巴塔哥尼亚大草原碳固存的年度和季节动态

IF 5.6 1区 农林科学 Q1 AGRONOMY Agricultural and Forest Meteorology Pub Date : 2024-08-10 DOI:10.1016/j.agrformet.2024.110184
A. Burek , S.J. Bucci , L. Carbonell-Silletta , A. Cavallaro , J.O. Askenazi , D.A. Pereyra , M.P. Cristiano , G. Goldstein , F.G. Scholz
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引用次数: 0

摘要

干旱和半干旱生态系统约占全球陆地面积的 40%,在碳-气候系统中发挥着重要作用。然而,尽管干旱和半干旱生态系统在南美洲的地理范围很大,但在生态系统碳通量的研究中却没有得到充分的体现。我们在阿根廷南部以禾本科和灌木为主的巴塔哥尼亚大草原进行了为期四年的生态系统净碳交换涡方差测量,其中包括相对干旱和潮湿的年份。我们评估了 NEE、总初级生产力(GPP)和生态系统呼吸作用(Reco)的季节和年度变化及其环境控制。该生态系统的全球辐射(Rg)、气温、水汽压差、土壤湿度和叶面积指数(LAI)的季节性波动很大。该草原是一个净碳汇,年平均累积净吸收碳当量为-249 g C m-2 yr-1。潮湿年份的碳汇强度更高(-283.9 g C m-2 yr-1)。NEE 与 GPP 紧密相关,在 LAI 达到最大值的生长季中期出现一个明显的峰值。与 GPP 相比,Reco 在整个时间段内的波动较小。随机森林机器学习分析表明,Rg、LAI 和深层土壤水分是造成生长季和整个研究期间日和月累积 NEE、GPP 和 Reco 变异的主要驱动因素。研究结果表明,深根灌木在生长季(降水量低和 VPD 高的时期)通过吸收深层和更稳定的水源对碳通量做出了巨大贡献,从而延长了净碳捕获期。这项研究有助于了解该生态系统的功能,并预测该草原将如何应对未来气候。此外,这项研究还强调了保护这一生态系统的必要性,因为它具有巨大的延伸和固碳能力。
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Annual and seasonal dynamic of carbon sequestration in a Patagonian steppe

Arid and semiarid ecosystems comprise approximately 40 % of the global terrestrial surface and play an important role in the carbon-climate system. However, despite their large geographic extension in South America, they are largely under-represented in studies of ecosystem carbon fluxes. Eddy-covariance measurements of net ecosystem carbon exchange (NEE) were carried out in a Patagonian steppe co-dominated by grasses and shrubs in southern Argentina, for four years, including relatively dry and wet years. We evaluated the seasonal and annual variation of NEE, gross primary productivity (GPP) and ecosystem respiration (Reco), and their environmental controls. This ecosystem exhibits large seasonal fluctuations in global radiation (Rg), air temperature, vapor pressure deficit, soil moisture and leaf area index (LAI). This steppe was a net carbon sink with a mean annual cumulative NEE of -249 g C m−2 yr−1. The strength as carbon sink was higher (-283.9 g C m−2 yr−1) in the wet year. NEE was tightly coupled to GPP with a marked peak at the middle of the growing season when LAI achieved its maximum value. Reco exhibited less fluctuation throughout time than GPP. A random forest machine-learning analysis indicated that Rg, LAI and deep soil moisture are the main drivers contributing to variability in daily and monthly cumulative NEE, GPP and Reco during the growing season and across the entire study period. Results suggest that deep-rooted shrubs contribute substantially to C fluxes during the growing season (low precipitation and high VPD period) by acceding to deep and more stable water sources which allow extending the period of net carbon capture. This study helps to understand how this ecosystem functions and to predict how this steppe will respond to future climate. In addition, this research highlights the need for conservation of this ecosystem due to its large extension and carbon sequestration capacity.

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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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