Identifying socio-ecological networks in rural-urban gradients: Diagnosis of a changing cultural landscape. Arnaiz-Schmitz, C., Schmitz, M., Herrero-Jáuregui, C., Gutiérrez-Angonese, J., Pineda, F., & Montes, C. Science of The Total Environment, 612:625–635, January, 2018.
Paper doi abstract bibtex Socio-ecological systems maintain reciprocal interactions between biophysical and socioeconomic structures. As a result of these interactions key essential services for society emerge. Urban expansion is a direct driver of land change and cause serious shifts in socio-ecological relationships and the associated lifestyles. The framework of rural-urban gradients has proved to be a powerful tool for ecological research about urban influences on ecosystems and on sociological issues related to social welfare. However, to date there has not been an attempt to achieve a classification of municipalities in rural-urban gradients based on socio-ecological interactions. In this paper, we developed a methodological approach that allows identifying and classifying a set of socio-ecological network configurations in the Region of Madrid, a highly dynamic cultural landscape considered one of the European hotspots in urban development. According to their socio-ecological links, the integrated model detects four groups of municipalities, ordered along a rural-urban gradient, characterized by their degree of biophysical and socioeconomic coupling and different indicators of landscape structure and social welfare. We propose the developed model as a useful tool to improve environmental management schemes and land planning from a socio-ecological perspective, especially in territories subject to intense urban transformations and loss of rurality. © 2017 Elsevier B.V. All rights reserved.
@article{arnaiz-schmitz_identifying_2018,
title = {Identifying socio-ecological networks in rural-urban gradients: {Diagnosis} of a changing cultural landscape},
volume = {612},
issn = {00489697},
shorttitle = {Identifying socio-ecological networks in rural-urban gradients},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0048969717322106},
doi = {10.1016/j.scitotenv.2017.08.215},
abstract = {Socio-ecological systems maintain reciprocal interactions between biophysical and socioeconomic structures. As a result of these interactions key essential services for society emerge. Urban expansion is a direct driver of land change and cause serious shifts in socio-ecological relationships and the associated lifestyles. The framework of rural-urban gradients has proved to be a powerful tool for ecological research about urban influences on ecosystems and on sociological issues related to social welfare. However, to date there has not been an attempt to achieve a classification of municipalities in rural-urban gradients based on socio-ecological interactions. In this paper, we developed a methodological approach that allows identifying and classifying a set of socio-ecological network configurations in the Region of Madrid, a highly dynamic cultural landscape considered one of the European hotspots in urban development. According to their socio-ecological links, the integrated model detects four groups of municipalities, ordered along a rural-urban gradient, characterized by their degree of biophysical and socioeconomic coupling and different indicators of landscape structure and social welfare. We propose the developed model as a useful tool to improve environmental management schemes and land planning from a socio-ecological perspective, especially in territories subject to intense urban transformations and loss of rurality. © 2017 Elsevier B.V. All rights reserved.},
language = {en},
urldate = {2018-12-18},
journal = {Science of The Total Environment},
author = {Arnaiz-Schmitz, C. and Schmitz, M.F. and Herrero-Jáuregui, C. and Gutiérrez-Angonese, J. and Pineda, F.D. and Montes, C.},
month = jan,
year = {2018},
pages = {625--635},
}
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According to their socio-ecological links, the integrated model detects four groups of municipalities, ordered along a rural-urban gradient, characterized by their degree of biophysical and socioeconomic coupling and different indicators of landscape structure and social welfare. We propose the developed model as a useful tool to improve environmental management schemes and land planning from a socio-ecological perspective, especially in territories subject to intense urban transformations and loss of rurality. © 2017 Elsevier B.V. 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