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Effects of vegetation restoration on local microclimate on the Loess Plateau

  • Special Issue: Climate Change and Its Regional Response
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Abstract

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.

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References

  • Allen R G, Pereira L S, Raes D et al., 1998. Crop evapotranspiration: Guidelines for computing crop water requirements. Food and Agriculture Organization of the United Nations (FAO). Rome, Italy.

    Google Scholar 

  • Baldocchi D, Xu L, Kiang N, 2004. How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak—grass savanna and an annual grassland. Agricultural and Forest Meteorology, 123(1/2): 13–39.

    Article  Google Scholar 

  • Bastiaanssen W G M, Cheema M J M, Immerzeel W W et al., 2012. Surface energy balance and actual evapotranspiration of the transboundary Indus Basin estimated from satellite measurements and the ETLook model. Water Resources Research, 48(11): W11512.

    Article  Google Scholar 

  • Bonan G B, 2008. Forests and climate change: Forcings, feedbacks, and the climate benefits of forests. Science, 320(5882): 1444–1449.

    Article  Google Scholar 

  • Bréda N, Granier A, 1996. Intra- and interannual variations of transpiration, leaf area index and radial growth of a sessile oak stand (Quercus petraea). Annales des Sciences Forestières, 53(2/3): 521–536.

    Article  Google Scholar 

  • Choudhury B J, Digirolamo N E, 1998. A biophysical process-based estimate of global land surface evaporation using satellite and ancillary data I: Model description and comparison with observations. Journal of Hydrology, 205(3): 164–185.

    Article  Google Scholar 

  • Cong Z, Yang D, Ni G, 2008. Does evaporation paradox exist in China? Hydrology and Earth System Sciences, 13(4): 357–366.

    Google Scholar 

  • Cui L, Shi J, Yang Y et al., 2009. Ten-day response of vegetation NDVI to the variations of temperature and precipitation in eastern China. Acta Geographica Sinica, 64(7): 850–860. (in Chinese)

    Google Scholar 

  • De Beurs K M, Henebry G M, 2005. A statistical framework for the analysis of long image time series. International Journal of Remote Sensing, 26(8): 1551–1573.

    Article  Google Scholar 

  • Ding Y, Li Q, Dong W, 2005. A numerical simulation study of the impacts of vegetation changes on regional climate in China. Acta Meteorologica Sinica, 63(5): 613–621. (in Chinese)

    Google Scholar 

  • Eagleson P S, 1978. Climate, soil, and vegetation: 3. A simplified model of soil moisture movement in the liquid phase. Water Resources Research, 14(5): 722–730.

    Article  Google Scholar 

  • Fisher J B, Tu K P, Baldocchi D D, 2008. Global estimates of the land-atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sensing of Environment, 112(3): 901–919.

    Article  Google Scholar 

  • Forrester D I, Collopy J J, Beadle C L et al., 2012. Effect of thinning, pruning and nitrogen fertiliser application on transpiration, photosynthesis and water-use efficiency in a young Eucalyptus nitens plantation. Forest Ecology and Management, 266: 286–300.

    Article  Google Scholar 

  • Forzieri G, Alkama R, Miralles D G et al., 2018. Satellites reveal contrasting responses of regional climate to the widespread greening of Earth. Science, 356(6343): 1180–1184.

    Article  Google Scholar 

  • Fu B, Hu C, Chen L et al., 2006. Evaluating change in agricultural landscape pattern between 1980 and 2000 in the Loess hilly region of Ansai County, China. Agriculture, Ecosystems & Environment, 114(2–4): 387–396.

