Variability and evolution of global land surface phenology over the past three decades (1982-2012)

Global Change Biology

Volumn 22, Issue 4, 2016, Pages 1456-1468

  Garonna, Irene ^a   de Jong, Rogier ^a   Schaepman, Michael E ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

GIMMS 3g; Growing season length; Land surface phenology; Spring and autumn phenology; Vegetation activity

Indexed keywords

AUTUMN; CLIMATE EFFECT; ECOSYSTEM RESPONSE; GROWING SEASON; LAND SURFACE; NORTHERN HEMISPHERE; PHENOLOGY; SPRING (SEASON); VEGETATION DYNAMICS;

ALGORITHM; CLIMATE CHANGE; ECOSYSTEM; PLANT DEVELOPMENT; SEASON; TELECOMMUNICATION;

ALGORITHMS; CLIMATE CHANGE; ECOSYSTEM; PLANT DEVELOPMENT; SATELLITE COMMUNICATIONS; SEASONS;

EID: 84959105488     PISSN: 13541013     EISSN: 13652486     Source Type: Journal    
DOI: 10.1111/gcb.13168     Document Type: Article

References (81)

1. Alcaraz-Segura D, Chuvieco E, Epstein HE, Kasischke ES, Trishchenko A (2010) Debating the greening vs. browning of the North American boreal forest: differences between satellite datasets. Global Change Biology, 16, 760-770.
2. Andrews DWK (2003) Tests for parameter instability and structural change with unknown change point: a corrigendum. Econometrica, 71, 395-397.
3. Andrews DW, Ploberger W (1994) Optimal tests when a nuisance parameter is present only under the alternative. Econometrica: Journal of the Econometric Society, 62, 1383-1414.
4. Arora VK, Boer GJ (2005) A parameterization of leaf phenology for the terrestrial ecosystem component of climate models. Global Change Biology, 11, 39-59.
5. Atkinson PM, Jeganathan C, Dash J, Atzberger C (2012) Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology. Remote Sensing of Environment, 123, 400-417.
6. Bai J, Perron P (2003) Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 18, 1-22.
7. Barichivich J, Briffa KR, Myneni RB et al. (2013) Large-scale variations in the vegetation growing season and annual cycle of atmospheric CO2 at high northern latitudes from 1950 to 2011. Global Change Biology, 19, 3167-3183.
8. Beck PSA, Atzberger C, Høgda KA, Johansen B, Skidmore AK (2006) Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI. Remote Sensing of Environment, 100, 321-334.
9. Bhatt US, Walker DA, Raynolds MK et al. (2013) Recent declines in warming and vegetation greening trends over pan-Arctic tundra. Remote Sensing, 5, 4229-4254.
10. Bogaert J, Zhou L, Tucker CJ, Myneni RB, Ceulemans R (2002) Evidence for a persistent and extensive greening trend in Eurasia inferred from satellite vegetation index data. Journal of Geophysical Research D: Atmospheres, 107, ACL 4-1-ACL 4-44.
11. Broich M, Huete A, Tulbure MG et al. (2014) Land surface phenological response to decadal climate variability across Australia using satellite remote sensing. Biogeosciences, 11, 5181-5198.
12. Brown RD (2000) Northern hemisphere snow cover variability and change, 1915-1997. Journal of Climate, 13, 2339-2355.
13. Buermann W, Parida B, Jung M, Macdonald GM, Tucker CJ, Reichstein M (2014) Recent shift in Eurasian boreal forest greening response may be associated with warmer and drier summers. Geophysical Research Letters, 41, 1995-2002.
14. Buitenwerf R, Rose L, Higgins SI (2015) Three decades of multi-dimensional change in global leaf phenology. Nature Climate Change, 5, 364-368.
15. Chen B, Xu G, Coops NC et al. (2014) Changes in vegetation photosynthetic activity trends across the Asia-Pacific region over the last three decades. Remote Sensing of Environment, 144, 28-41.
16. Cleland EE, Chuine I, Menzel A, Mooney HA, Schwartz MD (2007) Shifting plant phenology in response to global change. Trends in Ecology & Evolution, 22, 357-365.
17. De Beurs K, Henebry GM (2010) Spatio-temporal statistical methods for modelling land surface phenology. In: Phenological Research: Methods for Environmental and Climate Change Analysis (eds Hudson IL, Keatley MR), pp. 177-208. Springer, New York.
