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Dynamics of Forest Fragmentation and Connectivity Using Particle and Fractal Analysis
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 h...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706383/ https://www.ncbi.nlm.nih.gov/pubmed/31439903 http://dx.doi.org/10.1038/s41598-019-48277-z |
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author | 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 |
author_facet | 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 |
author_sort | Andronache, Ion |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6706383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67063832019-09-08 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 Sci Rep Article 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. Nature Publishing Group UK 2019-08-22 /pmc/articles/PMC6706383/ /pubmed/31439903 http://dx.doi.org/10.1038/s41598-019-48277-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article 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 |
title | Dynamics of Forest Fragmentation and Connectivity Using Particle and Fractal Analysis |
title_full | Dynamics of Forest Fragmentation and Connectivity Using Particle and Fractal Analysis |
title_fullStr | Dynamics of Forest Fragmentation and Connectivity Using Particle and Fractal Analysis |
title_full_unstemmed | Dynamics of Forest Fragmentation and Connectivity Using Particle and Fractal Analysis |
title_short | Dynamics of Forest Fragmentation and Connectivity Using Particle and Fractal Analysis |
title_sort | dynamics of forest fragmentation and connectivity using particle and fractal analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706383/ https://www.ncbi.nlm.nih.gov/pubmed/31439903 http://dx.doi.org/10.1038/s41598-019-48277-z |
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