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Drought-Induced Carbon and Water Use Efficiency Responses in Dryland Vegetation of Northern China

Given the context of global warming and the increasing frequency of extreme climate events, concerns have been raised by scientists, government, and the public regarding drought occurrence and its impacts, particularly in arid and semi-arid regions. In this paper, the drought conditions for the fore...

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Autores principales: Gang, Chengcheng, Zhang, Yi, Guo, Liang, Gao, Xuerui, Peng, Shouzhang, Chen, Mingxun, Wen, Zhongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400040/
https://www.ncbi.nlm.nih.gov/pubmed/30863421
http://dx.doi.org/10.3389/fpls.2019.00224
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author Gang, Chengcheng
Zhang, Yi
Guo, Liang
Gao, Xuerui
Peng, Shouzhang
Chen, Mingxun
Wen, Zhongming
author_facet Gang, Chengcheng
Zhang, Yi
Guo, Liang
Gao, Xuerui
Peng, Shouzhang
Chen, Mingxun
Wen, Zhongming
author_sort Gang, Chengcheng
collection PubMed
description Given the context of global warming and the increasing frequency of extreme climate events, concerns have been raised by scientists, government, and the public regarding drought occurrence and its impacts, particularly in arid and semi-arid regions. In this paper, the drought conditions for the forest and grassland areas in the northern region of China were identified based on 12 years of satellite-based Drought Severity Index (DSI) data. The impact of drought on dryland vegetation in terms of carbon use efficiency (CUE) and water use efficiency (WUE) were also investigated by exploring their correlations with DSI. Results indicated that 49.90% of forest and grassland experienced a dry trend over this period. The most severe drought occurred in 2001. In general, most forests in the study regions experienced near normal and wet conditions during the 12 year period. However, grasslands experienced a widespread drought after 2006. The forest CUE values showed a fluctuation increase from 2000 to 2011, whereas the grassland CUE remained steady over this period. In contrast, WUE increased in both forest and grassland areas due to the increasing net primary productivity (NPP) and descending evapotranspiration (ET). The CUE and WUE values of forest areas were more sensitive to droughts when compared to the values for grassland areas. The correlation analysis demonstrated that areas of DSI that showed significant correlations with CUE and WUE were 17.24 and 10.37% of the vegetated areas, respectively. Overall, the carbon and water use of dryland forests was more affected by drought than that of dryland grasslands.
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spelling pubmed-64000402019-03-12 Drought-Induced Carbon and Water Use Efficiency Responses in Dryland Vegetation of Northern China Gang, Chengcheng Zhang, Yi Guo, Liang Gao, Xuerui Peng, Shouzhang Chen, Mingxun Wen, Zhongming Front Plant Sci Plant Science Given the context of global warming and the increasing frequency of extreme climate events, concerns have been raised by scientists, government, and the public regarding drought occurrence and its impacts, particularly in arid and semi-arid regions. In this paper, the drought conditions for the forest and grassland areas in the northern region of China were identified based on 12 years of satellite-based Drought Severity Index (DSI) data. The impact of drought on dryland vegetation in terms of carbon use efficiency (CUE) and water use efficiency (WUE) were also investigated by exploring their correlations with DSI. Results indicated that 49.90% of forest and grassland experienced a dry trend over this period. The most severe drought occurred in 2001. In general, most forests in the study regions experienced near normal and wet conditions during the 12 year period. However, grasslands experienced a widespread drought after 2006. The forest CUE values showed a fluctuation increase from 2000 to 2011, whereas the grassland CUE remained steady over this period. In contrast, WUE increased in both forest and grassland areas due to the increasing net primary productivity (NPP) and descending evapotranspiration (ET). The CUE and WUE values of forest areas were more sensitive to droughts when compared to the values for grassland areas. The correlation analysis demonstrated that areas of DSI that showed significant correlations with CUE and WUE were 17.24 and 10.37% of the vegetated areas, respectively. Overall, the carbon and water use of dryland forests was more affected by drought than that of dryland grasslands. Frontiers Media S.A. 2019-02-26 /pmc/articles/PMC6400040/ /pubmed/30863421 http://dx.doi.org/10.3389/fpls.2019.00224 Text en Copyright © 2019 Gang, Zhang, Guo, Gao, Peng, Chen and Wen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Gang, Chengcheng
Zhang, Yi
Guo, Liang
Gao, Xuerui
Peng, Shouzhang
Chen, Mingxun
Wen, Zhongming
Drought-Induced Carbon and Water Use Efficiency Responses in Dryland Vegetation of Northern China
title Drought-Induced Carbon and Water Use Efficiency Responses in Dryland Vegetation of Northern China
title_full Drought-Induced Carbon and Water Use Efficiency Responses in Dryland Vegetation of Northern China
title_fullStr Drought-Induced Carbon and Water Use Efficiency Responses in Dryland Vegetation of Northern China
title_full_unstemmed Drought-Induced Carbon and Water Use Efficiency Responses in Dryland Vegetation of Northern China
title_short Drought-Induced Carbon and Water Use Efficiency Responses in Dryland Vegetation of Northern China
title_sort drought-induced carbon and water use efficiency responses in dryland vegetation of northern china
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400040/
https://www.ncbi.nlm.nih.gov/pubmed/30863421
http://dx.doi.org/10.3389/fpls.2019.00224
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