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

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 CO2uptake during these years is predicted as a consequence of the differential response of heterotrophic respiration and net primary production.
- Western Sydney University Australia
- Boston College United States
- French National Centre for Scientific Research France
- University of Bristol United Kingdom
- University of Augsburg Germany
550, Climate, Plant Development, Volcanic Eruptions, Models, Biological, XXXXXX - Unknown, Computer Simulation, Biomass, Ecosystem, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, Geography, plants, Atmosphere, Temperature, 500, climatology, Carbon Dioxide, 620, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Plant Leaves, Seasons, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
550, Climate, Plant Development, Volcanic Eruptions, Models, Biological, XXXXXX - Unknown, Computer Simulation, Biomass, Ecosystem, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, Geography, plants, Atmosphere, Temperature, 500, climatology, Carbon Dioxide, 620, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Plant Leaves, Seasons, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).646 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 0.1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