    Article  Google Scholar 

  • Gao Y, Long D, 2008. Progress in models for evapotranspiration estimation using remotely sensed data. National Remote Sensing Bulletin, 12(3): 515–528. (in Chinese)

    Google Scholar 

  • Gou J, Wang F, Jin K et al., 2018. Cooling effect induced by vegetation restoration on the Loess Plateau. Acta Ecologica Sinica, 38(11): 3970–3978. (in Chinese)

    Google Scholar 

  • Guo R, Li F, He W et al., 2010. Spatial and temporal variability of annual precipitation during 1958–2007 in Loess Plateau, China. In: Li D, Liu Y, Chen Y. Computer and Computing Technologies in Agriculture IV. Berlin Heidelberg Germany: Springer, 551–560.

    Google Scholar 

  • Guo Y, 2015. Study on the influence of PM2.5 from vehicle in Guanzhong Region on ambient air quality based on CALPUFF Model [D]: Xi’an: Chang’an University. (in Chinese)

    Google Scholar 

  • Guo Y, Wang N, Chu X et al., 2019. Analyzing vegetation coverage changes and its reasons on the Loess Plateau based on Google Earth Engine. China Environmental Science, 39(11): 4804–4811. (in Chinese)

    Google Scholar 

  • Hesslerová P, Jan P, Hanna H et al., 2019. Wetlands: Ecosystem Services, Restoration and Wise. Cham: Springer International Publishing, 63–93.

    Book  Google Scholar 

  • Jeong S, Ho C, Park T, 2011. Impact of vegetation feedback on the temperature and its diurnal range over the Northern Hemisphere during summer in a 2 × CO2 climate. Climate Dynamics, 37(3/4): 821–833.

    Article  Google Scholar 

  • Jia X, Shao M, Wei X et al., 2020a. Policy development for sustainable soil water use on China’s Loess Plateau. Science Bulletin, 65(24): 2053–2056.

    Article  Google Scholar 

  • Jia X, Wu H, Shao M A et al., 2020b. Re-evaluation of organic carbon pool from land surface down to bedrock on China’s Loess Plateau. Agriculture, Ecosystems & Environment, 293: 106842.

    Article  Google Scholar 

  • Jia X, Zhao C, Wang Y et al., 2020c. Traditional dry soil layer index method overestimates soil desiccation severity following conversion of cropland into forest and grassland on China’s Loess Plateau. Agriculture, Ecosystems & Environment, 291: 106794.

    Article  Google Scholar 

  • Jiang D, Yu Z, 2007. Effects of soil water on yeild and grain quality of wheat. Journal of Nuclear Agricultural Sciences, 21(6): 641–645. (in Chinese)

    Google Scholar 

  • Jin K, Wang F, Zong Q et al., 2020. Impact of variations in vegetation on surface air temperature change over the Chinese Loess Plateau. Science of the Total Environment, 716: 136967.

    Article  Google Scholar 

  • Ke Z, Kimball J S, Nemani R R et al., 2010. A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006. Water Resources Research, 46(9): W09522.

    Google Scholar 

  • Kendall M G, 1990. Rank correlation methods. British Journal of Psychology, 25(1): 86–91.

    Google Scholar 

  • Kong D, Miao C, Wu J et al., 2020. Time lag of vegetation growth on the Loess Plateau in response to climate factors: Estimation, distribution, and influence. Science of the Total Environment, 744: 140726.

    Article  Google Scholar 

  • Legates D R, Mccabe G J, 1999. Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resources Research, 35(1): 233–241.

    Article  Google Scholar 

  • Leuning R, Zhang Y Q, Rajaud A et al., 2008. A simple surface conductance model to estimate regional evaporation using MODIS leaf area index and the Penman-Monteith equation. Water Resources Research, 44(10): W10419.

    Article  Google Scholar 

  • Li J, Peng S, Zhi L, 2017. Detecting and attributing vegetation changes on China’s Loess Plateau. Agricultural and Forest Meteorology, 247: 260–270.