18. De Jong R, De Bruin S, De Wit A, Schaepman ME, Dent DL (2011) Analysis of monotonic greening and browning trends from global NDVI time-series. Remote Sensing of Environment, 115, 692-702.
19. De Jong R, Verbesselt J, Schaepman ME, Bruin S (2012) Trend changes in global greening and browning: contribution of short-term trends to longer-term change. Global Change Biology, 18, 642-655.
20. De Wit AJW, Su B (2005) Deriving phenological indicators from SPOT-VGT data using the HANTS algorithm. In: Proceedings of the 2nd International VEGETATION User Conference; 1998-2004: 6 Years of Operational Activities (eds Veroustraete F, Bartholomè E, Verstraeten WW), pp. 195-201, EC, Luxembourg.
21. D'Odorico P, Gonsamo A, Gough CM et al. (2015) The match and mismatch between photosynthesis and land surface phenology of deciduous forests. Agricultural and Forest Meteorology, 214-215, 25-38.
22. Dutrieux LP, Bartholomeus H, Herold M, Verbesselt J (2012) Relationships between declining summer sea ice, increasing temperatures and changing vegetation in the Siberian Arctic tundra from MODIS time series (2000-11). Environmental Research Letters, 7, 044028.
23. Dye DG (2002) Variability and trends in the annual snow-cover cycle in Northern Hemisphere land areas, 1972-2000. Hydrological Processes, 16, 3065-3077.
24. Dye DG, Tucker CJ (2003) Seasonality and trends of snow-cover, vegetation index, and temperature in northern Eurasia. Geophysical Research Letters, 30, 1405.
25. Ellis EC, Ramankutty N (2008) Putting people in the map: anthropogenic biomes of the world. Frontiers in Ecology and the Environment, 6, 439-447.
26. Fisher JI, Mustard JF, Vadeboncoeur MA (2006) Green leaf phenology at Landsat resolution: scaling from the field to the satellite. Remote Sensing of Environment, 100, 265-279.
27. Gallinat AS, Primack RB, Wagner DL (2015) Autumn, the neglected season in climate change research. Trends in Ecology & Evolution, 30, 169-176.
28. Garonna I, De Jong R, De Wit AJW, Mücher CA, Schmid B, Schaepman ME (2014) Strong contribution of autumn phenology to changes in satellite-derived growing season length estimates across Europe (1982-2011). Global Change Biology, 20, 3457-3470.
29. Gill AL, Gallinat AS, Sanders-Demott R, Rigden AJ, Short Gianotti DJ, Mantooth JA, Templer PH (2015) Changes in autumn senescence in northern hemisphere deciduous trees: a meta-analysis of autumn phenology studies. Annals of Botany, 116, 875-888.
30. Guay KC, Beck PSA, Berner LT, Goetz SJ, Baccini A, Buermann W (2014) Vegetation productivity patterns at high northern latitudes: a multi-sensor satellite data assessment. Global Change Biology, 20, 3147-3158.
31. Hansen BE (2002) Tests for parameter instability in regreessions with I(1) processes. Journal of Business and Economic Statistics, 20, 45-59.
32. Hein L, De Ridder N, Hiernaux P, Leemans R, De Wit A, Schaepman M (2011) Desertification in the Sahel: towards better accounting for ecosystem dynamics in the interpretation of remote sensing images. Journal of Arid Environments, 75, 1164-1172.
33. Hufkens K, Friedl M, Sonnentag O, Braswell BH, Milliman T, Richardson AD (2012) Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology. Remote Sensing of Environment, 117, 307-321.
34. Ibañez I, Primack RB, Miller-Rushing AJ et al. (2010) Forecasting phenology under global warming. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 365, 3247-3260.
35. IPCC (2007) Climate change 2007: synthesis report. In: Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (eds Core Writing Team, Pachauri RK, Reisinger A). IPCC, Geneva, Switzerland.
36. IPCC (2014) Climate change 2014: synthesis report. In: Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Core Writing Team, Pachauri RK, Meyer LA). IPCC, Geneva, Switzerland.
37. Jeganathan C, Dash J, Atkinson PM (2014) Remotely sensed trends in the phenology of northern high latitude terrestrial vegetation, controlling for land cover change and vegetation type. Remote Sensing of Environment, 143, 154-170.
