| 1 |
Allen CD, Macalady AK, Chenchouni H, Bachelet D, McDowell N, Vennetier M, Kitzberger T, Rigling A, Breshears DD, Hogg EH, Gonzalez P, Fensham R, Zhang Z, Castro J, Demidova N, Lim JH, Allard G, Running SW, Semerci A, Cobb N. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecol Manag, 2010, 259: 660-684,
DOI
|
| 2 |
Barichivich J, Osborn TJ, Harris I, van der Schrier G, Jones PD. Drought in “State of the Climate in 2019”. B Am Meteorol Soc, 2020, 101: 1-429,
DOI
|
| 3 |
Beck PSA, Goetz SJ. Satellite observations of high northern latitude vegetation productivity changes between 1982 and 2008: ecological variability and regional differences. Environ Res Lett, 2011, 6: 045501,
DOI
|
| 4 |
Beck PSA, Juday GP, Alix C. Changes in forest productivity across Alaska consistent with biome shift. Ecol Lett, 2011, 14: 373-379,
DOI
|
| 5 |
Bennett AC, McDowell NG, Allen CD, Anderson-Teixeira KJ. Larger trees suffer most during drought in forests worldwide. Nat Plants, 2015, 1: 15139,
DOI
|
| 6 |
Berner LT, Beck PSA, Bunn AG, Goetz SJ. Plant response to climate change along the forest-tundra ecotone in northeastern Siberia. Global Change Biol, 2013, 19: 3449-3462,
DOI
|
| 7 |
Biondi F, Qeadan F. A theory-driven approach to tree-ring standardization: defining the biological trend from expected basal area increment. Tree-Ring Res, 2008, 64: 81-96,
DOI
|
| 8 |
Brehaut L, Danby RK. Inconsistent relationships between annual tree ring-widths and satellite measured NDVI in a mountainous subarctic environment. Ecol Indic, 2018, 91: 698-711,
DOI
|
| 9 |
Bunn AG, Hughes MK, Kirdyanov AV, Losleben M, Shishov VV, Berner LT, Oltchev A, Vaganov EA. Comparing forest measurements from tree rings and a space-based index of vegetation activity in Siberia. Environ Res Lett, 2013, 8: 035034,
DOI
|
| 10 |
Carrer M, Urbinati C. Age-dependent tree-ring growth responses to climate in Larix decidua and Pinus cembra. Ecology, 2004, 85: 730-740,
DOI
|
| 11 |
Chen HY, Luo Y. Net aboveground biomass declines of four major forest types with forest ageing and climate change in western Canada’s boreal forests. Global Change Biol, 2015, 21: 3675-3684,
DOI
|
| 12 |
Chen DY, Huang JF, Jackson TJ. Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands. Remote Sens Environ, 2005, 89: 225-236,
DOI
|
| 13 |
Chen HYH, Luo Y, Reich PB, Searle EB, Biswas SR. Climate change-associated trends in net biomass change are age dependent in western boreal forests of Canada. Ecol Lett, 2016, 19: 1150-1158,
DOI
|
| 14 |
Choat B, Brodribb TJ, Brodersen CR, Duursma RA, Lopez R, Medlyn BE. Triggers of tree mortality under drought. Nature, 2018, 558: 531-539,
DOI
|
| 15 |
Ciais P, Reichstein M, Viovy N. Europe-wide reduction in primary productivity caused by the heat and drought in 2003. Nature, 2005, 437: 529-533,
DOI
|
| 16 |
Cook ER, Kairiukstis LA. Methods of dendrochronology, 1990 Dordrecht, Netherlands Kluwer Academic Press,
DOI
|
| 17 |
Cook ER (1985) A time-series analysis approach to tree-ring standardization. Tucson Ph.D. Thesis, University of Arizona Press
|
| 18 |
Drusch M, Del Bello U, Carlier S. Sentinel-2: ESA's optical high-resolution mission for GMES operational services. Remote Sens Environ, 2012, 120: 25-36,
DOI
|
| 19 |
Duan CY, Li MY, Fang LD, Cao Y, Wu DD, Liu H, Ye Q, Hao GY. Greater hydraulic safety contributes to higher growth resilience to drought across seven pine species in a semi-arid environment. Tree Physiol, 2021, 42: 727-739,
