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Featured researches published by Mikko Peltoniemi.


Tree Physiology | 2012

Does canopy mean nitrogen concentration explain variation in canopy light use efficiency across 14 contrasting forest sites

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

Co-optimal distribution of leaf nitrogen and hydraulic conductance in plant canopies

Mikko Peltoniemi; Remko A. Duursma; Belinda E. Medlyn


Archive | 2015

A semi-empirical model of boreal-forest gross primary production, evapotranspiration, and soil water — calibration and sensitivity analysis

Mikko Peltoniemi; Minna Pulkkinen; Mika Aurela; Jukka Pumpanen; Pasi Kolari; Annikki Mäkelä


Geoscientific Instrumentation, Methods and Data Systems | 2016

Digital photography for assessing the link between vegetation phenology and CO2 exchange in two contrasting northern ecosystems

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

Automated Webcam Monitoring of Fractional Snow Cover in Northern Boreal Conditions

Ali Nadir Arslan; Cemal Melih Tanis; Sari Metsämäki; Mika Aurela; Kristin Böttcher; Maiju Linkosalmi; Mikko Peltoniemi


Geoscientific Instrumentation, Methods and Data Systems Discussions | 2016

Digital photography for assessing vegetation phenology in two contrasting northern ecosystems

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

Webcam network and image database for studies of phenological changes of vegetation and snow cover in Finland, image time series from 2014 to 2016

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

Country-scale carbon accounting of the vegetation and mineral soils of Finland

Mikko Peltoniemi


Proceedings of the 5th European Congress of Conservation Biology | 2018

Net carbon balance of Finnish forests under climate change - Forest management induced differences between local and global model estimates

Mikko Peltoniemi; Tiina Markkanen; Francesco Minunno; Tuula Aalto; Jarmo Mäkelä; Tuomo Kalliokoski; Annikki Mäkelä


Proceedings of the 5th European Congress of Conservation Biology | 2018

The role of old growth forests in carbon sequestration – do we know enough for scenario modelling?

Annikki Mäkelä; Francesco Minunno; Mikko Peltoniemi

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Pasi Kolari

University of Helsinki

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Mika Aurela

Finnish Meteorological Institute

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Cemal Melih Tanis

Finnish Meteorological Institute

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Kristin Böttcher

Finnish Environment Institute

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Maiju Linkosalmi

Finnish Meteorological Institute

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Juha-Pekka Tuovinen

Finnish Meteorological Institute

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