Abrupt shifts in phenology and vegetation productivity under climate extremes

Journal of Geophysical Research: Biogeosciences

Volumn 120, Issue 10, 2015, Pages 2036-2052

  Ma, Xuanlong ^a   Huete, Alfredo ^a   Moran, Susan ^b   Ponce Campos, Guillermo ^b   Eamus, Derek ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b SOUTHWEST WATERSHED RESEARCH CENTER   (United States)

Author keywords

carbon cycling; climate extremes; ecological resilience; remote sensing; semiarid

Indexed keywords

BIOLOGICAL PRODUCTION; CARBON CYCLE; CLIMATE EFFECT; DROUGHT; ECOSYSTEM RESILIENCE; EVAPOTRANSPIRATION; EXTREME EVENT; FLOODING; GLOBAL WARMING; HYDROLOGICAL CHANGE; HYDROLOGICAL CYCLE; MODIS; PHENOLOGY; REMOTE SENSING; SEMIARID REGION; VEGETATION DYNAMICS; VEGETATION INDEX;

AUSTRALIA;

EID: 84955194722     PISSN: 21698953     EISSN: 21698961     Source Type: Journal    
DOI: 10.1002/2015JG003144     Document Type: Article

References (65)

1. 2 sink, Science, 348 (6237), 895-899, doi: 10.1126/science.aaa1668.
2. Asner, G. P., D. Nepstad, G. Cardinot, and, D. Ray, (2004), Drought stress and carbon uptake in an Amazon forest measured with spaceborne imaging spectroscopy, Proc. Natl. Acad. Sci. U.S.A., 101 (16), 6039-6044, doi: 10.1073/pnas.0400168101.
3. Beer, C., et al., (2010), Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate, Science, 329 (5993), 834-838, doi: 10.1126/science.1184984.
4. Beringer, J., (2014), OzFlux synthesis. [Available at http://www.ozflux.org.au/meetings/september2014/tuesday/26-Beringer.pdf.]
5. Breshears, D. D., et al., (2005), Regional vegetation die-off in response to global-change-type drought, Proc. Natl. Acad. Sci. U.S.A., 102 (42), 15,144-15,148, doi: 10.1073/pnas.0505734102.
6. Broich, M., et al., (2014), Land surface phenological response to decadal climate variability across Australia using satellite remote sensing, Biogeosciences, 11 (18), 5181-5198, doi: 10.5194/bg-11-5181-2014.
7. Cai, W., and, T. Cowan, (2013), Southeast Australia autumn rainfall reduction: A climate-change-induced poleward shift of ocean-atmosphere circulation, J. Clim., 26 (1), 189-205, doi: 10.1175/JCLI-D-12-00035.1.
8. Cai, W., T. Cowan, and, M. Thatcher, (2012), Rainfall reductions over Southern Hemisphere semi-arid regions: The role of subtropical dry zone expansion, Sci. Rep., 2, doi: 10.1038/srep00702.
9. Ciais, P., et al., (2005), Europe-wide reduction in primary productivity caused by the heat and drought in 2003, Nature, 437 (7058), 529-33, doi: 10.1038/nature03972.
10. Dannenberg, M. P., C. Song, T. Hwang, and, E. K. Wise, (2015), Empirical evidence of El Niño-Southern Oscillation influence on land surface phenology and productivity in the western United States, Remote Sens. Environ., 159, 167-180, doi: 10.1016/j.rse.2014.11.026.
11. Donohue, R. J., T. R. McVicar, and, M. L. Roderick, (2009), Climate-related trends in Australian vegetation cover as inferred from satellite observations, 1981-2006, Global Change Biol., 15 (4), 1025-1039, doi: 10.1111/j.1365-2486.2008.01746.x.
12. Eamus, D., N. Boulain, J. Cleverly, and, D. D. Breshears, (2013), Global change-type drought-induced tree mortality: Vapor pressure deficit is more important than temperature per se in causing decline in tree health, Ecol. Evol., 3 (8), 2711-2729, doi: 10.1002/ece3.664.
13. Fensham, R. J., and, J. E. Holman, (1999), Temporal and spatial patterns in drought-related tree dieback in Australian savanna, J. Appl. Ecol., 36 (6), 1035-1050, doi: 10.1046/j.1365-2664.1999.00460.x.
