气候变化背景下秦岭地区陆地生态系统水分利用率变化趋势
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西北农林科技大学,西北农林科技大学,西北农林科技大学,西北农林科技大学,西北农林科技大学

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陕西省自然科学基础研究计划项目(2012JQ3016);高等学校博士学科点专项科研基金(20120204120007)


Evaluating water use efficiency patterns of Qinling Mountains under climate change
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Northwest A&F University,,Northwest A&F University,,

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    摘要:

    为探究未来气候变化背景下秦岭地区陆地生态系统水分利用率(WUE)的变化规律及其对气候变化的响应,结合IPCC第五次报告资料中心的CCSM4、GISS-E-R、GISS-E-H、IPSL-CM5R-LR-CM、NorESM1-1-ME等5个模型相关模拟结果,预测和分析秦岭地区2006-2100年在RCP2.6、RCP4.5、RCP6.0和RCP8.5 4种未来典型气候变化情景下其水分利用率的变化趋势及其与降雨、气温、CO2浓度等关键气候变化因子之间的关系。研究结果表明:4种未来情景下预测的秦岭地区生态系统WUE几乎全为正距平,各情景下WUE倾向率为0.0136-0.13 g C kg-1 H2O 10a-1,均达到极显著水平,且随辐射强迫增加,WUE距平值与倾向率也相应增加。各情景下GPP的增长趋势强于ET,使得两者的比值(即WUE)呈现增长趋势,并随辐射强迫的增加,两者的差异愈发显著,即WUE增长随辐射强迫的增强而更显著。同时,各模型预测的年均气温倾向率为0.21-0.498℃/10a,降雨量倾向率为7.78-17.66 mm/10a。由于气温、降雨量、CO2等关键气候变化因子调控GPP正增长速率大于ET,以及生态系统LAI值和自身的植被演替过程直接影响生态系统WUE,最终使得生态系统WUE呈正增长趋势。其中GPP的显著增加是未来秦岭地区生态系统WUE增长的直接因素,而气温的显著增加与大气CO2浓度的升高则是WUE变化的主要环境因素,降雨量的影响相对较弱。

    Abstract:

    As a key metric for measuring the dry matter yield gained per unit water used by plants, water use efficiency (WUE) has already become a hot topic for agro-forestry production and ecological research in arid and semi-arid areas. The WUE at the ecosystem level is usually defined as the ratio of the gross primary productivity (GPP) to the total evapotranspiration (ET). The ecology of the Qinling Mountains responds quite sensitively to climate change as a typical geographical transition zone and fragile ecological area. It has gradually become an important region in research on global change. To explore the variation in ecosystem water use efficiency in the Qinling Mountains and the responses of its ecology to current and projected climate change, we used five models (CCSM4, GISS-E2-R, GISS-E2-H, IPSL-CM5R-LR and NorESM1-ME) from the PCMDI database to forecast the trend of dynamic change in mean annual precipitation, mean annual air temperature, and ecosystem water use efficiency in the Qinling Mountains. During the period 2006-2100, four typical scenarios were studied (RCP2.6, RCP4.5, RCP6.0, and RCP8.5). The correlation between WUE and the key factors of climate change, including mean annual precipitation, mean annual air temperature, and CO2 concentration, were analyzed. The results indicated the following: 1) The ecosystem-level WUE in the Qinling Mountains during 2006-2100 showed an obvious increasing trend in all scenarios, and the average tendency rate ranged from 0.0136 to 0.13 g C/kg H2O every 10 years. With the growth in radiative forcing, the tendency rate and increasing range of WUE also increased. 2) The ecosystem-level GPP in the Qinling Mountains during 2006-2100 showed an obvious increasing trend in all scenarios; the average tendency rate ranged from 1.970 to 10.434 g C/m2 every year, but the average tendency rate of the ecosystem-level GPP ranged from 0.338 to 0.738 kg H2O/m2 during 2006-2100 in these scenarios. Compared to ET, ecosystem-level GPP in the Qinling Mountains had a higher tendency rate, in these scenarios. 3) The tendency rate of mean annual air temperature ranged from 0.21 to 0.498℃ every 10 years at a highly significant level. The tendency rate of mean annual precipitation was about 7.78-17.66 mm every 10 years, but most results from the models showed insignificant upward trends. 4) Driven by these meteorological factors (e.g., air temperature, precipitation, and CO2 concentration), both GPP and ET showed a rising trend; nevertheless, the increasing rate of GPP was more significant in comparison. Meanwhile, the subtropical evergreen broad-leaved forest on the south slopes of the Qinling Mountains has the tendency to move northwards, and may replace the warm-temperate deciduous broad-leaved forest now on the north slopes of Qinling Mountains, in response to climate change. Because of the increase in air temperate, precipitation, and CO2 concentration, in addition to the increased leaf area index (LAI) of the ecosystem and the underlying succession of vegetation from 2006 to 2100, the ecosystem-level WUE in the Qinling Mountains showed an apparent trend of increase. The remarkable increases in air temperature and CO2 concentration were the main driving factors for enhancing the WUE of the ecosystem in the Qinling Mountains, while precipitation was relatively insignificant.

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李明旭,杨延征,朱求安,陈槐,彭长辉.气候变化背景下秦岭地区陆地生态系统水分利用率变化趋势.生态学报,2016,36(4):936~945

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