Evapotranspiration changes and its attribution in semi-arid regions of Inner Mongolia
Received date: 2021-02-07
Revised date: 2021-04-21
Online published: 2021-11-29
Understanding the variation characteristics of evapotranspiration (ET) and its influencing factors are essential for regional water resources. Based on the boreal ecosystem productivity simulator model, remote sensing data, and meteorological data, the characteristics of ET change in semiarid regions of Inner Mongolia from 1981 to 2018 were simulated and its driving factors were quantified. ET of semiarid regions in Inner Mongolia showed a fluctuating upward trend with a rate at 1.75 mm·a-1 (P<0.05) from 1981 to 2018. Further, there were concurrent differences in ET with a significant mutation happened in 1997. ET increased at a rate of 1.70 mm·a-1 in 1998-2018 (P<0.05). Vapor pressure deficit (VPD) and LAI were the main driving factors of ET changes after 1997, which significantly increased at a rate of 0.002 hPa and 0.01 per year (P<0.05). The adverse effects of other factors were suppressed in positive influence of VPD and LAI, which led to a significant increase in ET. VPD was the main driving factor of ET change, which dominated regional ET change in 93.56% of the area and explained 24.83%-90.46% of ET change, where the coefficient of determination for path analysis was 0.95. VPD was the primary factor driving the five land use types of cultivated land, forestland, grassland, urban land, and bare land with average contribution rates of more than 45%.
ZHAO Xiaohan,ZHANG Fangmin,HAN Dianchen,WENG Shengheng . Evapotranspiration changes and its attribution in semi-arid regions of Inner Mongolia[J]. Arid Zone Research, 2021 , 38(6) : 1614 -1623 . DOI: 10.13866/j.azr.2021.06.13
[1] | Liang W, Bai D, Wang F, et al. Quantifying the impacts of climate change and ecological restoration on streamflow changes based on a Budyko hydrological model in China’s Loess Plateau[J]. Water Resources Research, 2015, 51(8):6500-6519. |
[2] | Huntington T. Evidence for intensification of the global water cycle: Review and synjournal[J]. Journal of Hydrology, 2006, 319(1):83-95. |
[3] | Yu L, Josey S, Bingham F, et al. Intensification of the global water cycle and evidence from ocean salinity: A synjournal review[J]. Annals of the New York Academy of Sciences, 2020, 1472(1):76-94. |
[4] | Wang K, Dickinson R. A Review of Global Terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability[J]. Reviews of Geophysics, 2012, 50(2):1-54. |
[5] | Katul G, Oren R, Manzoni S, et al. Evapotranspiration: A process driving mass transport and energy exchange in the soil-plant-atmosphere-climate system[J]. Reviews of Geophysics, 2012, 50: RG3002. |
[6] | Peng L, Li D, Sheffield J. Drivers of variability in atmospheric evaporative demand: Multiscale spectral analysis based on observations and physically based modeling[J]. Water Resources Research, 2018, 54(5):3510-3529. |
[7] | Jiang Z, Yang Z, Zhang S, et al. Revealing the spatio-temporal variability of evapotranspiration and its components based on an improved Shuttleworth-Wallace model in the Yellow River Basin[J]. Journal of Environmental Management, 2020, 262:110310. |
