearbook data | |
F14 | Days when the air quality reaches and is better than the second level | + | Days of air quality monitoring reaching and better than level 2 within 1 year, yearbook data | ||
F15 | Nitrogen dioxide discharge strength | − | Industrial nitrogen dioxide discharge/land acreage a | ||
F16 | Sulphur dioxide discharge strength | − | Industrial sulfur dioxide discharge/land acreage | ||
Pressure | General pressure | Y01 | Population density | − | Year-end total population/land acreage |
Y02 | Percentage of primary industry | − | Primary industry value/total output value | ||
Y03 | Percentage of secondary industry | − | Secondary industry value/total output value | ||
Behavior pressure | Y04 | Fertilization intensity | − | Fertilizer application rate/cultivated land acreage | |
Y05 | Industrial energy consumption | − | Yearbook data | ||
Y06 | Forest harvesting intensity | − | Actual annual forest harvesting/living tree stock | ||
Maintenance activity | Y07 | Percentage of nature reserve acreage | + | Nature reserve acreage/land acreage | |
Y08 | Changes in forest coverage | + | Changes in forest coverage from 2016 to 2017 | ||
Y09 | Government forestry investment intensity | + | Government forestry investment/land acreage (ten thousand yuan/hectare) |
Prefectures | Forest Status | Pressure | ||||||
---|---|---|---|---|---|---|---|---|
Forest Coverage/% | Percentage of Nature Forest Acreage/% | Percentage of Nature Forest Accumulation/% | Percentage of Public Welfare Forest/% | Population Density/(People/km2) | Percentage of Secondary Industry/% | Forest Harvesting Intensity/(10,000 m3) | Percentage of Nature Reserve Acreage/% | |
Qujing | 43.33 | 60.09 | 52.33 | 52.13 | 209 | 39.39 | 29.02 | 9.56 |
Baoshan | 65.01 | 58.42 | 68.27 | 21.81 | 135 | 34.79 | 50.66 | 5.52 |
Zhaotong | 34.98 | 52.12 | 51.92 | 45.93 | 242 | 43.5 | 20.88 | 4.82 |
Kunming | 48.76 | 69.54 | 75.18 | 60.47 | 317 | 39.98 | 12.48 | 1.32 |
Wenshan | 42.24 | 70.07 | 70.15 | 33.82 | 115 | 35.91 | 52.37 | 2.99 |
Puer | 68.83 | 71.79 | 78.65 | 25.87 | 59 | 34.8 | 153.95 | 1.83 |
Honghe | 47.27 | 68.73 | 78.42 | 39.17 | 144 | 45.25 | 59.58 | 5.64 |
Dehong | 68.78 | 67.84 | 79.06 | 28.29 | 114 | 24.56 | 24.88 | 4.62 |
Lincang | 64.69 | 68.64 | 85.33 | 26.84 | 106 | 33.82 | 39.31 | 8.56 |
Dali | 60.81 | 51.95 | 60.23 | 42.95 | 125 | 39.53 | 31.98 | 2.87 |
Yuxi | 56.7 | 77.03 | 83.88 | 52.46 | 158 | 54.95 | 15.73 | 6.58 |
Chuxiong | 65.86 | 65.53 | 64.27 | 44.89 | 96 | 38.25 | 43.14 | 6.63 |
Lijiang | 68.48 | 68.69 | 72.41 | 48.58 | 62 | 39.78 | 30.80 | 1.98 |
Xishuangbanna | 80.79 | 63.59 | 78.74 | 55.41 | 61 | 28.17 | 44.34 | 20.24 |
Diqing | 75.03 | 97.17 | 99.15 | 92.25 | 18 | 34.95 | 15.70 | 13.81 |
Nujiang | 75.31 | 92.91 | 96.96 | 63.73 | 37 | 30.38 | 20.01 | 27.43 |
