Land surface phenological response to decadal climate variability across Australia using satellite remote sensing

Biogeosciences

Volumn 11, Issue 18, 2014, Pages 5181-5198

  Broich, M ^a,b   Huete, A ^a   Tulbure, M G ^b   Ma, X ^a   Xin, Q ^d   Paget, M ^c   Restrepo Coupe, N ^a   Davies, K ^a   Devadas, R ^a   Held, A ^c  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c CSIRO   (Australia)

^d TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANNUAL VARIATION; CLIMATE FORCING; CLIMATE VARIATION; LAND COVER; LAND SURFACE; NORTHERN HEMISPHERE; PHENOLOGY; REMOTE SENSING; SATELLITE IMAGERY;

AUSTRALIA;

EID: 84907930308     PISSN: 17264170     EISSN: 17264189     Source Type: Journal    
DOI: 10.5194/bg-11-5181-2014     Document Type: Article

References (75)

1. Andela, N., Liu, Y. Y., van Dijk, a. I. J. M., de Jeu, R. a. M., and McVicar, T. R.: Global changes in dryland vegetation dynamics (1988-2008) assessed by satellite remote sensing: comparing a new passive microwave vegetation density record with reflective greenness data, Biogeosciences, 10, 6657-6676, doi:10.5194/bg-10-6657-2013, 2013.
2. Australian Bureau of Meteorology: The 2010-2011 La Niña: Australia soaked by one of the strongest events on record, available at: http://www.bom.gov.au/climate/enso/feature/ENSO-feature.shtml, 2014a.
3. Australian Bureau of Meteorology: El Niño-Detailed Australian Analysis and La Niña-Detailed Australian Analysis, available at: http://www.bom.gov.au/climate/enso/enlist/; http://www.bom.gov.au/climate/enso/lnlist/, 2014b.
4. Australian Bureau of Meteorology: Climate Data Online: Average annual, seasonal and monthly rainfall (mm) and Rainfall variability (index of variability), available at: www.bom.gov.au/climate/data/index.shtml, 2014c.
5. Australian Bureau of Meteorology: Southern Oscillation Index Data, available at: http://www.bom.gov.au/climate/current/soi2.shtml, 2014d.
6. Australian Bureau of Meteorology: Rainfall variability, available at: http://www.bom.gov.au/jsp/ncc/climate-averages/rainfall-variability/index.jsp, 2014e.
7. Australian Bureau of Meteorology: ENSO impacts-temperature, available at: http://www.bom.gov.au/climate/enso/history/ln-2010-12/ENSO-temperature.shtml, 2014f.
8. Bradley, B. A. and Mustard, J. F.: Comparison of phenology trends by land cover class: a case study in the Great Basin, USA, Glob. Change Biol., 14, 334-346, 2007.
9. Brown, J. H., Valone, T. J., and Curtin, C. G.: Reorganization of an arid ecosystem in response to recent climate?change, Proc. Natl. Ac. Sci., 94, 9729-9733, 1997.
10. Brown, M. E. and de Beurs, K. M.: Evaluation of multi-sensor semiarid crop season parameters based on NDVI and rainfall, Remote Sens. Environ., 112, 2261-2271, 2008.
11. Brown, M. E., de Beurs, K., and Vrieling, A.: The response of African land surface phenology to large scale climate oscillations, Remote Sens. Environ., 114, 2286-2296, 2010.
12. Chen, B., Xu, G., Coops, N. C., Ciais, P., Innes, J. L.,Wang, G., Myneni, R. B.,Wang, T., Krzyzanowski, J., Li, Q., Cao, L., and Liu, Y.: Changes in vegetation photosynthetic activity trends across the Asia-Pacific region over the last three decades, Remote Sens. Environ., 144, 28-41, 2014a.
13. Chen, T., de Jeu, R. a. M., Liu, Y. Y., van der Werf, G. R., and Dolman, a. J.: Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia, Remote Sens. Environ., 140, 330-338, 2014b.
14. Connell, D.:Water politics in the Murray-Darling basin, Federation Press, 2007.
15. de Beurs, K. M., and Henebry, G. M.: Spatio-temporal statistical methods for modeling land surface phenology, in: Phenological Research, edited by: Hudson, I. L. and Keatley, M. R., Springer, Dordrecht, 2008.
16. de Jong, R., Verbesselt, J., Schaepman, M. E., and Bruin, S.: Trend changes in global greening and browning: contribution of shortterm trends to longer-term change, Glob. Change Biol., 18, 642-655, 2012.
