Literature DB >> 28866391

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

C Arnaiz-Schmitz1, M F Schmitz2, C Herrero-Jáuregui2, J Gutiérrez-Angonese3, F D Pineda2, C Montes3.   

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.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Landscape metrics; Madrid region; Multivariate analysis; Social welfare; Socio-ecological coupling; Socioeconomic structure

Mesh:

Year:  2017        PMID: 28866391     DOI: 10.1016/j.scitotenv.2017.08.215

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Temporal and Spatial Differences of Urban Ecological Environment and Economic Development Based on Graph Neural Network.

Authors:  Wenbo Zhang; Binggeng Xie
Journal:  Comput Intell Neurosci       Date:  2022-06-21

2.  The Urban Gradient in Malaria-Endemic Municipalities in Acre: Revisiting the Role of Locality.

Authors:  Ana Paula Dal'Asta; Raquel Martins Lana; Silvana Amaral; Cláudia Torres Codeço; Antônio Miguel Vieira Monteiro
Journal:  Int J Environ Res Public Health       Date:  2018-06-13       Impact factor: 3.390

  2 in total

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