    Article  Google Scholar 

  • Li T, Lv Y, Ren Y et al., 2020. Gauging the effectiveness of vegetation restoration and the influence factors in the Loess Plateau. Acta Ecologica Sinica, 40(23): 8593–8605. (in Chinese)

    Google Scholar 

  • Li X, Jin Z, Zhang X et al., 2015. Analysis of ecosystem management of the Loess Plateau during the past 60 years and suggestions for the furture development. Journal of Earth Environment, 6(4): 248–254. (in Chinese)

    Google Scholar 

  • Li Y, 2001. Effects of forest on water circle on the Loess Plateau. Journal of Natural Resources, 16(5): 427–432. (in Chinese)

    Google Scholar 

  • Liang L, Lv S, Liu Y, 2006. Numerical simulation of effect of vegetation changes of Loess Plateau on environment. Plateau Meteorology, 25(4): 575–582. (in Chinese)

    Google Scholar 

  • Liang W, Zhang W, Jin Z et al., 2020. Rapid urbanization and agricultural intensification increase regional evaporative water consumption of the Loess Plateau. Journal of Geophysical Research: Atmospheres, 125(23): e2020JD033380.

    Google Scholar 

  • Limpens J, Holmgren M, Jacobs C M J et al., 2014. How does tree density affect water loss of peatlands? A mesocosm experiment. PLOS ONE, 9(3): e91748.

    Article  Google Scholar 

  • Lin Z, Xiang Y, Mo X et al., 2003. Study on the growth model of maize leaf area index in summer Chinese Journal of Eco-Agriculture, 11(4): 74–77. (in Chinese)

    Google Scholar 

  • Ma Z, Yan N, Wu B et al., 2019. Variation in actual evapotranspiration following changes in climate and vegetation cover during an ecological restoration period (2000–2015) in the Loess Plateau, China. Science of the Total Environment, 689: 534–545.

    Article  Google Scholar 

  • Mann H B, 1945. Nonparametric test against trend. Econometrica, 13(3): 245–259.

    Article  Google Scholar 

  • Mo X, 1997. A model for the relationship between canopy surface resistance and environmental factors and its application to evapotranspiration estimation. Geographical Research, 16(2): 81–88. (in Chinese)

    Google Scholar 

  • Mo X, Liu S, Lin Z et al., 2004. Simulating temporal and spatial variation of evapotranspiration over the Lushi basin. Journal of Hydrology, 285(1–4): 125–142.

    Article  Google Scholar 

  • Mu Q, Heinsch F A, Zhao M et al., 2007. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment, 111(4): 519–536.

    Article  Google Scholar 

  • Oki T, Kanae S, 2006. Global hydrological cycles and world water resources. Science, 313(5790): 1068–1072.

    Article  Google Scholar 

  • Ouyang X, Li Y, and Zhang Q, 2014. Characteristics of microclimate in a mixed coniferous and broadleaf forest in Dinghushan Biosphere Reserve. Chinese Journal of Ecology, 33(3): 575–582. (in Chinese)

    Google Scholar 

  • Piao S, Yin G, Tan J et al., 2015. Detection and attribution of vegetation greening trend in China over the last 30 years. Global Change Biology, 21(4): 1601–1609.

    Article  Google Scholar 

  • Priestley C H B, Taylor R J, 1972. On the assessment of surface heat flux and evaporation using large scale parameters. Monthly Weather Review, 100(2): 81–92.

    Article  Google Scholar 

  • Qin Z, Li Z, Cheng F et al., 2014. Influence of canopy structural characteristics on cooling and humidifying effects of Populus tomentosa community on calm sunny summer days. Landscape and Urban Planning, 127: 75–82.

    Article  Google Scholar 

  • Rammig A, Wiedermann M, Donges J F et al., 2014. Tree-ring responses to extreme climate events as benchmarks for terrestrial dynamic vegetation models. Biogeosciences Discussions, 11(2): 2537–2568.

    Google Scholar 

  • Sen P K, 1968. Estimates of the regression coefficient based on Kendall’s Tau. Journal of the American Statistical Association, 63(324): 1379–1389.

