2003—2017年植被变化对全球陆面蒸散发的影响

doi:10.11821/dlxb202103007

Abstract

Abstract:

Evapotranspiration is a key variable and key process in global water cycle, and it is crucial for understanding how anthropogenic and climate changes have impacts on terrestrial water cycle. In the last decade, global vegetation changes are dramatic, reflected by land use and land cover changes and increase in leaf area index. It remains unclear how these changes influence terrestrial evapotranspiration processes. This study uses a coupled evapotranspiration and gross primary product model (PML-V2) that is run at 500 m and 8-day resolutions across the globe to investigate the impacts of vegetation changes on spatial pattern and dynamics of evapotranspiration in the period of 2003-2017. We found that evapotranspiration across the globe has increased noticeably because of vegetation changes, which is characterized by clear regional and non-regional patterns. Transpiration has strongly increased in the central and northern parts of North America, Europe, eastern China, southern Africa, and eastern and northern Australia. Under different land cover types, shrubs and cropland have been influenced strongly, and their impact is stronger in the post-2012 period than that in the pre-2012 period. The recent total increase from these two land cover types amounts to about 0.41 ×10³ km³ a^-1, which is about 8 times of natural annual runoff from the Yellow River Basin. The results from this study can help improve the understanding of how vegetation changes caused by recent land use and land cover changes influence terrestrial water cycle and the potential local and regional climate change.

Key words: global, terrestrial water cycle, evapotranspiration, vegetation change, land use change

ZHANG Yongqiang, KONG Dongdong, ZHANG Xuanze, TIAN Jing, LI Congcong. Impacts of vegetation changes on global evapotranspiration in the period 2003-2017[J].Acta Geographica Sinica, 2021, 76(3): 584-594.

