Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 546914
Title Quantifying the effect of forest age in annual net forest carbon balance
Author(s) Besnard, Simon; Carvalhais, Nuno; Arain, M.A.; Black, Andrew; Bruin, Sytze de; Buchmann, Nina; Cescatti, Alessandro; Chen, Jiquan; Clevers, Jan G.P.W.; Desai, Ankur R.; Gough, Christopher M.; Havrankova, Katerina; Herold, Martin; Hörtnagl, Lukas; Jung, Martin; Knohl, Alexander; Kruijt, Bart; Krupkova, Lenka; Law, Beverly E.; Lindroth, Anders; Noormets, Asko; Roupsard, Olivier; Steinbrecher, Rainer; Varlagin, Andrej; Vincke, Caroline; Reichstein, Markus
Source Environmental Research Letters 13 (2018)12. - ISSN 1748-9326
Department(s) Laboratory of Geo-information Science and Remote Sensing
Water Systems and Global Change
Publication type Refereed Article in a scientific journal
Publication year 2018
Abstract Forests dominate carbon (C) exchanges between the terrestrial biosphere and the atmosphere on land. In the long term, the net carbon flux between forests and the atmosphere has been significantly impacted by changes in forest cover area and structure due to ecological disturbances and management activities. Current empirical approaches for estimating net ecosystem productivity (NEP) rarely consider forest age as a predictor, which represents variation in physiological processes that can respond differently to environmental drivers, and regrowth following disturbance. Here, we conduct an observational synthesis to empirically determine to what extent climate, soil properties, nitrogen deposition, forest age and management influence the spatial and interannual variability of forest NEP across 126 forest eddy-covariance flux sites worldwide. The empirical models explained up to 62% and 71% of spatio-temporal and across-site variability of annual NEP, respectively. An investigation of model structures revealed that forest age was a dominant factor of NEP spatio-temporal variability in both space and time at the global scale as compared to abiotic factors, such as nutrient availability, soil characteristics and climate. These findings emphasize the importance of forest age in quantifying spatio-temporal variation in NEP using empirical approaches.
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