Evaluating the spatial coherence of composite indexes of land degradation at small administrative units
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F23%3A00575275" target="_blank" >RIV/86652079:_____/23:00575275 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S0195925523001920?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0195925523001920?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.eiar.2023.107226" target="_blank" >10.1016/j.eiar.2023.107226</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Evaluating the spatial coherence of composite indexes of land degradation at small administrative units
Popis výsledku v původním jazyce
In light of the 'zero-net land degradation strategy', the United Nations Convention to Combat Desertification (UNCCD) guidelines for policy-relevant indicators of land quality, have stressed the importance of comparable indexes' informative value across spatial scales. However, the proliferation of composite indexes of land sensi-tivity, vulnerability, or exposure to desertification risk, has been occasionally grounded on a systematization of theoretical concepts both in advanced economies and in emerging countries. Rationalization of the operational approaches to land degradation assessment implies a (spatially explicit) comparison and verification of their outcomes at different (policy-relevant) spatial scales. To answer this issue, we implemented a statistical approach evaluating the coherence and reliability of four composite indexes of land degradation (ES3, ES4, LVI, DSI), with a practical application for Italy, a Mediterranean country classified as 'affected' by UNCCD. Using (municipal) administrative units as the elementary analysis' domain, sequential econometric techniques were used to test the internal (spatially explicit) coherence of the four composite indexes, and the role of information redundancy, for calibration of local-scale land degradation strategies. The outcomes of spatial regressions documented the po-tential of the four indexes in a short-term assessment of land vulnerability, confirming that such indexes provided a coherent ranking of Italian municipalities based on their intrinsic degree of land degradation. Principal Component Analysis documented the superior informative power of the ES4 index and confirms the appropri-ateness of an extensive use of the Environmentally Sensitive Area Index (ESAI) at small spatial scales. The proposed framework supports the creation of an index dashboard to monitoring complex environmental phenomena.
Název v anglickém jazyce
Evaluating the spatial coherence of composite indexes of land degradation at small administrative units
Popis výsledku anglicky
In light of the 'zero-net land degradation strategy', the United Nations Convention to Combat Desertification (UNCCD) guidelines for policy-relevant indicators of land quality, have stressed the importance of comparable indexes' informative value across spatial scales. However, the proliferation of composite indexes of land sensi-tivity, vulnerability, or exposure to desertification risk, has been occasionally grounded on a systematization of theoretical concepts both in advanced economies and in emerging countries. Rationalization of the operational approaches to land degradation assessment implies a (spatially explicit) comparison and verification of their outcomes at different (policy-relevant) spatial scales. To answer this issue, we implemented a statistical approach evaluating the coherence and reliability of four composite indexes of land degradation (ES3, ES4, LVI, DSI), with a practical application for Italy, a Mediterranean country classified as 'affected' by UNCCD. Using (municipal) administrative units as the elementary analysis' domain, sequential econometric techniques were used to test the internal (spatially explicit) coherence of the four composite indexes, and the role of information redundancy, for calibration of local-scale land degradation strategies. The outcomes of spatial regressions documented the po-tential of the four indexes in a short-term assessment of land vulnerability, confirming that such indexes provided a coherent ranking of Italian municipalities based on their intrinsic degree of land degradation. Principal Component Analysis documented the superior informative power of the ES4 index and confirms the appropri-ateness of an extensive use of the Environmentally Sensitive Area Index (ESAI) at small spatial scales. The proposed framework supports the creation of an index dashboard to monitoring complex environmental phenomena.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10511 - Environmental sciences (social aspects to be 5.7)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Environmental Impact Assessment Review
ISSN
0195-9255
e-ISSN
1873-6432
Svazek periodika
103
Číslo periodika v rámci svazku
NOV
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
14
Strana od-do
107226
Kód UT WoS článku
001054943600001
EID výsledku v databázi Scopus
2-s2.0-85166910214