38. Jeong SJ, Ho CH, Gim HJ, Brown ME (2011) Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982-2008. Global Change Biology, 17, 2385-2399.
39. Julien Y, Sobrino J (2009) Global land surface phenology trends from GIMMS database. International Journal of Remote Sensing, 30, 3495-3513.
40. Kathuroju N, White MA, Symanzik J, Schwartz MD, Powell JA, Nemani RR (2007) On the use of the advanced very high resolution radiometer for development of prognostic land surface phenology models. Ecological Modelling, 201, 144-156.
41. Liang L, Schwartz MD (2009) Landscape phenology: an integrative approach to seasonal vegetation dynamics. Landscape Ecology, 24, 465-472.
42. Metzger MJ, Brus DJ, Bunce RGH et al. (2013a) Environmental stratifications as the basis for national, European and global ecological monitoring. Ecological Indicators, 33, 26-35.
43. Metzger MJ, Bunce RGH, Jongman RHG, Sayre R, Trabucco A, Zomer R (2013b) A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring. Global Ecology and Biogeography, 22, 630-638.
44. Morisette JT, Richardson AD, Knapp AK et al. (2009) Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century. Frontiers in Ecology and the Environment, 7, 253-260.
45. Myneni RB, Keeling CD, Tucker CJ, Asrar G, Nemani RR (1997) Increased plant growth in the northern high latitudes from 1981 to 1991. Nature, 386, 698-702.
46. Panchen ZA, Primack RB, Gallinat AS, Nordt B, Stevens A-D, Du Y, Fahey R (2015) Substantial variation in leaf senescence times among 1360 temperate woody plant species: implications for phenology and ecosystem processes. Annals of Botany, 116, 865-873.
47. Park H, Jeong S-J, Ho C-H, Kim J, Brown ME, Schaepman ME (2015) Nonlinear response of vegetation green-up to local temperature variations in temperate and boreal forests in the Northern Hemisphere. Remote Sensing of Environment, 165, 100-108.
48. Parmentier FJW, Christensen TR, Sørensen LL, Rysgaard S, Mcguire AD, Miller PA, Walker DA (2013) The impact of lower sea-ice extent on Arctic greenhouse-gas exchange. Nature Climate Change, 3, 195-202.
49. Pearson RG, Phillips SJ, Loranty MM, Beck PSA, Damoulas T, Knight SJ, Goetz SJ (2013) Shifts in Arctic vegetation and associated feedbacks under climate change. Nature Climate Change, 3, 673-677.
50. Peñuelas J, Rutishauser T, Filella I (2009) Phenology feedbacks on climate change. Science, 324, 887-888.
51. Pinzon J, Tucker C (2014) A non-stationary 1981-2012 AVHRR NDVI3g time series. Remote Sensing, 6, 6929-6960.
52. Pomeroy J, Brun E (2001) Physical properties of snow. In: Snow Ecology: An Interdisciplinary Ecamination of Snow-Covered Ecosystems (eds Jones H, Hoham R, Pomeroy J, Walker D), pp. 45-126. Cambridge University Press, Cambridge.
53. Poulter B, Frank D, Ciais P et al. (2014) Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature, 509, 600-603.
54. Reed BC, Brown JF, Vanderzee D, Loveland TR, Merchant JW, Ohlen DO (1994) Measuring phenological variability from satellite imagery. Journal of Vegetation Science, 5, 703-714.
55. Reed BC, White MA, Brown JF (2003) Remote sensing phenology. In: Phenology: An Integrative Environmental Science (ed. Schwartz MD), pp. 365-381. Springer, Dordrecht, Netherlands.
56. Richardson AD, Anderson RS, Arain MA et al. (2012) Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis. Global Change Biology, 18, 566-584.
57. Richardson AD, Keenan TF, Migliavacca M, Ryu Y, Sonnentag O, Toomey M (2013) Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agricultural and Forest Meteorology, 169, 156-173.
58. Roerink G, Menenti M, Verhoef W (2000) Reconstructing cloudfree NDVI composites using Fourier analysis of time series. International Journal of Remote Sensing, 21, 1911-1917.
59. Roerink G, Menenti M, Soepboer W, Su Z (2003) Assessment of climate impact on vegetation dynamics by using remote sensing. Physics and Chemistry of the Earth, Parts A/B/C, 28, 103-109.
