Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic China
Although deforestation affects hydrological and climatic variables over tropical regions, its actual contributions to changes in evapotranspiration (ET) over subarctic China remain unknown. To establish a quantitative relationship between deforestation and terrestrial ET variations, we estimated ET...
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Online Access: | https://hdl.handle.net/20.500.11897/388049 https://doi.org/10.3390/f5102542 |
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ftpekinguniv:oai:localhost:20.500.11897/388049 2023-05-15T18:28:07+02:00 Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic China Yao, Yunjun Liang, Shunlin Cheng, Jie Lin, Yi Jia, Kun Liu, Meng Yao, YJ (reprint author), Beijing Normal Univ, State Key Lab Remote Sensing Sci, Coll Global Change & Earth Syst Sci, 19 Xinjiekou St, Beijing 100875, Peoples R China. Beijing Normal Univ, State Key Lab Remote Sensing Sci, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China. Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA. Peking Univ, Inst Remote Sensing & GIS, Beijing 100871, Peoples R China. Beijing Normal Univ, State Key Lab Remote Sensing Sci, Coll Global Change & Earth Syst Sci, 19 Xinjiekou St, Beijing 100875, Peoples R China. 2014 https://hdl.handle.net/20.500.11897/388049 https://doi.org/10.3390/f5102542 en eng forests FORESTS.2014,5,(10),2542-2560. 760477 1999-4907 http://hdl.handle.net/20.500.11897/388049 doi:10.3390/f5102542 WOS:000344352900008 SCI EI deforestation evapotranspiration subarctic China climate variability PRIESTLEY-TAYLOR ALGORITHM ATMOSPHERE WATER FLUX LATENT-HEAT FLUX AMAZON DEFORESTATION EDDY-COVARIANCE EVAPORATION MODIS TRENDS SCALE VALIDATION Journal 2014 ftpekinguniv https://doi.org/20.500.11897/388049 https://doi.org/10.3390/f5102542 2021-08-01T10:17:00Z Although deforestation affects hydrological and climatic variables over tropical regions, its actual contributions to changes in evapotranspiration (ET) over subarctic China remain unknown. To establish a quantitative relationship between deforestation and terrestrial ET variations, we estimated ET using a semi-empirical Penman (SEMI-PM) algorithm driven by meteorological and satellite data at both local and regional scales. The results indicate that the estimated ET can be used to analyse the observed inter-annual variations. There is a statistically significant positive relationship between local-scale forest cover changes (F) and annual ET variations (ET) of the following form: ET = 0.0377F - 2.11 (R-2 = 0.43, p < 0.05). This relationship may be due to deforestation-induced increases in surface albedo and a reduction in the fractional vegetation cover (FVC). However, the El Nino/Southern Oscillation (ENSO), rather than deforestation, dominates the multi-decadal ET variability due to regional-scale wind speed changes, but the exact effects of deforestation and ENSO on ET are challenging to quantify. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000344352900008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 Forestry SCI(E) EI 0 ARTICLE yaoyunjun@bnu.edu.cn; sliang@umd.edu; brucechan2003@126.com; yi.lin@pku.edu.cn; jiakun@bnu.edu.cn; xinyin_liumeng@163.com 10 2542-2560 5 Journal/Newspaper Subarctic Peking University Institutional Repository (PKU IR) Priestley ENVELOPE(161.883,161.883,-75.183,-75.183) Forests 5 10 2542 2560 |
institution |
Open Polar |
collection |
Peking University Institutional Repository (PKU IR) |
op_collection_id |
ftpekinguniv |
language |
English |
topic |
deforestation evapotranspiration subarctic China climate variability PRIESTLEY-TAYLOR ALGORITHM ATMOSPHERE WATER FLUX LATENT-HEAT FLUX AMAZON DEFORESTATION EDDY-COVARIANCE EVAPORATION MODIS TRENDS SCALE VALIDATION |
spellingShingle |
