Land-use and land-cover change processes in the Upper Uruguay Basin: linking environmental and socioeconomic variables

Land-use and land-cover change affects both ecological and socioeconomic processes, motivating the integration of environmental and socioeconomic data to help understand this change. In this study, we propose a method for the characterisation and spatial analysis of land use and cover change in the...

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Published in:	Landscape ecology Vol. 28; no. 2; pp. 311 - 327
Main Authors:	de Freitas, Marcos Wellausen Dias, Santos, João Roberto dos, Alves, Diógenes Salas
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01-02-2013 Springer Springer Nature B.V
Subjects:	Animal, plant and microbial ecology Applied ecology Biological and medical sciences Biomedical and Life Sciences Ecology Environmental Management Freshwater Fundamental and applied biological sciences. Psychology General aspects Land use Landsat Landscape Landscape Ecology Landscape/Regional and Urban Planning Life Sciences Nature Conservation Remote sensing Research Article River basins Silviculture Socioeconomic factors Socioeconomics Spatial analysis Sustainable Development Urbanization South America Uruguay America Argentina, Uruguay R. basin Spatial clustering Nature and society Landscape structure Canonical correspondence analysis Geographically weighted regression Land use and cover change Landscape Regression Environmental factor Socioeconomics Land use Canonical analysis Correspondence analysis Plant cover
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Abstract	Land-use and land-cover change affects both ecological and socioeconomic processes, motivating the integration of environmental and socioeconomic data to help understand this change. In this study, we propose a method for the characterisation and spatial analysis of land use and cover change in the Upper Uruguay River Basin (Brazil) based on (i) the characterisation of six LUCC processes—degradation, regeneration, intensification, extensification, silviculture expansion and urbanisation—by the combination of 2002 and 2008 land-use and land-cover classifications of Landsat/TM imagery and on (ii) the investigation of the relationships between the LUCC processes and environmental and socioeconomic variables via the combination of canonical correspondence analysis, linear and local spatial regression models (OLS and GWR) and spatial clustering procedures (SKATER), using environmental data, including geomorphometric data, landscape metrics and census socioeconomic statistics. The LUCC processes could be explained in terms of the associations between the selected physical, ecological and social variables that allowed the terrain, landscape fragmentation and socioeconomic characteristics to be related to various LUCC processes.
AbstractList	Land-use and land-cover change affects both ecological and socioeconomic processes, motivating the integration of environmental and socioeconomic data to help understand this change. In this study, we propose a method for the characterisation and spatial analysis of land use and cover change in the Upper Uruguay River Basin (Brazil) based on (i) the characterisation of six LUCC processes--degradation, regeneration, intensification, extensification, silviculture expansion and urbanisation--by the combination of 2002 and 2008 land-use and land-cover classifications of Landsat/TM imagery and on (ii) the investigation of the relationships between the LUCC processes and environmental and socioeconomic variables via the combination of canonical correspondence analysis, linear and local spatial regression models (OLS and GWR) and spatial clustering procedures (SKATER), using environmental data, including geomorphometric data, landscape metrics and census socioeconomic statistics. The LUCC processes could be explained in terms of the associations between the selected physical, ecological and social variables that allowed the terrain, landscape fragmentation and socioeconomic characteristics to be related to various LUCC processes.[PUBLICATION ABSTRACT] Land-use and land-cover change affects both ecological and socioeconomic processes, motivating the integration of environmental and socioeconomic data to help understand this change. In this study, we propose a method for the characterisation and spatial analysis of land use and cover change in the Upper Uruguay River Basin (Brazil) based on (i) the characterisation of six LUCC processes—degradation, regeneration, intensification, extensification, silviculture expansion and urbanisation—by the combination of 2002 and 2008 land-use and land-cover classifications of Landsat/TM imagery and on (ii) the investigation of the relationships between the LUCC processes and environmental and socioeconomic variables via the combination of canonical correspondence analysis, linear and local spatial regression models (OLS and GWR) and spatial clustering procedures (SKATER), using environmental data, including geomorphometric data, landscape metrics and census socioeconomic statistics. The LUCC processes could be explained in terms of the associations between the selected physical, ecological and social variables that allowed the terrain, landscape fragmentation and socioeconomic characteristics to be related to various LUCC processes.
Author	de Freitas, Marcos Wellausen Dias Alves, Diógenes Salas Santos, João Roberto dos
Author_xml	– sequence: 1 givenname: Marcos Wellausen Dias surname: de Freitas fullname: de Freitas, Marcos Wellausen Dias email: marcoswfreitas@gmail.com organization: National Institute for Space Research (INPE), Av. Dos Astronautas, 1758 – sequence: 2 givenname: João Roberto dos surname: Santos fullname: Santos, João Roberto dos organization: National Institute for Space Research (INPE), Av. Dos Astronautas, 1758 – sequence: 3 givenname: Diógenes Salas surname: Alves fullname: Alves, Diógenes Salas organization: National Institute for Space Research (INPE), Av. Dos Astronautas, 1758
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Keywords	Spatial clustering Nature and society Landscape structure Canonical correspondence analysis Geographically weighted regression Land use and cover change Landscape Regression Environmental factor Socioeconomics Land use Canonical analysis Correspondence analysis Plant cover
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SubjectTerms	Animal, plant and microbial ecology Applied ecology Biological and medical sciences Biomedical and Life Sciences Ecology Environmental Management Freshwater Fundamental and applied biological sciences. Psychology General aspects Land use Landsat Landscape Landscape Ecology Landscape/Regional and Urban Planning Life Sciences Nature Conservation Remote sensing Research Article River basins Silviculture Socioeconomic factors Socioeconomics Spatial analysis Sustainable Development Urbanization
Title	Land-use and land-cover change processes in the Upper Uruguay Basin: linking environmental and socioeconomic variables
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