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T. Farrar, S. Nicholson, A. Lare (1994)
The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semiarid Botswana. I. NDVI response to rainfallRemote Sensing of Environment, 50
G. Ne’eman (1993)
Variation in leaf phenology and habit in Quercus ithaburensis, a Mediterranean deciduous treeJournal of Ecology, 81
K. Kikuzawa (1995)
Leaf phenology as an optimal strategy for carbon gain in plantsBotany, 73
A. Bertrand, G. Robitaille, P. Nadeau, R. Boutin (1994)
Effects of soil freezing and drought stress on abscisic acid content of sugar maple sap and leaves.Tree physiology, 14 4
K. Kramer (1996)
Phenology and growth of European trees in relation to climate change
A. Vegis (1964)
Dormancy in Higher PlantsAnnual Review of Plant Biology, 15
M. White, P. Thornton, S. Running (1997)
A continental phenology model for monitoring vegetation responses to interannual climatic variabilityGlobal Biogeochemical Cycles, 11
J. Kaduk, M. Heimann (1996)
A prognostic phenology scheme for global terrestrial carbon cycle modelsClimate Research, 6
J. Eischeid, C. Baker, T. Karl, H. Diaz (1995)
The Quality Control of Long-Term Climatological Data Using Objective Data AnalysisJournal of Applied Meteorology, 34
Nathale Ducoudré, K. Laval, A. Perrier (1993)
SECHIBA : a new set of parameterizations of the hydrologic exchanges at the land-atmosphere interface within the LMD atmospheric general circulation modelJournal of Climate, 6
T. Loveland, A. Belward (1997)
The IGBP-DIS global 1km land cover data set, DISCover: First resultsInternational Journal of Remote Sensing, 18
S. Moulin, L. Kergoat, N. Viovy, G. Dedieu (1997)
Global-Scale Assessment of Vegetation Phenology Using NOAA/AVHRR Satellite MeasurementsJournal of Climate, 10
R. Betts, P. Cox, Susan Lee, F. Woodward (1997)
Contrasting physiological and structural vegetation feedbacks in climate change simulationsNature, 387
P. Sellers, C. Tucker, G. Collatz, S. Los, C. Justice, D. Dazlich, D. Randall (1996)
A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part II: The Generation of Global Fields of Terrestrial Biophysical Parameters from Satellite DataJournal of Climate, 9
H. Hänninen (1995)
Effects of climatic change on trees from cool and temperate regions: an ecophysiological approach to modelling of bud burst phenologyBotany, 73
D. Stewart, L. Dwyer (1994)
A model of expansion and senescence of individual leaves of field-grown maize (Zea mays L.)Canadian Journal of Plant Science, 74
R. Myneni, C. Keeling, C. Tucker, G. Asrar, R. Nemani (1997)
Increased plant growth in the northern high latitudes from 1981 to 1991Nature, 386
G. Guyot (1992)
Physical measurements and signatures in remote sensingRemote Sensing of Environment, 41
A. Ruimy, G. Dedieu, B. Saugier (1996)
TURC: A diagnostic model of continental gross primary productivity and net primary productivityGlobal Biogeochemical Cycles, 10
M. Pitt, B. Wikeem (1990)
Phenological patterns and adaptations in an Artemisia/Agropyron plant community.Journal of Range Management, 43
A. Hunter, M. Lechowicz (1992)
Predicting the timing of budburst in temperate treesJournal of Applied Ecology, 29
(1992)
The global Climate Perspectives System (GCPS): The Hardware/Software Component
T. Chase, R. Pielke, T. Kittel, R. Nemani, S. Running (1996)
Sensitivity of a general circulation model to global changes in leaf area indexJournal of Geophysical Research, 101
J. Townshend (1994)
Global data sets for land applications from the Advanced Very High Resolution Radiometer: an introductionInternational Journal of Remote Sensing, 15
J. Singh, V. Singh (1992)
Phenology of seasonally dry tropical forestCurrent Science, 63
J. Nizinski, B. Saugier (1988)
A model of leaf budding and development for a mature Quercus forestJournal of Applied Ecology, 25
M. Garber (1983)
Effects of chilling and photoperiod on dormancy release of container-grown loblolly pine seedlingsCanadian Journal of Forest Research, 13
P. Reich (1995)
PHENOLOGY OF TROPICAL FORESTS : PATTERNS, CAUSES, AND CONSEQUENCESBotany, 73
C. Waelbroeck, P. Monfray, W. Oechel, S. Hastings, G. Vourlitis (1997)
The impact of permafrost thawing on the carbon dynamics of tundraGeophysical Research Letters, 24
M. Goulden, J. Munger, S. Fan, B. Daube, S. Wofsy (1996)
Exchange of Carbon Dioxide by a Deciduous Forest: Response to Interannual Climate VariabilityScience, 271
M. Murray, M. Cannell, Ron Smith (1989)
