Climatic Control of the High-Latitude Vegetation Greening Trend and Pinatubo Effect

By Wolfgang Lucht, I. C. Prentice, Ranga B. Myneni, Stephen Sitch, Pierre Friedlingstein, W. Cramer, P. Bousquet, W. Buermann, Benjamin Smith. Science, 2002

758 citations recorded by the source corpus.

A biogeochemical model of vegetation using observed climate data predicts the high northern latitude greening trend over the past two decades observed by satellites and a marked setback in this trend after the Mount Pinatubo volcano eruption in 1991. The observed trend toward earlier spring budburst and increased maximum leaf area is produced by the model as a consequence of biogeochemical vegetation responses mainly to changes in temperature. The post-Pinatubo decline in vegetation in 1992–1993 is apparent as the effect of temporary cooling caused by the eruption. High-latitude CO2 uptake during these years is predicted as a consequence of the differential response of heterotrophic respiration and net primary production.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/f8ead64037802ba101b509499b004e2e7cd6a0dc

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Citations in the corpus

Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model (2009, methodology): “LPJ has been used in numerous studies on responses and feedbacks of the biosphere in the Earth System (e.g. Brovkin et al., 2004; Lucht et al., 2002; Schaphoff et al., 2006; Sitch et al., 2005), and is probably the most extensively evaluated biosphere model to date.”
Detection and attribution of vegetation greening trend in China over the last 30 years (2015, methodology): “Several of these models (e.g., LPJ, ORCHIDEE, and CLM4) have also been applied to detect and attribute change in vegetation growth at the regional and continental scale (Lucht et al., 2002; Piao et al., 2006; Mao et al., 2013; Poulter et al., 2013 ).”
Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982–2008 (2011, background): “…annual net carbon exchange may not change, changes in the timing r 2011 Blackwell Publishing Ltd, Global Change Biology, 17, 2385–2399 of the start and end of growing season can change the atmospheric CO2 amplitude (Lucht et al., 2002; Nemani et al., 2002; Schaffer et al., 2005; Piao et al., 2007).”
Contribution of permafrost soils to the global carbon budget (2013, background): “…has also changed significantly in response to climatic changes, which has been documented by an observed increase of greenness and productivity (Lucht et al 2002, Walker et al 2012), by changes in biome composition (Chapin et al 2004, Wilmking et al 2004), an advance of tree line (Lloyd 2005),…”
Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades (2007, background): “…al., 2001; Suzuki et al., 2003; Stöckli and Vidale, 2004], atmospheric CO2 observation data [Keeling et al., 1996], and ecological process modeling [Lucht et al., 2002] all robustly indicate that the vegetation growing season length (GSL) significantly increased over the past decades, principally…”
Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO2 trends (2013, neutral): “Myneni, submitted), satellite-based leaf area index (LAI) retrieval products (Lucht et al., 2002; Piao et al., 2006, 2008), and observed vegetation productivity and carbon storage (Randerson et al.”
Adaptation to climate change in the developing world (2003, background): “…from natural variation in climate at small scales, evidence of long-term geophysical and biological changes is now apparent in many parts of the world, such as the retreat of mountain glaciers, the earlier arrival of spring (IPCC, 2001a) and changes in primary productivity (Lucht et al., 2002).”
Vulnerability of Mediterranean Basin ecosystems to climate change and invasion by exotic plant species (2006, methodology): “(Lucht et al., 2002; Sitch et al., 2003) and temporal (Heimann et al.”
Annual and interannual (ENSO) variability of spatial scaling properties of a vegetation index (NDVI) in Amazonia (2004, background): “Changes in vegetation patterns have been studied at a global scale through NDVI estimates (Lucht et al., 2002).”
Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology (2013, neutral): “These greening trends were reproduced by a Dynamic Global Vegetation Model (DGVM) and attributed to increasing temperatures [11].”