[8] | Zeng Z, Peng L, Piao S. Response of terrestrial evapotranspiration to Earth’s greening[J]. Current Opinion in Environmental Sustainability, 2018, 33:9-25. |
[9] | 孟莹, 姜鹏, 方缘. 大气水分亏缺对中国两种典型草地生态系统总初级生产力的影响[J]. 生态学杂志, 2020, 39(11):3633-3642. |
[9] | [ Meng Ying, Jiang Peng, Fang Yuan. Contrasting impacts of vapor pressure deficit on gross primary productivity of temperate steppe in Inner Mongolia and alpine shrub-meadow in China[J]. Chinese Journal of Ecology, 2020, 39(11):3633-3642. ] |
[10] | Novick K, Ficklin D, Stoy P, et al. The increasing importance of atmospheric demand for ecosystem water and carbon fluxes[J]. Nature Climate Change, 2016, 6(11):1023-1027. |
[11] | Ponce-campos G, Moran M, Huete A, et al. Ecosystem resilience despite large-scale altered hydroclimatic conditions[J]. Nature, 2013, 494(7437):349-352. |
[12] | 申露婷, 张方敏, 黄进, 等. 1961—2018年内蒙古生长季昼夜降水气候特征[J]. 干旱区研究, 2020, 37(6):1519-1527. |
[12] | [ Shen Luting, Zhang Fangmin, Huang Jin, et al. Climate characteristics of day and night precipitation during the growing season in Inner Mongolia from 1961 to 2018[J]. Arid Zone Research, 2020, 37(6):1519-1527. ] |
[13] | Zhao M, Geruo A, Zhang J, et al. Ecological restoration impact on total terrestrial water storage[J]. Nature Sustainability, 2020, 4:56-62. |
[14] | 马爱华, 岳大鹏, 赵景波, 等. 近60 a来内蒙古极端降水时空变化及其影响[J]. 干旱区研究, 2020, 37(1):74-85. |
[14] | [ Ma Aihua, Yue Dapeng, Zhao Jingbo, et al. Spatiotemporal variation and effect of extreme precipitation in Inner Mongolia in recent 60 years[J]. Arid Zone Research, 2020, 37(1):74-85. ] |
[15] | 张巧凤, 刘桂香, 于红博, 等. 基于MOD16A2的锡林郭勒草原近14年的蒸散发时空动态[J]. 草地学报, 2016, 24(2):286-293. |
[15] | [ Zhang Qiaofeng, Liu Guixiang, Yu Hongbo, et al. Temporal and spatial dynamic of ET based on MOD16A2 in recent fourteen years in Xilingol steppe[J]. Acta Agrestia Sinica, 2016, 24(2):286-293. ] |
[16] | Liu Y, Liu R, Chen J. Retrospective retrieval of long-term consistent global leaf area index (1981-2011) from combined AVHRR and MODIS data[J]. Journal of Geophysical Research, 2012, 117(G4): G04003. https://doi.org/10.1029/2012JG002084. |
[17] | 张方敏, 居为民, 陈镜明, 等. 基于BEPS生态模型对亚洲东部地区蒸散量的模拟[J]. 自然资源学报, 2010, 25(9):1596-1606. |
[17] | [ Zhang Fangmin, Ju Weimin, Chen Jingming, et al. Study on evapotranspiration in East Asia using the BEPS ecological model[J]. Journal of Natural Resources, 2010, 25(9):1596-1606. ] |
[18] | 陈镜明, 柳竞先, 罗翔中. 基于碳水通量耦合原理改进Penman-Monteith蒸散发模型[J]. 大气科学学报, 2020, 43(1):59-75. |
[18] | [ Chen Jingming, Liu Jingxian, Luo Xiangzhong. Improving the penman-monteith evapotranspiration model based on the coupling principle of carbon and water fluxes[J]. Transactions of Atmospheric Sciences, 2020, 43(1):59-75. ] |
[19] | 韩典辰, 张方敏, 陈吉泉, 等. 半干旱区草地站蒸散特征及其对气象因子和植被的响应[J]. 草地学报, 2021, 29(1):166-173. |
[19] | [ Han Dianchen, Zhang Fangmin, Chen Jiquan, et al. Characteristics of grassland evapotranspiration in Semi-Arid Area and its responses to meteorological factors and vegetation[J]. Acta Agrestia Sinica, 2021, 29(1):166-173. ] |
[20] | Tian D, Niu S, Pan Q, et al. Nonlinear responses of ecosystem carbon fluxes and water-use efficiency to nitrogen addition in Inner Mongolia grassland[J]. Functional Ecology, 2016, 30(3):490-499. |
[21] | Ran L, Wang S, Fan X. Channel change at Toudaoguai station and its responses to the operation of up-stream reservoirs in the upper Yellow River[J]. Journal of Geographical Sciences, 2010, 20(2):231-247. |
