|
|||||
|
|
A GIS-based integrated approach predicts accurately post-fire Aleppo pine regeneration at regional scale |
|
| Authors: | Kostas S Poirazidis Konstantina Zografou Panagiotis Kordopatis Dionissios P Kalivas Margarita Arianoutsou Dimitrios Kazanis Evangelia Korakaki |
| Institution: | 1. WWF Greece, 21, Lembessi St., 11743, Athens, Greece 2. Department of Environmental Technology and Ecology, Technological Educational Institute of Ionian Islands, 2 Calvou Sq, 29100, Zakynthos, Greece 3. Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos, 118 55, Athens, Greece 4. Department of Ecology and Systematics, National and Kapodistrian University of Athens, Panepistimiopolis, Ilisia, 15784, Athens, Greece |
| Abstract: | ContextThis study investigates post-fire natural regeneration of Aleppo pine (Pinus halepensis) forests at Ilia region (Peloponnesus, Greece) following the catastrophic fire of 2007.AimsThe objective of this study is the prediction of P. halepensis post-fire regeneration at a regional scale through an integrated geographic information systems (GIS) model as a basis for post-fire management plans.MethodsThe model was developed in three interconnected stages: (1) field data collection, (2) development of two prediction models (based on interpolation of field data and multi-criteria evaluation (MCE) that combined factors known to affect regeneration), and (3) combination of applied models using Bayesian statistics.ResultsPost-fire pine regeneration presented high variation among the studied plots. Redundancy analysis revealed the positive effect of fallen branches and a negative correlation with altitude. Both modeling approaches (geostatistical and MCE) predicted the post-fire pine regeneration with high accuracy. A very significant correlation (r?=?0.834, p?<?0.01) was found between the combined final model and the actual number of counted seedlings, illustrating that less than 10?% of the studied area corresponds to sites of very low post-fire pine regeneration.ConclusionsThe combination of GIS models increased the prediction success of different levels of pine regeneration. Low-altitude areas with low grass cover overlying tertiary deposits were proved the most suitable for pine regeneration, while stands developing on limestone proved least suitable. The proposed methodology provides management authorities with a sound tool to quickly assess Aleppo pine post-fire regeneration potential. |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |