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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Comparison of phenology estimated from reflectance-based indices and solar-induced chlorophyll fluorescence (SIF) observations in a temperate forest using GPP-based phenology as the standard
TL;DR: This study reveals that SIF provides a better way to monitor GPP-based phenological metrics, and has a good potential to track seasonal transition of photosynthetic activities in both spring and fall seasons.
Journal ArticleDOI
Relationship between spatio-temporal characteristics of leaf-fall phenology and seasonal variations in near surface-and satellite-observed vegetation indices in a cool-temperate deciduous broad-leaved forest in Japan
Shin Nagai,Tomoharu Inoue,Toshiyuki Ohtsuka,Hideki Kobayashi,Kenji Kurumado,Hiroyuki Muraoka,Kenlo Nishida Nasahara +6 more
TL;DR: In this article, the authors examined the relationship between the spatio-temporal distribution of leaf litter for each species and the seasonal patterns of in situ and satellite-observed daily vegetation indices in a cool-temperate deciduous broad-leaved forest.
Journal ArticleDOI
Five years of phenological monitoring in a mountain grassland: inter-annual patterns and evaluation of the sampling protocol.
Gianluca Filippa,Edoardo Cremonese,Marta Galvagno,Mirco Migliavacca,Umberto Morra di Cella,Martina Petey,Consolata Siniscalco +6 more
TL;DR: Results show that spring phenology requires a smaller number of samples than autumn phenology to track a given target of IAV, and productivity indices have a higher sampling requirement than greenness derived from visual estimation and from the analysis of digital images.
Journal ArticleDOI
Model-data assimilation of multiple phenological observations to constrain and predict leaf area index
TL;DR: The results indicate that during spring the observations contribute most in determining the correct bud-burst date, after which the model performs well, but accurately modeling fall leaf senesce requires continuous model updating from observations, and overall the prediction follows observed NEE better than the model alone.
Journal ArticleDOI
Reliability of the global climate models during 1961–1999 in arid and semiarid regions of China
TL;DR: The results served as a reference for model selection in future studies regarding impacts of climate change on eco-hydrology, and the top models for precipitation and temperature at different spatial scales were recommended.
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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Shifting plant phenology in response to global change
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