Modeling leaf maximum net photosynthetic rate of Festuca pallescens, the dominant perennial grass of Patagonian pine-based silvopastoral systems

The integrated relationship in a simple mechanistic model between the critical environmental factors controlling leaf photosynthesis of understory species would be a useful tool to optimize the management of the silvopastoral systems. Individual effect of leaf temperature, water stress and light environment over net maximum photosynthetic rate (Pmax) was evaluated on Festuca pallescens leaves grown in a silvopastoral system of two Pinus ponderosa canopy covers (350 and 500 trees ha−1) and natural grassland. The aim was to integrate individual functions for Pmax against these environmental factors into a multiplicative model. We measured pre-dawn water potential (ψpd), leaf temperature and net photosynthetic rate (Pn), stomatal conductance (gs) and intercellular CO2 concentration (Ci) as a function of photosynthetic photon flux density (PPFD). The highest Pmax under non-limiting conditions was 20.4 μmol CO2 m−2 s−1 and was defined as standardized dimensionless Pmaxs = 1 for comparison of environmental factors. The leaf temperature function showed an optimum range between 20.2 and 21.8°C where Pmaxs = 1. Then, Pmaxs declined by an average 1 μmol CO2 m−2 s−1 C−1 from the optimum to 4.7 and 38.5°C. Pmaxs decreased at a rate of 9.49 μmol CO2 m−2 s−1 MPa−1 as water potential reaches −1.9 MPa and showed a lower slope as water potential decreased down to −4.3 MPa. The light environment was estimated from hemispherical photograph analysis. Pmaxs was 20% higher in leaves of open control plants than under the maximum tree canopy cover. The simple multiplicative model accounted for 0.82 of the variation in Pmax. Such a simple mechanistic model is the first step towards a more effective decision support tool.

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Main Authors: Caballe, Gonzalo, Fernandez, Marí­a Elena, Gyenge, Javier, Aparicio, Alejandro Gabriel, Schlichter, Tomas Miguel
Format: info:ar-repo/semantics/artículo biblioteca
Language:eng
Published: 2011-09
Subjects:Pinus Ponderosa, Arboles Forestales, Forest Trees, Silvopastoral Systems, Festuca, Sistemas Silvopascícolas, Festuca Pallescens, Región Patagónica,
Online Access:http://hdl.handle.net/20.500.12123/1567
https://link.springer.com/article/10.1007%2Fs10457-011-9382-7
https://doi.org/10.1007/s10457-011-9382-7
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spelling oai:localhost:20.500.12123-15672021-03-09T15:50:43Z Modeling leaf maximum net photosynthetic rate of Festuca pallescens, the dominant perennial grass of Patagonian pine-based silvopastoral systems Caballe, Gonzalo Fernandez, Marí­a Elena Gyenge, Javier Aparicio, Alejandro Gabriel Schlichter, Tomas Miguel Pinus Ponderosa Arboles Forestales Forest Trees Silvopastoral Systems Festuca Sistemas Silvopascícolas Festuca Pallescens Región Patagónica The integrated relationship in a simple mechanistic model between the critical environmental factors controlling leaf photosynthesis of understory species would be a useful tool to optimize the management of the silvopastoral systems. Individual effect of leaf temperature, water stress and light environment over net maximum photosynthetic rate (Pmax) was evaluated on Festuca pallescens leaves grown in a silvopastoral system of two Pinus ponderosa canopy covers (350 and 500 trees ha−1) and natural grassland. The aim was to integrate individual functions for Pmax against these environmental factors into a multiplicative model. We measured pre-dawn water potential (ψpd), leaf temperature and net photosynthetic rate (Pn), stomatal conductance (gs) and intercellular CO2 concentration (Ci) as a function of photosynthetic photon flux density (PPFD). The highest Pmax under non-limiting conditions was 20.4 μmol CO2 m−2 s−1 and was defined as standardized dimensionless Pmaxs = 1 for comparison of environmental factors. The leaf temperature function showed an optimum range between 20.2 and 21.8°C where Pmaxs = 1. Then, Pmaxs declined by an average 1 μmol CO2 m−2 s−1 C−1 from the optimum to 4.7 and 38.5°C. Pmaxs decreased at a rate of 9.49 μmol CO2 m−2 s−1 MPa−1 as water potential reaches −1.9 MPa and showed a lower slope as water potential decreased down to −4.3 MPa. The light environment was estimated from hemispherical photograph analysis. Pmaxs was 20% higher in leaves of open control plants than under the maximum tree canopy cover. The simple multiplicative model accounted for 0.82 of the variation in Pmax. Such a simple mechanistic model is the first step towards a more effective decision support tool. Fil: Caballe, Gonzalo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina Fil: Fernandez, Marí­a Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Grupo de Ecología Forestal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Gyenge, Javier Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Grupo de Ecología Forestal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Aparicio, Alejandro Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina Fil: Schlichter, Tomas Miguel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina 2017-10-24T12:22:50Z 2017-10-24T12:22:50Z 2011-09 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/1567 https://link.springer.com/article/10.1007%2Fs10457-011-9382-7 0167-4366 (Print) 1572-9680 (Online) https://doi.org/10.1007/s10457-011-9382-7 eng info:eu-repo/semantics/restrictedAccess application/pdf Agroforestry systems 83 (1) : 13–24. (September 2011)
