Dynamics of forest fragmentation and connectivity using particle and fractal analysis

Ion Andronache, Marian Marin, Rico Fischer, Helmut Ahammer, Marko Radulovic, Ana-Maria Ciobotaru, Herbert F. Jelinek, Antonio Di Ieva, Radu Daniel Pintilii, Cristian-Constantin Drăghici, Grigore Vasile Herman, Alexandru Sabin Nicula, Adrian-Gabriel Simion, Ioan-Vlad Loghin, Daniel-Constantin Diaconu, Daniel Peptenatu

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The ever decreasing area of forests has lead to environmental and economical challenges and has brought with it a renewed interest in developing methodologies that quantify the extent of deforestation and reforestation. In this study we analyzed the deforested areas of the Apuseni Mountains, which has been under economic pressure in recent years and resulted in widespread deforestation as a means of income. Deforested surface dynamics modeling was based on images contained in the Global Forest Database, provided by the Department of Geographical Sciences at Maryland University between 2000 and 2014. The results of the image particle analysis and modelling were based on Total Area (ha), Count of patches and Average Size whereas deforested area distribution was based on the Local Connected Fractal Dimension, Fractal Fragmentation Index and Tug-of-War Lacunarity as indicators of forest fragmentation or heterogeneity. The major findings of the study indicated a reduction of the tree cover area by 3.8%, an increase in fragmentation of 17.7% and an increase in heterogeneity by 29%, while fractal connectivity decreased only by 0.1%. The fractal and particle analysis showed a clustering of forest loss areas with an average increase from 1.1 to 3.0 ha per loss site per year. In conclusion, the fractal and particle analysis provide a relevant methodological framework to further our understanding of the spatial effects of economic pressure on forestry.

LanguageEnglish
Article number12228
Pages1-9
Number of pages9
JournalScientific Reports
Volume9
Issue number1
DOIs
Publication statusPublished - 1 Dec 2019

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fractal analysis
connectivity
fragmentation
deforestation
tug
reforestation
economics
modeling
forestry
income
mountain
methodology
particle
analysis
loss

Bibliographical note

Copyright the Author(s) 2019. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Cite this

Andronache, I., Marin, M., Fischer, R., Ahammer, H., Radulovic, M., Ciobotaru, A-M., ... Peptenatu, D. (2019). Dynamics of forest fragmentation and connectivity using particle and fractal analysis. Scientific Reports, 9(1), 1-9. [12228]. https://doi.org/10.1038/s41598-019-48277-z
Andronache, Ion ; Marin, Marian ; Fischer, Rico ; Ahammer, Helmut ; Radulovic, Marko ; Ciobotaru, Ana-Maria ; Jelinek, Herbert F. ; Di Ieva, Antonio ; Pintilii, Radu Daniel ; Drăghici, Cristian-Constantin ; Herman, Grigore Vasile ; Nicula, Alexandru Sabin ; Simion, Adrian-Gabriel ; Loghin, Ioan-Vlad ; Diaconu, Daniel-Constantin ; Peptenatu, Daniel. / Dynamics of forest fragmentation and connectivity using particle and fractal analysis. In: Scientific Reports. 2019 ; Vol. 9, No. 1. pp. 1-9.
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abstract = "The ever decreasing area of forests has lead to environmental and economical challenges and has brought with it a renewed interest in developing methodologies that quantify the extent of deforestation and reforestation. In this study we analyzed the deforested areas of the Apuseni Mountains, which has been under economic pressure in recent years and resulted in widespread deforestation as a means of income. Deforested surface dynamics modeling was based on images contained in the Global Forest Database, provided by the Department of Geographical Sciences at Maryland University between 2000 and 2014. The results of the image particle analysis and modelling were based on Total Area (ha), Count of patches and Average Size whereas deforested area distribution was based on the Local Connected Fractal Dimension, Fractal Fragmentation Index and Tug-of-War Lacunarity as indicators of forest fragmentation or heterogeneity. The major findings of the study indicated a reduction of the tree cover area by 3.8{\%}, an increase in fragmentation of 17.7{\%} and an increase in heterogeneity by 29{\%}, while fractal connectivity decreased only by 0.1{\%}. The fractal and particle analysis showed a clustering of forest loss areas with an average increase from 1.1 to 3.0 ha per loss site per year. In conclusion, the fractal and particle analysis provide a relevant methodological framework to further our understanding of the spatial effects of economic pressure on forestry.",
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Andronache, I, Marin, M, Fischer, R, Ahammer, H, Radulovic, M, Ciobotaru, A-M, Jelinek, HF, Di Ieva, A, Pintilii, RD, Drăghici, C-C, Herman, GV, Nicula, AS, Simion, A-G, Loghin, I-V, Diaconu, D-C & Peptenatu, D 2019, 'Dynamics of forest fragmentation and connectivity using particle and fractal analysis', Scientific Reports, vol. 9, no. 1, 12228, pp. 1-9. https://doi.org/10.1038/s41598-019-48277-z

