College of Forestry, Beijing Forestry University, Beijing, China.
State Forestry Administration Key Laboratory for Science & Technology of Bamboo & Rattan, International Center for Bamboo and Rattan, Beijing, China.
PLoS One. 2018 Oct 17;13(10):e0205885. doi: 10.1371/journal.pone.0205885. eCollection 2018.
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.
中国拥有从热带雨林到北方针叶林的多种森林类型,并在过去几十年中实施了大规模的造林/绿化计划。然而,关于中国森林面积的变化及其原因的信息却很少。在本研究中,我们使用归一化植被指数(NDVI)数据集衍生的分类森林分布图和修订后的 IPAT 模型,研究了 1982 年至 2006 年中国森林面积的变化及其可能的驱动因素。总的来说,NDVI 衍生的森林面积与第三次、第四次、第五次和第六次全国森林清查报告的森林面积在数值上是一致的。在过去的 25 年中,中国的森林面积估计平均每年增加 1691.8 万公顷(每年净增约 360 万公顷),相当于相对年变化率的 0.089%。然而,在省级水平上,森林面积的变化率和方向存在很大差异;例如,10 个省份的森林面积减少,主要集中在中国的东北和南方,而 21 个省份的森林面积则有所增加。这种变化很可能归因于木材进出口和富裕程度(人均国内生产总值)的政策,这两者对修订后的 IPAT 模型的六个因素的总贡献都超过了 80%。