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Identifying socio-ecological networks in rural-urban gradients: Diagnosis of a changing cultural landscape



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Arnaiz Schmitz, Cecilia y Schmitz García, María Fe y Herrero Jaúregui, Cristina y Gutíerrez Angonese, J. y Díaz Pineda, Francisco y Montes, C. (2018) Identifying socio-ecological networks in rural-urban gradients: Diagnosis of a changing cultural landscape. Science of the total environment, 612 . pp. 625-635. ISSN 0048-9697, ESSN: 1879-1026

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URL Oficial: https://www.sciencedirect.com/science/article/pii/S0048969717322106


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.

Tipo de documento:Artículo
Palabras clave:Social welfare; Madrid region; Multivariate analysis; Landscape metrics; Socioeconomic structure; Socio-ecological coupling
Materias:Ciencias Biomédicas > Biología > Ecología
Ciencias Biomédicas > Biología > Medio ambiente natural
Código ID:47415
Depositado:07 May 2018 11:10
Última Modificación:07 May 2018 12:13

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