Deforestation in Heilongjiang Province of China, 1896-2000: Severity, spatiotemporal patterns and causes
文献类型:SCI/SSCI论文
作者 | Gao J. ; Liu Y. S. |
发表日期 | 2012 |
关键词 | Deforestation Change detection Spatiotemporal pattern Cause analysis Heilongjiang land-cover change remote-sensing data tropical deforestation satellite imagery forest egypt rates gis classification fragmentation |
英文摘要 | This study attempts to ascertain the spatiotemporal patterns of de(re)forestation and its causes in Heilongjiang Province, China during the last century. In 1896, there were 308,020 km(2) of forest covering 68% of the Province. Forest area was reduced to 247,256 km(2) by 1949 at an annual rate of 1146 km(2). By 1958 primary forest was reduced to 169,533 km(2) while secondary forest remained at 68,801 km2. Thus, 9421 km(2) of forest were logged at a rate of 1046 km(2) per annum. From 1958 to 1980, forest as a whole was reduced by 22,326 km(2) at an annual rate of 1014 km(2). The amount of deforestation was reduced to 9211 km(2) for dense forest, but sparse forest gained 831 km(2) during 1980-2000. The net decrease of 8379 km(2) represents an annual loss of 419 km(2). Spatially, deforested areas used to be extensive and expansive, but have become fragmented with thousands of patches that have a shrinking mean size. These deforested sites were located in low-lying flat terrains with a close proximity to rivers and roads. Such land was replaced primarily by farmland and secondarily by grassland. Therefore, the causes of deforestation are identified as demand for timber, population-driven land reclamation up to 1980, and urbanisation in the last two decades. (C) 2012 Elsevier Ltd. All rights reserved. |
出处 | Applied Geography |
卷 | 35 |
期 | 1-2 |
页 | 345-352 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 0143-6228 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/30876] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Gao J.,Liu Y. S.. Deforestation in Heilongjiang Province of China, 1896-2000: Severity, spatiotemporal patterns and causes. 2012. |
入库方式: OAI收割
来源:地理科学与资源研究所
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