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为减轻青藏高原湿地温室气体排放的全球变暖潜能值而检测到的优化地下水位深度。

An optimized water table depth detected for mitigating global warming potential of greenhouse gas emissions in wetland of Qinghai-Tibetan Plateau.

作者信息

Zhang Jiang, Chen Huai, Wang Meng, Liu Xinwei, Peng Changhui, Wang Le, Yu Dongxue, Zhu Qiuan

机构信息

College of Geography and Remote Sensing, Hohai University, Nanjing 210098, China.

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

出版信息

iScience. 2024 Jan 11;27(2):108856. doi: 10.1016/j.isci.2024.108856. eCollection 2024 Feb 16.

DOI:10.1016/j.isci.2024.108856
PMID:38303693
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10830858/
Abstract

Climate change and human activities have intensified variations of water table depth (WTD) in wetlands around the world, which may strongly affect greenhouse gas emissions. Here, we analyzed how emissions of CO, CH, and NO from the Zoige wetland on the Qinghai-Tibetan Plateau (QTP) vary with the WTD. Our data indicate that the wetland shows net positive global warming potential (11.72 tCO-e ha yr), and its emissions of greenhouse gases are driven primarily by WTD. Our analysis suggests that an optimal WTD exists, which at our study site was approximately 18 cm, for mitigating increases in global warming potential from the wetland. Our study provides insights into how climate change and human acitivies affect greenhouse gas emissions from alpine wetlands, and they suggest that water table management may be effective at mitigating future increases in emissions.

摘要

气候变化和人类活动加剧了全球湿地地下水位深度(WTD)的变化,这可能会对温室气体排放产生强烈影响。在此,我们分析了青藏高原若尔盖湿地的一氧化碳(CO)、甲烷(CH)和一氧化氮(NO)排放如何随地下水位深度变化。我们的数据表明,该湿地呈现出净正全球变暖潜能值(11.72吨二氧化碳当量·公顷⁻¹·年⁻¹),其温室气体排放主要受地下水位深度驱动。我们的分析表明,存在一个最佳地下水位深度,在我们的研究地点约为18厘米,以减轻该湿地全球变暖潜能值的增加。我们的研究深入了解了气候变化和人类活动如何影响高山湿地的温室气体排放,并且表明地下水位管理可能有效地减轻未来排放量的增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/8be5fec9befa/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/f06bb16653cd/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/960f34c4b296/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/d8341192ff31/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/733e528a5c09/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/0c52392c79a3/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/4cb8e720d325/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/8be5fec9befa/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/f06bb16653cd/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/960f34c4b296/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/d8341192ff31/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/733e528a5c09/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/0c52392c79a3/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/4cb8e720d325/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddf/10830858/8be5fec9befa/gr6.jpg

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