Publications Scientifiques

[ Article ] Assessment of Textural Differentiations in Forest Resources in Romania Using Fractal Analysis

Date de soumission: 11-04-2017
Année de Publication: 2017
Entité/Laboratoire Laboratoire d'Ecologie Appliquée (LEA)
Document type : Article
Discipline(s) : Sciences Environnement &Ecologie
Titre Assessment of Textural Differentiations in Forest Resources in Romania Using Fractal Analysis
Auteurs Andronache Ion [1], Fensholt Rasmus [2], Ahammer Helmut [3], Ciobotaru Ana-Maria [4], Pintilii Radu-Daniel [5], Peptenatu Daniel [6], Draghici Cristian-Constantin [6], Diaconu Daniel Constantin [6], Radulovic Marko [6], Pulighe Giuseppe [6], AZIHOU AKOMIAN FORTUNÉ [6], TOYI ALAGBE S. SCHOLASTIQUE MIREILLE [6], SINSIN Brice [6],
Journal: Forests
Catégorie Journal: Internationale
Impact factor: 0
Volume Journal: 8
DOI: 10.3390/f8030054
Resume Deforestation and forest degradation have several negative effects on the environment including a loss of species habitats, disturbance of the water cycle and reduced ability to retain CO2, with consequences for global warming. We investigated the evolution of forest resources from development regions in Romania affected by both deforestation and reforestation using a non-Euclidean method based on fractal analysis.We calculated four fractal dimensions of forest areas: the fractal box-counting dimension of the forest areas, the fractal box-counting dimension of the dilated forest areas, the fractal dilation dimension and the box-counting dimension of the border of the dilated forest areas. Fractal analysis revealed morpho-structural and textural differentiations of forested, deforested and reforested areas in development regions with dominant mountain relief and high hills (more forested and compact organization) in comparison to the development regions dominated by plains or low hills (less forested, more fragmented with small and isolated clusters). Our analysis used the fractal analysis that has the advantage of analyzing the entire image, rather than studying local information, thereby enabling quantification of the uniformity, fragmentation, heterogeneity and homogeneity of forests.
Mots clés fractal analysis; forest resources; forest management; box-counting method; deforestation
Pages 1 - 20

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