De(re)forestation and climate warming in subarctic China
文献类型：SCI/SSCI论文
| 作者 | Gao J. ; Liu Y. S. |
| 发表日期 | 2012 |
| 关键词 | Deforestation Climate warming Scale effect Remote sensing Heilongjiang land-use change tropical deforestation amazonian deforestation rondonia imagery system impact brazil model |
| 英文摘要 | Although tropical deforestation bears a close relationship with climate change, its exact contribution to climate warming and its threshold of exerting a noticeable influence remain unknown. This study attempts to bridge this knowledge gap by analyzing deforestation data of Heilongjiang Province, China in relation to climate data. It is found that forest cover was reduced from 238,335 km(2) in 1958 to 216,009 km(2) in 1980, and further to 207,629 km(2) in 2000. During this period the provincial annual temperature rose by 1.68 degrees C, against the nation-wide warming of 0.99 degrees C during the same period. At the provincial level the observed deforestation caused a warming in the vicinity of 0.69 degrees C. This warming does not bear any definite relationship with latitude and elevation. At the local scale, deforestation is related inversely to the rise in decadal temperature in the form of Delta T = -0.013 Delta F + 0.4114 (R(2) = 0.30). There is a positive relationship between the accuracy (R(2) value) of predicting climate warming from deforestation and its severity. The critical threshold for deforestation to exert a noticeable impact on climate warming (e.g., R(2) = 50%) appears to be 5 km(2). The amount of forest cover at the beginning of a period can inhibit temperature rise, but its exact effect on climate warming is difficult to quantify. (C) 2011 Elsevier Ltd. All rights reserved. |
| 出处 | Applied Geography |
| 卷 | 32 |
| 期 | 2 |
| 页 | 281-290 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0143-6228 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/26937]  |
| 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.. De(re)forestation and climate warming in subarctic China. 2012. |
入库方式： OAI收割
来源：地理科学与资源研究所
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