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NDVI-derived forest area change and its driving factors in China
China harbors diversified forest types, from tropical rainforest to boreal coniferous forest, and has implemented large-scale reforestation/afforestation programs over the past several decades. However, little information is available on changes in China’s forest area and the causes. In this study,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192655/ https://www.ncbi.nlm.nih.gov/pubmed/30332483 http://dx.doi.org/10.1371/journal.pone.0205885 |
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author | Liang, Lizhuang Chen, Feng Shi, Lei Niu, Shukui |
author_facet | Liang, Lizhuang Chen, Feng Shi, Lei Niu, Shukui |
author_sort | Liang, Lizhuang |
collection | PubMed |
description | China harbors diversified forest types, from tropical rainforest to boreal coniferous forest, and has implemented large-scale reforestation/afforestation programs over the past several decades. However, little information is available on changes in China’s forest area and the causes. In this study, we used the classified forest distribution thematic map derived from Normalized Difference Vegetation Index (NDVI) datasets and a revised IPAT model to examine China’s forest area change and the possible driving factors from 1982 to 2006. Overall, NDVI-derived forest areas were numerically consistent with those reported in the 3(rd), 4(th), 5(th), and 6(th) National Forest Inventories, respectively. Over the past 25 years, China’s forest area was estimated to have an average of 169.18 million hectares with an annual increase of 0.15 million hectares (c.a. a total net increment of 3.60 million hectares), which is equivalent to 0.089% of the relative annual change rate. However, a large difference in the changing rate and direction of forest area at the province level was found; for instance, forest area has declined in 10 provinces, mainly in Northeastern and Southern China, while 21 provinces showed an increase. The changes were most likely attributed to the policy regarding the import and export of timber and affluence (per capita gross domestic product), and both contributed more than 80% of the total contribution of the six factors of the revised IPAT model. |
format | Online Article Text |
id | pubmed-6192655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61926552018-11-05 NDVI-derived forest area change and its driving factors in China Liang, Lizhuang Chen, Feng Shi, Lei Niu, Shukui PLoS One Research Article China harbors diversified forest types, from tropical rainforest to boreal coniferous forest, and has implemented large-scale reforestation/afforestation programs over the past several decades. However, little information is available on changes in China’s forest area and the causes. In this study, we used the classified forest distribution thematic map derived from Normalized Difference Vegetation Index (NDVI) datasets and a revised IPAT model to examine China’s forest area change and the possible driving factors from 1982 to 2006. Overall, NDVI-derived forest areas were numerically consistent with those reported in the 3(rd), 4(th), 5(th), and 6(th) National Forest Inventories, respectively. Over the past 25 years, China’s forest area was estimated to have an average of 169.18 million hectares with an annual increase of 0.15 million hectares (c.a. a total net increment of 3.60 million hectares), which is equivalent to 0.089% of the relative annual change rate. However, a large difference in the changing rate and direction of forest area at the province level was found; for instance, forest area has declined in 10 provinces, mainly in Northeastern and Southern China, while 21 provinces showed an increase. The changes were most likely attributed to the policy regarding the import and export of timber and affluence (per capita gross domestic product), and both contributed more than 80% of the total contribution of the six factors of the revised IPAT model. Public Library of Science 2018-10-17 /pmc/articles/PMC6192655/ /pubmed/30332483 http://dx.doi.org/10.1371/journal.pone.0205885 Text en © 2018 Liang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Liang, Lizhuang Chen, Feng Shi, Lei Niu, Shukui NDVI-derived forest area change and its driving factors in China |
title | NDVI-derived forest area change and its driving factors in China |
title_full | NDVI-derived forest area change and its driving factors in China |
title_fullStr | NDVI-derived forest area change and its driving factors in China |
title_full_unstemmed | NDVI-derived forest area change and its driving factors in China |
title_short | NDVI-derived forest area change and its driving factors in China |
title_sort | ndvi-derived forest area change and its driving factors in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192655/ https://www.ncbi.nlm.nih.gov/pubmed/30332483 http://dx.doi.org/10.1371/journal.pone.0205885 |
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