    Article  Google Scholar 

  • Shao R, Zhang B, He X et al., 2021. Historical water storage changes over China’s Loess Plateau. Water Resources Research, 57(3): e2020WR028661.

    Article  Google Scholar 

  • Shao R, Zhang B, Su T et al., 2019. Estimating the increase in regional evaporative water consumption as a result of vegetation restoration over the Loess Plateau, China. Journal of Geophysical Research: Atmospheres, 124(22): 11783–11802.

    Article  Google Scholar 

  • Shi Z, Xu L, Yang X et al., 2017. Trends in reference evapotranspiration and its attribution over the past 50 years in the Loess Plateau, China: Implications for ecological projects and agricultural production. Stochastic Environmental Research and Risk Assessment, 31(1): 257–273.

    Article  Google Scholar 

  • Sun D, Liang Y, 2021. Multi-scenario simulation of land use dynamic in the Loess Plateau using an improved Markov-CA model. Journal of Geo-information Science, 23(5): 825–836. (in Chinese)

    Google Scholar 

  • Sun H, Yang M, Yu Y et al., 2014. Relationship between stand structure and hydrological functions of typical water conservation forests in Liupan Mountains of Ningxia. Science of Soil and Water Conservation, 12(1): 10–18. (in Chinese)

    Google Scholar 

  • Sun R, Chen S, Su H, 2019. Spatiotemporal variations of NDVI of different land cover types on the Loess Plateau from 2000 to 2016. Progress in Geography, 38(8): 1248–1258. (in Chinese)

    Article  Google Scholar 

  • Wang F, Hessel R, Mu X et al., 2015. Distinguishing the impacts of human activities and climate variability on runoff and sediment load change based on paired periods with similar weather conditions: A case in the Yan River, China. Journal of Hydrology, 527: 884–893.

    Article  Google Scholar 

  • Wang K, Dickinson R E, 2012a. A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability. Reviews of Geophysics, 50(2): RG2005.

    Article  Google Scholar 

  • Wang S, Li X, Shi F et al., 2019. The Grain for Green Project intensifies evapotranspiration in the revegetation area of the Loess Plateau in China. Chinese Science Bulletin, 64(5/6): 588–599. (in Chinese)

    Article  Google Scholar 

  • Wang W, Shao Q, Peng S et al., 2012b. Reference evapotranspiration change and the causes across the Yellow River Basin during 1957–2008 and their spatial and seasonal differences. Water Resources Research, 48(5): W05530.

    Article  Google Scholar 

  • Wu B, Yan N, Xiong J et al., 2012. Validation of ETWatch using field measurements at diverse landscapes: A case study in Hai Basin of China. Journal of Hydrology, 436/437: 67–80.

    Article  Google Scholar 

  • Wu J, Chen J, Wu H et al., 2013. Comparative study of evapotranspiration in an alpine meadow in the upper reach of Shulehe River Basin. Scientia Geographica Sinica, 33(1): 97–103. (in Chinese)

    Google Scholar 

  • Xiao Y, Xie G, Zhen L et al., 2019. The cooling and humidifying effect by the forest ecosystem in the hilly and gully area of Loess Plateau of the Three North Shelter Forest System Project region. Acta Ecologica Sinica, 39(16): 5836–5846. (in Chinese)

    Google Scholar 

  • Xiao Z, Liang S, Wang J et al., 2014. Use of general regression neural networks for generating the GLASS leaf area index product from time series MODIS surface reflectance. IEEE Transactions on Geoscience and Remote Sensing, 52(1): 209–223.

    Article  Google Scholar 

  • Xiao Z, Wang T, Liang S et al., 2016. Estimating the fractional vegetation cover from GLASS leaf area index product. Remote Sensing, 8(4): 337.