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References 40

[1]	Zhang Y Q, Leuning R, Hutley L B, et al. Using long-term water balances to parameterize surface conductances and calculate evaporation at 0.05 degrees spatial resolution. Water Resources Research, 2010,46(5). DOI: 10.1029/2009wr008716.
[2]	Zhang Y Q, Chiew F H S, Zhang L, et al. Validation of modis-based annual actual evapotranspiration against water balance estimates in murray-darling basin. 2007, 2639-2644. http://hdl.handle.net/102.100.100/125980.. 2021-01-27.
[3]	Li J, Chen Y D, Zhang L, et al. Future changes in floods and water availability across China: Linkage with changing climate and uncertainties. Journal of Hydrometeorology, 2016,17(4):1295-1314.
[4]	Wuebbles D, Meehl G, Hayhoe K, et al. CMIP5 climate model analyses: Climate extremes in the United States. Bulletin of the American Meteorological Society, 2014,95(4):571-583.
[5]	Wang L, Chen W. A CMIP5 multimodel projection of future temperature, precipitation, and climatological drought in China. International Journal of Climatology, 2014,34(6):2059-2078.
[6]	Li J, Chen Y D, Gan T Y, et al. Elevated increases in human-perceived temperature under climate warming. Nature Climate Change, 2018,8(1):43-47.
[7]	Chen Y D, Li J, Zhang Q, et al. Projected changes in seasonal temperature extremes across China from 2017 to 2100 based on statistical downscaling. Global and Planetary Change, 2018,166:30-40.
[8]	Penman H L. Natural evaporation from open water, bare soil and grass. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1948,193(1032):120-145.
[9]	Monteith J L. Evaporation and environment. Symposia of the Society for Experimental Biology, 1965,19:205-234. pmid: 5321565
[10]	Zhang Y Q, Kong D D, Gan R, et al. Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017. Remote Sensing of Environment, 2019,222:165-182.
[11]	Zhang Y Q, Pena-Arancibia J L, McVicar T R, et al. Multi-decadal trends in global terrestrial evapotranspiration and its components. Scientific Reports, 2016,6(1). DOI: 10.1038/srep19124. doi: 10.1038/s41598-016-0002-7 pmid: 28442706
[12]	Leuning R, Zhang Y Q, Rajaud A, et al. A simple surface conductance model to estimate regional evaporation using MODIS leaf area index and the penman-monteith equation. Water Resources Research, 2008,44(10). DOI: 10.1029/2007wr006562.
[13]	Qi Tianyao, Zhang Qiang, Wang Yue, et al. Spatiotemporal patterns of pan evaporation in 1960-2005 in China: Changing properties and possible causes: Changing properties and possible causes. Scientia Geographica Sinica, 2015,35(12):1599-1606.
	[ 祁添垚, 张强, 王月, 等. 1960—2005年中国蒸发皿蒸发量变化趋势及其影响因素分析. 地理科学, 2015,35(12):1599-1606.]
[14]	Han Songjun, Wang Shaoli, Yang Dawen. Agricultural influences on evaporation paradox in China. Transactions of the CSAE, 2010,26(10):1-8.
	[ 韩松俊, 王少丽, 杨大文. 农业活动对中国区域“蒸发悖论”规律的影响. 农业工程学报, 2010,26(10):1-8.]
[15]	Xie Ping, Long Huaiyu, Zhang Yangzhu, et al. Evaporation paradox in Yunnan Province. Journal of Irrigation and Drainage, 2016,35(9):81-87.
	[ 谢平, 龙怀玉, 张杨珠, 等. “蒸发悖论”在云南省的探讨. 灌溉排水学报, 2016,35(9):81-87.]
[16]	Cong Zhentao, Ni Guangheng, Yang Dawen, et al. Evaporation paradox in China. Advances in Water Science, 2008,19(2):147-152.
	[ 丛振涛, 倪广恒, 杨大文, 等. “蒸发悖论”在中国的规律分析. 水科学进展, 2008,19(2):147-152.]
[17]	Lian X, Piao S L, Huntingford C, et al. Partitioning global land evapotranspiration using CMIP5 models constrained by observations. Nature Climate Change, 2018,8(7):640-646.
[18]	Sutanto S, Wenninger J, Coenders-Gerrits A, et al. Partitioning of evaporation into transpiration, soil evaporation and interception: A comparison between isotope measurements and a HYDRUS-1D model. Hydrology and Earth System Sciences, 2012,16(8):2605-2616. doi: 10.5194/hess-16-2605-2012
[19]	Wang L X, Good S P, Caylor K K. Global synthesis of vegetation control on evapotranspiration partitioning. Geophysical Research Letters, 2014,41(19):6753-6757.
[20]	Wang K, Dickinson R. A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability. Reviews of Geophysics, 2012,50(2). DOI: 10.1029/2011RG000373.
[21]	Running S, Mu Q, Zhao M. MOD16A2 modis/terra net evapotranspiration 8-day L4 global 500 m sin grid v006. NASA EOSDIS Land Processes DAAC, 2017. DOI: 10.5067/MODIS/MOD16A2.006.
[22]	Martens B, Gonzalez M D, Lievens H, et al. Gleam v3: Satellite-based land evaporation and root-zone soil moisture. Geoscientific Model Development, 2017,10(5):1903-1925.
[23]	Jung M, Reichstein M, Bondeau A J B . Towards global empirical upscaling of fluxnet eddy covariance observations: Validation of a model tree ensemble approach using a biosphere model. Biogeosciences, 2009,6(10):2001-2013.
[24]	Jung M, Reichstein M, Ciais P, et al. Recent decline in the global land evapotranspiration trend due to limited moisture supply. Nature, 2010,467(7318):951-954. doi: 10.1038/nature09396 pmid: 20935626
[25]	Dong B, Dai A G. The uncertainties and causes of the recent changes in global evapotranspiration from 1982 to 2010. Climate Dynamics, 2017,49(1):279-296.
[26]	Mueller B, Seneviratne S I, Jimenez C, et al. Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations. Geophysical Research Letters, 2011,38(6). DOI: 10.1029/2010GL046230.
[27]	Schlosser C A, Gao X. Assessing evapotranspiration estimates from the second Global Soil Wetness Project (GSWP-2) simulations. Journal of Hydrometeorology, 2010,11(4):880-897.
[28]	Gan R, Zhang Y Q, Shi H, et al. Use of satellite leaf area index estimating evapotranspiration and gross assimilation for australian ecosystems. Ecohydrology, 2018,11(5):e1974. DOI: 10.1002/eco.1974.
[29]	Song X P, Hansen M C, Stehman S V, et al. Global land change from 1982 to 2016. Nature, 2018,560(7720):639-643. doi: 10.1038/s41586-018-0411-9 pmid: 30089903
[30]	Sterling S M, Ducharne A, Polcher J. The impact of global land-cover change on the terrestrial water cycle. Nature Climate Change, 2012,3(4):385-390.
[31]	Li G, Zhang F M, Jing Y S, et al. Response of evapotranspiration to changes in land use and land cover and climate in China during 2001-2013. Science of the Total Environment, 2017,596:256-265.
[32]	Li C C, Zhang Y Q, Shen Y J, et al. LUCC-driven changes in gross primary production and actual evapotranspiration in northern China. Journal of Geophysical Research: Atmospheres, 2020, 125(6): e2019JD031705. DOI: 10.1029/2019JD031705.
[33]	Zhao M S, Heinsch F A, Nemani R R, et al. Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sensing of Environment, 2004,95(2):164-176.
[34]	Ershadi A, McCabe M F, Evans J P , et al. Effects of spatial aggregation on the multi-scale estimation of evapotranspiration. Remote Sensing of Environment, 2013,131:51-62.
[35]	Sulla-Menashe D, Gray J M, Abercrombie S P, et al. Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 land cover product. Remote Sensing of Environment, 2019,222:183-194.
[36]	C EPH. A perfect smoother. Analytical chemistry, 2003,75(14):3631-3636.
[37]	Kong D D, Zhang Y Q, Gu X H, et al. A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 2019,155:13-24.
[38]	Leuning R. A critical appraisal of a combined stomatal-photosynthesis model for C3 plants. Plant, Cell & Environment, 1995,18(4):339-355.
[39]	Yu Q, Zhang Y Q, Liu Y F, et al. Simulation of the stomatal conductance of winter wheat in response to light, temperature and CO₂ changes. Annals of Botany, 2004,93(4):435-441. pmid: 14980969
[40]	Jia Shaofeng, Liang Yuan. Suggestions for strategic allocation of the Yellow River water resources under the new situation. Resources Science, 2020,42(1):29-36.
	[ 贾绍凤, 梁媛. 新形势下黄河流域水资源配置战略调整研究. 资源科学, 2020,42(1):29-36.]

Impacts of vegetation changes on global evapotranspiration in the period 2003-2017

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