Land Change Science and the STEPLand Framework : An Assessment of Its Progress
Serra Ruiz, Pere (Universitat Autònoma de Barcelona. Departament de Geografia)
Salvati, Luca (Università degli studi di Roma "La Sapienza")

Fecha:	2022
Resumen:	This contribution assesses a new term that is proposed to be established within Land Change Science: Spatio-TEmporal Patterns of Land ('STEPLand'). It refers to a specific workflow for analyzing land-use/land cover (LUC) patterns, identifying and modeling driving forces of LUC changes, assessing socio-environmental consequences, and contributing to defining future scenarios of land transformations. In this article, we define this framework based on a comprehensive meta-analysis of 250 selected articles published in international scientific journals from 2000 to 2019. The empirical results demonstrate that STEPLand is a consolidated protocol applied globally, and the large diversity of journals, disciplines, and countries involved shows that it is becoming ubiquitous. In this paper, the main characteristics of STEPLand are provided and discussed, demonstrating that the operational procedure can facilitate the interaction among researchers from different fields, and communication between researchers and policy makers.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	In-deep reading analysis ; LUCC patterns ; Spatial modeling of driving forces ; Socio-environmental consequences ; Future scenarios
Publicado en:	Land, Vol. 11, Issue 7 (July 2022) , art. 1065, ISSN 2073-445X

DOI: 10.3390/land11071065

38 p, 3.8 MB

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Documentos de investigación > Documentos de los grupos de investigación de la UAB > Centros y grupos de investigación (producción científica) > Ciencias > Methods and Applications in Remote Sensing and Geographic Information Systems Research Group (GRUMETS)
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