17. Delbart, N., Kergoat, L., Le Toan, T., Lhermitte, J., and Picard, G.: Determination of phenological dates in boreal regions using normalized difference water index, Remote Sens. Environ., 97, 26-38, 2005.
18. Donohue, R. J., McVicar, T. R., and Roderick, M. L.: Climaterelated trends in Australian vegetation cover as inferred from satellite observations, 1981-2006, Glob. Change Biol., 15, 1025-1039, 2009.
19. Dougherty, R. L., Edelman, A., and Hyman, J. M.: Nonnegativity-, Monotonicity-, or Convexity-Preserving Cubic and Quintic Hermite Interpolation, Mathem. Computat., 52, 471-794, 1989.
20. Eklundh, L. and Jönsson, P.: TIMESAT 3.0 Software Manual, 1-74. (http://www.nateko.lu.se/timesat/docs/timesat3-1-1-SoftwareManual.pdf), 2010.
21. Friedl, M., Henebry, G., Reed, B., Huete, A., White, M., Morisette, J., Nemani, R., Zhang, X., and Myneni, R.: Land surface phenology, A Community White Paper requested by NASA, 10 April 2006.
22. Ganguly, S., Friedl, M. A., Tan, B., Zhang, X., and Verma, M.: Remote Sensing of Environment Land surface phenology from MODIS : Characterization of the Collection 5 global land cover dynamics product, Remote Sens. Environ., 114, 1805-1816, 2010.
23. Goddard Space Flight Center: Tropical Rainfall Monitoring Mission Project TRMM-3B43.v7 product, USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, http://trmm.gsfc.nasa.gov/, 2014.
24. Guan, K., Medvigy, D., Wood, E. F., Caylor, K. K., Li, S., and Jeong S. J.: Deriving vegetation phenological time and trajectory information over Africa using SEVIRI daily LAI, IEEE Ttrans. Geosci. Remote Sens., 53, 1113-1130, 2014a.
25. Guan, K., Wood, E. F., Caylor, K. K., Medvigy, D., Sheffield, J., Pan, M., Kimball, J., Xu, X., and Jones, M. O.: Terrestrial hydrological control on vegetation phenology of African savannas and woodlands, J. Geophys. Res. Biogeosciences, accepted, 2014b.
26. Heberger, M.: Australia's Millennium Drought: Impacts and Responses, in: The World's Water, edited by: Gleick, P. H., Island Press/Center for Resource Economics, 97-125, 2011.
27. Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., and Ferreira, L. G.: Overview of the radiometric and biophysical performance of theMODIS vegetation indices, Remote Sens. Environ., 83, 195-213, 2002.
28. Huete, A., Miura, T., Yoshioka, H., Ratana, P., and Broich, M.: Indices of Vegetation Activity, in, edited by: Hanes, J., Springer, Berlin Heidelberg, 2014.
29. Hufkens, K., Friedl, M., Sonnentag, O., Braswell, B. H., Milliman, T., and Richardson, A. D.: Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology, Remote Sens. Environ., 117, 307-321, 2012.
30. PCC: Climate Change 2001: impacts, adaptation, and vulnerability, Contribution of working group II to the third assessment report of the Intergovernmental Panel on Climate Change (IPCC), Cambridge University Press, Cambridge, 2001.
31. IPCC: Climate change 2007-impacts, adaptation and vulnerability, Contribution of Working Group II to the Fourth Assessment Report of the IPCC, Cambridge University Press, Cambridge, 2007.
32. IPCC: Climate Change 2013: The Physical Science Basis, Contribution ofWorking Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 2013.
33. Jones, M. O., Jones, L. a., Kimball, J. S., and McDonald, K. C.: Satellite passive microwave remote sensing for monitoring global land surface phenology, Remote Sens. Environ., 115, 1102-1114, 2011.
34. Keatley, M. R., Chambers, L. E., and Phillips, R.: Australia and New Zealand, in: Phenology: an Integrative Environmental Science, edited by: Schwartz, M. D., Springer, Dordrecht, 23-52, 2013.
35. Kingsford, R. T., Brandis, K., Thomas, R. F., Crighton, P., Knowles, E., and Gale, E.: Classifying landform at broad spatial scales: the distribution and conservation of wetlands in New South Wales, Australia, Mar. Fresh. Res., 55, 17-31, 2004.