60. Scheffer M, Hirota M, Holmgren M, Van Nes EH, Chapin Iii FS (2012) Thresholds for boreal biome transitions. Proceedings of the National Academy of Sciences of the United States of America, 109, 21384-21389.
61. Schimel DS, House JI, Hibbard KA et al. (2001) Recent patterns and mechanisms of carbon exchange by terrestrial ecosystems. Nature, 414, 169-172.
62. Schimel D, Pavlick R, Fisher JB et al. (2015) Observing terrestrial ecosystems and the carbon cycle from space. Global Change Biology, 21, 1762-1776.
63. Sitch S, Friedlingstein P, Gruber N et al. (2015) Recent trends and drivers of regional sources and sinks of carbon dioxide. Biogeosciences, 12, 653-679.
64. Sweet SK, Griffin KL, Steltzer H, Gough L, Boelman NT (2015) Greater deciduous shrub abundance extends tundra peak season and increases modeled net CO2 uptake. Global Change Biology, 21, 2394-2409.
65. Tucker CJ, Slayback DA, Pinzon JE, Los SO, Myneni RB, Taylor MG (2001) Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999. International Journal of Biometeorology, 45, 184-190.
66. Tucker CJ, Pinzon JE, Brown ME et al. (2005) An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote Sensing, 26, 4485-4498.
67. Urban M, Forkel M, Eberle J, Hüttich C, Schmullius C, Herold M (2014) Pan-Arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981-2012). Remote Sensing, 6, 2296-2316.
68. Verbesselt J, Hyndman R, Newnham G, Culvenor D (2010) Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment, 114, 106-115.
69. Verburg PH, Neumann K, Nol L (2011) Challenges in using land use and land cover data for global change studies. Global Change Biology, 17, 974-989.
70. Walker D, Billings W, De Molenaar J (2001) Snow-vegetation interactions in tundra environments. In: Snow Ecology: An Interdisciplinary Examination of Snow-Covered Ecosystems (eds Jones H, Hoham R, Pomeroy J, Walker D), pp. 266-324. Cambridge University Press, Cambridge.
71. Wang X, Piao S, Xu X, Ciais P, Macbean N, Myneni RB, Li L (2015) Has the advancing onset of spring vegetation green-up slowed down or changed abruptly over the last three decades? Global Ecology and Biogeography, 24, 621-631.
72. White MA, De Beurs KM, Didan K et al. (2009) Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006. Global Change Biology, 15, 2335-2359.
73. Wu C, Gough CM, Chen JM, Gonsamo A (2013) Evidence of autumn phenology control on annual net ecosystem productivity in two temperate deciduous forests. Ecological Engineering, 60, 88-95.
74. Zeileis A, Kleiber C, Krämer W, Hornik K (2003) Testing and dating of structural changes in practice. Computational Statistics & Data Analysis, 44, 109-123.
75. Zeng H, Jia G, Epstein H (2011) Recent changes in phenology over the northern high latitudes detected from multi-satellite data. Environmental Research Letters, 6, 045508.
76. Zeng F-W, Collatz G, Pinzon J, Ivanoff A (2013) Evaluating and quantifying the climate-driven interannual variability in Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) at global scales. Remote Sensing, 5, 3918-3950.
77. Zhang X (2015) Reconstruction of a complete global time series of daily vegetation index trajectory from long-term AVHRR data. Remote Sensing of Environment, 156, 457-472.
78. Zhang X, Tan B, Yu Y (2014) Interannual variations and trends in global land surface phenology derived from enhanced vegetation index during 1982-2010. International Journal of Biometeorology, 58, 547-564.
79. Zhao M, Running SW (2010) Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science, 329, 940-943.
80. Zhao J, Wang Y, Hashimoto H, Melton FS, Hiatt SH, Zhang H, Nemani RR (2012) The variation of land surface phenology from 1982 to 2006 along the Appalachian trail. IEEE Transactions on Geoscience and Remote Sensing, 51, 2087-2095.
81. Zhu W, Tian H, Xu X, Pan Y, Chen G, Lin W (2012) Extension of the growing season due to delayed autumn over mid and high latitudes in North America during 1982-2006. Global Ecology and Biogeography, 21, 260-271.