Spatial Analysis of Ecological Risk in a Coastal Dune Landscape Using High Resolution Aerial Photography
30 mar 2024
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 30 mar 2024
Pagine: 5 - 19
Ricevuto: 25 nov 2022
DOI: https://doi.org/10.14746/quageo-2024-0001
Parole chiave
© 2024 Noviyanti Listyaningrum et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Formulas to calculate the landscape disturbance_
Index | Equation | Assessment Unit |
---|---|---|
Landscape disturbance ( |
a + b + c = 1 a = 0,5; b = 0,3; c = 0,2 |
landscape class or sub-class |
Landscape fragmentation (X. |
landscape class or sub-class | |
Landscape isolation, segmentation, or splitting ( |
landscape class or sub-class | |
Landscape dominance ( |
landscape class or sub-class |
Landscape ecological risk index calculation_
Index | Equation | Assessment Unit |
---|---|---|
Ecological risk | grid (if one grid contains > 1 classes or sub-classes, their indices are summed, adjusting the area proportion) | |
Landscape loss degree | landscape class or sub-class |
Calculation of global and local spatial autocorrelation_
Global spatial autocorrelation | Local spatial autocorrelation | |
---|---|---|
Global spatial autocorrelation of landscape ecological risk (LER) in the Parangtritis coastal dune_
Scenario | Moran’s I | Zscore |
---|---|---|
Sub-class 2011 | 0.4112 | 18.0872 |
Sub-class 2020 | 0.6342 | 27.0196 |
Class 2011 | 0.5775 | 24.6668 |
Class 2020 | 0.6177 | 26.3570 |
Landscape fragility index (Fi) of various landscape classes based on their genesis (natural processes or human interventions)_
Landscape class | Natural | Agrogenic | Tree agrogenic | Industrogenic | Info-telecommunication | Tourismsports | Traffic | Urbanogenic | Water management |
---|---|---|---|---|---|---|---|---|---|
Index | 1.000 | 0.686 | 0.145 | 0.472 | 0.068 | 0.319 | 0.098 | 0.048 | 0.215 |