Using fractal analysis in modeling the dynamics of forest areas and economic impact assessment: Maramureș County, Romania, as a case study

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Using fractal analysis in modeling the dynamics of forest areas and economic impact assessment : Maramureș County, Romania, as a case study. / Pintilii, Radu Daniel; Andronache, Ion; Diaconu, Daniel Constantin; Dobrea, Răzvan Cătălin; Zeleňáková, Martina; Fensholt, Rasmus; Peptenatu, Daniel; Drăghici, Cristian Constantin; Ciobotaru, Ana Maria.

I: Forests, Bind 8, Nr. 1, 25, 2017.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Pintilii, RD, Andronache, I, Diaconu, DC, Dobrea, RC, Zeleňáková, M, Fensholt, R, Peptenatu, D, Drăghici, CC & Ciobotaru, AM 2017, 'Using fractal analysis in modeling the dynamics of forest areas and economic impact assessment: Maramureș County, Romania, as a case study', Forests, bind 8, nr. 1, 25. https://doi.org/10.3390/f8010025

APA

Pintilii, R. D., Andronache, I., Diaconu, D. C., Dobrea, R. C., Zeleňáková, M., Fensholt, R., Peptenatu, D., Drăghici, C. C., & Ciobotaru, A. M. (2017). Using fractal analysis in modeling the dynamics of forest areas and economic impact assessment: Maramureș County, Romania, as a case study. Forests, 8(1), [25]. https://doi.org/10.3390/f8010025

Vancouver

Pintilii RD, Andronache I, Diaconu DC, Dobrea RC, Zeleňáková M, Fensholt R o.a. Using fractal analysis in modeling the dynamics of forest areas and economic impact assessment: Maramureș County, Romania, as a case study. Forests. 2017;8(1). 25. https://doi.org/10.3390/f8010025

Author

Pintilii, Radu Daniel ; Andronache, Ion ; Diaconu, Daniel Constantin ; Dobrea, Răzvan Cătălin ; Zeleňáková, Martina ; Fensholt, Rasmus ; Peptenatu, Daniel ; Drăghici, Cristian Constantin ; Ciobotaru, Ana Maria. / Using fractal analysis in modeling the dynamics of forest areas and economic impact assessment : Maramureș County, Romania, as a case study. I: Forests. 2017 ; Bind 8, Nr. 1.

Bibtex

@article{26eb12fa915c4e949abc2449e2135cda,
title = "Using fractal analysis in modeling the dynamics of forest areas and economic impact assessment: Maramureș County, Romania, as a case study",
abstract = "This study uses fractal analysis to quantify the spatial changes of forest resources caused by an increase of deforested areas. The method introduced contributes to the evaluation of forest resources being under significant pressure from anthropogenic activities. The pressure on the forest resources has been analyzed for Maramures, County, one of the most deforested counties in Romania. In order to evaluate this, the deforested areas were calculated for the period of 2001-2014, by using the Global Forest Change 2000-2014 database. The Fractal Fragmentation Index (FFI) and Fixed Grid 2D Lacunarity (FG2DL) were used to quantify the degree of fragmentation and dispersion of the forested areas, and thereby the extent to which a forest area is affected by deforestation. The process of quantifying the pressure on forested areas included the creation of a database for the period of 2000-2014 containing economic activities (turnover) related to woody recourses, important indicators of forest exploitation. Taken together, the results obtained indicate a dramatic increase in deforested areas (over 19,122 ha in total for the period of analysis), in Maramures, County.",
keywords = "Deforested areas, Economic pressure, Forest resources, Fractal analysis, Lacunarity, Territorial management",
author = "Pintilii, {Radu Daniel} and Ion Andronache and Diaconu, {Daniel Constantin} and Dobrea, {R{\u a}zvan C{\u a}t{\u a}lin} and Martina Zele{\v n}{\'a}kov{\'a} and Rasmus Fensholt and Daniel Peptenatu and Dr{\u a}ghici, {Cristian Constantin} and Ciobotaru, {Ana Maria}",
year = "2017",
doi = "10.3390/f8010025",
language = "English",
volume = "8",
journal = "Forests",
issn = "1999-4907",
publisher = "M D P I AG",
number = "1",

}

RIS

TY - JOUR

T1 - Using fractal analysis in modeling the dynamics of forest areas and economic impact assessment

T2 - Maramureș County, Romania, as a case study

AU - Pintilii, Radu Daniel

AU - Andronache, Ion

AU - Diaconu, Daniel Constantin

AU - Dobrea, Răzvan Cătălin

AU - Zeleňáková, Martina

AU - Fensholt, Rasmus

AU - Peptenatu, Daniel

AU - Drăghici, Cristian Constantin

AU - Ciobotaru, Ana Maria

PY - 2017

Y1 - 2017

N2 - This study uses fractal analysis to quantify the spatial changes of forest resources caused by an increase of deforested areas. The method introduced contributes to the evaluation of forest resources being under significant pressure from anthropogenic activities. The pressure on the forest resources has been analyzed for Maramures, County, one of the most deforested counties in Romania. In order to evaluate this, the deforested areas were calculated for the period of 2001-2014, by using the Global Forest Change 2000-2014 database. The Fractal Fragmentation Index (FFI) and Fixed Grid 2D Lacunarity (FG2DL) were used to quantify the degree of fragmentation and dispersion of the forested areas, and thereby the extent to which a forest area is affected by deforestation. The process of quantifying the pressure on forested areas included the creation of a database for the period of 2000-2014 containing economic activities (turnover) related to woody recourses, important indicators of forest exploitation. Taken together, the results obtained indicate a dramatic increase in deforested areas (over 19,122 ha in total for the period of analysis), in Maramures, County.

AB - This study uses fractal analysis to quantify the spatial changes of forest resources caused by an increase of deforested areas. The method introduced contributes to the evaluation of forest resources being under significant pressure from anthropogenic activities. The pressure on the forest resources has been analyzed for Maramures, County, one of the most deforested counties in Romania. In order to evaluate this, the deforested areas were calculated for the period of 2001-2014, by using the Global Forest Change 2000-2014 database. The Fractal Fragmentation Index (FFI) and Fixed Grid 2D Lacunarity (FG2DL) were used to quantify the degree of fragmentation and dispersion of the forested areas, and thereby the extent to which a forest area is affected by deforestation. The process of quantifying the pressure on forested areas included the creation of a database for the period of 2000-2014 containing economic activities (turnover) related to woody recourses, important indicators of forest exploitation. Taken together, the results obtained indicate a dramatic increase in deforested areas (over 19,122 ha in total for the period of analysis), in Maramures, County.

KW - Deforested areas

KW - Economic pressure

KW - Forest resources

KW - Fractal analysis

KW - Lacunarity

KW - Territorial management

U2 - 10.3390/f8010025

DO - 10.3390/f8010025

M3 - Journal article

AN - SCOPUS:85011308795

VL - 8

JO - Forests

JF - Forests

SN - 1999-4907

IS - 1

M1 - 25

ER -

ID: 174467794