Influence of spring and autumn phenological transitions on forest ecosystem productivity
Andrew D. Richardson,T. Andy Black,Philippe Ciais,Nicolas Delbart,Mark A. Friedl,Nadine Gobron,David Y. Hollinger,Werner L. Kutsch,Bernard Longdoz,Sebastiaan Luyssaert,Sebastiaan Luyssaert,Mirco Migliavacca,Leonardo Montagnani,Leonardo Montagnani,J. William Munger,Eddy Moors,Shilong Piao,Corinna Rebmann,Markus Reichstein,Nobuko Saigusa,Enrico Tomelleri,Rodrigo Vargas,Andrej Varlagin +22 more
TLDR
Investigation of relationships between phenology and productivity in temperate and boreal forests finds the productivity of evergreen needleleaf forests is less sensitive to phenology than is productivity of deciduous broadleaf forests, which has implications for how climate change may drive shifts in competition within mixed-species stands.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.read more
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Seasonal differences in the relationships between the changes in spring phenology and the dynamics of carbon cycle for grasslands
TL;DR: In this article, the authors investigated the relationship between spring phenological changes and the dynamics of carbon cycle, including NEP; ecosystem respiration, ER; and gross ecosystem production, at a ten-day scale.
Journal ArticleDOI
Delayed autumnal leaf senescence following nutrient fertilization results in altered nitrogen resorption.
TL;DR: In this paper , the impacts of nutrient addition on leaf senescence and leaf resorption were investigated in 2-year-old larch seedlings in northern China. And the results showed that nutrient addition (i.e., N, P, or N−+P addition) significantly delayed autumnal leaf Senescence, and decreased leaf N Resorption efficiency (NRE) and proficiency (NRP), particularly in the N and N+P treatments.
Book ChapterDOI
Spring Phenology of the Boreal Ecosystems
TL;DR: In this article, a remote sensing green-up retrieval method designed to avoid signal contamination by snow was presented, and the result validation with ground observations showed that the method caught the interannual variations in phenology of the plant community.
Journal ArticleDOI
Why don’t phenophase dates in the current year affect the same phenophase dates in the following year?
TL;DR: It is highlighted that recurrence interval and time restrictions in the effects of seasonal temperatures on phenophase dates are the main environmental causes of nonsignificant correlations between Phenophase occurrence dates in the current and following years.
Assimilation of NEON Observations Into a Process‐Based Carbon Cycle Model Reveals Divergent Mechanisms of Carbon Dynamics in Temperate Deciduous Forests
TL;DR: In this article , the authors used data from three deciduous forest sites in the National Ecological Observatory Network (NEON) to do site-specific parameterizations in the Terrestrial ECOsystem model (TECO), and explore controls of the net C uptake.
References
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TL;DR: The FLUXNET project as mentioned in this paper is a global network of micrometeorological flux measurement sites that measure the exchanges of carbon dioxide, water vapor, and energy between the biosphere and atmosphere.
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