000112126 001__ 112126
000112126 005__ 20240319081001.0
000112126 0247_ $$2doi$$a10.3390/rs14071708
000112126 0248_ $$2sideral$$a127983
000112126 037__ $$aART-2022-127983
000112126 041__ $$aeng
000112126 100__ $$0(orcid)0000-0002-9123-304X$$aHoffrén, Raúl$$uUniversidad de Zaragoza
000112126 245__ $$aIdentifying the Factors behind Climate Diversification and Refugial Capacity in Mountain Landscapes: The Key Role of Forests
000112126 260__ $$c2022
000112126 5060_ $$aAccess copy available to the general public$$fUnrestricted
000112126 5203_ $$aRecent studies have shown the importance of small-scale climate diversification and climate microrefugia for organisms to escape or suffer less from the impact of current climate change. These situations are common in topographically complex terrains like mountains, where many climate-forcing factors vary at a fine spatial resolution. We investigated this effect in a high roughness area of a southern European range (the Pyrenees), with the aid of a network of miniaturized temperature and relative humidity sensors distributed across 2100 m of elevation difference. We modeled the minimum (Tn) and maximum (Tx) temperatures above- and below-ground, and maximum vapor pressure deficit (VPDmax), as a function of several topographic and vegetation variables derived from ALS-LiDAR data and Landsat series. Microclimatic models had a good fit, working better in soil than in air, and for Tn than for Tx. Topographic variables (including elevation) had a larger effect on above-ground Tn, and vegetation variables on Tx. Forest canopy had a significant effect not only on the spatial diversity of microclimatic metrics but also on their refugial capacity, either stabilizing thermal ranges or offsetting free-air extreme temperatures and VPDmax. Our integrative approach provided an overview of microclimatic differences between air and soil, forests and open areas, and highlighted the importance of preserving and managing forests to mitigate the impacts of climate change on biodiversity. Remote-sensing can provide essential tools to detect areas that accumulate different factors extensively promoting refugial capacity, which should be prioritized based on their high resilience.
000112126 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000112126 590__ $$a5.0$$b2022
000112126 592__ $$a1.136$$b2022
000112126 591__ $$aGEOSCIENCES, MULTIDISCIPLINARY$$b31 / 202 = 0.153$$c2022$$dQ1$$eT1
000112126 593__ $$aEarth and Planetary Sciences (miscellaneous)$$c2022$$dQ1
000112126 591__ $$aIMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY$$b8 / 28 = 0.286$$c2022$$dQ2$$eT1
000112126 591__ $$aREMOTE SENSING$$b12 / 34 = 0.353$$c2022$$dQ2$$eT2
000112126 591__ $$aENVIRONMENTAL SCIENCES$$b78 / 275 = 0.284$$c2022$$dQ2$$eT1
000112126 594__ $$a7.9$$b2022
000112126 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000112126 700__ $$aMiranda, Héctor
000112126 700__ $$aPizarro, Manuel
000112126 700__ $$aTejero, Pablo
000112126 700__ $$aGarcía, María B.
000112126 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi.
000112126 773__ $$g14, 7 (2022), 1708 [23 p.]$$pRemote sens. (Basel)$$tRemote Sensing$$x2072-4292
000112126 8564_ $$s6696018$$uhttps://zaguan.unizar.es/record/112126/files/texto_completo.pdf$$yVersión publicada
000112126 8564_ $$s2806851$$uhttps://zaguan.unizar.es/record/112126/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000112126 909CO $$ooai:zaguan.unizar.es:112126$$particulos$$pdriver
000112126 951__ $$a2024-03-18-14:09:14
000112126 980__ $$aARTICLE