Tree genotype and seasonal effects on soil properties and biogeochemical functioning in Mediterranean pine forests

2018 ◽  
Vol 69 (6) ◽  
pp. 1087-1097 ◽  
Author(s):  
L. Pérez-Izquierdo ◽  
L. Saint-André ◽  
P. Santenoise ◽  
M. Buée ◽  
A. Rincón
Keyword(s):  
Soil Properties ◽  
Pine Forests ◽  
Seasonal Effects ◽  
Mediterranean Pine

Changes in soil hydraulic conductivity after prescribed fires in Mediterranean pine forests

2019 ◽  
Vol 232 ◽  
pp. 1021-1027 ◽  
Author(s):  
P.A. Plaza-Álvarez ◽  
M.E. Lucas-Borja ◽  
J. Sagra ◽  
D.A. Zema ◽  
J. González-Romero ◽  
...  
Keyword(s):  
Hydraulic Conductivity ◽  
Pine Forests ◽  
Prescribed Fires ◽  
Soil Hydraulic Conductivity ◽  
Soil Hydraulic ◽  
Mediterranean Pine

Functional outcomes of fungal community shifts driven by tree genotype and spatial-temporal factors in Mediterranean pine forests

2017 ◽  
Vol 19 (4) ◽  
pp. 1639-1652 ◽  
Author(s):  
Leticia Pérez-Izquierdo ◽  
Mario Zabal-Aguirre ◽  
Dulce Flores-Rentería ◽  
Santiago C. González-Martínez ◽  
Marc Buée ◽  
...  
Keyword(s):  
Fungal Community ◽  
Functional Outcomes ◽  
Pine Forests ◽  
Temporal Factors ◽  
Community Shifts ◽  
Mediterranean Pine

Water-Based Forest Management of Mediterranean Pine Forests

2021 ◽  
pp. 727-746
Author(s):  
Ana María Sabater ◽  
Eduardo Vicente ◽  
Luna Morcillo ◽  
Antonio del Campo ◽  
Elisabeth Karlstad Larsen ◽  
...  
Keyword(s):  
Forest Management ◽  
Pine Forests ◽  
Water Based ◽  
Mediterranean Pine

SYPYDA: A software tool for fire management in Mediterranean pine forests of Greece

2016 ◽  
Vol 121 ◽  
pp. 195-199 ◽  
Author(s):  
Ioannis Mitsopoulos ◽  
Panayotis Trapatsas ◽  
Gavriil Xanthopoulos
Keyword(s):  
Fire Management ◽  
Software Tool ◽  
Pine Forests ◽  
Mediterranean Pine ◽  
Of Greece

Sensitivity of X-, C-, and L-Band SAR Backscatter to Burn Severity in Mediterranean Pine Forests

2010 ◽  
Vol 48 (10) ◽  
pp. 3663-3675 ◽  
Author(s):  
Mihai A. Tanase ◽  
Maurizio Santoro ◽  
Juan de la Riva ◽  
Fernando Prez-Cabello ◽  
Thuy Le Toan
Keyword(s):  
Pine Forests ◽  
Burn Severity ◽  
L Band ◽  
Mediterranean Pine

Bee response to fire regimes in Mediterranean pine forests: The role of nesting preference, trophic specialization, and body size

2016 ◽  
Vol 17 (4) ◽  
pp. 308-320 ◽  
Author(s):  
Maria Lazarina ◽  
Stefanos P. Sgardelis ◽  
Thomas Tscheulin ◽  
Athanasios S. Kallimanis ◽  
Jelle Devalez ◽  
...  
Keyword(s):  
Body Size ◽  
Fire Regimes ◽  
Pine Forests ◽  
Trophic Specialization ◽  
Mediterranean Pine

scholarly journals Identifying Post-Fire Recovery Trajectories and Driving Factors Using Landsat Time Series in Fire-Prone Mediterranean Pine Forests

2020 ◽  
Vol 12 (9) ◽  
pp. 1499 ◽  
Author(s):  
Alba Viana-Soto ◽  
Inmaculada Aguado ◽  
Javier Salas ◽  
Mariano García
Keyword(s):  
Time Series ◽  
Fire Severity ◽  
Driving Factors ◽  
Pine Forests ◽  
Recovery Rates ◽  
Tasseled Cap ◽  
Successional Stages ◽  
Mediterranean Pine ◽  
Recovery Dynamics ◽  
In Fire

Wildfires constitute the most important natural disturbance of Mediterranean forests, driving vegetation dynamics. Although Mediterranean species have developed ecological post-fire recovery strategies, the impacts of climate change and changes in fire regimes may endanger their resilience capacity. This study aims at assessing post-fire recovery dynamics at different stages in two large fires that occurred in Mediterranean pine forests (Spain) using temporal segmentation of the Landsat time series (1994–2018). Landsat-based detection of Trends in Disturbance and Recovery (LandTrendr) was used to derive trajectory metrics from Tasseled Cap Wetness (TCW), sensitive to canopy moisture and structure, and Tasseled Cap Angle (TCA), related to vegetation cover gradients. Different groups of post-fire trajectories were identified through K-means clustering of the Recovery Ratios (RR) from fitted trajectories: continuous recovery, continuous recovery with slope changes, continuous recovery stabilized and non-continuous recovery. The influence of pre-fire conditions, fire severity, topographic variables and post-fire climate on recovery rates for each recovery category at successional stages was analyzed through Geographically Weighted Regression (GWR). The modeling results indicated that pine forest recovery rates were highly sensitive to post-fire climate in the mid and long-term and to fire severity in the short-term, but less influenced by topographic conditions (adjusted R-squared ranged from 0.58 to 0.88 and from 0.54 to 0.93 for TCA and TCW, respectively). Recovery estimation was assessed through orthophotos, showing a high accuracy (Dice Coefficient ranged from 0.81 to 0.97 and from 0.74 to 0.96 for TCA and TCW, respectively). This study provides new insights into the post-fire recovery dynamics at successional stages and driving factors. The proposed method could be an approach to model the recovery for the Mediterranean areas and help managers in determining which areas may not be able to recover naturally.

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