Dynamics of forest fragmentation and connectivity using particle and fractal analysis. / Andronache, Ion; Marin, Marian; Fischer, Rico; Ahammer, Helmut; Radulovic, Marko; Ciobotaru, Ana-Maria; Jelinek, Herbert F.; Di Ieva, Antonio; Pintilii, Radu Daniel; Drăghici, Cristian-Constantin; Herman, Grigore Vasile; Nicula, Alexandru Sabin; Simion, Adrian-Gabriel; Loghin, Ioan-Vlad; Diaconu, Daniel-Constantin; Peptenatu, Daniel.

In: Scientific Reports, Vol. 9, No. 1, 12228, 01.12.2019, p. 1-9.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Marin, Marian

AU - Fischer, Rico

AU - Ahammer, Helmut

AU - Radulovic, Marko

AU - Ciobotaru, Ana-Maria

AU - Jelinek, Herbert F.

AU - Di Ieva, Antonio

AU - Pintilii, Radu Daniel

AU - Drăghici, Cristian-Constantin

AU - Herman, Grigore Vasile

AU - Nicula, Alexandru Sabin

AU - Simion, Adrian-Gabriel

AU - Loghin, Ioan-Vlad

AU - Diaconu, Daniel-Constantin

AU - Peptenatu, Daniel

N1 - Copyright the Author(s) 2019. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2019/12/1

Y1 - 2019/12/1

N2 - The ever decreasing area of forests has lead to environmental and economical challenges and has brought with it a renewed interest in developing methodologies that quantify the extent of deforestation and reforestation. In this study we analyzed the deforested areas of the Apuseni Mountains, which has been under economic pressure in recent years and resulted in widespread deforestation as a means of income. Deforested surface dynamics modeling was based on images contained in the Global Forest Database, provided by the Department of Geographical Sciences at Maryland University between 2000 and 2014. The results of the image particle analysis and modelling were based on Total Area (ha), Count of patches and Average Size whereas deforested area distribution was based on the Local Connected Fractal Dimension, Fractal Fragmentation Index and Tug-of-War Lacunarity as indicators of forest fragmentation or heterogeneity. The major findings of the study indicated a reduction of the tree cover area by 3.8%, an increase in fragmentation of 17.7% and an increase in heterogeneity by 29%, while fractal connectivity decreased only by 0.1%. The fractal and particle analysis showed a clustering of forest loss areas with an average increase from 1.1 to 3.0 ha per loss site per year. In conclusion, the fractal and particle analysis provide a relevant methodological framework to further our understanding of the spatial effects of economic pressure on forestry.

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Andronache I, Marin M, Fischer R, Ahammer H, Radulovic M, Ciobotaru A-M et al. Dynamics of forest fragmentation and connectivity using particle and fractal analysis. Scientific Reports. 2019 Dec 1;9(1):1-9. 12228. https://doi.org/10.1038/s41598-019-48277-z