000086456 001__ 86456 000086456 005__ 20200716101526.0 000086456 0247_ $$2doi$$a10.1002/ldr.3250 000086456 0248_ $$2sideral$$a110697 000086456 037__ $$aART-2019-110697 000086456 041__ $$aeng 000086456 100__ $$0(orcid)0000-0002-3104-0115$$aRosero-Vlasova, O.A. 000086456 245__ $$aSoil organic matter and texture estimation from visible–near infrared–shortwave infrared spectra in areas of land cover changes using correlated component regression 000086456 260__ $$c2019 000086456 5060_ $$aAccess copy available to the general public$$fUnrestricted 000086456 5203_ $$aLand use changes due to natural and human-related factors, which include wildfires and crop abandonment, are among the most important drivers of soil degradation and demand regular monitoring. Proximal soil sensing in visible–near infrared–shortwave infrared spectral regions could offer a solution. However, to become operational, optimal combination of data and technique has to be defined. Thus, the purpose of this study was (a) to predict the soil organic matter (SOM) content and soil texture in areas of wildfire burns and crop abandonment in Aragón Province, Northern Spain, from their laboratory reflectance spectra using novel correlated components regression with a step-down variable selection algorithm (CCR-SD) and (b) to compare the CCR-SD and the partial least squares regression (PLSR) methods. The results obtained by the tested methods were similar. CCR-SD models showed high predictive capacity with coefficients of determination (R2) in the range of 0.80–0.86 and 0.70–0.87 for calibration and validation data sets, respectively, and the highest R2 value was attained in the SOM estimation. Moreover, the CCR-SD models stand out for the superior accuracy–parsimony relationship: the number of predictors varied from 16 (silt models) to 49 (SOM models). On average, the CCR-SD calibrations needed less than a half of the predictors employed in PLSR models. This research confirmed that CCR-SD can be used for monitoring SOM content and texture of soils from visible–near infrared–shortwave infrared spectra in the study area and, probably, in other areas of land use/land cover change and that CCR-SD can create highly parsimonious models that achieve results comparable with the commonly used PLSR method. 000086456 536__ $$9info:eu-repo/grantAgreement/EC/FP7/624974/EU/Afforestation management in Mediterranean mountain areas: Evaluating the environmental consequences/MED-AFFOREST$$9info:eu-repo/grantAgreement/ES/MINECO/RYC-2013-14371$$9info:eu-repo/grantAgreement/ES/UZ-SANTANDER/Ayudas Movilidad Latinoamericanos-2017-2018 000086456 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000086456 590__ $$a3.775$$b2019 000086456 591__ $$aSOIL SCIENCE$$b6 / 38 = 0.158$$c2019$$dQ1$$eT1 000086456 591__ $$aENVIRONMENTAL SCIENCES$$b75 / 265 = 0.283$$c2019$$dQ2$$eT1 000086456 592__ $$a1.331$$b2019 000086456 593__ $$aDevelopment$$c2019$$dQ1 000086456 593__ $$aSoil Science$$c2019$$dQ1 000086456 593__ $$aEnvironmental Science (miscellaneous)$$c2019$$dQ1 000086456 593__ $$aEnvironmental Chemistry$$c2019$$dQ1 000086456 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000086456 700__ $$aVlassova, L. 000086456 700__ $$0(orcid)0000-0003-4831-4060$$aPérez-Cabello, F.$$uUniversidad de Zaragoza 000086456 700__ $$0(orcid)0000-0001-7403-1764$$aMontorio, R.$$uUniversidad de Zaragoza 000086456 700__ $$0(orcid)0000-0002-4651-7828$$aNadal-Romero, E. 000086456 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi. 000086456 773__ $$g30, 5 (2019), 544-560$$pLand degrad. dev.$$tLAND DEGRADATION & DEVELOPMENT$$x1085-3278 000086456 8564_ $$s1926033$$uhttps://zaguan.unizar.es/record/86456/files/texto_completo.pdf$$yPostprint 000086456 8564_ $$s254199$$uhttps://zaguan.unizar.es/record/86456/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000086456 909CO $$ooai:zaguan.unizar.es:86456$$particulos$$pdriver 000086456 951__ $$a2020-07-16-09:30:39 000086456 980__ $$aARTICLE