000102124 001__ 102124
000102124 005__ 20230519145407.0
000102124 0247_ $$2doi$$a10.3390/rs13040757
000102124 0248_ $$2sideral$$a124353
000102124 037__ $$aART-2021-124353
000102124 041__ $$aeng
000102124 100__ $$aGonzález-Zamora, Á.
000102124 245__ $$aInfluence of soil moisture vs. climatic factors in Pinus Halepensis growth variability in Spain: a study with remote sensing and modeled data
000102124 260__ $$c2021
000102124 5060_ $$aAccess copy available to the general public$$fUnrestricted
000102124 5203_ $$aThe influence of soil water content on Aleppo pine growth variability is analyzed against climatic variables, using satellite and modeled soil moisture databases. The study was made with a dendrochronological series of 22 forest sites in Spain with different environmental conditions. From the results of the correlation analysis, at both daily and monthly scales, it was observed that soil moisture was the variable that correlated the most with tree growth and the one that better identified the critical periods for this growth. The maximum correlation coefficients obtained with the rest of the variables were less than half of that obtained for soil moisture. Multiple linear regression analysis with all combinations of variables indicated that soil moisture was the most important var-iable, showing the lowest p-values in all cases. While identifying the role of soil moisture, it was noted that there was appreciable variability between the sites, and that this variability is mainly modulated by water availability, rather than thermal conditions. These results can contribute to new insights into the ecohydrological dynamics of Aleppo pine and a methodological approach to the study of many other species.
000102124 536__ $$9info:eu-repo/grantAgreement/ES/AEI/ESP2017-89463-C3-3-R
000102124 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000102124 590__ $$a5.349$$b2021
000102124 592__ $$a1.283$$b2021
000102124 594__ $$a7.4$$b2021
000102124 591__ $$aGEOSCIENCES, MULTIDISCIPLINARY$$b30 / 203 = 0.148$$c2021$$dQ1$$eT1
000102124 593__ $$aEarth and Planetary Sciences (miscellaneous)$$c2021$$dQ1
000102124 591__ $$aIMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY$$b6 / 28 = 0.214$$c2021$$dQ1$$eT1
000102124 591__ $$aREMOTE SENSING$$b11 / 34 = 0.324$$c2021$$dQ2$$eT1
000102124 591__ $$aENVIRONMENTAL SCIENCES$$b83 / 279 = 0.297$$c2021$$dQ2$$eT1
000102124 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000102124 700__ $$aAlmendra-Martín, L.
000102124 700__ $$0(orcid)0000-0002-7585-3636$$aLuis, M. de$$uUniversidad de Zaragoza
000102124 700__ $$aMartínez-Fernández, J.
000102124 7102_ $$13006$$2430$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Geografía Física
000102124 773__ $$g13, 4 (2021), 757 [20 pp.]$$pRemote sens. (Basel)$$tRemote Sensing$$x2072-4292
000102124 8564_ $$s2220554$$uhttps://zaguan.unizar.es/record/102124/files/texto_completo.pdf$$yVersión publicada
000102124 8564_ $$s2751075$$uhttps://zaguan.unizar.es/record/102124/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000102124 909CO $$ooai:zaguan.unizar.es:102124$$particulos$$pdriver
000102124 951__ $$a2023-05-18-13:49:07
000102124 980__ $$aARTICLE