Resources and Ecology in the Qinghai-Tibet Plateau

Estimation of Daily Vapor Pressure Deficit Using MODIS Potential Evapotranspiration on the Tibetan Plateau

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  • 1. Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;
    4. Tibet Agriculture and Animal Husbandry University, Linzhi, Tibet 860000, China

Received date: 2018-01-18

  Revised date: 2018-04-28

  Online published: 2018-09-30

Supported by

National Key Research and Development Program of China (2017YFA0604801; 2016YFC0502006), National Natural Science Foundation of China (41571042; 31600432), Chinese Academy of Science Western Light Talents Program (Response of livestock carrying capability to climatic change and grazing in the alpine meadow of Northern Tibetan Plateau), the Youth Innovation Research Team Project of Key Laboratory of Ecosystem Network Observation and Modeling (LENOM2016Q0002), Natural Science Foundation of Tibet Autonomous Region (Response of species richness and above-ground biomass to warming in the alpine meadow of Tibet) and Science and Technology Plan Projects of Tibet Autonomous Region (Forage Grass Industry).

Abstract

Vapor pressure deficit (VPD) is an important parameter in modelling hydrologic cycles and vegetation productivity. Meteorological stations are scarce in remote areas, which often results in imprecise estimations of VPD on the Tibetan Plateau. Moderate Resolution Imaging Spectroradiometer (MODIS) provides evapotranspiration data, which may offer the possibility of scaling up VPD estimations on the Tibetan Plateau. However, no studies thus far have estimated VPD using MODIS evapotranspiration data on the Tibetan Plateau. Therefore, this study used MODIS potential evapotranspiration (PET) to estimate VPD in alpine meadows, alpine steppes, croplands, forests and shrublands for the year, spring, summer, autumn and winter in 2000-2012. A series of root-mean- squared-error (RMSE) and mean-absolute-error (MAE) values were obtained for correlating measured VPD and estimated VPD using MODIS PET data for each listed time period and vegetation type: whole year (0.98-2.15 hPa and 0.68-1.44 hPa), spring (0.95-2.34 hPa and 0.72-1.54 hPa), summer (1.39-2.60 hPa and 0.89-1.96 hPa), autumn (0.78-1.93 hPa and 0.56-1.36 hPa), winter (0.48-1.40 hPa and 0.36-0.98 hPa), alpine steppes (0.48- 1.39 hPa and 0.36-1.00 hPa), alpine meadows (0.58-1.39 hPa and 0.44-0.90 hPa), croplands (1.10-2.55 hPa and 0.82-1.74 hPa), shrublands (0.98-1.90 hPa and 0.78-1.37 hPa), and forests (1.40-2.60 hPa and 0.98-1.96 hPa), respectively. Therefore, MODIS PET may be used to estimate VPD, and better results may be obtained if future studies incorporate vegetation types and seasons when the VPD data are estimated using MODIS PET on the Tibetan Plateau.

Cite this article

SHEN Zhenxi, SUN Wei, LI Shaowei, ZHANG Haorui, FU Gang, YU Chengqun, ZHANG Guangyu . Estimation of Daily Vapor Pressure Deficit Using MODIS Potential Evapotranspiration on the Tibetan Plateau[J]. Journal of Resources and Ecology, 2018 , 9(5) : 538 -544 . DOI: 10.5814/j.issn.1674-764x.2018.05.011

