青海湖湖岸湿地における温室効果ガスフラックスの模擬降水量と関連環境要因への応答

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🔬研究者:Offers detailed flux data and correlation patterns for wetland GHG modeling.

青海湖湖滨湿地生态系统温室气体（CO2、CH4、N2O）排放对降水变化的响应尚不明确，为明确其影响，本研究利用降雨操纵装置设置五种降水处理（D25%、D75%、CK、I25%、I75%）。在生长季，采用静态箱–气相色谱法测定温室气体通量，同时监测土壤温度、水分、总碳（TC）、总氮（TN）、pH、电导率（EC）以及地上和地下生物量。结果表明：在11:00，降水增加和减少均抑制CO2和CH4排放（其中D25对CO2抑制最强，I75对CH4抑制最强）；然而，降水增加促进N2O排放（I75最强），而降水减少则抑制其排放（D25最强）。在15:00，仅D25抑制CO2排放，其余所有处理均促进其排放（I75最强）。所有处理下的CH4通量均高于CK，表明具有促进作用（I25最强）。N2O排放对降水变化的响应如下：增湿促进排放（I25最优），而减湿抑制排放（D75较强）。相关分析揭示了处理和时间特异性的模式。在11:00，仅在I75下观察到CO2与土壤温度呈显著负相关、CH4与土壤温度呈显著正相关；土壤水分在D25下与CH4呈显著正相关；TN在增湿处理下显著抑制三种气体；TC在I75下与N2O呈极显著负相关（p < 0.01）。在15:00，土壤温度总体上促进CO2和CH4排放（D75下CO2除外）；土壤水分促进CH4；TC与CO2和N2O均呈负相关；pH仅在CK下与CO2呈正相关；EC与CO2的相关性从正相关（CK）转变为负相关（I75）；地上生物量在I25和I75下抑制CO2，但在D25下促进N2O。综上所述，降水变化显著调节温室气体排放及其与土壤因子的关系，且具有强烈的时间和处理的依赖性。未来研究应结合长期观测和基于过程的模型，进一步量化降水变化对该湿地生态系统温室气体收支的综合影响。

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To clarify the effects of precipitation changes on greenhouse gas (CO2, CH4, N2O) emissions from the lakeshore wetland ecosystem of Qinghai Lake, this study establishes five precipitation treatments (D25%, D75%, CK, I25%, I75%) using a rainfall manipulation device. During the growing season, greenhouse gas fluxes were measured via the static chamber–gas chromatography method, while soil temperature, moisture, total carbon (TC), total nitrogen (TN), pH, electrical conductivity (EC), and aboveground and belowground biomass were simultaneously monitored. The results showed that at 11:00, both increased and decreased precipitation inhibited CO2 and CH4 emissions (with D25 showing the strongest inhibition for CO2 and I75 for CH4); however, increased precipitation promoted N2O emissions (I75 strongest), while decreased precipitation suppressed them (D25 strongest). At 15:00, only D25 inhibited CO2 emissions, whereas all other treatments promoted them (I75 strongest). CH4 fluxes under all treatments were higher than those in CK, indicating a promoting effect (I25 strongest). N2O emissions responded to precipitation changes as follows: wetting promoted emissions (I25 optimal), while drying suppressed them (D75 stronger). Correlation analyses revealed treatment- and time-specific patterns. At 11:00, significant negative correlations between CO2 and soil temperature and significant positive correlations between CH4 and soil temperature were observed only under I75; soil moisture was significantly positively correlated with CH4 under D25; TN significantly inhibited all three gases under wetting treatments; and TC showed a highly significant negative correlation with N2O under I75 (p < 0.01). At 15:00, soil temperature generally promoted CO2 and CH4 emissions (except for CO2 under D75); soil moisture promoted CH4; TC was negatively correlated with both CO2 and N2O; pH was positively correlated with CO2 only under CK; the correlation between EC and CO2 shifted from positive (CK) to negative (I75); aboveground biomass suppressed CO2 under I25 and I75 but promoted N2O under D25. In summary, precipitation changes significantly modulate greenhouse gas emissions and their relationships with soil factors, with strong temporal and treatment dependencies. Future studies should integrate long-term observations and process-based models to further quantify the comprehensive effects of precipitation changes on the greenhouse gas budget of this wetland ecosystem.

• crossref https://doi.org/10.3390/app16147020first seen 2026-07-14 05:22:16 · last seen 2026-07-27 06:11:05