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Influence of spring and autumn phenological transitions on forest ecosystem productivity

pmid: 20819815
pmc: PMC2981939
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.
- Free University of Amsterdam Pure VU Amsterdam Netherlands
- National Research Institute for Agriculture, Food and Environment France
- Boston College United States
- University of California, Berkeley United States
- Peking University China (People's Republic of)
Growing season length, sub-alpine forest, 550, 551, Biochemistry, growing season length, Trees, temporal variation, primary productivity, Photosynthesis, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, interannual variation, Agricultural and Biological Sciences(all), terrestrial ecosystems, deciduous forest, Carbon cycle, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment, Phenology, climate-change, Seasons, environment, 570, Canada, interannual variability, Climate Change, phenology, Models, Biological, Statistics, Nonparametric, carbon cycle, growing-season length, boreal forest, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Biology, Ecosystem, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Centrum Water en Klimaat - Climate Change, Interannual variation, Atmosphere, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, co2 exchange, carbon sequestration, Primary productivity, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, Genetics and Molecular Biology(all)
Growing season length, sub-alpine forest, 550, 551, Biochemistry, growing season length, Trees, temporal variation, primary productivity, Photosynthesis, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, interannual variation, Agricultural and Biological Sciences(all), terrestrial ecosystems, deciduous forest, Carbon cycle, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment, Phenology, climate-change, Seasons, environment, 570, Canada, interannual variability, Climate Change, phenology, Models, Biological, Statistics, Nonparametric, carbon cycle, growing-season length, boreal forest, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Biology, Ecosystem, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Centrum Water en Klimaat - Climate Change, Interannual variation, Atmosphere, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, co2 exchange, carbon sequestration, Primary productivity, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, Genetics and Molecular Biology(all)
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).804 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 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