36. Kirby, M., Connor, J., Bark, R., Qureshi, E., and Keyworth, S.: The economic impact of water reductions during the Millennium Drought in the Murray-Darling Basin, AARES conference, 2012, 7-10, 2012.
37. Köppen, W.: The thermal zones of the Earth according to the duration of hot, moderate and cold periods and of the impact of heat on the organic world. (translated and edited by Volken, E. and S. Brönnimann), Meteorologische Zeitschrift, 1, 351-360, 1884.
38. Leblanc, M., Tweed, S., Van Dijk, A., and Timbal, B.: A review of historic and future hydrological changes in the Murray-Darling Basin, Glob. Planet. Change, 80/81, 226-246, 2012.
39. Lehmann, E. L. and D'Abrera, H. J. M.: Nonparametrics: statistical methods based on ranks, Holden-Day, 1975.
40. Liang, L. and Schwartz, M.: Landscape phenology: an integrative approach to seasonal vegetation dynamics, Lands. Ecol., 24, 465-472, 2009.
41. Loik, M., Breshears, D., Lauenroth, W., and Belnap, J.: A multiscale perspective of water pulses in dryland ecosystems: climatology and ecohydrology of the western USA, Oecologia, 141, 269-281, 2004.
42. Lymburner, L., Tan, P., Mueller, N., Thackway, R., Lewis, A., Thankappan, M., Randall, L., Islam, A., and Senarath, U.: The National Dynamic Land Cover Dataset, Geoscience Australia, Symonston, Australia, p. 105, 2011.
43. Ma, X., Huete, A., Yu, Q., Coupe, N. R., Davies, K., Broich, M., Ratana, P., Beringer, J., Hutley, L. B., Cleverly, J., Boulain, N., and Eamus, D.: Spatial patterns and temporal dynamics in savanna vegetation phenology across the North Australian Tropical Transect, Remote Sens. Environ., 139, 97-115, 2013.
44. McMahon, T. A. T. A., Murphy, R., Little, P., Costelloe, J. F., Peel, M. C. M. C., Chiew, F. H. S., Hayes, S., Nathan, R. J. R. J., Kandel, D. D., (Firm), S. K. M., Engineering, U. o. M. D. o. C. a. E., and Heritage, A. D. o. t. E. a.: Hydrology of Lake Eyre Basin, edited by: McMahon, T. A., Murphy, R., Little, P., Costelloe, J. F., Peel, M. C., Chiew, F. H. S., Hayes, S., Nathan, R., Kandel, D. D., Canberra, Australian Capital Territory, Natural Heritage Trust, 2005.
45. Moulin, S., Kergoat, L., Viovy, N., and Dedieu, G.: Global-Scale Assessment of Vegetation Phenology Using NOAA/AVHRR Satellite Measurements, J. Climate, 10, 1154-1170, 1997.
46. Myneni, R. B., Keeling, C. D., Tucker, C. J., Asrar, G., and Nemani, R. R.: Increased plant growth in the northern high latitudes from 1981 to 1991, Nature, 386, 698-702, 1997.
47. Nemani, R. R., Keeling, C. D., Hashimoto, H., Jolly, W. M., Piper, S. C., Tucker, C. J., Myneni, R. B., and Running, S.W.: Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999, Science, 300, 1560-1563, 2003.
48. Nicholls, N.: The El Niño/Southern Oscillation and Australian vegetation, Vegetatio, 91, 23-36, 1991.
49. Nicholls, N., Drosdowsky, W., and Lavery, B.: Australian rainfall variability and change, Weather, 52, 66-72, 1997.
50. OzFlux: Australian and New Zealand Flux Research and Monitoring, http://www.ozflux.org.au/, 2014.
51. Peñuelas, J., Rutishauser, T., and Filella, I.: Phenology Feedbacks on Climate Change, Science, 324, 887-888, 2009.
52. Philippon, N., Martiny, N., Camberlin, P., Hoffman, M. T., and Gond, V.: Timing and patterns of ENSO signal in Africa over the last 30 years: insights from Normalized Difference Vegetation Index data, J. Climate, 27, 2509-2532, 2014.
53. Pitman, A. J.: The evolution of and revolution in, land surface schemes designed for climate models, Int. J. Climatol., 23, 479-510, 2003.
54. Ponce Campos, G. E., Moran, M. S., Huete, A., Zhang, Y., Bresloff, C., Huxman, T. E., Eamus, D., Bosch, D. D., Buda, A. R., Gunter, S. A., Scalley, T. H., Kitchen, S. G., McClaran, M. P., McNab,W. H., Montoya, D. S., Morgan, J. A., Peters, D. P. C., Sadler, E. J., Seyfried, M. S., and Starks, P. J.: Ecosystem resilience despite large-scale altered hydroclimatic conditions, Nature, 494, 349-352, 2013.
