Ecophysiological variation of transpiration of pine forests: synthesis of new and published results Article Swipe
Pantana Tor‐ngern
,
Ram Oren
,
A. Christopher Oishi
,
Joshua Uebelherr
,
Sari Palmroth
,
Lasse Tarvainen
,
Mikaell Ottosson‐Löfvenius
,
Sune Linder
,
Jean‐Christophe Domec
,
Torgny Näsholm
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1002/eap.1423
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1002/eap.1423
Canopy transpiration ( E C ) is a large fraction of evapotranspiration, integrating physical and biological processes within the energy, water, and carbon cycles of forests. Quantifying E C is of both scientific and practical importance, providing information relevant to questions ranging from energy partitioning to ecosystem services, such as primary productivity and water yield. We estimated E C of four pine stands differing in age and growing on sandy soils. The stands consisted of two wide‐ranging conifer species: Pinus taeda and Pinus sylvestris , in temperate and boreal zones, respectively. Combining results from these and published studies on all soil types, we derived an approach to estimate daily E C of pine forests, representing a wide range of conditions from 35° S to 64° N latitude. During the growing season and under moist soils, maximum daily E C ( E Cm ) at day‐length normalized vapor pressure deficit of 1 kPa ( E Cm‐ref ) increased by 0.55 ± 0.02 (mean ± SE) mm/d for each unit increase of leaf area index ( L ) up to L = ~5, showing no sign of saturation within this range of quickly rising mutual shading. The initial rise of E Cm with atmospheric demand was linearly related to E Cm‐ref . Both relations were unaffected by soil type. Consistent with theoretical prediction, daily E C was sensitive to decreasing soil moisture at an earlier point of relative extractable water in loamy than sandy soils. Our finding facilitates the estimation of daily E C of wide‐ranging pine forests using remotely sensed L and meteorological data. We advocate an assembly of worldwide sap flux database for further evaluation of this approach.
Related Topics
Concepts
Evapotranspiration
Soil water
Environmental science
Transpiration
Vapour Pressure Deficit
Taiga
Growing season
Temperate rainforest
Canopy
Evergreen
Temperate climate
Water content
Atmospheric sciences
Ecology
Ecosystem
Soil science
Botany
Biology
Photosynthesis
Geology
Engineering
Geotechnical engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/eap.1423
- OA Status
- green
- Cited By
- 60
- References
- 105
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2515067423
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2515067423Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/eap.1423Digital Object Identifier
- Title
-
Ecophysiological variation of transpiration of pine forests: synthesis of new and published resultsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-08-27Full publication date if available
- Authors
-
Pantana Tor‐ngern, Ram Oren, A. Christopher Oishi, Joshua Uebelherr, Sari Palmroth, Lasse Tarvainen, Mikaell Ottosson‐Löfvenius, Sune Linder, Jean‐Christophe Domec, Torgny NäsholmList of authors in order
- Landing page
-
https://doi.org/10.1002/eap.1423Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.osti.gov/biblio/1533155Direct OA link when available
- Concepts
-
Evapotranspiration, Soil water, Environmental science, Transpiration, Vapour Pressure Deficit, Taiga, Growing season, Temperate rainforest, Canopy, Evergreen, Temperate climate, Water content, Atmospheric sciences, Ecology, Ecosystem, Soil science, Botany, Biology, Photosynthesis, Geology, Engineering, Geotechnical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
60Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 4, 2023: 4, 2022: 7, 2021: 12Per-year citation counts (last 5 years)
- References (count)
-
105Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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