03344naa a2200517 a 450000100080000000500110000800800410001902400490006010000150010924501030012426000090022752017540023665300200199065300190201065300330202965300290206265300280209165300150211965300310213465300310216565300270219665300260222365300470224965300300229670000260232670000160235270000150236870000170238370000160240070000290241670000190244570000140246470000140247870000190249270000230251170000200253470000250255470000200257970000260259970000220262570000160264770000170266370000170268070000130269777301160271021438412022-12-22       2022    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.5751/ES-13066-2702272DOI1 aZARBÁ, L.  aMapping and characterizing social-ecological land systems of South America.h[electronic resource]  c2022  aABSTRACT. Humans place !!!!! strong pressure on land and have modified around 75% of Earth?s terrestrial surface. In this context,ecoregions and biomes, merely defined on the basis of their biophysical features, are incomplete characterizations of the territory. Landsystem science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generatedspatially explicit social-ecological land system (SELS) typologies for South America with a hybrid methodology that combined data-driven spatial analysis with a knowledge-based evaluation by an interdisciplinary group of regional specialists. Our approach embraceda holistic consideration of the social-ecological land systems, gathering a dataset of 26 variables spanning across 7 dimensions: physical,biological, land cover, economic, demographic, political, and cultural. We identified 13 SELS nested in 5 larger social-ecological regions(SER). Each SELS was discussed and described by specific groups of specialists. Although 4 environmental and 1 socioeconomicvariable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essentialfor defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematicand operative characterization of South American social-ecological land systems. We propose its use can contribute as a referenceframework for a wide range of applications such as analyzing observations within larger contexts, designing system-specific solutionsfor sustainable development, and structuring hypothesis testing and comparisons across space. Similar efforts could be done elsewherein the world.  aAutomatização  aAutomatization  aClusterização hierárquica  aDados multidisciplinares  aHierarchical clustering  aMapeamento  aMapeamento participatório  aMapeamento socioecológico  aMultidisciplinary data  aParticipatory mapping  aSistema socioecológico da América do Sul  aSocial-ecological mapping1 aPIQUER-RODRÍGUEZ, M.1 aBOILLAT, S.1 aLEVERS, C.1 aGASPARRI, I.1 aAIDE, T. M.1 aÁLVAREZ-BERRÍOS, N. L.1 aANDERSON, L. O1 aARAOZ, E.1 aARIMA, E.1 aBATISTELLA, M.1 aCALDERÓN-LOOR, M.1 aECHEVERRÍA, C.1 aGONZALEZ-ROGLICH, M.1 aJOBBÁGY, E. G.1 aMATHEZ-STIEFEL, S. L.1 aRAMIREZ-REYES, C.1 aPACHECO, A.1 aVALLEJOS, M.1 aYOUNG, K. R.1 aGRAU, R.  tEcology and Society: a Journal of Integrative Science for Resilience and Sustainabilitygv. 27, n. 2, 27, 2022.