Spatial Heterogeneity in Chinese Forest Area Change in the Early 21st Century

A comprehensive set of 30-m resolution land coverage data of 2000 and 2010 was used for an analysis of the spatial heterogeneity of forest area change in early 21st century China. Four regression models were built to determine the current situation of the ‘forest transition’ in China. The results sh...

Full description

Bibliographic Details
Main Authors: Jiayue Wang, Liangjie Xin, Minghong Tan, Yahui Wang
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Forests
Subjects:
Online Access:http://www.mdpi.com/1999-4907/7/10/232
id doaj-ce5f47b1e1ac475a8de8b03932250d43
record_format Article
spelling doaj-ce5f47b1e1ac475a8de8b03932250d432020-11-24T21:10:29ZengMDPI AGForests1999-49072016-10-0171023210.3390/f7100232f7100232Spatial Heterogeneity in Chinese Forest Area Change in the Early 21st CenturyJiayue Wang0Liangjie Xin1Minghong Tan2Yahui Wang3Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaA comprehensive set of 30-m resolution land coverage data of 2000 and 2010 was used for an analysis of the spatial heterogeneity of forest area change in early 21st century China. Four regression models were built to determine the current situation of the ‘forest transition’ in China. The results show that forest area in China has grown rapidly over this period such that total forest area has increased by 102,500 km2 and forest cover has increased by 1.06%. Our results demonstrate the presence of a ‘U-shaped’ relationship, the so-called ‘forest transition’, between forest area change and per capita gross domestic product (GDP). We estimate that the inflection point in the Chinese ‘forest transition’ will be at a per capita GDP of 50,522 yuan. In the future, regions with lower elevations, or slope, should be the focus of attention because of dramatic recent forest changes. In particular, forest areas in the regions of the Xiaoxing’anling-Changbaishan Mountains and in South China have markedly decreased, and these are areas of concern. In the meantime, the government needs to strengthen the management of large-scale interconversions between forest and grassland.http://www.mdpi.com/1999-4907/7/10/232forest area changeearly 21st centuryChinaforest transition
collection DOAJ
language English
format Article
sources DOAJ
author Jiayue Wang
Liangjie Xin
Minghong Tan
Yahui Wang
spellingShingle Jiayue Wang
Liangjie Xin
Minghong Tan
Yahui Wang
Spatial Heterogeneity in Chinese Forest Area Change in the Early 21st Century
Forests
forest area change
early 21st century
China
forest transition
author_facet Jiayue Wang
Liangjie Xin
Minghong Tan
Yahui Wang
author_sort Jiayue Wang
title Spatial Heterogeneity in Chinese Forest Area Change in the Early 21st Century
title_short Spatial Heterogeneity in Chinese Forest Area Change in the Early 21st Century
title_full Spatial Heterogeneity in Chinese Forest Area Change in the Early 21st Century
title_fullStr Spatial Heterogeneity in Chinese Forest Area Change in the Early 21st Century
title_full_unstemmed Spatial Heterogeneity in Chinese Forest Area Change in the Early 21st Century
title_sort spatial heterogeneity in chinese forest area change in the early 21st century
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2016-10-01
description A comprehensive set of 30-m resolution land coverage data of 2000 and 2010 was used for an analysis of the spatial heterogeneity of forest area change in early 21st century China. Four regression models were built to determine the current situation of the ‘forest transition’ in China. The results show that forest area in China has grown rapidly over this period such that total forest area has increased by 102,500 km2 and forest cover has increased by 1.06%. Our results demonstrate the presence of a ‘U-shaped’ relationship, the so-called ‘forest transition’, between forest area change and per capita gross domestic product (GDP). We estimate that the inflection point in the Chinese ‘forest transition’ will be at a per capita GDP of 50,522 yuan. In the future, regions with lower elevations, or slope, should be the focus of attention because of dramatic recent forest changes. In particular, forest areas in the regions of the Xiaoxing’anling-Changbaishan Mountains and in South China have markedly decreased, and these are areas of concern. In the meantime, the government needs to strengthen the management of large-scale interconversions between forest and grassland.
topic forest area change
early 21st century
China
forest transition
url http://www.mdpi.com/1999-4907/7/10/232
work_keys_str_mv AT jiayuewang spatialheterogeneityinchineseforestareachangeintheearly21stcentury
AT liangjiexin spatialheterogeneityinchineseforestareachangeintheearly21stcentury
AT minghongtan spatialheterogeneityinchineseforestareachangeintheearly21stcentury
AT yahuiwang spatialheterogeneityinchineseforestareachangeintheearly21stcentury
_version_ 1716756397603946496