New approaches to study the relationship between stomatal conductance and environmental factors under Mediterranean climatic conditions

TitleNew approaches to study the relationship between stomatal conductance and environmental factors under Mediterranean climatic conditions
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2007
AuthorsVitale, M., Anselmi S., Salvatori E., and Manes F.
JournalAtmospheric Environment
Volume41
Pagination5385-5397
Keywordsarticle, climate, Climate change, climate conditions, drought stress, environmental factor, experimental study, Linear regression, Mediterranean environment, Mediterranean oaks, model, Multivariate analysis, Neural networks, nonhuman, Nonlinear statistical approaches, oak, Ozone, Ozone uptake, Physiological models, plant environment interaction, plant water relation, Plants (botany), Pollution, precipitation, precipitation (climatology), priority journal, Quercus, Southern Europe, statistical analysis, Statistical methods, Stomatal conductance, Strategic planning, summer, Water, water use efficiency
Abstract

The most frequently models used (Ball-Berry and Jarvis-type models) to estimate stomatal conductance (Gs) values have limitations when applied to plants growing in Mediterranean climate. To overcome these limitations, several statistical methodologies (Multiple Linear Regression, Neural Net Analysis (NNA)) were used to build models to predict Gs. However, all these models were unable to integrate the physiological response of plants to the overall limiting environmental parameters in our Mediterranean site especially during the summer drought. With this in mind, it is relevant to find alternative approaches which link Gs response to environmental limitations of plants. In this paper, we demonstrate that: (1) the different linear and nonlinear statistical approaches used significantly affect the weights of the environmental variables which are utilized in semi-empirical Gs models; (2) a tight relationship exists between summer values of Gs and the rate of accumulated precipitations (α) in the first 5 months of the year, thus allowing to predict Gs in a quantitative way; and (3) the latter is also related to different water-use strategies adopted by plants in response to drought stress in the summer period. Because α is easily calculated, it is an interesting parameter for the Gs modelling addressed to understand many important aspects of the plant-environment interactions, such as water relations and pollutant uptake. © 2007 Elsevier Ltd. All rights reserved.

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URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-34447249775&doi=10.1016%2fj.atmosenv.2007.02.014&partnerID=40&md5=cef570c3fa771ba83fc4723a9981fa94
DOI10.1016/j.atmosenv.2007.02.014