Literature DB >> 20819815

Influence of spring and autumn phenological transitions on forest ecosystem productivity.

Andrew D Richardson1, T Andy Black, Philippe Ciais, Nicolas Delbart, Mark A Friedl, Nadine Gobron, David Y Hollinger, Werner L Kutsch, Bernard Longdoz, Sebastiaan Luyssaert, Mirco Migliavacca, Leonardo Montagnani, J William Munger, Eddy Moors, Shilong Piao, Corinna Rebmann, Markus Reichstein, Nobuko Saigusa, Enrico Tomelleri, Rodrigo Vargas, Andrej Varlagin.   

Abstract

We use eddy covariance measurements of net ecosystem productivity (NEP) from 21 FLUXNET sites (153 site-years of data) to investigate relationships between phenology and productivity (in terms of both NEP and gross ecosystem photosynthesis, GEP) in temperate and boreal forests. Results are used to evaluate the plausibility of four different conceptual models. Phenological indicators were derived from the eddy covariance time series, and from remote sensing and models. We examine spatial patterns (across sites) and temporal patterns (across years); an important conclusion is that it is likely that neither of these accurately represents how productivity will respond to future phenological shifts resulting from ongoing climate change. In spring and autumn, increased GEP resulting from an 'extra' day tends to be offset by concurrent, but smaller, increases in ecosystem respiration, and thus the effect on NEP is still positive. Spring productivity anomalies appear to have carry-over effects that translate to productivity anomalies in the following autumn, but it is not clear that these result directly from phenological anomalies. Finally, the productivity of evergreen needleleaf forests is less sensitive to phenology than is productivity of deciduous broadleaf forests. This has implications for how climate change may drive shifts in competition within mixed-species stands.

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Year:  2010        PMID: 20819815      PMCID: PMC2981939          DOI: 10.1098/rstb.2010.0102

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  14 in total

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10.  Influence of spring phenology on seasonal and annual carbon balance in two contrasting New England forests.

Authors:  Andrew D Richardson; David Y Hollinger; D Bryan Dail; John T Lee; J William Munger; John O'keefe
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  71 in total

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3.  The annual cycles of phytoplankton biomass.

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7.  An observation-based progression modeling approach to spring and autumn deciduous tree phenology.

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10.  Modelling the phytoplankton dynamics in a nutrient-rich solar saltern pond: predicting the impact of restoration and climate change.

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