Version 1
: Received: 21 February 2023 / Approved: 22 February 2023 / Online: 22 February 2023 (07:32:03 CET)
How to cite:
Catalano, G. A.; D'Urso, P. R.; Maci, F.; Arcidiacono, C. Influence of Parameters in SDMs Application to Citrus Presence in Mediterranean Area. Preprints2023, 2023020379. https://doi.org/10.20944/preprints202302.0379.v1
Catalano, G. A.; D'Urso, P. R.; Maci, F.; Arcidiacono, C. Influence of Parameters in SDMs Application to Citrus Presence in Mediterranean Area. Preprints 2023, 2023020379. https://doi.org/10.20944/preprints202302.0379.v1
Catalano, G. A.; D'Urso, P. R.; Maci, F.; Arcidiacono, C. Influence of Parameters in SDMs Application to Citrus Presence in Mediterranean Area. Preprints2023, 2023020379. https://doi.org/10.20944/preprints202302.0379.v1
APA Style
Catalano, G. A., D'Urso, P. R., Maci, F., & Arcidiacono, C. (2023). Influence of Parameters in SDMs Application to Citrus Presence in Mediterranean Area. Preprints. https://doi.org/10.20944/preprints202302.0379.v1
Chicago/Turabian Style
Catalano, G. A., Federico Maci and Claudia Arcidiacono. 2023 "Influence of Parameters in SDMs Application to Citrus Presence in Mediterranean Area" Preprints. https://doi.org/10.20944/preprints202302.0379.v1
Abstract
In this study, the application of the main algorithms used for SDM, namely Boosted Regression Tree (BRT), Generalized Linear Model (GLM), Multivariate Adaptive Regression Splines (MARS), Maximum Entropy (MAXENT) and Random Forest (RF), were considered in order to simulate the citrus probability of distribution in a Mediterranean area, based on presence data and a random background sample, and in relation to several predictors. The predictors were grouped under 19 bioclimatic variables, elevation described through a Digital terrain model, soil physical properties, and irrigation. Sensitivity analysis was carried out by: modifying the values of the main models’ parameters; and reducing the input presence points.
Keywords
Vistrails-SAHM software; citrus; spatial distribution; probability of presence; Mediterranean climate; predictor layers
Subject
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.