[22] | Rodionov S. A sequential algorithm for testing climate regime shifts[J]. Geophysical Reseaech Letters, 2004, 31(9):L09204. |
[23] | Zhao M, Running S. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009[J]. Science, 2010, 329:940-943. |
[24] | 王静, 姚顺波, 刘天军. 退耕还林背景下降水利用效率时空演变及驱动力探讨[J]. 农业工程学报, 2020, 36(1):128-137. |
[24] | [ Wang Jing, Yao Shunbo, Liu Tianjun. Spatio-temporal evolution and driving forces of rainfall use efficiency in land restoration[J]. Transactions of the Chinese Society of Agricultural Engineering, 2020, 36(1):128-137. ] |
[25] | 张雪松, 闫艺兰, 胡正华. 不同时间尺度农田蒸散影响因子的通径分析[J]. 中国农业气象, 2017, 38(4):201-210. |
[25] | [ Zhang Xuesong, Yan Yilan, Hu Zhenghua. Using path analysis to identify impacting factors of evapotranspiration at different time scales in farmland[J]. Chinese Journal of Agrometeorology, 2017, 38(4):201-210. ] |
[26] | Grinsted A, Moore J, Jevrejeva S. Application of the cross wavelet transform and wavelet coherence to geophysical time series[J]. Nonlinear Process Geophys, 2004, 11(5):561-566. |
[27] | 牛忠恩, 胡克梅, 何洪林, 等. 2000-2015年中国陆地生态系统蒸散时空变化及其影响因素[J]. 生态学报, 2019, 39(13):4697-4709. |
[27] | [ Niu Zhong’en, Hu Kemei, He Honglin, et al. The spatial-temporal patterns of evapotranspiration and its influencing factors in Chinese terrestrial ecosystem from 2000 to 2015[J]. Acta Ecologica Sinica, 2019, 39(13):4697-4709. ] |
[28] | 李霞, 刘廷玺, 段利民, 等. 半干旱区沙丘、草甸作物系数模拟及蒸散发估算[J]. 干旱区研究, 2020, 37(5):1246-1255. |
[28] | [ Li Xia, Liu Yanxi, Duan Limin, et al. Crop coefficient simulation and evapotranspiration estimation of dune and meadow in a semiarid area[J]. Arid Zone Research, 2020, 37(5):1246-1255. ] |
[29] | 王思如, 雷慧闽, 段利民, 等. 气候变化对科尔沁沙地蒸散发和植被的影响[J]. 水利学报, 2017, 48(5):535-544, 550. |
[29] | [ Wang Siru, Lei Huimin, Duan Limin, et al. Simulated impacts of climate change on evapotranspiration and vegetation in Horqin Sandy Land[J]. Journal of Hydraulic Engineering, 2017, 48(5):535-544, 550. ] |
[30] | Zhang N, Liu C. Simulated water fluxes during the growing season in semiarid grassland ecosystems under severe drought conditions[J]. Journal of Hydrology, 2014, 512:69-86. |
[31] | Jung M, Ciais P, Seneviratne S, et al. Recent decline in the global land evapotranspiration trend due to limited moisture supply[J]. Nature, 2010, 467(7318):951-954. |
[32] | 郭少宏, 闫新光. “98”内蒙特大洪水灾害成因抗洪经验及防洪工作的探讨[J]. 内蒙古水利, 1999, 20(1):8-10. |
[32] | [ Guo Shaohong, Yan Xinguang. Discussion on the reason, resistance experience and prevention work of Inner Mongolia flood disaster in 1998[J]. Inner Mongolia Water Resources, 1999, 20(1):8-10. ] |
[33] | Yuan W, Zheng Y, Piao S, et al. Increased atmospheric vapor pressure deficit reduces global vegetation growth[J]. Science Advances, 2019, 5(8): eaax1396. |
[34] | Zhou S, Williams A, Berg A, et al. Land-atmosphere feedbacks exacerbate concurrent soil drought and atmospheric aridity[J]. Proceedings of the National Academy of Sciences, 2019, 116(38):18848-18853. |
[35] | Zhang Y, Peña-arancibia J, Mcvicar T, et al. Multi-decadal trends in global terrestrial evapotranspiration and its components[J]. Scientific Reports, 2016, 6(1):19124. |
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