Journal of Geographical Sciences >
Effects of vegetation restoration on local microclimate on the Loess Plateau
Wang Chenxi (1997-), Master Candidate, specialized in environmental ecology. E-mail: wangcx@m.scnu.edu.cn |
Received date: 2021-06-03
Accepted date: 2021-10-20
Online published: 2022-04-25
Supported by
National Natural Science Foundation of China(41771118)
National Natural Science Foundation of China(42071144)
The Fundamental Research Funds for the Central Universities(GK202003060)
With the implementation of the Grain for Green Project, vegetation cover has experienced great changes throughout the Loess Plateau (LP). These changes substantially influence the intensity of evapotranspiration (ET), thereby regulating the local microclimate. In this study, we estimated ET based on the Penman-Monteith (PM) method and Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model and quantitatively estimated the mass of water vapor and heat absorption on the LP. We analyzed the regulatory effect of vegetation restoration on local microclimate from 2000 to 2015 and found the following: (1) Both the leaf area index (LAI) value and actual ET increased significantly across the region during the study period, and there was a significant positive correlation between them in spatial patterns and temporal trends. (2) Vegetation regulated the local microclimate through ET, which increased the absolute humidity by 2.76-3.29 g m‒3, increased the relative humidity by 15.43%-19.31% and reduced the temperature by 5.38-6.43°C per day from June to September. (3) The cooling and humidifying effects of vegetation were also affected by the temperature on the LP. (4) Correlation analysis showed that LAI was significantly correlated with temperature at the monthly scale, and the response of vegetation growth to temperature had no time-lag effect. This paper presents new insights into quantitatively assessing the regulatory effect of vegetation on the local microclimate through ET and helps to objectively evaluate the ecological effects of the Grain for Green Project on the LP.
WANG Chenxi , LIANG Wei , YAN Jianwu , JIN Zhao , ZHANG Weibin , LI Xiaofei . Effects of vegetation restoration on local microclimate on the Loess Plateau[J]. Journal of Geographical Sciences, 2022 , 32(2) : 291 -316 . DOI: 10.1007/s11442-022-1948-y
Figure 1 Location of the Loess Plateau and the four observation stations for validation |
Table 1 The effect of vegetation restoration on the Loess Plateau |
Regions | Improved significantly (%) | Improved nonsignificantly (%) | Basically unchanged (%) | Degraded nonsignificantly (%) | Degraded significantly (%) |
---|---|---|---|---|---|
Inner Mongolia | 46.13 | 38.28 | 8.79 | 5.94 | 0.87 |
Gansu | 68.19 | 26.46 | 4.03 | 1.19 | 0.13 |
Shanxi | 79.93 | 16.38 | 0.47 | 2.68 | 0.54 |
Qinghai | 42.88 | 44.63 | 3.50 | 8.10 | 0.90 |
Shaanxi | 75.81 | 18.53 | 0.51 | 3.86 | 1.29 |
Ningxia | 52.01 | 34.59 | 9.11 | 3.23 | 1.06 |
Henan | 53.08 | 33.52 | 0.76 | 10.24 | 2.40 |
∑ | 65.67 | 26.20 | 3.51 | 3.82 | 0.80 |
Figure 2 Changes in the growing season LAI on the Loess Plateau |
Figure 3 Monthly time-series comparisons between estimated and observed ET from flux tower sites |
