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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Fine-scale perspectives on landscape phenology from unmanned aerial vehicle (UAV) photography
Stephen Klosterman,Eli K. Melaas,Jonathan A. Wang,Arturo Martinez,Sidni Frederick,John O'Keefe,David A. Orwig,Zhuosen Wang,Zhuosen Wang,Zhuosen Wang,Qingsong Sun,Crystal B. Schaaf,Mark A. Friedl,Andrew D. Richardson,Andrew D. Richardson +14 more
TL;DR: In this paper, the authors use aerial photography recorded from an unmanned aerial vehicle (UAV) to observe plant phenology over a large area and across diverse communities, with spatial and temporal resolution at the scale of individual tree crowns and their phenophase transition events (10m spatial resolution, ∼5-day temporal resolution in spring, weekly in autumn).
Journal ArticleDOI
Experimental warming studies on tree species and forest ecosystems: a literature review
Haegeun Chung,Hiroyuki Muraoka,Masahiro Nakamura,Saerom Han,Onno Muller,Onno Muller,Yowhan Son +6 more
TL;DR: Experimental warming studies in boreal and temperate forests or tree species are reviewed by scaling up to forest level responses and considering the indirect effects of higher temperature to show that the effect of temperature on photosynthesis is strongly dependent on the position of the leaf or plant within the forest and the time of the year.
Journal ArticleDOI
Trends in fall phenology across the deciduous forests of the Eastern USA
TL;DR: In this paper, the authors investigated short and long-term changes in the delay of the end of the season (EOS) and its relationship with variability of air temperature and precipitation across the deciduous forests of the Eastern USA from 1989 to 2008.
Journal ArticleDOI
Multiscale modeling of spring phenology across Deciduous Forests in the Eastern United States.
TL;DR: A combination of surface meteorological data, species composition maps, remote sensing, and ground-based observations are used to estimate models that better represent how community-level species composition affects the phenological response of deciduous broadleaf forests to climate forcing at spatial scales that are typically used in ecosystem models.
Journal ArticleDOI
Comprehensive ecosystem model-data synthesis using multiple data sets at two temperate forest free-air CO2 enrichment experiments: Model performance at ambient CO2 concentration
Anthony P. Walker,Anthony P. Walker,Paul J. Hanson,Martin G. De Kauwe,Belinda E. Medlyn,Soenke Zaehle,Shinichi Asao,Michael Dietze,Thomas Hickler,Chris Huntingford,Colleen M. Iversen,Atul K. Jain,Mark R. Lomas,Yiqi Luo,Heather R. McCarthy,William J. Parton,I. Colin Prentice,I. Colin Prentice,Peter E. Thornton,Shusen Wang,Ying-Ping Wang,David Wårlind,Ensheng Weng,Jeffrey M. Warren,F. Ian Woodward,Ram Oren,Ram Oren,Richard J. Norby +27 more
TL;DR: In this article, the authors demonstrate that high goodness-of-fit values do not necessarily indicate a successful model, because simulation accuracy may be achieved through compensating biases in component variables.
References
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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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