14. Fensham, R. J., R. J. Fairfax, and, D. P. Ward, (2009), Drought-induced tree death in savanna, Global Change Biol., 15 (2), 380-387, doi: 10.1111/j.1365-2486.2008.01718.x.
15. Grime, J. P., V. K. Brown, K. Thompson, G. J. Masters, S. H. Hillier, I. P. Clarke, A. P. Askew, D. Corker, and, J. P. Kielty, (2000), The response of two contrasting limestone grasslands to simulated climate change, Science, 289 (5480), 762-765, doi: 10.1126/science.289.5480.762.
16. Held, I. M., and, B. J. Soden, (2006), Robust responses of the hydrological cycle to global warming, J. Clim., 19 (21), 5686-5699, doi: 10.1175/JCLI3990.1.
17. Hochman, Z., D. Holzworth, and, J. R. Hunt, (2009), Potential to improve on-farm wheat yield and WUE in Australia, Crop Pasture Sci., 60 (8), 708-716, doi: 10.1071/CP09064.
18. Holm, A. M., S. W. Cridland, and, M. L. Roderick, (2003), The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of Western Australia, Remote Sens. Environ., 85 (2), 145-158, doi: 10.1016/S0034-4257(02)00199-2.
19. Huete, A., K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and, L. G. Ferreira, (2002), Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sens. Environ., 83 (1-2), 195-213, doi: 10.1016/S0034-4257(02)00096-2.
20. Huete, A. R., and, E. P. Glenn, (2011), Remote sensing of ecosystem structure and function, in Adv. Environ. Remote Sensing: Sensor Algorithms, pp. 291-320, Taylor and Francis Group, Boca Raton, Fla.
21. Huxman, T. E., et al., (2004), Convergence across biomes to a common rain-use efficiency, Nature, 429 (6992), 651-654, doi: 10.1038/nature02561.
22. Ivits, E., S. Horion, R. Fensholt, and, M. Cherlet, (2014), Drought footprint on European ecosystems between 1999 and 2010 assessed by remotely sensed vegetation phenology and productivity, Global Change Biol., 20 (2), 581-593, doi: 10.1111/gcb.12393.
23. Jentsch, A., J. Kreyling, J. Boettcher-Treschkow, and, C. Beierkuhnlein, (2009), Beyond gradual warming: Extreme weather events alter flower phenology of European grassland and heath species, Global Change Biol., 15 (4), 837-849, doi: 10.1111/j.1365-2486.2008.01690.x.
24. 2 growth rate anomalies in 2002-2003, Geophys. Res. Lett., 32, 708-716, doi: 10.1029/2005GL023027.
25. Jones, D. A., W. Wang, and, R. Fawcett, (2009), High-quality spatial climate data-sets for Australia, Aust. Meteorol. Oceanogr. J., 58 (4), 233-248.
26. Keenan, T. F., et al., (2014), Net carbon uptake has increased through warming-induced changes in temperate forest phenology, Nat. Clim. Change, 4 (7), 598-604, doi: 10.1038/nclimate2253.
27. Knapp, A. K., and, M. D. Smith, (2001), Variation among biomes in temporal dynamics of aboveground primary production, Science, 291 (5503), 481-484, doi: 10.1126/science.291.5503.481.
28. Knapp, A. K., C. J. W. Carroll, E. M. Denton, K. J. La Pierre, S. L. Collins, and, M. D. Smith, (2015), Differential sensitivity to regional-scale drought in six central US grasslands, Oecologia, 177 (4), 949-957, doi: 10.1007/s00442-015-3233-6.
29. Leuning, R., H. A. Cleugh, S. J. Zegelin, and, D. Hughes, (2005), Carbon and water fluxes over a temperate Eucalyptus forest and a tropical wet/dry savanna in Australia: Measurements and comparison with MODIS remote sensing estimates, Agric. Forest Meteorol., 129 (3-4), 151-173, doi: 10.1016/j.agrformet.2004.12.004.
30. Liu, G., H. Liu, and, Y. Yin, (2013), Global patterns of NDVI-indicated vegetation extremes and their sensitivity to climate extremes, Environ. Res. Lett., 8 (2 025009), doi: 10.1088/1748-9326/8/2/025009.
