Mikko Peltoniemi
University of Helsinki
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Featured researches published by Mikko Peltoniemi.
Tree Physiology | 2012
Mikko Peltoniemi; Minna Pulkkinen; Pasi Kolari; Remko A. Duursma; Leonardo Montagnani; Sonia Wharton; Fredrik Lagergren; Kentaro Takagi; Hans Verbeeck; Torben R. Christensen; Timo Vesala; Matthias Falk; Denis Loustau; Annikki Mäkelä
The maximum light use efficiency (LUE = gross primary production (GPP)/absorbed photosynthetic photon flux density (aPPFD)) of plant canopies has been reported to vary spatially and some of this variation has previously been attributed to plant species differences. The canopy nitrogen concentration [N] can potentially explain some of this spatial variation. However, the current paradigm of the N-effect on photosynthesis is largely based on the relationship between photosynthetic capacity (A(max)) and [N], i.e., the effects of [N] on photosynthesis rates appear under high PPFD. A maximum LUE-[N] relationship, if it existed, would influence photosynthesis in the whole range of PPFD. We estimated maximum LUE for 14 eddy-covariance forest sites, examined its [N] dependency and investigated how the [N]-maximum LUE dependency could be incorporated into a GPP model. In the model, maximum LUE corresponds to LUE under optimal environmental conditions before light saturation takes place (the slope of GPP vs. PPFD under low PPFD). Maximum LUE was higher in deciduous/mixed than in coniferous sites, and correlated significantly with canopy mean [N]. Correlations between maximum LUE and canopy [N] existed regardless of daily PPFD, although we expected the correlation to disappear under low PPFD when LUE was also highest. Despite these correlations, including [N] in the model of GPP only marginally decreased the root mean squared error. Our results suggest that maximum LUE correlates linearly with canopy [N], but that a larger body of data is required before we can include this relationship into a GPP model. Gross primary production will therefore positively correlate with [N] already at low PPFD, and not only at high PPFD as is suggested by the prevailing paradigm of leaf-level A(max)-[N] relationships. This finding has consequences for modelling GPP driven by temporal changes or spatial variation in canopy [N].
Tree Physiology | 2012
Mikko Peltoniemi; Remko A. Duursma; Belinda E. Medlyn
Archive | 2015
Mikko Peltoniemi; Minna Pulkkinen; Mika Aurela; Jukka Pumpanen; Pasi Kolari; Annikki Mäkelä
Geoscientific Instrumentation, Methods and Data Systems | 2016
Maiju Linkosalmi; Mika Aurela; Juha-Pekka Tuovinen; Mikko Peltoniemi; Cemal Melih Tanis; Ali Nadir Arslan; Pasi Kolari; Kristin Böttcher; Tuula Aalto; Juuso Rainne; Juha Hatakka; Tuomas Laurila
Geosciences | 2017
Ali Nadir Arslan; Cemal Melih Tanis; Sari Metsämäki; Mika Aurela; Kristin Böttcher; Maiju Linkosalmi; Mikko Peltoniemi
Geoscientific Instrumentation, Methods and Data Systems Discussions | 2016
Maiju Linkosalmi; Mika Aurela; Juha-Pekka Tuovinen; Mikko Peltoniemi; Cemal Melih Tanis; Ali Nadir Arslan; Pasi Kolari; Tuula Aalto; Juuso Rainne; Tuomas Laurila
Earth System Science Data | 2017
Mikko Peltoniemi; Mika Aurela; Kristin Böttcher; Pasi Kolari; John Loehr; Jouni Karhu; Maiju Linkosalmi; Cemal Melih Tanis; Juha-Pekka Tuovinen; Ali Nadir Arslan
Dissertationes Forestales | 2007
Mikko Peltoniemi
Proceedings of the 5th European Congress of Conservation Biology | 2018
Mikko Peltoniemi; Tiina Markkanen; Francesco Minunno; Tuula Aalto; Jarmo Mäkelä; Tuomo Kalliokoski; Annikki Mäkelä
Proceedings of the 5th European Congress of Conservation Biology | 2018
Annikki Mäkelä; Francesco Minunno; Mikko Peltoniemi