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Analysis of institutional authors

Martinez, FsCorresponding AuthorBaez, CggAuthorMonreal, FjcAuthorPeregrina, FAuthor

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October 11, 2020
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Long-range correlations of soil water content time series under tillage and different cover crops in a semi-arid vineyard

Publicated to: EUROPEAN JOURNAL OF SOIL SCIENCE. 72 (2): 623-634 - 2021-03-01 72(2), DOI: 10.1111/ejss.13036

Authors:

Martínez, FS; Báez, CGG; Monreal, FJC; Peregrina, F
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Affiliations

Univ La Rioja, Dept Agr & Food, Logrono 26006, Spain - Author
Univ Politecn Madrid, ETSIAAB, Dept Appl Math, Madrid 28040, Spain - Author

Abstract

We explored the suitability of multifractal detrended fluctuation analysis (MFDFA) to characterize the temporal dynamics of soil water content (SWC), we analysed the origin of the multifractality of time series of the dynamic of SWC and we investigated how this dynamic was affected by different soil treatments and depths, through the characterization of long-range correlations. Temporal data of SWC from conventional tillage and two different cover crops at three different depths in a Mediterranean vineyard were examined. The dataset spanned 18 months in 30-min intervals. We investigated if SWC dynamics, as reflected by long-range dependencies, can be detected and quantified by MFDFA in the form of scaling laws. We analysed the randomly shuffled series associated with temporal data of SWC to investigate if the detected multifractality of the data reflected either a broad density function of the values of the series or different long-range correlations for small and large fluctuations in the dataset. Finally, the impact of treatment and depth on the variation of long-range dependencies was studied. Our results suggest that the time records of soil moisture in a Mediterranean vineyard show a multifractal behaviour compatible with complex patterns of long-range correlations. Moreover, this complex structure is affected by depth, as depicted by the statistically significant variation of the generalized Hurst exponenth(0), which controls the logarithmic mean of the fluctuation of SWC over a period of time. No significant interactions between treatments and depth was found. This suggests that soil properties that influence soil water dynamics at each depth are not affected by cover crop treatments. This could be due to the fact that the experiment lasted less than 2 years and no long-term interactions were present at this time interval. Highlights Multifractal detrended fluctuation analysis (MFDFA) characterizes soil water content dynamics. MFDFA detects the influence of soil depth on long-range correlations. Time series of soil moisture are multifractals compatible with complex patterns of long-range correlations. Long-range dependencies are affected by depth but no interaction has been found between soil treatment and depth.
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Keywords

BasinBehaviorCarbonDetrended fluctuation analysisGeneralize hurst exponentsMultifractal analysisMultifractal detrended fluctuation analysisRecordsRiver runoffStratification

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal EUROPEAN JOURNAL OF SOIL SCIENCE due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Soil Science. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-11:

  • WoS: 7
  • Scopus: 8
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-11:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 14.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 14 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/87062/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 152
  • Downloads: 47
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (SAN JOSE MARTINEZ, FERNANDO) and Last Author (PEREGRINA ALONSO, FERNANDO).

the author responsible for correspondence tasks has been SAN JOSE MARTINEZ, FERNANDO.

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Awards linked to the item

INIA-MINECO, Spain, and the European Social Fund, Grant/Award Number: RTA2009-00101-00-00; Spain's Plan Nacional de Investigacion Cientifica, Desarrollo e Innovacion Tecnologica (I+D +i), Grant/Award Number: AGL2015-69697-P
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