55. Primack, R. B. and Miller-Rushing, A. J.: Broadening the study of phenology and climate change, New Phytologist, 191, 307-309, 2011.
56. Restrepo-Coupe, N., Huete, A., Broich, M., and Davies, K.: Phenology Validation, in: Terrestrial Ecosystem Research Network, 2013.
57. Richardson, A., Jenkins, J., Braswell, B., Hollinger, D., Ollinger, S., and Smith, M.-L.: Use of digital webcam images to track spring green-up in a deciduous broadleaf forest, Oecologia, 152, 323-334, 2007.
58. Richardson, A. D., Keenan, T. F., Migliavacca, M., Ryu, Y., Sonnentag, O., and Toomey, M.: Climate change, phenology, and phenological control of vegetation feedbacks to the climate system, Agr. Forest Meteorol., 169, 156-173, 2013.
59. Risbey, J. S., Pook, M. J., McIntosh, P. C., Wheeler, M. C., and Hendon, H. H.: On the Remote Drivers of Rainfall Variability in Australia, Month. Weather Rev., 137, 3233-3253, 2009.
60. Savitzky, A. and Golay, M. J. E.: Smoothing and Differentiation of Data by Simplified Least Squares Procedures, Analyt. Chem., 36, 1627-1639, 1964.
61. Schwartz, M.: Introduction, in, edited by: Schwartz, M., Tasks for Vegetation Science, Springer, Netherlands, 3-7, 2003.
62. Schwartz, M. D.: Preface, in: Phenology: An Integrative Environmental Science, edited by: Schwartz, M. D., Springer, Dordrecht, 2013.
63. Stone, R. C., Hammer, G. L., and Marcussen, T.: Prediction of global rainfall probabilities using phases of the Southern Oscillation Index, Nature, 384, 252-255, 1996.
64. Tan, B., Morisette, J. T., Wolfe, R. E., Gao, F., Ederer, G. A., Nightingale, J., and Pedelty, J. A.: An Enhanced TIMESAT Algorithm for Estimating Vegetation Phenology Metrics From MODIS Data, IEEE J. Select. Top. Appl. Earth Observat. Remote Sens., 4, 361-371, 2011.
65. Trenberth, K. E. and Caron, J. M.: The Southern Oscillation Revisited: Sea Level Pressures, Surface Temperatures, and Precipitation, J. Climate, 13, 4358-4365, 2000.
66. United Nations: Global Drylands: A UN system-wide response, Geneva, Switzerland, 2011.
67. van Dijk, A. I. J. M., Beck, H. E., Crosbie, R. S., de Jeu, R. a. M., Liu, Y. Y., Podger, G. M., Timbal, B., and Viney, N. R.: 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, 1040-1057, 2013.
68. Walker, J. J., de Beurs, K. M., Wynne, R. H., and Gao, F.: Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology, Remote Sens. Environ., 117, 381-393, 2012.
69. Walker, J. J., de Beurs, K. M., and Wynne, R. H.: Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data, Remote Sens. Environ., 144, 85-97, 2014.
70. White, M. A., Thornton, P. E., and Running, S. W.: A continental phenology model for monitoring vegetation responses to interannual climatic variability, Global Biogeochem. Cy., 11, 217-234, 1997.
71. Young, W. J. and Kingsford, R. T.: Flow variability in large unregulated dryland rivers, in: Ecology of Desert Rivers, edited by: R. T., Kingsford, Cambridge University Press, Cambridge 2006.
72. Zhang, X., Friedl, M. A., and Schaaf, C. B.: Monitoring vegetation phenology using MODIS, Remote Sensing of Environment, 84, 471-475, 2003.
73. Zhang, X., Friedl, M. A., and Schaaf, C. B.: Sensitivity of vegetation phenology detection to the temporal resolution of satellite data, Int. J. Remote Sens., 30, 2061-2074, 2009.
74. Zhang, X. Y., Friedl, M. A., and Tan, B.: Long-term detection of global vegetation phenology from satellite instruments, in: In-Tech, edited by: Zhang, X., InTech, 2012.
75. Zhang, Y., Susan Moran, M., Nearing, M. A., Ponce Campos, G. E., Huete, A. R., Buda, A. R., Bosch, D. D., Gunter, S. A., Kitchen, S. G., Henry McNab, W., Morgan, J. A., McClaran, M. P., Montoya, D. S., Peters, D. P. C., and Starks, P. J.: Extreme precipitation patterns and reductions of terrestrial ecosystem production across biomes, J. Geophys. Res. Biogeosciences, 118, 148-157, 2013, http://www.biogeosciences.net/118/148/2013/.