COMBINING SATELLITE AND GIS DATA TO ANALYZE CHANGES IN TROPICAL FORESTS ON CENTRAL HAINAN ISLAND IN RESPONSE TO THE NATIONAL LOGGING BAN AND ECONOMIC DEVELOPMENT
文献类型：期刊论文
| 作者 | Wang, Shudong3; Ji, Yuhe2; Ouyang, Zhiyun3; Zhang, Lifu; Jia, Liu |
| 刊名 | FRESENIUS ENVIRONMENTAL BULLETIN
 |
| 出版日期 | 2015 |
| 卷号 | 24期号:1B页码:394-404 |
| ISSN号 | 1018-4619 |
| 关键词 | Forest management GIS impact factor multiple forests transition object oriented decision tree technique remote sensing |
| 文献子类 | Article |
| 英文摘要 | Changes in natural forest cover in tropical areas have attracted international attention. Rubber and pulp plantations threaten Hainan Island's natural tropical forests. Remote sensing provides a crucial tool for understanding how forests change in response to forest protection strategies and economic development. China's government has adopted protective measures designed to balance forest protection and economic development on Hainan; however, the effect of both management and economic development on natural tropical forest remains unclear. To identify changes in forest types, object-oriented decision-tree identification techniques were developed using Landsat TM images to identify causes of forest change. GIS techniques allowed analysis of the forest's spatial shift using elevation, slope, transportation corridors, natural reserves, and farmlands linked to three different periods of forestry policy and economic development from 1988 to 2008. The analysis shows: (1) Total tropical forest area increased from 1988 to 2008, while natural tropical forest area increased slightly from 1988 to 1998, but decreased significantly from 1998 to 2008, despite implementation of the Natural Forest Protection Project. Meanwhile, economic forests, mainly rubber and pulp plantations, expanded from 1988 to 2008. (2) Spatial changes occurred. Natural tropical forest shifted from the lower piedmont to higher mountaintops, and economic forests shifted to higher elevations under the complex effects of multiple factors. (3) The observed changes in forest cover could be related to protective measures and economic development, with economic development seemingly having the strongest influence on the condition of the forests. Elevation, slope, transportation corridors, and farmlands also affected the shift of tropical forests. |
| 学科主题 | Environmental Sciences |
| 电子版国际标准刊号 | 1610-2304 |
| 出版地 | FREISING |
| WOS关键词 | CHINA ; LAND ; POLICIES |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| 出版者 | PARLAR SCIENTIFIC PUBLICATIONS (P S P) |
| WOS记录号 | WOS:000351332500017 |
| 资助机构 | National High Technology Research Development Plan [2012AA12A309] ; National Natural Science Foundation of China [41371359] ; Education Department of Shaanxi Province Special Research Project [12JK0484] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/25795]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 2.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Shudong,Ji, Yuhe,Ouyang, Zhiyun,et al. COMBINING SATELLITE AND GIS DATA TO ANALYZE CHANGES IN TROPICAL FORESTS ON CENTRAL HAINAN ISLAND IN RESPONSE TO THE NATIONAL LOGGING BAN AND ECONOMIC DEVELOPMENT[J]. FRESENIUS ENVIRONMENTAL BULLETIN,2015,24(1B):394-404. |
| APA | Wang, Shudong,Ji, Yuhe,Ouyang, Zhiyun,Zhang, Lifu,&Jia, Liu.(2015).COMBINING SATELLITE AND GIS DATA TO ANALYZE CHANGES IN TROPICAL FORESTS ON CENTRAL HAINAN ISLAND IN RESPONSE TO THE NATIONAL LOGGING BAN AND ECONOMIC DEVELOPMENT.FRESENIUS ENVIRONMENTAL BULLETIN,24(1B),394-404. |
| MLA | Wang, Shudong,et al."COMBINING SATELLITE AND GIS DATA TO ANALYZE CHANGES IN TROPICAL FORESTS ON CENTRAL HAINAN ISLAND IN RESPONSE TO THE NATIONAL LOGGING BAN AND ECONOMIC DEVELOPMENT".FRESENIUS ENVIRONMENTAL BULLETIN 24.1B(2015):394-404. |
入库方式： OAI收割
来源：植物研究所
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