DOI
|
| 20 |
Enquist BJ. Cope’s rule and the evolution of long-distance transport in vascular plants: allometric scaling, biomass partitioning and optimization. Plant Cell Environ, 2003, 26: 151-161,
DOI
|
| 21 |
ERDAS (1999) ERDAS field guide. Atlanta, Georgia
|
| 22 |
Feng JC, Jiang J. On the historical changes of horqin sandy land. J Chin Histor Geogr, 1996, 4: 105-120 in Chinese
|
| 23 |
Fritts HC. Tree-rings and climate, 1976 London Academic Press
|
| 24 |
Gao B. A normalised difference water index for remote sensing of vegetation liquid water from space. Remote Sens Environ, 1996, 58: 257-266,
DOI
|
| 25 |
Gascon F, Bouzinac C, Thépaut O, Jung M, Francesconi B, Louis J, Lonjou V, Lafrance B, Massera S, Gaudel-Vacaresse A, Languille F, Alhammoud B, Viallefont F, Pflflug B, Bieniarz J, Clerc S, Pessiot L, Trémas T, Cadau E, De Bonis R, Isola C, Martimort P, Fernandez V. Copernicus sentinel-2A calibration and products validation status. Remote Sens, 2017, 9: 584,
DOI
|
| 26 |
Gora EM, Esquivel-Muelbert A. Implications of size-dependent tree mortality for tropical forest carbon dynamics. Nat Plants, 2021, 7: 384-391,
DOI
|
| 27 |
Hogg EH, Michaelian M, Hook TI, Undershultz ME. Recent climatic drying leads to age-independent growth reductions of white spruce stands in western Canada. Global Change Biol, 2017, 23: 5297-5308,
DOI
|
| 28 |
Huston MA, Wolverton S. The global distribution of net primary production: resolving the paradox. Ecol Monogr, 2009, 79: 343-377,
DOI
|
| 29 |
SPSS Inc (1997) SPSS Advanced statistics: statistical package for the social sciences. Adv Statist 7.5. Chicago, IL: SPSS Inc
|
| 30 |
IPCC (2013) Climate Change 2013: The Physical Science Basis (eds Stocker TF et al.). Cambridge Univ Press, Cambridge
|
| 31 |
IPCC (2021) AR6 Climate Change 2021: The physical science basis. The working group I contribution to the sixth assessment report of the intergovernmental panel of climate change, Geneva, Switzerland
|
| 32 |
Ji L, Zhang L, Wylie B, Rover J. On the terminology of the spectral vegetation index (NIR − SWIR) / (NIR + SWIR). Int J Remote Sens, 2011, 32: 6901-6909,
DOI
|
| 33 |
Kannenberg SA, Maxwell JT, Pederson N, D’Orangeville L, Ficklin DL, Phillips RP. Drought legacies are dependent on water table depth, wood anatomy and drought timing across the eastern US. Ecol Lett, 2019, 22: 119-127,
DOI
|
| 34 |
Karnieli A, Agam N, Pinker RT, Anderson M, Imhoff ML, Gutman GG, Panov N, Goldberg A. Use of NDVI and land surface temperature for drought assessment: merits and limitations. J Clim, 2010, 23: 618-633,
DOI
|
| 35 |
Kogan FN. Remote sensing of weather impacts on vegetation in non-homogeneous areas. Int J Remote Sens, 1990, 11: 1405-1419,
DOI
|
| 36 |
Korhonen L, Packalen P, Rautiainen M. Comparison of Sentinel-2 and Landsat 8 in the estimation of boreal forest canopy cover and leaf area index. Remote Sens Environ, 2017, 19: 259-274,
DOI
|
| 37 |
Lamsal S, Rizzo DM, Meentemeyer RK. Spatial variation and prediction of forest biomass in a heterogeneous landscape. J Forestry Res, 2012, 23: 13-22,
DOI
|
| 38 |
Leavitt SW, Chase TN, Rajagopalan B, Lee E, Lawrence PJ (2008) Southwestern U.S. tree-ring carbon isotope indices as a possible proxy for reconstruction of greenness of vegetation. Geophys Res Lett 35:L12704
|
| 39 |
Lindenmayer DB, Laurance WF, Franklin JF. Global decline in large old trees. Science, 2012, 338: 1305-1306,
DOI
|
