Evidence map›Paper›PMID 39789901›Full record

ArticleTree physiology2025

An eco-physiological model of forest photosynthesis and transpiration under combined nitrogen and water limitation.

Peter Fransson, Hyungwoo Lim, Peng Zhao, Pantana Tor-Ngern, Matthias Peichl, Hjalmar Laudon, Nils Henriksson, Torgny Näsholm, Oskar Franklin

Abstract read
In one paragraph

Article in Tree physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Peter FranssonDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd 17, SE-901 83 Umeå, Sweden.ORCID 0009-0007-9860-998X
Hyungwoo LimDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd 17, SE-901 83 Umeå, Sweden.ORCID 0000-0001-9457-7203
Peng ZhaoDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd 17, SE-901 83 Umeå, Sweden.
Pantana Tor-NgernDepartment of Environmental Science, Faculty of Science, Chulalongkorn University, 254 Payathai Rd, Wang Mai, Pathumwan, Bangkok 10330, Thailand.
Matthias PeichlDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd 17, SE-901 83 Umeå, Sweden.
Hjalmar LaudonDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd 17, SE-901 83 Umeå, Sweden.
Nils HenrikssonDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd 17, SE-901 83 Umeå, Sweden.
Torgny NäsholmDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd 17, SE-901 83 Umeå, Sweden.
Oskar FranklinDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd 17, SE-901 83 Umeå, Sweden.

Funding

Knut and Alice Wallenberg Foundation 2018.0259National Research Council of Thailand and Chulalongkorn University N42A660392Thailand Research and Innovation Fund Chulalongkorn University
6 · The paper itself

Abstract

Although the separate effects of water and nitrogen (N) limitations on forest growth are well known, the question of how to predict their combined effects remains a challenge for modeling of climate change impacts on forests. Here, we address this challenge by developing a new eco-physiological model that accounts for plasticity in stomatal conductance and leaf N concentration. Based on optimality principle, our model determines stomatal conductance and leaf N concentration by balancing carbon uptake maximization, hydraulic risk and cost of maintaining photosynthetic capacity. We demonstrate the accuracy of the model predictions by comparing them against gross primary production estimates from eddy covariance flux measurements and sap-flow measurement scaled canopy transpiration in a long-term fertilized and an unfertilized Scots pine (Pinus sylvestris L.) forest in northern Sweden. The model also explains the response to N fertilization as a consequence of (i) reduced carbon cost of N uptake and (ii) increased leaf area per hydraulic conductance. The results suggest that leaves optimally coordinate N concentration and stomatal conductance both on short (weekly) time scales in response to weather conditions and on longer time scales in response to soil water and N availabilities.

Indexed as

ForestsModels, BiologicalNitrogenPhotosynthesisPinus sylvestrisPlant TranspirationTreesWaterCarbonPlant LeavesPlant StomataSwedenCarbonNitrogenWaternitrogen uptakeoptimality theoryplant hydraulicsScots pinestomatal model

Identifiers

PMID39789901
PMCPMC11979779

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.