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 st...
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doaj-f28efeba1aeb48ffbb10a4de3912ee372020-11-25T01:25:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-011310e020588510.1371/journal.pone.0205885NDVI-derived forest area change and its driving factors in China.Lizhuang LiangFeng ChenLei ShiShukui NiuChina 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 3rd, 4th, 5th, and 6th 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.http://europepmc.org/articles/PMC6192655?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lizhuang Liang Feng Chen Lei Shi Shukui Niu |
spellingShingle |
Lizhuang Liang Feng Chen Lei Shi Shukui Niu NDVI-derived forest area change and its driving factors in China. PLoS ONE |
author_facet |
Lizhuang Liang Feng Chen Lei Shi Shukui Niu |
author_sort |
Lizhuang Liang |
title |
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_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_sort |
ndvi-derived forest area change and its driving factors in china. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2018-01-01 |
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 3rd, 4th, 5th, and 6th 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. |
url |
http://europepmc.org/articles/PMC6192655?pdf=render |
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