Indicator | Qujing | Baoshan | Zhaotong | Kunming | Wenshan | Puer | Honghe | Dehong | Lincang | Dali | Yuxi | Chuxiong | Lijiang | Xishuangbanna | Diqing | Nujiang |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J01 | 0.95 | 0.916 | 0.986 * | 0.952 | 0.977 * | 0.997 * | 0.834 | 0.954 | 0.929 | 0.951 | 0.933 | 0.921 | 0.881 | 0.968 | 0.886 | 0.767 |
J02 | 0.957 * | 0.997 * | 0.945 | 0.977 * | 0.984 * | 0.998 * | 0.928 | 0.944 | 0.996 * | 0.941 | 0.976 * | 0.921 | 0.968 * | 0.984 * | 0.893 | 0.758 |
J03 | 0.888 | 0.902 | 0.993 * | 0.959 | 0.791 | 0.935 | 0.946 * | 0.912 | 0.915 | 0.928 | 0.877 | 0.867 | 0.962 | 0.862 | 0.834 | 0.782 |
F01 | 0.987 * | 0.94 | 0.981 * | 0.938 | 0.887 | 0.926 | 0.927 | 0.96 | 0.963 | 0.929 | 0.897 | 0.891 | 0.981 * | 0.994 * | 0.989 * | 0.976 * |
F02 | 0.932 | 0.889 | 0.965 | 0.917 | 0.924 | 0.988 * | 0.937 | 0.961 | 0.903 | 0.927 | 0.851 | 0.856 | 0.893 | 0.947 | 0.794 | 0.845 |
F03 | 0.988 * | 0.951 | 0.968 * | 0.911 | 0.946 | 0.965 | 0.925 | 0.97 | 0.938 | 0.978 * | 0.984 * | 0.926 | 0.94 | 0.971 * | 0.956 * | 0.913 |
F04 | 0.941 | 0.994 * | 0.921 | 0.981 * | 0.943 | 0.973 | 0.96 * | 0.987 * | 0.986 * | 0.996 * | 0.996 * | 0.967 * | 0.896 | 0.951 | 0.975 * | 0.964 * |
F05 | 0.942 | 0.935 | 0.918 | 0.995 * | 0.923 | 0.982 * | 0.956 * | 0.936 | 0.954 | 0.976 * | 0.976 | 0.985 * | 0.913 | 0.977 * | 0.993 * | 0.993 * |
F06 | 0.974 * | 0.991 * | 0.952 | 0.921 | 0.979 * | 0.977 | 0.937 | 0.978 | 0.901 | 0.993 * | 0.896 | 0.998 * | 0.913 | 0.978 * | 0.873 | 0.851 |
F07 | 0.983 * | 0.841 | 0.925 | 0.783 | 0.916 | 0.82 | 0.891 | 0.815 | 0.863 | 0.872 | 0.935 | 0.747 | 0.777 | 0.777 | 0.877 | 0.76 |
F08 | 0.848 | 0.914 | 0.912 | 0.862 | 0.97 * | 0.951 | 0.879 | 0.876 | 0.996* | 0.953 | 0.908 | 0.932 | 0.955 | 0.84 | 0.96 * | 0.791 |
F09 | 0.874 | 0.868 | 0.863 | 0.97 * | 0.832 | 0.996 * | 0.651 | 0.98* | 0.974 | 0.942 | 0.84 | 0.828 | 0.94 | 0.857 | 0.923 | 0.755 |
F10 | 0.938 | 0.837 | 0.923 | 0.969 | 0.963 | 0.889 | 0.858 | 0.911 | 0.859 | 0.629 | 0.643 | 0.905 | 0.903 | 0.969 | 0.841 | 0.779 |
F11 | 0.766 | 0.923 | 0.749 | 0.807 | 0.787 | 0.778 | 0.942 | 0.793 | 0.742 | 0.883 | 0.66 | 0.723 | 0.622 | 0.892 | 0.333 | 0.774 |
F12 | 0.683 | 0.972 * | 0.721 | 0.812 | 0.919 | 0.981 * | 0.783 | 0.648 | 0.916 | 0.647 | 0.725 | 0.847 | 0.895 | 0.703 | 0.868 | 0.669 |
F13 | 0.868 | 0.959 | 0.983 * | 0.926 | 0.857 | 0.892 | 0.985 * | 0.975 | 0.942 | 0.925 | 0.993 * | 0.885 | 0.859 | 0.918 | 0.866 | 0.817 |
F14 | 0.941 | 0.96 | 0.952 | 0.964 | 0.975 * | 0.961 | 0.978 * | 0.996 * | 0.986 * | 0.994 * | 0.999 * | 0.979 * | 0.987 * | 0.948 | 0.909 | 0.906 |
F15 | 0.738 | 0.916 | 0.935 | 0.96 | 0.966 * | 0.947 | 0.944 | 0.975 | 0.949 | 0.907 | 0.96 | 0.938 | 0.961 | 0.934 | 0.768 | 0.865 |
F16 | 0.91 | 0.813 | 0.903 | 0.972 * | 0.672 | 0.851 | 0.905 | 0.982 * | 0.839 | 0.856 | 0.882 | 0.88 | 0.814 | 0.995 * | 0.749 | 0.852 |
Indicator | Qujing | Baoshan | Zhaotong | Kunming | Wenshan | Puer | Honghe | Dehong | Lincang | Dali | Yuxi | Chuxiong | Lijiang | Xishuangbanna | Diqing | Nujiang |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Y01 | 0.609 | 0.771 | 0.875 | 0.936 | 0.722 | 0.862 | 0.853 | 0.96 | 0.924 | 0.941 | 0.97 | 0.835 | 0.979 * | 0.927 | 0.73 | 0.695 |
