cris.boxmetadata.label.title
Convergence of ecological footprint and emergy analysis as a sustainability indicator of countries: Peru as case study
cris.boxmetadata.label.dateissued
01 browse.startsWith.months.october 2010
cris.boxmetadata.label.accesslevel
metadata only access
cris.boxmetadata.label.resourcetype
journal article
cris.boxmetadata.label.authors
SICHE JARA, RAUL BENITO
Pereira L.
Agostinho F.
Ortega E.
cris.boxmetadata.label.publisher
Elsevier
cris.boxmetadata.label.abstract
In the last decade, two scientific tools have been extensively used worldwide to measure the human impact on nature: ecological footprint (EF) and emergy analysis (EA). Papers trying to combine the strong points of EF and EA, and obtain more accurate results have appeared in scientific literature, in which Zhao's et al. (2005) [61] approach is an important one. Unfortunately, some weak points of the original methods still remain on the new approaches proposed. The aim of this present work is to discuss some weak points found in Zhao's approach, trying to overcome them through a new approach called emergetic ecological footprint (EEF). The main difference between Zhao's approach and EEF is that the last one accounted for the internal storage of capital natural in the biocapacity calculation. Besides that, soil loss and water for human consume were considered as additional categories in the footprint calculation. After discussing it through comparisons with other approaches, EEF was used to assess Peru as a case study, resulting in a biocapacity of 51.76 gha capita-1 and a footprint of 12.23 gha capita-1, with 2004 data; that resulted in an ecological surplus of 39.53 gha capita-1. The load capacity factor obtained was 4.23, meaning that Peru can support a population 4.23 times bigger considering the life style of 2004. The main limitations of the EEF are: (i) it is impossible to make comparisons between the biocapacity and footprint for each category; (ii) a need for a handbook with emergy intensity factors with good quality. On the other hand, the main positive points are: (i) its easiness of application in global and national scales; (ii) its final indicators account for all the previous energy (or emergy) used to make something; (iii) internal natural capital storage was accounted for in the biocapacity calculation, which can be a valid step towards the evaluation and assess of services provided by nature. © 2009 Elsevier B.V. All rights reserved.
cris.boxmetadata.label.citationstartpage
3182
cris.boxmetadata.label.citationendpage
3192
cris.boxmetadata.label.volume
15
cris.boxmetadata.label.issue
10
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Biorremediación, Biotecnologías de diagnóstico en la gestión ambiental
Conservación de la Biodiversidad
Ecología
Ingeniería ambiental y geológica
cris.boxmetadata.label.subjects
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-77951025153
cris.boxmetadata.label.source
Communications in Nonlinear Science and Numerical Simulation
cris.boxmetadata.label.containerissn
10075704
cris.boxmetadata.label.sponsor
The authors are grateful to CNPq ( Conselho Nacional de Desenvolvimento Científico e Tecnológico ) and CAPES ( Coordenação de Aperfeiçoamento de Pessoal de Nível Superior ) for their financial support.
peru-layout.shadow-copies
Directorio de Producción Científica
Scopus