DaouShipley2019

Référence

Daou, L. and Shipley, B. (2019) The measurement and quantification of generalized gradients of soil fertility relevant to plant community ecology. Ecology, 100(1). (Scopus )

Résumé

We propose an operational definition of soil “fertility” that is applicable to plant community ecology and develop a method of measuring and quantifying it, using structural equations modeling, that is generalizable to soils in different regions whose fertility has different causes. To do this, we used structural equation modeling (SEM). The measurement submodel predicts the latent “generalized fertility,” FG, of a soil using four indicator variables: the relative growth rates of Festuca rubra, Trifolium pratense, Triticum aestivum, and Arabidopsis thaliana. The direct causes of FG in this study were the supply rates of NO3 −, P, and K as well as three indirect causes consisting of three physical soil properties, but these can change between studies. The model was calibrated using 76 grassland soils from southern Quebec, Canada and independently tested using aboveground net primary productivity (NPP) of the natural vegetation over two growing seasons. Both the measurement submodel and the full SEM fit the data well. The FG values predicted 51% of the variance in NPP and were a better predictor than any other single variable, including the actual nutrient flux rates. Furthermore, this model can be applied to grassland soils anywhere because of its modular nature in which the causes and effects of soil fertility are clearly separated. © 2018 by the Ecological Society of America

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@ARTICLE { DaouShipley2019,
    AUTHOR = { Daou, L. and Shipley, B. },
    TITLE = { The measurement and quantification of generalized gradients of soil fertility relevant to plant community ecology },
    JOURNAL = { Ecology },
    YEAR = { 2019 },
    VOLUME = { 100 },
    NUMBER = { 1 },
    NOTE = { cited By 0 },
    ABSTRACT = { We propose an operational definition of soil “fertility” that is applicable to plant community ecology and develop a method of measuring and quantifying it, using structural equations modeling, that is generalizable to soils in different regions whose fertility has different causes. To do this, we used structural equation modeling (SEM). The measurement submodel predicts the latent “generalized fertility,” FG, of a soil using four indicator variables: the relative growth rates of Festuca rubra, Trifolium pratense, Triticum aestivum, and Arabidopsis thaliana. The direct causes of FG in this study were the supply rates of NO3 −, P, and K as well as three indirect causes consisting of three physical soil properties, but these can change between studies. The model was calibrated using 76 grassland soils from southern Quebec, Canada and independently tested using aboveground net primary productivity (NPP) of the natural vegetation over two growing seasons. Both the measurement submodel and the full SEM fit the data well. The FG values predicted 51% of the variance in NPP and were a better predictor than any other single variable, including the actual nutrient flux rates. Furthermore, this model can be applied to grassland soils anywhere because of its modular nature in which the causes and effects of soil fertility are clearly separated. © 2018 by the Ecological Society of America },
    AFFILIATION = { Département de biologie, Laboratoire d’Écologie Fonctionnelle, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada },
    ART_NUMBER = { e02549 },
    AUTHOR_KEYWORDS = { grasslands; latent variable measurement model; net primary production; plant communities; relative growth rate; soil fertility gradient; structural equations modeling },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1002/ecy.2549 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059359772&doi=10.1002%2fecy.2549&partnerID=40&md5=91bff637981c02218df89ecee904e0f0 },
}

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