De(re)forestation and climate warming in subarctic China
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, Ch...
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ftunivauckland:oai:researchspace.auckland.ac.nz:2292/14298 2023-05-15T18:28:27+02:00 De(re)forestation and climate warming in subarctic China Gao, J Liu, Y 2012 http://hdl.handle.net/2292/14298 https://doi.org/10.1016/j.apgeog.2011.04.002 unknown Elsevier Applied Geography Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0143-6228/ https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm Copyright: Elsevier Ltd. http://purl.org/eprint/accessRights/RestrictedAccess http://dx.doi.org/10.1016/j.apgeog.2011.04.002 Journal Article 2012 ftunivauckland https://doi.org/10.1016/j.apgeog.2011.04.002 2013-12-07T09:19:44Z 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 °C, against the nation-wide warming of 0.99 °C during the same period. At the provincial level the observed deforestation caused a warming in the vicinity of 0.69 °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 ΔT = −0.013ΔF + 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. Article in Journal/Newspaper Subarctic University of Auckland Research Repository - ResearchSpace Applied Geography 32 2 281 290 |
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University of Auckland Research Repository - ResearchSpace |
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ftunivauckland |
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description |
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 °C, against the nation-wide warming of 0.99 °C during the same period. At the provincial level the observed deforestation caused a warming in the vicinity of 0.69 °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 ΔT = −0.013ΔF + 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. |
format |
Article in Journal/Newspaper |
author |
Gao, J Liu, Y |
spellingShingle |
Gao, J Liu, Y De(re)forestation and climate warming in subarctic China |
author_facet |
Gao, J Liu, Y |
author_sort |
Gao, J |
title |
De(re)forestation and climate warming in subarctic China |
title_short |
De(re)forestation and climate warming in subarctic China |
title_full |
De(re)forestation and climate warming in subarctic China |
title_fullStr |
De(re)forestation and climate warming in subarctic China |
title_full_unstemmed |
De(re)forestation and climate warming in subarctic China |
title_sort |
de(re)forestation and climate warming in subarctic china |
publisher |
Elsevier |
publishDate |
2012 |
url |
http://hdl.handle.net/2292/14298 https://doi.org/10.1016/j.apgeog.2011.04.002 |
genre |
Subarctic |
genre_facet |
Subarctic |
op_source |
http://dx.doi.org/10.1016/j.apgeog.2011.04.002 |
op_relation |
Applied Geography |
op_rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0143-6228/ https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm Copyright: Elsevier Ltd. http://purl.org/eprint/accessRights/RestrictedAccess |
op_doi |
https://doi.org/10.1016/j.apgeog.2011.04.002 |
container_title |
Applied Geography |
container_volume |
32 |
container_issue |
2 |
container_start_page |
281 |
op_container_end_page |
290 |
_version_ |
1766210941421092864 |