    Article  Google Scholar 

  • Xiu L, Yan C, Qian D et al., 2019. Analysis of spatial-temporal change and driving forces of vegetation in Loess Plateau under background of ecological engineering. Bulletin of Soil and Water Conservation, 39(4): 214–221, 228, 2. (in Chinese)

    Google Scholar 

  • Xu X, Zhang H, Zhang O, 2004. Development of check-dam systems in gullies on the Loess Plateau, China. Environmental Science & Policy, 7(2): 79–86.

    Article  Google Scholar 

  • Yang S, 1994. The effect of cooling and humidifying of urban greening trees. Geographical Research, 13(4): 74–80. (in Chinese)

    Google Scholar 

  • Yang Z, 2016. Plants physiological processes and estimation and spatial-temporal variation of evapotranspiration over Loess Plateau [D]. Lanzhou: Lanzhou University. (in Chinese)

    Google Scholar 

  • Yin Y, Wu S, Dai E, 2010. Determining factors in potential evapotranspiration changes over China in the period 1971–2008. Science Bulletin, 55(29): 3329–3337.

    Article  Google Scholar 

  • Yu L, Liu Y, Liu T et al., 2020a. Impact of recent vegetation greening on temperature and precipitation over China. Agricultural and Forest Meteorology, 295: 108197.

    Article  Google Scholar 

  • Yu W, Ji R, Jia Q et al., 2020b. Evapotranspiration estimation of Phragmites australis wetland in the Liaohe River Delta based on the improved dual crop coefficient method. Acta Ecologica Sinica, 40(1): 325–335. (in Chinese)

    Google Scholar 

  • Zhang D, Zhang X, Wu P, 2011a. Relationship between ET and LUCC in a typical watershed of Loess Plateau over the past 20 years. Arid Land Geography, 34(3): 400–408. (in Chinese)

    Google Scholar 

  • Zhang K, Kimball J S, Nemani R R et al., 2015. Vegetation greening and climate change promote multidecadal rises of global land evapotranspiration. Scientific Reports, 5(1): 15956.

    Article  Google Scholar 

  • Zhang K, Kimball J S, Running S W, 2016. A review of remote sensing based actual evapotranspiration estimation. Wiley Interdisciplinary Reviews: Water, 3(6): 834–853.

    Article  Google Scholar 

  • Zhang S, Yang D, Yang Y et al., 2018. Excessive afforestation and soil drying on China’s Loess Plateau. Journal of Geophysical Research: Biogeosciences, 123(3): 923–935.

    Article  Google Scholar 

  • Zhang S, Yu P, Wang Y et al., 2011b. Estimation of actual evapotranspiration and its component in the upstream of Jinghe Basin. Acta Geographica Sinica, 66(3): 385–395. (in Chinese)

    Google Scholar 

  • Zhang Z, Lv Y, Pan H, 2013. Cooling and humidifying effect of plant communities in subtropical urban parks. Urban Forestry & Urban Greening, 12(3): 323–329.

    Article  Google Scholar 

  • Zhao G, Mu X, Wen Z et al., 2013. Soil erosion, conservation, and eco-environment changes in the Loess Plateau of China. Land Degradation & Development, 24(5): 499–510.

    Article  Google Scholar 

  • Zheng K, Wei J Z, Pei J Y et al., 2019. Impacts of climate change and human activities on grassland vegetation variation in the Chinese Loess Plateau. Science of the Total Environment, 660: 236–244.

    Article  Google Scholar 

  • Zhu Z, Piao S, Myneni R B et al., 2016. Greening of the Earth and its drivers. Nature Climate Change, 6(8): 791–795.

    Article  Google Scholar 

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Correspondence to Jianwu Yan.

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Author: Wang Chenxi (1997–), Master Candidate, specialized in environmental ecology.

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National Natural Science Foundation of China, No.41771118, No.42071144; The Fundamental Research Funds for the Central Universities, No.GK202003060

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Wang, C., Liang, W., Yan, J. et al. Effects of vegetation restoration on local microclimate on the Loess Plateau. J. Geogr. Sci. 32, 291–316 (2022). https://doi.org/10.1007/s11442-022-1948-y

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