default author photo

Marco Borghetti

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

167

TOTAL CITATIONS

0

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

The Legacy of Intense Drought in Mixed Mediterranean Forests: The Effects of Overshoot Droughts, Specific Functional Traits and Site Conditions

Number of pages: 51 Posted: 03 Nov 2022
Francesco Ripullone, Santain S.P. Italiano, Jesús Julio Camarero, Angelo Rita, Michele Colangelo and Marco Borghetti
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Naples Federico II, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 64 (933,592)

Abstract:

Loading...

Acer monspessulanum, Fraxinus ornus, legacy effects, resilience, tree-ring width

2.

Assessing Post-Fire Vegetation Recovery Driving Factors in Mediterranean Forests Using Landsat Spectral Metrics

Number of pages: 27 Posted: 13 Feb 2023
Maria Floriana Spatola, Marco Borghetti and Angelo Nolè
affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 60 (961,006)

Abstract:

Loading...

wildfire, Post-fire vegetation recovery, Mediterranean forest, Landsat Time Series (LTS), Google Earth Engine, Environmental variable

3.

Phenological Responses of Declining Mediterranean Oak Forests: A Satellite-Based Analysis of Canopy Dynamics

Number of pages: 33 Posted: 10 Feb 2025
Maria Castellaneta, Marco Borghetti, Angelo Rita, Emanuele Ciancia, Nicola Genzano, Guido Masiello, Antonio Saracino and Francesco Ripullone
Università degli Studi della Basilicata, affiliation not provided to SSRN, University of Naples Federico II, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 43 (1,145,425)

Abstract:

Loading...

Climate change, forest decline, Mediterranean oak forests, remote-sensing, vegetation phenology