Assessing urban ecosystem condition account with object-based methods
dc.contributor.author | Álvarez-Ripado, Ariadna | |
dc.contributor.author | Bruzón, Adrián G. | |
dc.contributor.author | Álvarez-García, David | |
dc.contributor.author | Arrogante-Funes, Patricia | |
dc.date.accessioned | 2024-10-31T10:44:10Z | |
dc.date.available | 2024-10-31T10:44:10Z | |
dc.date.issued | 2024-11 | |
dc.description.abstract | We present a methodology based on the System of Environmental-Economic Accounting-Ecosystems Accounting (SEEA-EA) framework to measure urban ecosystem condition accounts. This methodology allows the condition accounts of urban ecosystems to be spatially and explicitly evaluated at a detailed scale. The reference area is determined using object-based evaluation, where the reference value for each variable is set in a real geographic context rather than individual pixels. This methodology consists of the following steps: 1. Delimitation of the urban categories to be evaluated; 2. Selection of the variables that characterize the abiotic and biotic environment; 3. Establishment of the reference polygon with which to compare the condition values; 4. Calculation of weighted condition indicators; 5. Generation of a single condition index from the aggregation of the indicators. In Madrid, the areas with the highest condition levels are characterised by a significant density of trees and bird species richness. In contrast, areas with the lowest condition levels are defined by high contamination, impervious surfaces, built-up areas and major communication routes. This innovative approach to calculating urban conditions represents an advancement in local-scale urban condition accounting and offers a potentially compatible tool with current urban policy frameworks. Its applications can be various, from identifying urban problems to reviewing the effectiveness of a plan already implemented. Several advantages have been identified over other ecosystem accounting metrics. These advantages include lower operating costs, a more integrative vision, adaptability to different spatial scales, flexibility in modifying its structure, the capacity to incorporate complex urban dynamics, reduced dependence on human judgment and easier interpretation of results | es |
dc.identifier.citation | Ariadna Álvarez-Ripado, Adrián G. Bruzón, David Álvarez-García, Patricia Arrogante-Funes, Assessing urban ecosystem condition account with object-based methods, Ecological Indicators, Volume 168, 2024, 112727, ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2024.112727 | es |
dc.identifier.doi | 10.1016/j.ecolind.2024.112727 | es |
dc.identifier.issn | 1872-7034 (online) | |
dc.identifier.issn | 1470-160X (print) | |
dc.identifier.uri | https://hdl.handle.net/10115/40938 | |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Urban ecosystem accounting | es |
dc.subject | Natural capital | es |
dc.subject | Condition account | es |
dc.subject | SEEA-EA | es |
dc.subject | Madrid | es |
dc.title | Assessing urban ecosystem condition account with object-based methods | es |
dc.type | info:eu-repo/semantics/article | es |
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