deforestation evapotranspiration subarctic China climate variability PRIESTLEY-TAYLOR ALGORITHM ATMOSPHERE WATER FLUX LATENT-HEAT FLUX AMAZON DEFORESTATION EDDY-COVARIANCE EVAPORATION MODIS TRENDS SCALE VALIDATION Yao, Yunjun Liang, Shunlin Cheng, Jie Lin, Yi Jia, Kun Liu, Meng Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic China |
topic_facet |
deforestation evapotranspiration subarctic China climate variability PRIESTLEY-TAYLOR ALGORITHM ATMOSPHERE WATER FLUX LATENT-HEAT FLUX AMAZON DEFORESTATION EDDY-COVARIANCE EVAPORATION MODIS TRENDS SCALE VALIDATION |
description |
Although deforestation affects hydrological and climatic variables over tropical regions, its actual contributions to changes in evapotranspiration (ET) over subarctic China remain unknown. To establish a quantitative relationship between deforestation and terrestrial ET variations, we estimated ET using a semi-empirical Penman (SEMI-PM) algorithm driven by meteorological and satellite data at both local and regional scales. The results indicate that the estimated ET can be used to analyse the observed inter-annual variations. There is a statistically significant positive relationship between local-scale forest cover changes (F) and annual ET variations (ET) of the following form: ET = 0.0377F - 2.11 (R-2 = 0.43, p < 0.05). This relationship may be due to deforestation-induced increases in surface albedo and a reduction in the fractional vegetation cover (FVC). However, the El Nino/Southern Oscillation (ENSO), rather than deforestation, dominates the multi-decadal ET variability due to regional-scale wind speed changes, but the exact effects of deforestation and ENSO on ET are challenging to quantify. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000344352900008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 Forestry SCI(E) EI 0 ARTICLE yaoyunjun@bnu.edu.cn; sliang@umd.edu; brucechan2003@126.com; yi.lin@pku.edu.cn; jiakun@bnu.edu.cn; xinyin_liumeng@163.com 10 2542-2560 5 |
author2 |
Yao, YJ (reprint author), Beijing Normal Univ, State Key Lab Remote Sensing Sci, Coll Global Change & Earth Syst Sci, 19 Xinjiekou St, Beijing 100875, Peoples R China. Beijing Normal Univ, State Key Lab Remote Sensing Sci, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China. Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA. Peking Univ, Inst Remote Sensing & GIS, Beijing 100871, Peoples R China. Beijing Normal Univ, State Key Lab Remote Sensing Sci, Coll Global Change & Earth Syst Sci, 19 Xinjiekou St, Beijing 100875, Peoples R China. |
format |
Journal/Newspaper |
author |
Yao, Yunjun Liang, Shunlin Cheng, Jie Lin, Yi Jia, Kun Liu, Meng |
author_facet |
Yao, Yunjun Liang, Shunlin Cheng, Jie Lin, Yi Jia, Kun Liu, Meng |
author_sort |
Yao, Yunjun |
title |
Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic China |
title_short |
Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic China |
title_full |
Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic China |
title_fullStr |
Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic China |
title_full_unstemmed |
Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic China |
title_sort |
impacts of deforestation and climate variability on terrestrial evapotranspiration in subarctic china |
publisher |
forests |
publishDate |
2014 |
url |
https://hdl.handle.net/20.500.11897/388049 https://doi.org/10.3390/f5102542 |
long_lat |
ENVELOPE(161.883,161.883,-75.183,-75.183) |
geographic |
Priestley |
geographic_facet |
Priestley |
genre |
Subarctic |
genre_facet |
Subarctic |
op_source |
SCI EI |
op_relation |
FORESTS.2014,5,(10),2542-2560. 760477 1999-4907 http://hdl.handle.net/20.500.11897/388049 doi:10.3390/f5102542 WOS:000344352900008 |
op_doi |
https://doi.org/20.500.11897/388049 https://doi.org/10.3390/f5102542 |
container_title |
Forests |
container_volume |
5 |
container_issue |
10 |
container_start_page |
2542 |
op_container_end_page |
2560 |
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1766210470976421888 |