Afforestation of post-fire Pinus brutia Ten. forests: Effects of Eucalyptus camaldulensis Dehnh., P. brutia and Pinus pinea L. leaf extracts on cell division in P. brutia seeds

Kaynaş, Burçin Yenisey

doi:10.26651/allelo.j/2020-49-1-1259

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These species are preferred in post-fire afforestation owing to their resistance to dry conditions and their ability to regenerate in a short time. They also have economic importance such as pulp production [46][47][48]. However, they are also the species most exposed to forest fires in Europe [49].…”

Section: Introductionmentioning

confidence: 99%

Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest

Abdikan

Bayık

Şekertekin

et al. 2022

Forests

View full text Add to dashboard Cite

Burned area (BA) mapping of a forest after a fire is required for its management and the determination of the impacts on ecosystems. Different remote sensing sensors and their combinations have been used due to their individual limitations for accurate BA mapping. This study analyzes the contribution of different features derived from optical, thermal, and Synthetic Aperture Radar (SAR) images to extract BA information from the Turkish red pine (Pinus brutia Ten.) forest in a Mediterranean ecosystem. In addition to reflectance values of the optical images, Normalized Burn Ratio (NBR) and Land Surface Temperature (LST) data are produced from both Sentinel-2 and Landsat-8 data. The backscatter of C-band Sentinel-1 and L-band ALOS-2 SAR images and the coherence feature derived from the Interferometric SAR technique were also used. The pixel-based random forest image classification method is applied to classify the BA detection in 24 scenarios created using these features. The results show that the L-band data provided a better contribution than C-band data and the combination of features created from Landsat LST, NBR, and coherence of L-band ALOS-2 achieved the highest accuracy, with an overall accuracy of 96% and a Kappa coefficient of 92.62%.

show abstract

Section: Introductionmentioning

confidence: 99%

Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest

Abdikan

Bayık

Şekertekin

et al. 2022

Forests

View full text Add to dashboard Cite

show abstract

“…Fires are the most dangerous form of encroachment on Syrian forests due to the sudden change in the environment surrounding these forests. Annually, the fires consume the equivalent of 755.19 ha of our forests, most of which consist of Pinus brutia (Kasas 2008). The 2002 damage caused by forest fires is most severe in felled areas (Rowell, Moore 2003).…”

mentioning

confidence: 99%

Burned area determination using Sentinel-2 satellite images and the impact of fire on the availability of soil nutrients in Syria

Al-hasn¹,

Almuhammad²

2022

J. For. Sci.

View full text Add to dashboard Cite

The objective of this research is the identification of burned forest areas that occurred in Syria from September 2<sup>nd </sup>to October 15<sup>th</sup>, 2020. Forest fire risk classes were determined using Sentinel-2 images. Normalized Burn Ratio (NBR), Differenced Normalized Burn Ratio (dNBR), and Burned Area Index for Sentinel-2 (BAIS2), and Normalized Difference Vegetation Index (NDVI) were used for the identification how much the forests have been destroyed and to establish fire risk classes. According to the study results, the size of the vegetation area that was destroyed due to fire was determined, and the probability of the forest fire exposure of these areas was established. The fires also altered some chemical properties in the soil during the combustion process. Thus, this study was focused on the impact of fire on the availability of soil nutrients. Soil samples were collected from three depths (0–10 cm, 10–20 cm and 20–30 cm) under the forest land a month after the fire in three locations: Al-Fazeen, Sawda and Gard Al-rihan. Pine (Pinus brutia) trees cover these areas. The results of this study indicated that the fire increased pH, EC and sand, the fire also led to an increase in the solubility of the available major soil elements N, P and K. There was an increase in the solubility of the soil microelements Zn, Cu, Mn and Fe while the content of organic material and silt and clay ratio decreased at the three sites in comparison with unburned soil.

show abstract

Afforestation of post-fire Pinus brutia Ten. forests: Effects of Eucalyptus camaldulensis Dehnh., P. brutia and Pinus pinea L. leaf extracts on cell division in P. brutia seeds

Cited by 2 publications

References 0 publications

Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest

Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest

Burned area determination using Sentinel-2 satellite images and the impact of fire on the availability of soil nutrients in Syria

Contact Info

Product

Resources

About