References

[1] Almeida A C, Landsberg J L.2003. Evaluating methods of estimating global radiation and vapor pressure deficit using a dense network of automatic weather stations in coastal Brazil.Agricultural and Forest Meteorology, 118(3-4): 237-250.
[2] Brutsaert W, Parlange M B.1998. Hydrologic cycle explains the evaporation paradox.Nature, 396(6706): 30-30.
[3] Castellvi F, Perez P J, Villar J M, et al.1996. Analysis of methods for estimating vapor pressure deficits and relative humidity.Agricultural and Forest Meteorology, 82(1-4): 29-45.
[4] Chen S Q, Lv S H, AO Y H, et al.2009. Characteristics of the radiation on snow cover at the margin of the Tibet Plateau.Journal of Glaciology and Geocryology, 31(5): 866-870. (in Chinese)
[5] Chen S Y, Dong A X.2006. Climatic change and stabil ity of total cloud amount over the Qinghai-Tibetan Plateau.Arid Zone Research, 23(2): 327-333. (in Chinese)
[6] Day M E.2000. Influence of temperature and leaf-to-air vapor pressure deficit on net photosynthesis and stomatal conductance in red spruce (Picea rubens). Tree Physiology, 20(1): 57-63.
[7] Ding M J, Zhang Y L, Liu L S, et al.2007. The relationship between NDVI and precipitation on the Tibetan Plateau.Journal of Geographical Sciences, 17(3): 259-268.
[8] Dou K, Huang Y F, Ding Y Y, et al.2016. Response of ground surfacce temperature on climatic change in Heze City, Shandong Province from 1961 to 2013.Chinese Journal of Agricultural Resources and Regional Planning, 37(6): 63-69. (in Chinese)
[9] Fu G, Li S W, Sun W, et al.2016. Relationships between vegetation carbon use efficiency and climatic factors on the Tibetan Plateau.Canadian Journal of Remote Sensing, 42(1): 16-26.
[10] Fu G, Shen Z X.2015. Relationships between evapotranspiration and environmental temperature and humidity in an alpine meadow at three elevations in the Northern Tibet Plateau.Chinese Journal of Grassland, 37(3): 67-73. (in Chinese)
[11] Hao L, Gu C, Zhao L.2015. Characteristic analysis on grass surface temperature, ground temperature and temperature variation in Lianyungang.Journal of Meteorological Research and Application, 36(4): 85-88. (in Chinese)
[12] Hashimoto H, Dungan J L, White M A, et al.2008. Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data.Remote Sensing of Environment, 112(1): 142-155.
[13] Hirasawa T, Hsiao T C.1999. Some characteristics of reduced leaf photosynthesis at midday in maize growing in the field.Field Crops Research, 62(1): 53-62.
[14] Hu H R, Liang L.2014. Temporal and spatial variations of snowfall in the east of Qinghai-Tibet Plateau in the last 50 years.Acta Geographica Sinica, 69(7): 1002-1012. (in Chinese)
[15] Jiang H, Wang K L.2001. Analysis of the surface temperature on the Tibetan Plateau from satellite.Advances in Atmospheric Sciences, 18(6): 1215-1223. (in Chinese)
[16] Jin H J, Sun L P, Wang S L, et al.2008. Dual influences of local environmental variables on ground temperatures on the Interior-Eastern Qinghai-Tibet Plateau (I): Vegetation and Snow Cover.Journal of Glaciology and Geocryology, 30(4): 535-545. (in Chinese)
[17] Kattelmann R, Elder K.1991. Hydrologic characteristics and water-balance of an alpine basin in the Sierra-Nevada.Water Resources Research, 27(7): 1553-1562.
[18] Kerchove R V D, Lhermitte S, Veraverbeke S, et al.2013. Spatio-temporal variability in remotely sensed land surface temperature, and its relationship with physiographic variables in the Russian Altay Mountains.International Journal of Applied Earth Observation & Geoinformation, 20(2): 4-19.
[19] Lendzion J, Leuschner C.2009. Temperate forest herbs are adapted to high air humidity - evidence from climate chamber and humidity manipulation experiments in the field.Canadian Journal of Forest Research, 39(12): 2332-2342.
[20] Ma L Y, Huang X D, Fang J, et al.2011. Temporal and spatial change of grassland vegetation index in Tibetan Plateau.Pratacultural Science, 28(6): 1106-1116. (in Chinese)
[21] Penman H L.1948. Natural evaporation from open water, bare soil and grass.Proceedings of the Royal Society of London Series a-Mathematical and Physical Sciences, 193(1032): 120-146.
[22] Prince S D, Goetz S J, Dubayah R O, et al.1998. Inference of surface and air temperature, atmospheric precipitable water and vapor pressure deficit using Advanced Very High-Resolution Radiometer satellite observations: comparison with field observations.Journal of Hydrology, 212(1-4): 230-249.
[23] Pu Z X, Xu L, Salomonson V V.2007. MODIS/Terra observed seasonal variations of snow cover over the Tibetan Plateau. Geophysical Research Letters, 34(6). doi: 10.1029/2006gl029262
[24] Reichstein M, Ciais P, Papale D, et al.2007. Reduction of ecosystem productivity and respiration during the European summer 2003 climate anomaly: a joint flux tower, remote sensing and modelling analysis.Global Change Biology, 13(3): 634-651.
[25] Rutter N, Essery R, Pomeroy J, et al.2009. Evaluation of forest snow processes models (SnowMIP2).Journal of Geophysical Research- Atmospheres, 114. doi:10.1029/2008jd011063
[26] Sahin M, Yildiz B Y, Senkal O, et al.2013. Estimation of the vapour pressure deficit using NOAA-AVHRR data.International Journal of Remote Sensing, 34(8): 2714-2729.
[27] Shen S, Leptoukh G G.2011. Estimation of surface air temperature over central and eastern Eurasia from MODIS land surface temperature.Environmental Research Letters, 6(4): 67-81.
[28] Shen Z X, Fu G, Yu C Q, et al.2014. Relationship between the growing season maximum enhanced vegetation index and climatic factors on the Tibetan Plateau.Remote Sensing, 6(8): 6765-6789.
[29] Song D M, Zhang Q, Yang X C, et al.2011. Spatial and temporal characteristics of MODIS vegetation index in the source region of three rivers on Qinghai-Tibet Plateau in China.Geographical Research, 30(11): 2067-2075. (in Chinese)
[30] Sun D, Kafatos M.2007. Note on the NDVI-LST relationship and the use of temperature-related drought indices over North America.Geophysical Research Letters, 34(24): 497-507.
[31] Sun J, Cheng G W, Li W P, et al.2013. On the variation of NDVI with the principal climatic elements in the Tibetan Plateau.Remote Sensing, 5(4): 1894-1911.
[32] Symonds M R E, Moussalli A.2011. A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion.Behavioral Ecology and Sociobiology, 65(1): 13-21.
[33] Wang S H, Sun W, Li S W, et al.2015. Interannual variation of the growing season maximum normalized difference vegetation index, MNDVI, and its relationship with climatic factors on the Tibetan Plateau.Polish Journal of Ecology, 63(3): 424-439.
[34] Wherley B G, Sinclair T R.2009. Differential sensitivity of C3 and C4 turfgrass species to increasing atmospheric vapor pressure deficit.Environmental and Experimental Botany, 67(2): 372-376.
[35] Woo M K, Marsh P.2005. Snow, frozen soils and permafrost hydrology in Canada, 1999-2002.Hydrological Processes, 19(1): 215-229.
[36] Yao T D, Xie Z C, Wu X L, et al.1991. Climate change since little ice age recorded by Dunde ice cap.Science in China (Series B), 34(6): 760-767.
[37] Yu G R, Zhang L M, Sun X M, et al.2008. Environmental controls over carbon exchange of three forest ecosystems in eastern China.Global Change Biology, 14(11): 2555-2571.
[38] Zhang H M, Wu B F, Yan N N, et al.2014. An improved satellite-based approach for estimating vapor pressure deficit from MODIS data.Journal of Geophysical Research-Atmospheres, 119(21): 12256-12271.
[39] Zhang Y S, Ishikawa M, Ohata T, et al.2008. Sublimation from thin snow cover at the edge of the Eurasian cryosphere in Mongolia.Hydrological Processes, 22(18): 3564-3575.
[40] Zhong L, Ma Y M, Salama M S, et al.2010. Assessment of vegetation dynamics and their response to variations in precipitation and temperature in the Tibetan Plateau.Climatic Change, 103(3-4): 519-535.
[41] Zhuo G, La B, Pubu C, et al.2014. Study on daily surface evapotranspiration with SEBS in Tibet Autonomous Region.Journal of Geographical Sciences, 24(1): 113-128.
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