Interplay of seasonal sunlight, air and leaf temperature in two alpine páramo species, Colombian Andes

In models of photosynthetic gas exchange, leaf temperature (Tleaf) is often calculated using a combination of derivations of the energy balance equation and measurements of air temperature (Tair). Yet, there are frequently large differences between Tleaf and Tair under natural field conditions, and...

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Bibliographic Details
Published in:Agricultural and Forest Meteorology
Main Authors: Sanchez, Adriana, Rey-Sánchez A.C., Posada, Juan M., Smith W.K.
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier B.V. 2018
Subjects:
Air temperature
Alpine environment
Bamboo
Climate change
Climate modeling
Energy balance
Leaf
Numerical model
Seasonality
Shrub
Solar radiation
Tropical region
Tundra
Andes
Colombia
Chusquea tessellata
Espeletia
Sunlight
Tropical alpine
Online Access:https://repository.urosario.edu.co/handle/10336/23874
https://doi.org/10.1016/j.agrformet.2018.01.033
Description
Summary:In models of photosynthetic gas exchange, leaf temperature (Tleaf) is often calculated using a combination of derivations of the energy balance equation and measurements of air temperature (Tair). Yet, there are frequently large differences between Tleaf and Tair under natural field conditions, and an energy balance is complicated in complex canopies, especially in tropical ecosystems. In the present study, we aimed to quantify the variation in Tleaf relative to Tair under naturally varying PPFD values in two representative species (Espeletia grandiflora and Chusquea tessellata) of a tropical alpine ecosystem (páramo, Colombian Andes) during both wet and dry seasons. The results of a Structural Equation Model showed that Tleaf was strongly correlated with changes in Tair during both seasons, but large differences (up to 14 °C) occurred between Tair and Tleaf, during the dry season when PPFD varied the most, especially in C. tessellata. Thus, using Tair to proximate Tleaf under variable conditions of incident sunlight could generate substantial errors in estimates of temperature-sensitive physiological processes. These results should be valuable for evaluating the accuracy of carbon and water exchange models within current and future scenarios of climate change in tropical páramos, as well as other ecosystems. © 2018 Elsevier B.V.

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