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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doaj-7c6ebf4e228a4ceabd975a6ccac8b5682020-11-24T22:29:04ZengMDPI AGForests1999-49072014-10-015102542256010.3390/f5102542f5102542Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic ChinaYunjun Yao0Shunlin Liang1Jie Cheng2Yi Lin3Kun Jia4Meng Liu5State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, No.19 Xinjiekou Street, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, No.19 Xinjiekou Street, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, No.19 Xinjiekou Street, Beijing 100875, ChinaInstitute of Remote Sensing and GIS, Peking University, No.5 Yiheyuan Road, Beijing 100871, ChinaState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, No.19 Xinjiekou Street, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, No.19 Xinjiekou Street, Beijing 100875, ChinaAlthough 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 = 0.0377∆F – 2.11 (R2 = 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 Niño/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://www.mdpi.com/1999-4907/5/10/2542deforestationevapotranspirationsubarctic Chinaclimate variability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yunjun Yao Shunlin Liang Jie Cheng Yi Lin Kun Jia Meng Liu |
spellingShingle |
Yunjun Yao Shunlin Liang Jie Cheng Yi Lin Kun Jia Meng Liu Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic China Forests deforestation evapotranspiration subarctic China climate variability |
author_facet |
Yunjun Yao Shunlin Liang Jie Cheng Yi Lin Kun Jia Meng Liu |
author_sort |
Yunjun Yao |
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 |
MDPI AG |
series |
Forests |
issn |
1999-4907 |
publishDate |
2014-10-01 |
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 = 0.0377∆F – 2.11 (R2 = 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 Niño/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. |
topic |
deforestation evapotranspiration subarctic China climate variability |
url |
http://www.mdpi.com/1999-4907/5/10/2542 |
work_keys_str_mv |
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