31. Liu, Y., Y. Zhou, W. Ju, S. Wang, X. Wu, M. He, and, G. Zhu, (2014), Impacts of droughts on carbon sequestration by China's terrestrial ecosystems from 2000 to 2011, Biogeosciences, 11 (10), 2583-2599, doi: 10.5194/bg-11-2583-2014.
32. Lymburner, L., P. Tan, N. Mueller, R. Thackway, A. Lewis, M. Thankappan, L. Randall, A. Islam, and, U. Senarath, (2011), Land Cover Map of Australia, 1st ed., Scale 1:5 000 000, GeoScience Australia, Canberra.
33. Ma, X., et al., (2013), Spatial patterns and temporal dynamics in savanna vegetation phenology across the North Australian Tropical Transect, Remote Sens. Environ., 139, 97-115, doi: 10.1016/j.rse.2013.07.030.
34. Meyer, W. S., E. Kondrlovà, and, G. R. Koerber, (2015), Evaporation of perennial semi-arid woodland in southeastern Australia is adapted for irregular but common dry periods, Hydrol. Processes, 29 (17), 3714-3726, doi: 10.1002/hyp.10467.
35. Moran, M. S., et al., (2014), Functional response of U.S. grasslands to the early 21st-century drought, Ecology, 95 (8), 2121-2133, doi: 10.1890/13-1687.1.
36. Murphy, B. F., and, B. Timbal, (2008), A review of recent climate variability and climate change in southeastern Australia, Int. J. Climatol., 28 (7), 859-879, doi: 10.1002/joc.1627.
37. Myneni, R. B., and, D. L. Williams, (1994), On the relationship between FAPAR and NDVI, Remote Sens. Environ., 49 (3), 200-211, doi: 10.1016/0034-4257(94)90016-7.
38. National Vegetation Information System (NVIS) (2012), Australia's native vegetation-A summary of Australia's major vegetation groups.
39. Nicholas, A. M. M., D. C. Franklin, and, D. M. J. S. Bowman, (2011), Floristic uniformity across abrupt boundaries between Triodia hummock grassland and Acacia shrubland on an Australian desert sandplain, J. Arid Environ., 75 (11), 1090-1096, doi: 10.1016/j.jaridenv.2011.06.016.
40. Peñuelas, J., I. Filella, X. Zhang, L. Llorens, R. Ogaya, F. Lloret, P. Comas, M. Estiarte, and, J. Terradas, (2004), Complex spatiotemporal phenological shifts as a response to rainfall changes, New Phytol., 161 (3), 837-846, doi: 10.1111/j.1469-8137.2004.01003.x.
41. 2 on global river runoff trends, Proc. Natl. Acad. Sci. U.S.A., 104 (39), 15,242-15,247, doi: 10.1073/pnas.0707213104.
42. Ponce-Campos, G., M. Moran, A. Huete, Y. Zhang, C. Bresloff, T. Huxman, and, P. Starks, (2013), Ecosystem resilience despite large-scale altered hydroclimatic conditions, Nature, 494 (7437), 349-52, doi: 10.1038/nature11836.
43. Poulter, B., et al., (2013), Recent trends in Inner Asian forest dynamics to temperature and precipitation indicate high sensitivity to climate change, Agric. Forest Meteorol., 178-179, 31-45, doi: 10.1016/j.agrformet.2012.12.006.
44. Poulter, B., et al., (2014), Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle, Nature, 509 (7502), 600-603, doi: 10.1038/nature13376.
45. R Core Team (2014), R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria.
46. Reichstein, M., 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 Biol., 13 (3), 634-651, doi: 10.1111/j.1365-2486.2006.01224.x.
47. Reichstein, M., et al., (2013), Climate extremes and the carbon cycle, Nature, 500 (7462), 287-295, doi: 10.1038/nature12350.
48. Richardson, A. D., et al., (2012), Terrestrial biosphere models need better representation of vegetation phenology: Results from the North American Carbon Program site synthesis, Global Change Biol., 18 (2), 566-584, doi: 10.1111/j.1365-2486.2011.02562.x.
