000120971 001__ 120971
000120971 005__ 20240319081014.0
000120971 0247_ $$2doi$$a10.1016/j.landurbplan.2022.104487
000120971 0248_ $$2sideral$$a131457
000120971 037__ $$aART-2022-131457
000120971 041__ $$aeng
000120971 100__ $$aGelabert, P.J.
000120971 245__ $$aSpatially explicit modeling of the probability of land abandonment in the Spanish Pyrenees
000120971 260__ $$c2022
000120971 5060_ $$aAccess copy available to the general public$$fUnrestricted
000120971 5203_ $$aMany mountain regions in Europe have experienced massive migrations towards metropolitan areas, with far-reaching implications for societies and the environment, especially croplands and grasslands. In this work, we tailored a geospatial framework to envisage the probability of land abandonment in the Spanish Pyrenees at moderate spatial resolution. We predicted the likelihood of land abandonment combining machine learning algorithms, geospatial data and historical observations of land abandonment in the period 1980 to 2019. The model attained a high predictive performance (AUC = 0.85) at a moderate resolution (30 m), providing insights into the spatial behavior of the potential for both abandonment and its main driving forces. The highest rates of abandonment were found in rural settlements and towns in bottom valleys where tourism and recreational activities have proliferated over the years. Fast and comfortable connections between the main metropolitan areas (e.g. Barcelona and Zaragoza) and the mountain regions foster touristic activity and lead to the creation of new settlements. Ecotourism and mountain sports promote land abandonment as evidenced by the high probability predicted over the Central Pyrenees (from Pallars Jussà to Alto Gállego counties). Our results provide spatially explicit probability and uncertainty outputs, providing insights into site-specific abandonment potential and the influence of its drivers. These results can substantially assist land planners in decision-making, enabling assessments at local scale.
000120971 536__ $$9info:eu-repo/grantAgreement/ES/FECYT/IMAGINE CGL2016-80400-R
000120971 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000120971 590__ $$a9.1$$b2022
000120971 592__ $$a2.065$$b2022
000120971 591__ $$aECOLOGY$$b7 / 171 = 0.041$$c2022$$dQ1$$eT1
000120971 593__ $$aEcology$$c2022$$dQ1
000120971 591__ $$aENVIRONMENTAL STUDIES$$b11 / 128 = 0.086$$c2022$$dQ1$$eT1
000120971 593__ $$aUrban Studies$$c2022$$dQ1
000120971 591__ $$aREGIONAL & URBAN PLANNING$$b3 / 40 = 0.075$$c2022$$dQ1$$eT1
000120971 593__ $$aNature and Landscape Conservation$$c2022$$dQ1
000120971 591__ $$aURBAN STUDIES$$b1 / 43 = 0.023$$c2022$$dQ1$$eT1
000120971 593__ $$aManagement, Monitoring, Policy and Law$$c2022$$dQ1
000120971 591__ $$aGEOGRAPHY, PHYSICAL$$b2 / 49 = 0.041$$c2022$$dQ1$$eT1
000120971 591__ $$aGEOGRAPHY$$b2 / 86 = 0.023$$c2022$$dQ1$$eT1
000120971 594__ $$a14.4$$b2022
000120971 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000120971 700__ $$0(orcid)0000-0002-0477-0796$$aRodrigues, M.$$uUniversidad de Zaragoza
000120971 700__ $$aVidal-Macua, J.J.
000120971 700__ $$aAmeztegui, A.
000120971 700__ $$aVega-Garcia, C.
000120971 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi.
000120971 773__ $$g226 (2022), 104487 [11 pp.]$$pLandsc. urban plan.$$tLANDSCAPE AND URBAN PLANNING$$x0169-2046
000120971 8564_ $$s11596900$$uhttps://zaguan.unizar.es/record/120971/files/texto_completo.pdf$$yVersión publicada
000120971 8564_ $$s2321564$$uhttps://zaguan.unizar.es/record/120971/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000120971 909CO $$ooai:zaguan.unizar.es:120971$$particulos$$pdriver
000120971 951__ $$a2024-03-18-15:28:39
000120971 980__ $$aARTICLE