Y02 | 0.817 | 0.953 | 0.882 | 0.856 | 0.956 | 0.958 | 0.834 | 0.827 | 0.978 * | 0.957 | 0.951 | 0.893 | 0.977 * | 0.932 | 0.866 | 0.734 |
Y03 | 0.921 | 0.941 | 0.82 | 0.988 * | 0.915 | 0.949 | 1 * | 0.98 * | 0.987 * | 0.922 | 0.984 * | 0.911 | 1 * | 0.851 | 0.851 | 0.877 |
Y04 | 0.89 | 0.883 | 0.959 | 0.946 | 0.909 | 0.878 | 0.835 | 0.924 | 0.938 | 0.989 * | 0.902 | 0.999 * | 0.899 | 0.966 | 0.788 | 0.944 * |
Y05 | 0.472 | 0.529 | 0.748 | 0.874 | 0.953 | 0.805 | 0.807 | 0.813 | 0.836 | 0.618 | 0.871 | 0.736 | 0.838 | 0.791 | 0.705 | 0.677 |
Y06 | 0.833 | 0.941 | 0.842 | 0.881 | 0.869 | 0.944 | 0.478 | 0.995 * | 0.97 | 0.843 | 0.9 | 0.969 * | 0.909 | 0.84 | 0.772 | 0.743 |
Y07 | 0.798 | 0.886 | 0.985 * | 0.934 | 0.899 | 0.799 | 0.792 | 0.95 | 0.952 | 0.911 | 0.81 | 0.625 | 0.793 | 0.834 | 0.54 | 0.85 |
Y08 | 0.932 | 0.995 * | 0.755 | 0.697 | 0.686 | 0.753 | 0.809 | 0.656 | 0.728 | 0.548 | 0.842 | 0.775 | 0.796 | 0.808 | 0.694 | 0.674 |
Y09 | 0.874 | 0.962 * | 0.899 | 0.884 | 0.891 | 0.886 | 0.926 | 0.886 | 0.9 | 0.953 | 0.961 | 0.907 | 0.898 | 0.868 | 0.945 * | 0.924 |
Indicator | Grey Correlation Degree | Ranking | Indicator | Grey Correlation Degree | Ranking |
---|---|---|---|---|---|
J01 | 0.925 | 9 | F12 | 0.799 | 25 |
J02 | 0.948 | 5 | F13 | 0.916 | 11 |
J03 | 0.897 | 17 | F14 | 0.965 | 1 |
F01 | 0.948 | 6 | F15 | 0.916 | 10 |
F02 | 0.908 | 15 | F16 | 0.867 | 19 |
F03 | 0.952 | 4 | Y01 | 0.849 | 22 |
F04 | 0.964 | 2 | Y02 | 0.898 | 16 |
F05 | 0.960 | 3 | Y08 | 0.931 | 8 |
F06 | 0.945 | 7 | Y04 | 0.916 | 12 |
F07 | 0.849 | 23 | Y05 | 0.754 | 28 |
F08 | 0.909 | 14 | Y06 | 0.858 | 21 |
F09 | 0.881 | 18 | Y07 | 0.835 | 24 |
F10 | 0.863 | 20 | Y08 | 0.759 | 27 |
F11 | 0.761 | 26 | Y09 | 0.910 | 13 |
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Chen, Z.; Zhang, C.; Raza, S.T. Evaluation of Forest Ecological Security and Its Influencing Factors in Multi-Climatic Zones: A Case Study of Yunnan Province. Appl. Sci. 2023, 13, 12345. https://doi.org/10.3390/app132212345
Chen Z, Zhang C, Raza ST. Evaluation of Forest Ecological Security and Its Influencing Factors in Multi-Climatic Zones: A Case Study of Yunnan Province. Applied Sciences. 2023; 13(22):12345. https://doi.org/10.3390/app132212345
Chicago/Turabian StyleChen, Zhe, Chunhong Zhang, and Syed Turab Raza. 2023. "Evaluation of Forest Ecological Security and Its Influencing Factors in Multi-Climatic Zones: A Case Study of Yunnan Province" Applied Sciences 13, no. 22: 12345. https://doi.org/10.3390/app132212345
APA StyleChen, Z., Zhang, C., & Raza, S. T. (2023). Evaluation of Forest Ecological Security and Its Influencing Factors in Multi-Climatic Zones: A Case Study of Yunnan Province. Applied Sciences, 13(22), 12345. https://doi.org/10.3390/app132212345