Measurement of patterns of soil organic matter in the Mediterranean Montado ecosystem using NIRS

dc.contributor.authorSerrano, J.
dc.contributor.authorShahidian, S.
dc.contributor.authorMarques da Silva, J.
dc.contributor.authorCarvalho, M.
dc.contributor.authorRato, A.E.
dc.date.accessioned2020-12-03T15:28:54Z
dc.date.available2020-12-03T15:28:54Z
dc.date.issued2020-12-01
dc.description.abstractFrom an environmental point of view, animal production is typically recognized as a major contributor to global greenhouse gas emissions. Nevertheless, it is important to add to this equation the positive impact of the Mediterranean Montado ecosystem on the soil, due to the potential for carbon sequestration through an increase in the soil organic matter content (SOM) resulting from the contribution of trees, pasture and grazing animals. This strategy has recognized interest in mitigating and adapting to climate change. However, monitoring SOM to determine carbon sequestration is time-consuming and expensive, as it requires soil sampling with consecutive laboratory analysis. The concept of precision agriculture (PA) can contribute decisively to resolve this situation. In this work, a combination of near infrared spectroscopy (NIRS) technology and multivariate data analysis (PLS regression) was used to estimate and monitor the evolution of SOM in 8 experimental fields in Portugal. Calibration and validation equations were established between SOM predicted and laboratory reference measurements. The determination coefficients (R2 > 0.80), the RMSE for prediction (RMSE < 0.1%) and the residual prediction deviations (RPD > 2.0) demonstrated the use of NIR combined with PLS regression models for efficient estimation of SOM. This results show the practical interest of portable spectrometry, associated with GPS, as expeditious tools for monitoring spatial variability of SOM and, consequently, of soil fertility. Good prospects and opportunities open up for technology-based service providers to develop remote sensing-based computer applications using satellite imagery that enable (i) dynamic management of animal grazing and (ii) definition of homogeneous management zones for the development of site-specific soil fertilization/amendment, particularly important because the vast majority of soils that support the Montado ecosystem in Portugal are poor and acidic.por
dc.identifier.authoremailjmrs@uevora.pt
dc.identifier.authoremailshakib@uevora.pt
dc.identifier.authoremailjmsilva@uevora.pt
dc.identifier.authoremailmjc@uevora.pt
dc.identifier.authoremailaerato@uevora.pt
dc.identifier.citationSerrano, J.; Shahidian, S.; Marques da Silva, J.; Carvalho, M.; Rato, A.E. (2020). Measurement of patterns of soil organic matter in the Mediterranean Montado ecosystem using NIRS. Oral Presentation (Theatre Session 10- “Sustainable land use for healthy humans and healthy planet”. Book of Abstract, EAAP- 71st Annual Meeting- Virtual Meeting 2020, 01-04 December 2020, Pg 166.por
dc.identifier.scientificarea580por
dc.identifier.sharewithERUpor
dc.identifier.urihttp://hdl.handle.net/10174/28481
dc.identifier.withinvitedoralpresentationnaopor
dc.identifier.withoralpresentationsimpor
dc.identifier.withposternaopor
dc.language.isoengpor
dc.publisherEAAPpor
dc.rightsrestrictedAccesspor
dc.subjectsoil organic matterpor
dc.subjectprecision agriculture approachpor
dc.subjectnear-infrared reflectance spectroscopypor
dc.titleMeasurement of patterns of soil organic matter in the Mediterranean Montado ecosystem using NIRSpor
dc.typelecturepor
degois.publication.firstPage166por
degois.publication.lastPage166por
degois.publication.locationBook of Abstractspor
degois.publication.titleEAAP-71st annual meeting- Virtual Meeting 2020por

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