Page 56 - 《高原气象》2026年第2期
P. 56
高 原 气 象 45 卷
356
[J]. Oecologia, 73(4): 486-489. DOI: 10. 1007/BF00379405. Wu H H, Fu C S, Wu H W, et al, 2020a. Influence of the dry event
Ringeval B, Decharme B, Piao S L, et al, 2012. Modelling sub-grid induced hydraulic redistribution on water and carbon cycles at
wetland in the ORCHIDEE global land surface model: evaluation five AsiaFlux forest sites: a site study combining measurements
against river discharges and remotely sensed data[J]. Geoscientif‐ and modeling[J]. Journal of Hydrology, 587: 124979. DOI:
ic Model Development, 5(4): 941-962. DOI: 10. 5194/gmd-5- 10. 1016/j. jhydrol. 2020. 124979.
941-2012. Wu H H, Fu C S, Wu H W, et al, 2020b. Plant hydraulic stress strate‐
Ryel R, Caldwell M, Yoder C, et al, 2002. Hydraulic redistribution gy improves model predictions of the response of gross primary
in a stand of Artemisia tridentata: evaluation of benefits to tran‐ productivity to drought across China[J]. Journal of Geophysical
spiration assessed with a simulation model[J]. Oecologia, 130 Research: Atmospheres, 125(24): e2020JD033476. DOI: 10.
(2): 173-184. DOI: 10. 1007/s004420100794. 1029/2020JD033476.
Sellers P, Dickinson R, Randall D, et al, 1997. Modeling the ex‐ Wu J, Albert L P, Lopes A P, et al, 2016. Leaf development and de‐
changes of energy, water, and carbon between continents and the mography explain photosynthetic seasonality in Amazon ever‐
atmosphere[J]. Science, 275(5299): 502-509. DOI: 10. 1126/ green forests[J]. Science, 351(6276): 972-976. DOI: 10. 1126/
science. 275. 5299. 502. science. aad5068.
Shao H, Zhang Y D, Yu Z, et al, 2022. The resilience of vegetation Wu X C, Liu H Y, Li X Y, et al, 2018. Differentiating drought lega‐
to the 2009/2010 extreme drought in Southwest China[J]. For‐ cy effects on vegetation growth over the temperate Northern
ests, 13(6): 851. DOI: 10. 3390/f13060851. Hemisphere[J]. Global Change Biology, 24(1): 504-516. DOI:
Sheffield J, Wood E F, 2008. Projected changes in drought occurrence 10. 1111/gcb. 13920.
under future global warming from multi-model, multi-scenario, Yan B Y, Dickinson R E, 2014. Modeling hydraulic redistribution and
IPCC AR4 simulations[J]. Climate Dynamics, 31(1): 79-105. ecosystem response to droughts over the Amazon basin using
DOI: 10. 1007/s00382-007-0340-z. Community Land Model 4. 0 (CLM4)[J]. Journal of Geophysi‐
Song X, Wang D Y, Li F, et al, 2021. Evaluating the performance of cal Research: Biogeosciences, 119(11): 2130-2143. DOI: 10.
CMIP6 earth system models in simulating global vegetation struc‐ 1002/2014JG002694.
ture and distribution[J]. Advances in Climate Change Research, Yang K, He J, Tang W J, et al, 2010. On downward shortwave and
12(4): 584-595. DOI: 10. 1016/j. accre. 2021. 06. 008. longwave radiations over high altitude regions: observation and
Swenson S C, Lawrence D M, 2014. Assessing a dry surface layer- modeling in the Tibetan Plateau[J]. Agricultural and Forest Mete‐
based soil resistance parameterization for the Community Land orology, 150(1): 38-46. DOI: 10. 1016/j. agrformet. 2009.
Model using GRACE and FLUXNET-MTE data[J]. Journal of 08. 004.
Geophysical Research: Atmospheres, 119(17): 10299-10312. Yang T, Qin J S, Li X D, et al, 2024. Ecological and vegetation re‐
DOI: 10. 1002/2014JD022314. sponses in a humid region in Southern China during a historic
Trenberth K E, Dai A G, van der Schrier G, et al, 2014. Global drought [J]. Journal of Environmental Management, 371:
warming and changes in drought[J]. Nature Climate Change, 4 122986. DOI: 10. 1016/j. jenvman. 2024. 122986.
(1): 17-22. DOI: 10. 1038/nclimate2067. Yang Y T, Donohue R J, McVicar T R, 2016. Global estimation of ef‐
Vetter M, Churkina G, Jung M, et al, 2008. Analyzing the causes fective plant rooting depth: implications for hydrological model‐
and spatial pattern of the European 2003 carbon flux anomaly us‐ ing[J]. Water Resources Research, 52(10): 8260-8276. DOI:
ing seven models[J]. Biogeosciences, 5(2): 561-583. DOI: 10. 1002/2016WR019392.
10. 5194/bg-5-561-2008. Yao J Q, Zhao Y, Chen Y N, et al, 2018. Multi-scale assessments of
Vicente-Serrano S M, Quiring S M, Peña-Gallardo M, et al, 2020. A droughts: a case study in Xinjiang, China[J]. Science of the To‐
review of environmental droughts: increased risk under global tal Environment, 630: 444-452. DOI: 10. 1016/j. scitotenv.
warming?[J]. Earth-Science Reviews, 201: 102953. DOI: 10. 2018. 02. 200.
1016/j. earscirev. 2019. 102953. Yuan T F, Huang S J, Zhang P, et al, 2024. Potential decoupling of
Wang W, Wang W J, Li J S, et al, 2010. The impact of sustained CO and Hg uptake process by global vegetation in the 21st centu‐
2
drought on vegetation ecosystem in Southwest China based on re‐ ry[J]. Nature Communications, 15: 4490. DOI: 10. 1038/
mote sensing[J]. Procedia Environmental Sciences, 2: 1679- s41467-024-48849-2.
1691. DOI: 10. 1016/j. proenv. 2010. 10. 179. Zang C, Hartl-Meier C, Dittmar C, et al, 2014. Patterns of drought
Wei S H, Yi C X, Fang W, et al, 2017. A global study of GPP focus‐ tolerance in major European temperate forest trees: climatic driv‐
ing on light-use efficiency in a random forest regression model ers and levels of variability[J]. Global Change Biology, 20(12):
[J]. Ecosphere, 8(5): e01724. DOI: 10. 1002/ecs2. 1724. 3767-3779. DOI: 10. 1111/gcb. 12637.
Wei X N, He W, Zhou Y L, et al, 2022. Global assessment of lagged Zas R, Sampedro L, Solla A, et al, 2020. Dendroecology in common
and cumulative effects of drought on grassland gross primary pro‐ gardens: population differentiation and plasticity in resistance, re‐
duction[J]. Ecological Indicators, 136: 108646. DOI: 10. 1016/ covery and resilience to extreme drought events in Pinus pinaster
j. ecolind. 2022. 108646. [J]. Agricultural and Forest Meteorology, 291: 108060. DOI:

