Land-use management and climate change can enhance the autotrophic capacity and reduce the CO2 emissions of karst aquatic ecosystems

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Liangxing Shi , Yuhao Zhao , Sibo Zeng , Zaihua Liu , Mingyu Shao , Min Zhao , Haibo He , Cheng Zeng , Yongqiang Han , Pengyun Hao , Liguo Tang
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Abstract

The carbon flux involved in aquatic metabolism in karst surface waters is an important component of both regional and global carbon cycling. Yet, the mechanisms of how aquatic metabolism and the related carbon flux respond to human land use and climate change in a high-pH aquatic environment remain unclear. To address this, we conducted continuous high-frequency (15-min interval) monitoring of hydrochemical parameters, combined with a bookkeeping model and gas transport velocity model, to estimate the aquatic net ecosystem primary (NEP) and water-air CO2 exchange flux (FCO2) under different land-use types at a simulation test site. We then used a structural equation model (SEM) and Random Forest model (RF) to determine the relationship between NEP, land-use type, and climatic factors, and to determine how NEP variations alter the FCO2. The results showed that the annual NEP of karst surface water systems under bare rock (0.01 g C m-2 day-1) was significantly lower than under vegetated land (shrubs, grass and cropland, 0.38–0.75 g C m-2 day-1). This high NEP demonstrates a strong autotrophic capacity and the potential to reduce CO2 emissions in these aquatic systems. Our results also suggest that differences in groundwater HCO3- inputs between bare rock/soil and vegetated land can explain their NEP differences. We applied the RF model to predict the variation of the NEP of different land-use systems by the end of this century, under different CMIP6 scenarios. The results suggested that land-use regulation (the conversion from bare rock or soil to grass or shrubs) can increase the autotrophic capacity of karst surface systems by 42.3 % (SSP126) and 51.5 % (SSP585). The results of this study indicate that human land-use change can potentially enhance the autotrophic capacity and lower the CO2 emissions of high-pH karst aquatic ecosystems.

Abstract Image

土地利用管理和气候变化可以增强喀斯特水生生态系统的自养能力,减少CO2排放
岩溶地表水水体代谢碳通量是区域和全球碳循环的重要组成部分。然而,在高ph水环境中,水生代谢和相关碳通量如何响应人类土地利用和气候变化的机制尚不清楚。为了解决这一问题,我们在模拟试验场进行了连续高频(间隔15 min)的水化学参数监测,结合簿记模型和气体输送速度模型,估算了不同土地利用类型下的水生生态系统净初级(NEP)和水-空气CO2交换通量(FCO2)。然后利用结构方程模型(SEM)和随机森林模型(RF)确定了新能源政策、土地利用类型和气候因子之间的关系,并确定了新能源政策变化如何改变FCO2。结果表明:裸岩条件下岩溶地表水系统年NEP (0.01 g C m-2 day-1)显著低于植被条件下(灌木、草地和农田)0.38 ~ 0.75 g C m-2 day-1;这种高NEP表明,在这些水生系统中具有很强的自养能力和减少二氧化碳排放的潜力。研究结果还表明,裸地和植被地地下水HCO3-输入的差异可以解释其NEP差异。应用RF模型对本世纪末不同CMIP6情景下不同土地利用系统的NEP变化进行了预测。结果表明,土地利用调节(由裸露的岩石或土壤转变为草或灌木)可使喀斯特地表系统的自养容量分别增加42.3% (SSP126)和51.5% (SSP585)。研究结果表明,人类土地利用变化可增强高ph喀斯特水生生态系统的自养能力,降低其CO2排放。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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