| 40 |
Liu YY, Wang AY, An YN, Lian PY, Wu DD, Zhu JJ, Meinzer FC, Hao GY. Hydraulics play an important role in causing low growth rate and dieback of aging Pinus sylvestris var. mongolica trees in plantations of Northeast China. Plant Cell Environ, 2018, 41: 1500-1511,
DOI
|
| 41 |
Liu F, Liu HY, Xu CY, Shi L, Zhu XR, Qi Y, He WQ. Old-growth forests show low canopy resilience to droughts at the southern edge of the taiga. Global Change Biol, 2021, 27: 2392-2402,
DOI
|
| 42 |
Luo Y, Chen HYH. Observations from old forests underestimate climate change effects on tree mortality. Nat Commun, 2013, 4: 1655,
DOI
|
| 43 |
McDowell NG, Allen CD. Darcy’s law predicts widespread forest mortality under climate warming. Nat Clim Change, 2015, 5: 669-672,
DOI
|
| 44 |
McMahon SM, Parker GG, Miller DR. Evidence for a recent increase in forest growth. Proc Natl Acad Sci USA, 2010, 107: 3611-3615,
DOI
|
| 45 |
Midgley JJ. Is bigger better in plants? The hydraulic costs of increasing size in trees. Trends Ecol Evol, 2003, 18: 5-6,
DOI
|
| 47 |
Petit G, Anfodillo T, Carraro V, Grani F. Hydraulic constraints limit height growth in trees at high altitude. New Phytol, 2011, 189: 241-252,
DOI
|
| 48 |
Poorter H, Niklas KJ, Reich PB, Oleksyn J, Poot P, Mommer L. Biomass allocation to leaves, stems and roots: meta-analyses of interspecific variation and environmental control: Tansley review. New Phytol, 2012, 193: 30-50,
DOI
|
| 49 |
Rozas V, DeSoto L, Olano JM. Sex-specific, age-dependent sensitivity of tree-ring growth to climate in the dioecious tree Juniperus thurifera. New Phytol, 2009, 182: 687-697,
DOI
|
| 50 |
Ryan MG. Tree mortality: large trees losing out to drought. Nat Plants, 2015, 1: 15150,
DOI
|
| 51 |
Ryan MG, Yoder BJ. Hydraulic limits to tree height and tree growth. Bioscience, 1997, 47: 235-242,
DOI
|
| 52 |
Ryan MG, Phillips N, Bond BJ. The hydraulic limitation hypothesis revisited. Plant Cell Environ, 2006, 29: 367-381,
DOI
|
| 53 |
Schweingruber FH. Tree ring—basic and applications of dendrochronology, 1988 Berne Paul Haupt Press
|
| 54 |
Sippel S, Reichstein M, Ma XL, Mahecha MD, Lange H, Flach M, Frank D. Drought, heat, and the carbon cycle. Curr Clim Change Rep, 2018, 4: 266-286,
DOI
|
| 55 |
Song LN, Zhu JJ, Yan QL, Li MC, Yu GQ. Comparison of intrinsic water use efficiency between different aged Pinus sylvestris var. mongolica wide windbreaks in semiarid sandy land of northern China. Agroforest Syst, 2015, 89: 477-489,
DOI
|
| 56 |
Song LN, Zhu JJ, Li MC, Zhang JX. Water use patterns of Pinus sylvestris var. mongolica trees of different ages in a semiarid sandy lands of Northeast China. Environ Exp Bot, 2016, 129: 94-107,
DOI
|
| 57 |
Sperry JS, Tyree MT. Mechanism of water stress-induced xylem embolism. Plant Physiol, 1988, 88: 581-587,
DOI
|
| 58 |
Subedi MR, Xi WM, Edgar CB, Rideout-Hanzak S, Yan M. Tree mortality and biomass loss in drought-affected forests of East Texas, USA. J Forestry Res, 2021, 32: 67-80,
DOI
|
| 59 |
Tao Y. Historico-ecological development of Keerqin sandy land and lessons from it. Chin J Ecol, 1987, 6: 39-42 in Chinese
|
| 60 |
Travis DJ, Meentemeyer V, Belanger RP. Stressed trees produce a better climatic signal than healthy trees. Tree-Ring Bulletin, 1990, 50: 29-32
|
| 61 |
Tucker CJ. Red and photographic infrared combinations for monitoring vegetation. Remote Sens Environ, 1979, 8: 127-150,
DOI
|
| 62 |
