Modelling the relationship between urban expansion processes and urban forest characteristics: An application to the Metropolitan District of Quito

被引:30
|
作者
Bonilla-Bedoya, Santiago [1 ,2 ,3 ]
Mora, Argenis [4 ]
Vaca, Angelica [1 ]
Estrella, Anabel [5 ]
Angel Herrera, Miguel [6 ]
机构
[1] Univ Tecnol Indoamer, Res Ctr Terr & Sustainable Habitat, Quito 170301, Ecuador
[2] Univ Tecnol Indoamer, Ingn Biodiversidad & Recursos Genet, Fac Ciencias Medio Ambiente, Quito 170301, Ecuador
[3] Univ Tecnol Indoamer, Fac Arquitectura Artes & Diseno, Quito 170301, Ecuador
[4] EARTH Univ, Las Mercedes De Guacimo, Limon, Costa Rica
[5] Univ Cordoba, Dept Agr Econ, ETSIAM, Campus Excelencia Int Agroalimentario CeiA3, Cordoba, Spain
[6] Univ Cordoba, Dept Forest Engn, ETSIAM, Campus Excelencia Int Agroalimentario CeiA3, Cordoba, Spain
关键词
Urban sprawl; Urban-drivers; Forest landscape; Geo-statistical; LAND-USE CHANGE; RURAL GRADIENT; LANDSCAPE PATTERN; PLANT DIVERSITY; FUTURES MODEL; COVER CHANGE; LONG-TERM; URBANIZATION; GROWTH; REGION;
D O I
10.1016/j.compenvurbsys.2019.101420
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The rapid process of global urbanisation engenders changes in urban socio-ecological systems and in the landscape structure. However, the future processes of urban expansion in Latin American cities has been little studied even though the wellbeing of its citizens will depend on territorial management and on planning the provision of ecosystemic benefits and services. This research, considering different socio-ecological dimensions, proposed to determine the causes of potential urban expansion, analysing the dimensions and possible predictors that would explain the expansion of a high Andean city and its influence on peri-urban forest landscapes. To develop a model that integrates the complexity of the system, we used the following five dimensions: biophysics, land cover and management, infrastructure and services, socio-economics, and landscape metrics, and we opted for a binomial analysis through a spatial logistic regression model developed from 33 predictors. Considering the odd radio of the model, we observe that the independent increase in predictors, including building blocks, drinking water, sewerage, waste collection, average land size, the Interspersion and Juxtaposition Index (IJI) and Largest Patch Index (LPI), and the constant behaviour of the others predictors, would increase the probability of a potential urbanisation of the territory. Similarly, the independent increase in predictors, including the presence of protected areas, the presence of protected forests, land cover, unemployment, and the Shannon Diversity Index(SHDI), reduce the probability of the urbanisation process. Our results suggest that the territorial vulnerability from a potential urbanisation process is strongly related to an increase in infrastructure, services, and the average size of properties variables. Moreover, the landscape with the greatest potential for urbanisation presents an adequate intercalation of the different patches that compose it. However, the presence of variables such as protected areas and protective forests, in addition to monitoring indicators such as landscape diversity and mitigation strategies, could be considered to focus the analysis on the current dynamics of urbanisation processes in Latin America.
引用
收藏
页数:14
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