Figure 4 Monthly time-series comparisons between estimated and observed ET from two on-site measurements |
Figure 5 Monthly time-series comparisons between estimated ET and ET dataset from ETWatch model |
Figure 6 Interannual trend of ET in the growing season on the Loess Plateau |
Figure 7 Spatial distributions of (a) trend and (b) significance of actual ET in the growing season on the Loess Plateau |
Figure 8 Spatial distributions of (a) trend and (b) significance of potential ET in the growing season on the Loess Plateau |
Table 2 Absolute humidity increment during the growing season on the Loess Plateau |
Regions | Absolute humidity increment (g m‒3 d‒1) | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | |
Inner Mongolia | 1.76 | 1.67 | 2.02 | 2.19 | 2.11 | 1.73 | 1.86 | 1.94 | 2.09 | 1.90 | 1.94 | 1.77 | 2.31 | 2.43 | 2.29 | 1.87 |
Gansu | 2.67 | 2.68 | 2.67 | 2.90 | 2.76 | 2.78 | 2.68 | 2.79 | 2.92 | 2.72 | 2.82 | 2.67 | 3.04 | 3.19 | 3.20 | 3.05 |
Shanxi | 3.65 | 3.34 | 3.71 | 3.74 | 3.70 | 3.65 | 3.61 | 3.56 | 3.70 | 3.58 | 3.59 | 3.63 | 3.80 | 3.87 | 3.91 | 3.81 |
Qinghai | 3.17 | 3.26 | 3.12 | 3.30 | 3.18 | 3.25 | 3.24 | 3.23 | 3.26 | 3.18 | 3.36 | 3.16 | 3.24 | 3.24 | 3.22 | 3.11 |
Shaanxi | 3.27 | 3.15 | 3.51 | 3.54 | 3.44 | 3.35 | 3.32 | 3.39 | 3.49 | 3.36 | 3.30 | 3.27 | 3.69 | 3.66 | 3.75 | 3.64 |
Ningxia | 1.98 | 1.94 | 2.14 | 2.25 | 2.20 | 1.81 | 1.91 | 2.04 | 1.97 | 2.06 | 2.27 | 2.02 | 2.43 | 2.62 | 2.66 | 2.24 |
Henan | 4.11 | 3.88 | 3.89 | 4.06 | 4.20 | 3.86 | 3.85 | 3.81 | 3.85 | 3.71 | 3.56 | 3.13 | 3.79 | 3.64 | 3.79 | 4.01 |
∑ | 2.88 | 2.76 | 3.00 | 3.11 | 3.04 | 2.89 | 2.89 | 2.94 | 3.04 | 2.91 | 2.95 | 2.85 | 3.21 | 3.28 | 3.29 | 3.10 |
Table 3 Relative humidity increment during the growing season on the Loess Plateau |
Regions | Relative humidity increment (% d‒1) | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | |
Inner Mongolia | 9.60 | 8.96 | 11.23 | 12.56 | 12.46 | 9.08 | 10.18 | 10.83 | 11.91 | 10.49 | 10.24 | 9.56 | 13.32 | 13.40 | 13.33 | 10.78 |
Gansu | 16.46 | 16.58 | 16.29 | 18.42 | 17.66 | 16.89 | 15.94 | 17.75 | 18.48 | 16.77 | 17.06 | 16.13 | 18.93 | 19.40 | 20.67 | 19.62 |
Shanxi | 19.86 | 17.80 | 20.29 | 21.21 | 21.42 | 19.08 | 19.49 | 19.54 | 20.70 | 19.34 | 18.99 | 19.33 | 21.51 | 20.72 | 22.00 | 21.02 |
Qinghai | 24.88 | 25.47 | 24.20 | 26.39 | 25.87 | 25.04 | 24.45 | 25.82 | 26.09 | 24.82 | 24.91 | 23.51 | 25.26 | 24.43 | 25.63 | 24.65 |
Shaanxi | 17.27 | 16.43 | 18.36 | 19.22 | 18.90 | 17.11 | 17.21 | 18.40 | 18.97 | 17.86 | 17.01 | 16.85 | 20.04 | 18.85 | 20.40 | 19.59 |
Ningxia | 11.53 | 11.27 | 12.52 | 13.39 | 13.39 | 10.13 | 10.78 | 12.16 | 11.63 | 11.96 | 12.90 | 11.18 | 14.12 | 14.91 | 15.79 | 13.12 |
Henan | 18.80 | 17.17 | 17.06 | 19.36 | 19.85 | 17.21 | 17.23 | 17.82 | 17.85 | 16.83 | 16.17 | 13.66 | 17.14 | 15.29 | 18.25 | 19.44 |
∑ | 16.27 | 15.43 | 16.89 | 18.20 | 18.02 | 15.87 | 16.06 | 16.97 | 17.70 | 16.47 | 16.26 | 15.73 | 18.62 | 18.23 | 19.31 | 17.98 |
Table 4 Heat absorption during the growing season on the Loess Plateau |
Regions | Heat absorption (1017 kJ) | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | |
Inner Mongolia | 0.44 | 0.41 | 0.50 | 0.54 | 0.52 | 0.43 | 0.46 | 0.48 | 0.52 | 0.47 | 0.48 | 0.44 | 0.57 | 0.60 | 0.57 | 0.44 |
