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Influence of spring and autumn phenological transitions on forest ecosystem productivity

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.

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Seasonal changes in camera-based indices from an open canopy black spruce forest in Alaska, and comparison with indices from a closed canopy evergreen coniferous forest in Japan

TL;DR: In this article, the relationship between seasonal variations in camera-based canopy surface indices and eddy-covariance-based GPP derived from field studies in an Alaskan open canopy black spruce forest and in a Japanese closed canopy cedar forest was examined.
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Dynamics of phenology and its response to climatic variables in a warm-temperate mixed plantation

TL;DR: In this paper, the authors compared phenological metrics obtained from flux tower gross primary production (GPP) of a mixed plantation with phenological metric derived using MODIS EVI and MCD12Q2 from 2006 to 2017, and explored phenological transitions and the response of phenology to climatic variables.
Journal ArticleDOI

Assimilating phenology datasets automatically across ICOS ecosystem stations

TL;DR: In this article, the installation of digital cameras that take images at regular intervals of plant canopies across the Integrated Carbon Observation System ecosystem stations will provide a reliable and important record of variations in canopy state, colour and the timing of key phenological events.
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Responses of vegetation green-up date to temperature variation in alpine grassland on the Tibetan Plateau

TL;DR: In this paper, the authors evaluated 14 years of field GUD observations of sedge species Kobresia humilis on the Tibetan Plateau and found that January and March-April were two critical periods in determining the long-term GUD variations.
References
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Journal ArticleDOI

Increased plant growth in the northern high latitudes from 1981 to 1991

TL;DR: In this paper, the authors present evidence from satellite data that the photosynthetic activity of terrestrial vegetation increased from 1981 to 1991 in a manner that is suggestive of an increase in plant growth associated with a lengthening of the active growing season.
Journal ArticleDOI

Shifting plant phenology in response to global change

TL;DR: Recent advances in several fields that have enabled scaling between species responses to recent climatic changes and shifts in ecosystem productivity are discussed, with implications for global carbon cycling.
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