Date of budburst of fifteen tree species in Britain following climatic warmingJournal of Applied Ecology, 26
A. Menzel, P. Fabian (1999)
Growing season extended in EuropeNature, 397
C. Dickinson, J. Dodd (1976)
Phenological Pattern in the Shortgrass PrairieAmerican Midland Naturalist, 96
(1999)
Mode Âlisation globale de la phe Ânologie de la biosphe Áre continentale a Á partir de donne Âes satellitaires
A. Haxeltine, I. Prentice (1996)
BIOME3: An equilibrium terrestrial biosphere model based on ecophysiological constraints, resource availability, and competition among plant functional typesGlobal Biogeochemical Cycles, 10
N. Viovy, O. Arino, A. Belward (1992)
The Best Index Slope Extraction ( BISE): A method for reducing noise in NDVI time-seriesInternational Journal of Remote Sensing, 13
P. Hari, R. Häkkinen (1991)
The utilization of old phenological time series of budburst to compare models describing annual cycles of plants.Tree physiology, 8 3
X. Roux (1995)
Étude et modélisation des échanges d'eau et d'énergie sol-végétation-atmosphère dans une savane humide (Lamto, Côte d'Ivoire)
I. Prentice, W. Cramer, S. Harrison, R. Leemans, R. Monserud, A. Solomon (1992)
A global biome model based on plant physiology and dominance, soil properties and climateJournal of Biogeography, 19
J. Kindermann, M. Lüdeke, F. Badeck, R. Otto, A. Klaudius, C. Häger, G. Würth, T. Lang, S. Dönges, S. Habermehl, G. Kohlmaier (1993)
Structure of a global and seasonal carbon exchange model for the terrestrial biosphere : the Frankfurt Biosphere Model (FBM)Water Air and Soil Pollution, 70
C. Justice, J. Townshend, B. Holben, C. Tucker (1985)
Analysis of the phenology of global vegetation using meteorological satellite dataInternational Journal of Remote Sensing, 6
(1993)
The Frankfurt Biosphere Model (FBM). Water Soil, and Air Pollution
(1974)
Monitoring the vernal advancement of retrogradation of natural vegetation
A. Friend, A. Stevens, R. Knox, M. Cannell (1997)
A process-based, terrestrial biosphere model of ecosystem dynamics (Hybrid v3.0)Ecological Modelling, 95
H. Lieth (1975)
Modeling the Primary Productivity of the WorldThe Indian Forester, 98
M. Cannell, R. Smith (1986)
CLIMATIC WARMING, SPRING BUDBURST AND FROST DAMAGE ON TREESJournal of Applied Ecology, 23
Summary Leaf phenology describes the seasonal cycle of leaf functioning. Although it is essential for understanding the interactions between the biosphere, the climate, and biogeochemical cycles, it has received little attention in the modelling community at global scale. This article focuses on the prediction of spatial patterns of the climatological onset date of leaf growth for the decade 1983–93. It examines the possibility of extrapolating existing local models of leaf onset date to the global scale. Climate is the main variable that controls leaf phenology for a given biome at this scale, and satellite observations provide a unique means to study the seasonal cycle of canopies. We combine leaf onset dates retrieved from NOAA/AVHRR satellite NDVI with climate data and the DISCover land‐cover map to identify appropriate models, and determine their new parameters at a 0.5° spatial resolution. We define two main regions: at temperate and high latitudes leaf onset models are mainly dependent on temperature; at low latitudes they are controlled by water availability. Some local leaf onset models are no longer relevant at the global scale making their calibration impossible. Nevertheless, we define our unified model by retaining the model that best reproduced the spatial distribution of leaf onset dates for each biome. The main spatial patterns of leaf onset date are well simulated, such as the Sahelian gradient due to aridity and the high latitude gradient due to frost. At temperate and high latitudes, simulated onset dates are in good agreement with climatological observations; 62% of treated grid‐cells have a simulated leaf onset date within 10 days of the satellite observed onset date (which is also the temporal resolution of the NDVI data). In tropical areas, the subgrid heterogeneity of the phenology is larger and our model's predictive power is diminished. The difficulties encountered in the tropics are due to the ambiguity of the satellite signal interpretation and the low reliability of rainfall and soil moisture fields.
Global Change Biology – Wiley
Published: Oct 1, 2000
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