Reporting land degradation sensitivity through multiple indicators: Does scale matter?

This work provides a multi-scale, multi-temporal assessment of the robustness of 6 indicators of land degradation aggregated at various spatial domains relevant to environmental reporting. Based on the Environmentally Sensitive Area (ESA) approach – widely used for environmental reporting of land de...

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Autores principales: Samaneh Sadat Nickayin, Giovanni Quaranta, Rosanna Salvia, Sirio Cividino, Pavel Cudlin, Luca Salvati
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/b50fb2c6cc7b4dffaabe6a73ef74be11
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spelling oai:doaj.org-article:b50fb2c6cc7b4dffaabe6a73ef74be112021-12-01T04:48:09ZReporting land degradation sensitivity through multiple indicators: Does scale matter?1470-160X10.1016/j.ecolind.2021.107560https://doaj.org/article/b50fb2c6cc7b4dffaabe6a73ef74be112021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21002259https://doaj.org/toc/1470-160XThis work provides a multi-scale, multi-temporal assessment of the robustness of 6 indicators of land degradation aggregated at various spatial domains relevant to environmental reporting. Based on the Environmentally Sensitive Area (ESA) approach – widely used for environmental reporting of land degradation in Europe – we tested six indicators including (i) the average ESA score, (ii) the maximum ESA score, (iii) the coefficient of variation in the ESA scores, (iv) the normalized range in the ESA scores, as well as the extent of (v) ‘fragile’ and (vi) ‘critical’ areas based on a standard land classification developed on behalf of the ESA framework. Statistical robustness and intrinsic stability of these indicators were verified at six spatial domains (administrative regions, provinces, elevation belts, homogeneous economic districts, rural districts, municipalities) separately for three time points (early-1960s, early-1990s, and early-2010s). Results of a mixed parametric/non-parametric correlation analysis indicate that pair-wise relationships between indicators were mostly linear. A Principal Component Analysis identified two non-redundant dimensions associated with the average level of land degradation sensitivity and its intrinsic variability over space; indicators resulted to be associated exclusively with one of these two dimensions for all study years. Average level of sensitivity and variability over space provide, together, a comprehensive and statistically robust assessment of land degradation at vastly different planning levels, irrespective of the territorial domain adopted for environmental reporting.Samaneh Sadat NickayinGiovanni QuarantaRosanna SalviaSirio CividinoPavel CudlinLuca SalvatiElsevierarticleStatistical robustnessMulti-scale validationEnvironmental reportingSouthern EuropeEcologyQH540-549.5ENEcological Indicators, Vol 125, Iss , Pp 107560- (2021)
institution DOAJ
collection DOAJ
language EN
topic Statistical robustness
Multi-scale validation
Environmental reporting
Southern Europe
Ecology
QH540-549.5
spellingShingle Statistical robustness
Multi-scale validation
Environmental reporting
Southern Europe
Ecology
QH540-549.5
Samaneh Sadat Nickayin
Giovanni Quaranta
Rosanna Salvia
Sirio Cividino
Pavel Cudlin
Luca Salvati
Reporting land degradation sensitivity through multiple indicators: Does scale matter?
description This work provides a multi-scale, multi-temporal assessment of the robustness of 6 indicators of land degradation aggregated at various spatial domains relevant to environmental reporting. Based on the Environmentally Sensitive Area (ESA) approach – widely used for environmental reporting of land degradation in Europe – we tested six indicators including (i) the average ESA score, (ii) the maximum ESA score, (iii) the coefficient of variation in the ESA scores, (iv) the normalized range in the ESA scores, as well as the extent of (v) ‘fragile’ and (vi) ‘critical’ areas based on a standard land classification developed on behalf of the ESA framework. Statistical robustness and intrinsic stability of these indicators were verified at six spatial domains (administrative regions, provinces, elevation belts, homogeneous economic districts, rural districts, municipalities) separately for three time points (early-1960s, early-1990s, and early-2010s). Results of a mixed parametric/non-parametric correlation analysis indicate that pair-wise relationships between indicators were mostly linear. A Principal Component Analysis identified two non-redundant dimensions associated with the average level of land degradation sensitivity and its intrinsic variability over space; indicators resulted to be associated exclusively with one of these two dimensions for all study years. Average level of sensitivity and variability over space provide, together, a comprehensive and statistically robust assessment of land degradation at vastly different planning levels, irrespective of the territorial domain adopted for environmental reporting.
format article
author Samaneh Sadat Nickayin
Giovanni Quaranta
Rosanna Salvia
Sirio Cividino
Pavel Cudlin
Luca Salvati
author_facet Samaneh Sadat Nickayin
Giovanni Quaranta
Rosanna Salvia
Sirio Cividino
Pavel Cudlin
Luca Salvati
author_sort Samaneh Sadat Nickayin
title Reporting land degradation sensitivity through multiple indicators: Does scale matter?
title_short Reporting land degradation sensitivity through multiple indicators: Does scale matter?
title_full Reporting land degradation sensitivity through multiple indicators: Does scale matter?
title_fullStr Reporting land degradation sensitivity through multiple indicators: Does scale matter?
title_full_unstemmed Reporting land degradation sensitivity through multiple indicators: Does scale matter?
title_sort reporting land degradation sensitivity through multiple indicators: does scale matter?
publisher Elsevier
publishDate 2021
url https://doaj.org/article/b50fb2c6cc7b4dffaabe6a73ef74be11
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