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青藏高原典型濕地甲烷排放關鍵控制因子及其模型整合研究

批準號41571081 學科分類綜合自然地理學 ( D010107 )
項目負責人朱求安 負責人職稱副教授 依托單位西北農林科技大學
資助金額70.00
萬元
項目類別面上項目 研究期限2016 年 01 月 01 日 至
2019 年 12 月 31 日
中文主題詞模型模擬;定位觀測;濕地過程;濕地水文;濕地土壤
英文主題詞modelling;observation;wetland process;wetland hydrology;wetland soil

摘要

中文摘要 濕地被認為是最大的單一甲烷排放源,提高對濕地甲烷排放過程及機制的認識與理解對研究區域及全球甲烷收支有著重要意義。青藏高原作為我國自然濕地分布兩大區域之一,具有著顯著的甲烷源潛力。本研究以青藏高原典型濕地為研究對象,從野外實驗入手,利用渦度相關技術與傳統靜態箱方法對濕地甲烷通量進行觀測,并同步對濕地甲烷排放的關鍵控制因子進行連續的實時監測,以揭示濕地甲烷排放與其關鍵控制因子之間的相互關系及響應機制;同時利用濕地甲烷排放生態系統過程模型,通過對觀測結果的量化分析與模型模塊化,實現觀測數據與過程模型的整合,在通過遙感解譯得到濕地分布狀況的基礎上,從觀測樣點向區域水平進行尺度擴展,從而準確估算青藏高原濕地甲烷排放強度和時空格局。該研究將為區域濕地甲烷排放對氣候變化的響應機制提供線索,對加深氣候變化條件下區域碳源匯過程的理解以及我國溫室氣體排放清單的制定有著重要的科學意義。
英文摘要 Methane (CH4) is an important greenhouse gas with a global warming potential 28 times greater than that of carbon dioxide. Atmospheric CH4 levels have exhibited a persistent and almost exponentially increasing trend since 1750. Small changes in atmospheric CH4 concentrations can have significant climate impacts because of the gas’s strong greenhouse effects. An improved understanding of the CH4 budget will reduce uncertainties in future climate change projections. Wetlands, as an important component of the terrestrial ecosystem, are considered the single largest CH4 source. CH4 emissions from natural wetlands are the main drivers of the global interannual variability of CH4 emissions with high confidence and contribute largely to interannual variations and anomalies of atmospheric CH4 concentrations. Therefore, it is vital to improve existing CH4 emission quantification methods for wetlands to better understand the global CH4 budget. The Qinghai-Tibet Plateau (QTP) has the second largest natural wetlands areas in China, showing a strong emissions potential of CH4. In this study, different methods including eddy covariance technology, were used to measure the CH4 fluxes from wetlands of the QTP, as well as the key factors that control the wetlands CH4 emissions. Based on the observations, the mechanism between the key control factors and wetlands CH4 emissions were investigated which was then integrated into a processed model of wetlands CH4 emissions. With the support of wetlands distributions map that retrieved from remote sensing data, the temporal and spatial patterns of CH4 emissions from wetlands of the QTP were estimated. This study provides scientific basis for understanding regional carbon budget and for the policy makers.
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