institution INTA AR
collection DSpace
country Argentina
countrycode AR
component Bibliográfico
access En linea
databasecode dig-inta-ar
tag biblioteca
region America del Sur
libraryname Biblioteca Central del INTA Argentina
language eng
topic Pinus Ponderosa
Arboles Forestales
Forest Trees
Silvopastoral Systems
Festuca
Sistemas Silvopascícolas
Festuca Pallescens
Región Patagónica
Pinus Ponderosa
Arboles Forestales
Forest Trees
Silvopastoral Systems
Festuca
Sistemas Silvopascícolas
Festuca Pallescens
Región Patagónica
spellingShingle Pinus Ponderosa
Arboles Forestales
Forest Trees
Silvopastoral Systems
Festuca
Sistemas Silvopascícolas
Festuca Pallescens
Región Patagónica
Pinus Ponderosa
Arboles Forestales
Forest Trees
Silvopastoral Systems
Festuca
Sistemas Silvopascícolas
Festuca Pallescens
Región Patagónica
Caballe, Gonzalo
Fernandez, Marí­a Elena
Gyenge, Javier
Aparicio, Alejandro Gabriel
Schlichter, Tomas Miguel
Modeling leaf maximum net photosynthetic rate of Festuca pallescens, the dominant perennial grass of Patagonian pine-based silvopastoral systems
description The integrated relationship in a simple mechanistic model between the critical environmental factors controlling leaf photosynthesis of understory species would be a useful tool to optimize the management of the silvopastoral systems. Individual effect of leaf temperature, water stress and light environment over net maximum photosynthetic rate (Pmax) was evaluated on Festuca pallescens leaves grown in a silvopastoral system of two Pinus ponderosa canopy covers (350 and 500 trees ha−1) and natural grassland. The aim was to integrate individual functions for Pmax against these environmental factors into a multiplicative model. We measured pre-dawn water potential (ψpd), leaf temperature and net photosynthetic rate (Pn), stomatal conductance (gs) and intercellular CO2 concentration (Ci) as a function of photosynthetic photon flux density (PPFD). The highest Pmax under non-limiting conditions was 20.4 μmol CO2 m−2 s−1 and was defined as standardized dimensionless Pmaxs = 1 for comparison of environmental factors. The leaf temperature function showed an optimum range between 20.2 and 21.8°C where Pmaxs = 1. Then, Pmaxs declined by an average 1 μmol CO2 m−2 s−1 C−1 from the optimum to 4.7 and 38.5°C. Pmaxs decreased at a rate of 9.49 μmol CO2 m−2 s−1 MPa−1 as water potential reaches −1.9 MPa and showed a lower slope as water potential decreased down to −4.3 MPa. The light environment was estimated from hemispherical photograph analysis. Pmaxs was 20% higher in leaves of open control plants than under the maximum tree canopy cover. The simple multiplicative model accounted for 0.82 of the variation in Pmax. Such a simple mechanistic model is the first step towards a more effective decision support tool.
format info:ar-repo/semantics/artículo
topic_facet Pinus Ponderosa
Arboles Forestales
Forest Trees
Silvopastoral Systems
Festuca
Sistemas Silvopascícolas
Festuca Pallescens
Región Patagónica
author Caballe, Gonzalo
Fernandez, Marí­a Elena
Gyenge, Javier
Aparicio, Alejandro Gabriel
Schlichter, Tomas Miguel
author_facet Caballe, Gonzalo
Fernandez, Marí­a Elena
Gyenge, Javier
Aparicio, Alejandro Gabriel
Schlichter, Tomas Miguel
author_sort Caballe, Gonzalo
title Modeling leaf maximum net photosynthetic rate of Festuca pallescens, the dominant perennial grass of Patagonian pine-based silvopastoral systems
title_short Modeling leaf maximum net photosynthetic rate of Festuca pallescens, the dominant perennial grass of Patagonian pine-based silvopastoral systems
title_full Modeling leaf maximum net photosynthetic rate of Festuca pallescens, the dominant perennial grass of Patagonian pine-based silvopastoral systems
title_fullStr Modeling leaf maximum net photosynthetic rate of Festuca pallescens, the dominant perennial grass of Patagonian pine-based silvopastoral systems
title_full_unstemmed Modeling leaf maximum net photosynthetic rate of Festuca pallescens, the dominant perennial grass of Patagonian pine-based silvopastoral systems
title_sort modeling leaf maximum net photosynthetic rate of festuca pallescens, the dominant perennial grass of patagonian pine-based silvopastoral systems
publishDate 2011-09
url http://hdl.handle.net/20.500.12123/1567
https://link.springer.com/article/10.1007%2Fs10457-011-9382-7
https://doi.org/10.1007/s10457-011-9382-7
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