Literature DB >> 18055437

Predicting the decline in daily maximum transpiration rate of two pine stands during drought based on constant minimum leaf water potential and plant hydraulic conductance.

R A Duursma1, P Kolari, M Perämäki, E Nikinmaa, P Hari, S Delzon, D Loustau, H Ilvesniemi, J Pumpanen, A Mäkelä.   

Abstract

The effect of drought on forest water use is often estimated with models, but comprehensive models require many parameters, and simple models may not be sufficiently flexible. Many tree species, Pinus species in particular, have been shown to maintain a constant minimum leaf water potential above the critical threshold for xylem embolism during drought. In such cases, prediction of the relative decline in daily maximum transpiration rate with decreasing soil water content is relatively straightforward. We constructed a soil-plant water flow model assuming constant plant conductance and daily minimum leaf water potential, but variable conductance from soil to root. We tested this model against independent data from two sites: automatic shoot chamber data and sap flow measurements from a boreal Scots pine (Pinus sylvestris L.) stand; and sap flow measurements from a maritime pine (Pinus pinaster Ait.) stand. To focus on soil limitations to water uptake, we expressed daily maximum transpiration rate relative to the rate that would be obtained in wet soil with similar environmental variables. The comparison was successful, although the maritime pine stand showed carry-over effects of the drought that we could not explain. For the boreal Scots pine stand, daily maximum transpiration was best predicted by water content of soil deeper than 5 cm. A sensitivity analysis revealed that model predictions were relatively insensitive to the minimum leaf water potential, which can be accounted for by the importance of soil resistance of drying soil. We conclude that a model with constant plant conductance and minimum leaf water potential can accurately predict the decline in daily maximum transpiration rate during drought for these two pine stands, and that including further detail about plant compartments would add little predictive power, except in predicting recovery from severe drought.

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Year:  2008        PMID: 18055437     DOI: 10.1093/treephys/28.2.265

Source DB:  PubMed          Journal:  Tree Physiol        ISSN: 0829-318X            Impact factor:   4.196


  9 in total

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2.  A model bridging waterlogging, stomatal behavior and water use in trees in drained peatland.

Authors:  Che Liu; Qian Wang; Annikki Mäkelä; Hannu Hökkä; Mikko Peltoniemi; Teemu Hölttä
Journal:  Tree Physiol       Date:  2022-09-08       Impact factor: 4.561

3.  Intercomparison of methods to estimate gross primary production based on CO2 and COS flux measurements.

Authors:  Kukka-Maaria Kohonen; Roderick Dewar; Gianluca Tramontana; Aleksanteri Mauranen; Pasi Kolari; Linda M J Kooijmans; Dario Papale; Timo Vesala; Ivan Mammarella
Journal:  Biogeosciences       Date:  2022-09-01       Impact factor: 5.092

4.  Duration of shoot elongation in Scots pine varies within the crown and between years.

Authors:  Pauliina Schiestl-Aalto; Eero Nikinmaa; Annikki Mäkelä
Journal:  Ann Bot       Date:  2013-08-28       Impact factor: 4.357

5.  Stand competition determines how different tree species will cope with a warming climate.

Authors:  Laura Fernández-de-Uña; Isabel Cañellas; Guillermo Gea-Izquierdo
Journal:  PLoS One       Date:  2015-03-31       Impact factor: 3.240

6.  Balancing the risks of hydraulic failure and carbon starvation: a twig scale analysis in declining Scots pine.

Authors:  Yann Salmon; José M Torres-Ruiz; Rafael Poyatos; Jordi Martinez-Vilalta; Patrick Meir; Hervé Cochard; Maurizio Mencuccini
Journal:  Plant Cell Environ       Date:  2015-06-27       Impact factor: 7.228

7.  Expanding the geography of evapotranspiration: An improved method to quantify land-to-air water fluxes in tropical and subtropical regions.

Authors:  Daniela Jerszurki; Jorge L M Souza; Lucas C R Silva
Journal:  PLoS One       Date:  2017-06-28       Impact factor: 3.240

Review 8.  Role of bioinformatics in establishing microRNAs as modulators of abiotic stress responses: the new revolution.

Authors:  Anita Tripathi; Kavita Goswami; Neeti Sanan-Mishra
Journal:  Front Physiol       Date:  2015-10-26       Impact factor: 4.566

9.  Controls of evapotranspiration and CO2 fluxes from scots pine by surface conductance and abiotic factors.

Authors:  Tianshan Zha; Chunyi Li; Seppo Kellomäki; Heli Peltola; Kai-Yun Wang; Yuqing Zhang
Journal:  PLoS One       Date:  2013-07-24       Impact factor: 3.240

  9 in total

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