Gansu | 0.59 | 0.59 | 0.59 | 0.64 | 0.61 | 0.62 | 0.59 | 0.62 | 0.65 | 0.60 | 0.63 | 0.59 | 0.67 | 0.71 | 0.71 | 0.59 |
Shanxi | 1.17 | 1.07 | 1.19 | 1.20 | 1.19 | 1.17 | 1.15 | 1.14 | 1.19 | 1.14 | 1.15 | 1.16 | 1.22 | 1.24 | 1.25 | 1.17 |
Qinghai | 0.22 | 0.22 | 0.21 | 0.23 | 0.22 | 0.22 | 0.22 | 0.22 | 0.22 | 0.22 | 0.23 | 0.22 | 0.22 | 0.22 | 0.22 | 0.22 |
Shaanxi | 0.86 | 0.83 | 0.93 | 0.93 | 0.91 | 0.89 | 0.88 | 0.90 | 0.92 | 0.89 | 0.87 | 0.86 | 0.97 | 0.97 | 0.99 | 0.86 |
Ningxia | 0.20 | 0.20 | 0.22 | 0.23 | 0.22 | 0.18 | 0.19 | 0.21 | 0.20 | 0.21 | 0.23 | 0.21 | 0.25 | 0.27 | 0.27 | 0.20 |
Henan | 0.15 | 0.14 | 0.14 | 0.15 | 0.16 | 0.14 | 0.14 | 0.14 | 0.14 | 0.14 | 0.13 | 0.12 | 0.14 | 0.14 | 0.14 | 0.15 |
∑ | 3.63 | 3.47 | 3.78 | 3.93 | 3.83 | 3.65 | 3.64 | 3.71 | 3.84 | 3.67 | 3.72 | 3.59 | 4.05 | 4.14 | 4.15 | 3.63 |
Table 5 Temperature decrease during the growing season on the Loess Plateau |
Regions | Temperature decrease (℃ d-1) | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | |
Inner Mongolia | 3.44 | 3.26 | 3.94 | 4.27 | 4.12 | 3.37 | 3.64 | 3.80 | 4.07 | 3.71 | 3.78 | 3.45 | 4.52 | 4.74 | 4.47 | 3.65 |
Gansu | 5.22 | 5.23 | 5.21 | 5.68 | 5.40 | 5.43 | 5.23 | 5.46 | 5.70 | 5.31 | 5.51 | 5.21 | 5.94 | 6.22 | 6.25 | 5.96 |
Shanxi | 7.11 | 6.51 | 7.24 | 7.30 | 7.23 | 7.11 | 7.04 | 6.94 | 7.23 | 6.98 | 6.99 | 7.07 | 7.41 | 7.55 | 7.63 | 7.44 |
Qinghai | 6.21 | 6.40 | 6.12 | 6.47 | 6.23 | 6.37 | 6.35 | 6.33 | 6.39 | 6.24 | 6.59 | 6.19 | 6.36 | 6.35 | 6.32 | 6.11 |
Shaanxi | 6.37 | 6.15 | 6.85 | 6.90 | 6.71 | 6.54 | 6.46 | 6.62 | 6.80 | 6.55 | 6.43 | 6.37 | 7.19 | 7.13 | 7.31 | 7.10 |
Ningxia | 3.87 | 3.80 | 4.19 | 4.40 | 4.31 | 3.54 | 3.72 | 3.98 | 3.85 | 4.01 | 4.43 | 3.93 | 4.74 | 5.12 | 5.19 | 4.37 |
Henan | 8.00 | 7.55 | 7.56 | 7.90 | 8.17 | 7.51 | 7.49 | 7.41 | 7.49 | 7.21 | 6.93 | 6.08 | 7.37 | 7.06 | 7.38 | 7.80 |
∑ | 5.62 | 5.38 | 5.86 | 6.08 | 5.93 | 5.64 | 5.64 | 5.74 | 5.94 | 5.68 | 5.75 | 5.56 | 6.27 | 6.40 | 6.43 | 6.05 |
Table 6 Correlation analysis on the annual scale |
Actual ET | Absolute humidity | Relative humidity | Heat absorption | Temperature decrease | |
---|---|---|---|---|---|
RLAI | 0.753 | 0.753 | 0.511 | 0.751 | 0.751 |
RET | 1 | 1.000 | 0.887 | 1.000 | 1.000 |
RLAI·T | 0.795 | 0.795 | 0.71 | 0.795 | 0.795 |
RET·T | 1 | 1 | 0.979 | 1 | 1 |
RLAI·T and RET·T refer to the partial correlation coefficients that exclude T. |
Table 7 Correlation analysis on the monthly scale |
Actual ET | Absolute humidity | Relative humidity | Heat absorption | Temperature decrease | |
---|---|---|---|---|---|
RLAI | 0.792 | 0.792 | 0.720 | 0.793 | 0.793 |
RET | 1 | 1.000 | 0.661 | 1.000 | 1.000 |
RLAI·T | 0.78 | 0.78 | 0.763 | 0.78 | 0.78 |
RET·T | 1 | 1 | 0.992 | 1 | 1 |
RLAI·T and RET·T refer to the partial correlation coefficients that exclude T. |
Figure 9 The relationships between the changes in ET and LAI on the Loess Plateau |
Figure 10 Relationships between the changes in cooling and humidifying and LAI or ET on the Loess Plateau |
Table 8 Correlation analysis between LAI and temperature (T) |
LAI and T | Growing season | Current month | Last month | The month before last |
---|---|---|---|---|
R | ‒0.113 | 0.540 | 0.336 | 0.009 |
p | 0.677 | 0.000 | 0.007 | 0.945 |
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