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Analysis of institutional authors

Cicuendez, VictorCorresponding AuthorLitago, JavierAuthorSanchez-Giron, VictorAuthorMerino-De-Miguel, SilviaAuthorPalacios-Oruet, AliciaCorresponding Author

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June 9, 2019
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Assessment of soil respiration patterns in an irrigated corn field based on spectral information acquired by field spectroscopy

Publicated to: AGRICULTURE ECOSYSTEMS & ENVIRONMENT. 212 158-167 - 2015-12-20 212(), DOI: 10.1016/j.agee.2015.06.020

Authors:

Cicuéndez, V; Rodríguez-Rastrero, M; Huesca, M; Uribe, C; Schmid, T; Inclán, R; Litago, J; Sánchez-Girón, V; Merino-de-Miguel, S; Palacios-Oruet, A
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Affiliations

Ctr Invest Energet Medioambientales & Tecnol, Madrid, Spain - Author
Hidrobiología. Universidad Politécnica de Madrid - Author
Univ Politecn Madrid, ETSIA ETSIM, Dept Ingn & Gest Forestal Ambiental, E-28040 Madrid, Spain - Author
Univ Politecn Madrid, ETSIA, Dept Econ Agr Estadist & Gest Empresas, E-28040 Madrid, Spain - Author
Univ Politecn Madrid, ETSIA, Dept Ingn Agroforestal, E-28040 Madrid, Spain - Author
Univ Politecn Madrid, ETSIM, Dept Sistemas & Recursos Nat, E-28040 Madrid, Spain - Author
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Abstract

The assessment of soil respiration processes in agroecosystems is essential to understand the C balance and to study the effects of soil respiration on climate change. The use of spectral data through remote sensing techniques constitutes a valuable tool to study ecological processes such as the C cycle dynamics. The objective of this work was to evaluate the potential to assess total (Rs) and autotrophic (Ra) soil respiration through spectral information acquired by field spectroscopy in a row irrigated corn crop (Zea mays L.) throughout the growing period. The relationships between Rs and Ra with leaf area index (LAI), spectral indexes and abiotic factors (soil moisture and soil temperature) were assessed by linear regression models using the adjusted coefficient of determination (R-adj(2)) to measure and compare the proportion of variance explained by the models. Results showed significant differences and a high variability in the relationships between Rs and Ra with spectral indexes within the corn field during the phenological stages and in measurements under the plants and between the rows. Best results were obtained when assessing Ra during vegetative stages. However, during the reproductive stages, spectral indexes were better related to Rs which could be related to the presence of rhizomicrobial respiration linked to vegetation activity. Spectral indexes contain significant functional information, beyond mere structural changes, that could be related to carbon fluxes. However, specific models should be applied for the different phenological stages and there is a need to be cautious when upscaling remote sensing models. The results obtained confirm that in irrigated crop systems remote sensing data can produce relevant information to assess both Rs and Ra through spectral indexes. (C) 2015 Elsevier B.V. All rights reserved.
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Keywords

Abiotic factorsAutotrophic soil respirationBiomassCarbon-dioxideCo2 effluxCornField spectroscopyLeaf-area indexMaizePhenological stagesPhotosynthesis controlsRemote estimationRemote sensingSoil respirationSpatial variabilitySpectral indexesVegetation indexes

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal AGRICULTURE ECOSYSTEMS & ENVIRONMENT due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2015, it was in position 36/150, thus managing to position itself as a Q1 (Primer Cuartil), in the category Ecology.

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 2026-04-27:

  • WoS: 15
  • Scopus: 18
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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 2026-04-27:

  • 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: 40.

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:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/87638/

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: 133
  • Downloads: 1
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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 (CICUENDEZ LOPEZ-OCAÑA, VICTOR) and Last Author (PALACIOS ORUETA, ALICIA).

the authors responsible for correspondence tasks have been CICUENDEZ LOPEZ-OCAÑA, VICTOR and PALACIOS ORUETA, ALICIA.

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Awards linked to the item

This research was conducted in the framework of the Spanish National Projects AGL-2010-17505 and the CGL2009-07031. The authors would like to express their gratitude to the College of Agricultural Engineering of the Technical University of Madrid for allowing them to carry out this research in their experimental fields. They would like to acknowledge all the staff of these fields, especially Roman Zurita. Also they would like to express their gratitude to David Manrique from CIEMAT for his collaboration in taking respiration measurements.
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