49. Semple, B., M. Rankin, T. Koen, and, G. Geeves, (2010), A note on tree deaths during the current (2001-?) drought in south-eastern Australia, Aust. Geogr., 41 (3), 391-401, doi: 10.1080/00049182.2010.498042.
50. Sheffield, J., and, E. Wood, (2008), Projected changes in drought occurrence under future global warming from multi-model, multi-scenario, IPCC AR4 simulations, Clim. Dyn., 31 (1), 79-105, doi: 10.1007/s00382-007-0340-z.
51. Stern, H., G. De Hoedt, and, J. Ernst, (2000), Objective classification of Australian climates, Aust. Meteorol. Mag., 49 (2), 87-96.
52. Thornthwaite, C. W., (1948), An approach toward a rational classification of climate, Geogr. Rev., 38, 55-94.
53. Ummenhofer, C. C., A. Sen Gupta, P. R. Briggs, M. H. England, P. C. McIntosh, G. A. Meyers, M. J. Pook, M. R. Raupach, and, J. S. Risbey, (2011), Indian and Pacific Ocean influences on southeast Australian drought and soil moisture, J. Clim., 24 (5), 1313-1336, doi: 10.1175/2010JCLI3475.1.
54. United Nations Environment Program (1992), World Atlas of Desertification, edited by, N. Middleton, and, D. S. G. Thomas, Edward Arnold, London.
55. van Dijk, A. I. J. M., H. E. Beck, R. S. Crosbie, R. A. M. de Jeu, Y. Y. Liu, G. M. Podger, B. Timbal, and, N. R. Viney, (2013), The Millennium Drought in southeast Australia (2001-2009): Natural and human causes and implications for water resources, ecosystems, economy, and society, Water Resour. Res., 49 (2), 1040-1057, doi: 10.1002/wrcr.20123.
56. Vicente-Serrano, S. M., S. Beguería, and, J. I. López-Moreno, (2010), A multiscalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index, J. Clim., 23 (7), 1696-1718, doi: 10.1175/2009JCLI2909.1.
57. Vicente-Serrano, S. M., et al., (2013), Response of vegetation to drought time-scales across global land biomes, Proc. Natl. Acad. Sci. U.S.A., 110 (1), 52-57, doi: 10.1073/pnas.1207068110.
58. Viscarra-Rossel, R. A., R. Webster, E. N. Bui, and, J. A. Baldock, (2014), Baseline map of organic carbon in Australian soil to support national carbon accounting and monitoring under climate change, Global Change Biol., 20 (9), 2953-2970, doi: 10.1111/gcb.12569.
59. Wang, G. L., (2005), Agricultural drought in a future climate: Results from 15 global climate models participating in the IPCC 4th assessment, Clim. Dyn., 25, 739-753, doi: 10.1007/s00382-005-0057-9.
60. Wetherald, R. T., (2002), Simulation of hydrologic changes associated with global warming, J. Geophys. Res., 107 (D19), 4379, doi: 10.1029/2001JD001195.
61. White, M. A., P. E. Thornton, and, S. W. Running, (1997), A continental phenology model for monitoring vegetation responses to interannual climatic variability, Global Biogeochem. Cycles, 11 (2), 217-234, doi: 10.1029/97GB00330.
62. Yang, Y., D. Long, H. Guan, B. R. Scanlon, C. T. Simmons, L. Jiang, and, X. Xu, (2014), GRACE satellite observed hydrological controls on interannual and seasonal variability in surface greenness over mainland Australia, J. Geophys. Res. Biogeosci., 119, 2245-2260, doi: 10.1002/2014JG002670.
63. Zhang, L., W. R. Dawes, and, G. R. Walker, (2001), Response of mean annual evapotranspiration to vegetation changes at catchment scale, Water Resour. Res., 37 (3), 701-708, doi: 10.1029/2000WR900325.
64. Zhang, Y., et al., (2013), Extreme precipitation patterns and reductions of terrestrial ecosystem production across biomes, J. Geophys. Res. Biogeosci., 118, 148-157, doi: 10.1029/2012JG002136.
65. Zscheischler, J., et al., (2014), A few extreme events dominate global interannual variability in gross primary production, Environ. Res. Lett., 9 (3), 035001, doi: 10.1088/1748-9326/9/3/035001.