Quantitative assessments of water-use efficiency in Temperate Eurasian Steppe along an aridity gradient
Abstract
Water-use efficiency (WUE), defined as the ratio of net primary productivity (NPP) to evapotranspiration (ET), is an important indicator to represent the trade-off pattern between vegetation productivity and water consumption. Its dynamics under climate change are important to ecohydrology and ecosystem management, especially in the drylands. In this study, we modified and used a late version of Boreal Ecosystem Productivity Simulator (BEPS), to quantify the WUE in the typical dryland ecosystems, Temperate Eurasian Steppe (TES). The Aridity Index (AI) was used to specify the terrestrial water availability condition. The regional results showed that during the period of 1999–2008, the WUE has a clear decreasing trend in the spatial distribution from arid to humid areas. The highest annual average WUE was in dry and semi-humid sub-region (DSH) with 0.88 gC mm-1 and the lowest was in arid sub-region (AR) with 0.22 gC mm-1. A two-stage pattern of WUE was found in TES. That is, WUE would enhance with lower aridity stress, but decline under the humid environment. Over 65% of the region exhibited increasing WUE. This enhancement, however, could not indicate that the grasslands were getting better because the NPP even slightly decreased. It was mainly attributed to the reduction ofmore »
- Authors:
-
- Nanjing Univ. (China). College of Biology and Environment. Joint Innovation Center for Modern Forestry Studies; Nanjing Univ. (China). School of Life Science
- Nanjing Univ. (China). School of Life Science
- Nanjing Univ. (China). International Inst. for Earth Systems Sciences
- Nanjing Univ. (China). College of Biology and Environment. Joint Innovation Center for Modern Forestry Studies
- Chinese Academy of Agricultural Sciences, Beijing (China). Inst. of Agro-Resources and Regional Planning
- Nanjing Univ. (China).Dept. of Atmospheric Sciences
- Nanjing Univ. (China).Dept. of Ecology
- Univ. of Sydney, NSW (Australia). Faculty of Agriculture and Environment
- Georg-August Univ. Gottingen (Germany). Inst. of Geography; Georg-August Univ. Gottingen (Germany). Busgen-Inst. Dept. of Bioclimatology
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division
- OSTI Identifier:
- 1627830
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- PLoS ONE
- Additional Journal Information:
- Journal Volume: 12; Journal Issue: 7; Journal ID: ISSN 1932-6203
- Publisher:
- Public Library of Science
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Science & Technology - Other Topics
Citation Formats
Chen, Yizhao, Li, Jianlong, Ju, Weimin, Ruan, Honghua, Qin, Zhihao, Huang, Yiye, Jeelani, Nasreen, Padarian, José, and Propastin, Pavel. Quantitative assessments of water-use efficiency in Temperate Eurasian Steppe along an aridity gradient. United States: N. p., 2017.
Web. doi:10.1371/journal.pone.0179875.
Chen, Yizhao, Li, Jianlong, Ju, Weimin, Ruan, Honghua, Qin, Zhihao, Huang, Yiye, Jeelani, Nasreen, Padarian, José, & Propastin, Pavel. Quantitative assessments of water-use efficiency in Temperate Eurasian Steppe along an aridity gradient. United States. https://doi.org/10.1371/journal.pone.0179875
Chen, Yizhao, Li, Jianlong, Ju, Weimin, Ruan, Honghua, Qin, Zhihao, Huang, Yiye, Jeelani, Nasreen, Padarian, José, and Propastin, Pavel. Fri .
"Quantitative assessments of water-use efficiency in Temperate Eurasian Steppe along an aridity gradient". United States. https://doi.org/10.1371/journal.pone.0179875. https://www.osti.gov/servlets/purl/1627830.
@article{osti_1627830,
title = {Quantitative assessments of water-use efficiency in Temperate Eurasian Steppe along an aridity gradient},
author = {Chen, Yizhao and Li, Jianlong and Ju, Weimin and Ruan, Honghua and Qin, Zhihao and Huang, Yiye and Jeelani, Nasreen and Padarian, José and Propastin, Pavel},
abstractNote = {Water-use efficiency (WUE), defined as the ratio of net primary productivity (NPP) to evapotranspiration (ET), is an important indicator to represent the trade-off pattern between vegetation productivity and water consumption. Its dynamics under climate change are important to ecohydrology and ecosystem management, especially in the drylands. In this study, we modified and used a late version of Boreal Ecosystem Productivity Simulator (BEPS), to quantify the WUE in the typical dryland ecosystems, Temperate Eurasian Steppe (TES). The Aridity Index (AI) was used to specify the terrestrial water availability condition. The regional results showed that during the period of 1999–2008, the WUE has a clear decreasing trend in the spatial distribution from arid to humid areas. The highest annual average WUE was in dry and semi-humid sub-region (DSH) with 0.88 gC mm-1 and the lowest was in arid sub-region (AR) with 0.22 gC mm-1. A two-stage pattern of WUE was found in TES. That is, WUE would enhance with lower aridity stress, but decline under the humid environment. Over 65% of the region exhibited increasing WUE. This enhancement, however, could not indicate that the grasslands were getting better because the NPP even slightly decreased. It was mainly attributed to the reduction of ET over 70% of the region, which is closely related to the rainfall decrease. The results also suggested a similar negative spatial correlation between the WUE and the mean annual precipitation (MAP) at the driest and the most humid ends. This regional pattern reflected the different roles of water in regulating the terrestrial ecosystems under different aridity levels. This study could facilitate the understanding of the interactions between terrestrial carbon and water cycles, and thus contribute to a sustainable management of nature resources in the dryland ecosystems.},
doi = {10.1371/journal.pone.0179875},
journal = {PLoS ONE},
number = 7,
volume = 12,
place = {United States},
year = {Fri Jul 07 00:00:00 EDT 2017},
month = {Fri Jul 07 00:00:00 EDT 2017}
}
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