000161070 001__ 161070
000161070 005__ 20251017144618.0
000161070 0247_ $$2doi$$a10.1038/s41598-025-02932-w
000161070 0248_ $$2sideral$$a144229
000161070 037__ $$aART-2025-144229
000161070 041__ $$aeng
000161070 100__ $$0(orcid)0000-0001-5671-6348$$aUrgilez-Clavijo, Andrea
000161070 245__ $$aUnderstanding local connectivity and complexity in the skeleton of deforestation
000161070 260__ $$c2025
000161070 5060_ $$aAccess copy available to the general public$$fUnrestricted
000161070 5203_ $$aCurrent spatial analyses of deforestation predominantly focus on quantification, often overlooking the geometric and topological configurations that are essential for formulating spatially concrete remedial actions. Skeletons and local connected fractal dimension (LCFD) are established techniques that have been used to summarise geometric features and capture connectivity patterns. The present study analysed deforested areas in the Sumaco Biosphere Reserve at three time points from 1990 to 2018. The skeleton captured 62%, 44%, and 40% of the original deforested patches, respectively, and the complexity of connectivity patterns increased over time. A spatially explicit characterisation of the deforested patches was conducted by combining the LCFD and topological descriptors, which enabled the definition of five prioritisation levels for informed decision-making. In addition, we observed an increase in the complexity of pixel neighbourhood relationships over time. In conclusion, the spatial characterisation of the deforestation skeleton serves to further understand the dynamics of deforestation expansion from the local to the regional scale by highlighting complex connections that are significant for forest protection and mitigation efforts.
000161070 536__ $$9info:eu-repo/grantAgreement/ES/DGA/S51-23R$$9info:eu-repo/grantAgreement/ES/MCIU/PGC2018-093854-B-I00
000161070 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000161070 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000161070 700__ $$aRivas-Tabares, David Andrés
000161070 700__ $$aGobin, Anne
000161070 700__ $$aTarquis Alfonso, Ana María
000161070 700__ $$0(orcid)0000-0003-2615-270X$$aRiva Fernández, Juan de la$$uUniversidad de Zaragoza
000161070 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi.
000161070 773__ $$g15, 1 (2025), 18192 [13 pp.]$$pSci. rep. (Nat. Publ. Group)$$tScientific reports (Nature Publishing Group)$$x2045-2322
000161070 8564_ $$s3806054$$uhttps://zaguan.unizar.es/record/161070/files/texto_completo.pdf$$yVersión publicada
000161070 8564_ $$s2776707$$uhttps://zaguan.unizar.es/record/161070/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000161070 909CO $$ooai:zaguan.unizar.es:161070$$particulos$$pdriver
000161070 951__ $$a2025-10-17-14:20:32
000161070 980__ $$aARTICLE