Quantifying Grass Coverage Trends to Identify the Hot Plots of Grassland Degradation in the Tibetan Plateau during 2000–2019
Abstract
:1. Introduction
2. Materials
2.1. Study Area
2.2. Data Sources
3. Methods
3.1. Calculation of FVC
3.2. Detection of FVCGP Trend
3.3. Classification of Grassland Changes
3.4. Identification of Grassland Degradation Hot Plots
3.5. Spatial Analyses of Grassland Change Trends
3.6. Analyses of Climate and Grazing Intensity on Grassland Changes
4. Results
4.1. Spatial Distribution of Grassland and Its Green Grass Period
4.2. Spatial Variation of FVCGP and FVCMS Trends
4.3. Spatial Distribution of Decreased Grasslands and the Degradation Hot Plots
4.4. Influences of Climate and Grazing Intensity on Grassland Changes
5. Discussion
5.1. Uncertainties in the Identification of Grassland Change Trends
5.2. Heterogenety of Grassland Change Causes
5.3. Policy Implications
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Grassland Change Trends | Classification Criterion |
---|---|
Increased | Z > 1.96 or (0.675 ≤ Z ≤ 1.96 and FS% > 0.25) |
Not changed | |Z| ≤ 0.675 or (0.675 ≤ |Z| ≤ 1.96 and |FS%| ≤ 0.25) |
Decreased | Z < −1.96 or (−1.96 ≤ Z ≤ −0.675 and FS% < −0.25) |
Green Grass Period (Month) | Area (Mha) | Proportion (%) | Mean FVCGP |
---|---|---|---|
<3 | 20.09 | 13.86 | 10.87 |
3–4 | 45.06 | 31.10 | 22.53 |
4–5 | 41.68 | 28.76 | 40.96 |
5–6 | 16.64 | 11.48 | 52.39 |
>6 | 21.46 | 14.80 | 53.25 |
Grassland Change Trends | Area (Mha) | Proportion (%) | FVCGP (%) | FS% (%/year) |
---|---|---|---|---|
Increased | 90.03 | 62.12 | 31.31 | 1.24 |
Not changed | 41.07 | 28.34 | 40.02 | 0.08 |
Decreased | 13.83 | 9.54 | 35.62 | −0.83 |
Trend Types | FVCMS Trends | FVCGP Trends | Consistent Trends |
---|---|---|---|
Increased | 63.62 | 62.12 | 57.71 |
Not changed | 27.59 | 28.34 | 21.29 |
Decreased | 8.79 | 9.54 | 7.36 |
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Liu, Y.; Lu, C. Quantifying Grass Coverage Trends to Identify the Hot Plots of Grassland Degradation in the Tibetan Plateau during 2000–2019. Int. J. Environ. Res. Public Health 2021, 18, 416. https://doi.org/10.3390/ijerph18020416
Liu Y, Lu C. Quantifying Grass Coverage Trends to Identify the Hot Plots of Grassland Degradation in the Tibetan Plateau during 2000–2019. International Journal of Environmental Research and Public Health. 2021; 18(2):416. https://doi.org/10.3390/ijerph18020416
Chicago/Turabian StyleLiu, Yaqun, and Changhe Lu. 2021. "Quantifying Grass Coverage Trends to Identify the Hot Plots of Grassland Degradation in the Tibetan Plateau during 2000–2019" International Journal of Environmental Research and Public Health 18, no. 2: 416. https://doi.org/10.3390/ijerph18020416