Tyree MT. Hydraulic limits on tree performance: transpiration, carbon gain and growth of trees. Trees-Struct Funct, 2003, 17: 95-100,
DOI
|
| 63 |
Tyree MT, Ewers FW. The hydraulic architecture of trees and other woody plants. New Phytol, 1991, 119: 345-360,
DOI
|
| 64 |
Ukkola AM, De Kauwe MG, Roderick ML, Burrell A, Lehmann P, Pitman AJ. Annual precipitation explains variability in dryland vegetation greenness globally but not locally. Global Change Biol, 2021, 27: 4367-4380,
DOI
|
| 65 |
van der Schrier G, Barichivich J, Briffa KR, Jones PD. A scPDSI-based global data set of dry and wet spells for 1901–2009. J Geophys Res Atmos, 2013, 118: 4025-4048,
DOI
|
| 66 |
Vicente-Serrano SM, Gouveia C, Camarero JJ, Beguería S, Trigo R, López-Moreno JI, Azorín-Molina C, Pasho E, Lorenzo-Lacruz J, Revuelto J. Response of vegetation to drought time-scales across global land biomes. Proc Natl Acad Sci, 2013, 110: 52-57,
DOI
|
| 67 |
Vicente-Serrano SM, Camarero JJ, Olano JM, Martín-Hernández N, Peña-Gallardo M, Tomás-Burguera M, Gazol A, Azorin-Molina C, Bhuyan U, Kenawy AE. Diverse relationships between forest growth and the normalized difference vegetation index at a global scale. Remote Sens Environ, 2016, 187: 14-29,
DOI
|
| 68 |
Wang B, Yu PT, Yu YP, Zhang L, Wang YH, Wan YF, Yang WJ, Wang SL, Liu XD. Response of radial growth of Qinghai spruce at different ages to climate change in Qilian Mountains, Northwestern China. Scientia Silvae Sinicae, 2021, 57: 1-8
|
| 69 |
Wells N, Goddard S, Hayes MJ. A self-calibrating palmer drought severity index. J Clim, 2004, 17: 2335-2351,
DOI
|
| 70 |
West H, Quinn N, Horswell M. Remote sensing for drought monitoring and impact assessment: progress, past challenges, and future opportunities. Remote Sens Environ, 2019, 232: 111291,
DOI
|
| 71 |
Whitehead D, Jarvis PG (1981) Water Deficits and Plant Growth (ed. Kozlowski TT). Academic Press, London
|
| 72 |
Wigley T, Briffa KR, Jones PD. On the average value of correlated time series, with applications in dendroclimatology and hydrometeorology. J Clim Appl Meteorol, 1984, 23: 201-213,
DOI
|
| 73 |
Wong CYS, Young DJN, Latimer AM, Buckley TN, Magney TS. Importance of the legacy effect for assessing spatiotemporal correspondence between interannual tree-ring width and remote sensing products in the Sierra Nevada. Remote Sens Environ, 2021, 265: 112635,
DOI
|
| 74 |
Zheng X, Zhu JJ, Yan QL, Song LN. Effects of land use changes on the groundwater table and the decline of Pinus sylvestris var. mongolica plantations in southern Horqin Sandy Land. Northeast China Agr Water Manage, 2012, 109: 94-106,
DOI
|
| 75 |
Zhu JJ, Kang HZ, Tan H, Xu ML, Wang J. Natural regeneration characteristics of Pinus sylvestris var. Mongolica forests on sandy land in Honghuaerji. China J Forestry Res, 2005, 16: 253-259,
DOI
|
| 76 |
Zhu JJ, Kang HZ, Tan H, Xu ML. Effects of drought stresses induced by polyethylene glycol on germination of Pinus sylvestris var. mongolica seeds from natural and plantation forests on sandy land. J Forestry Res, 2006, 11: 319-328,
DOI
|
| 77 |
Zhu JJ, Zheng X, Yan QL. Assessment of impacts of the three-north protective forest program on ecological environments by remote sensing technology–Launched after 30 years (1978–2008), 2016 Beijing (in Chinese) Science Press
|
| 78 |
Zhu JJ, Zeng DH, Kang HZ, Wu XY, Fan ZP (2005b) Decline of Pinus sylvestris var. mongolica lantations on Sandy Land. China Forestry Publishing House, Beijing (in Chinese).
|