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首页> 外文期刊>The Journal of Applied Ecology >Simple measures of climate, soil properties and plant traits predict national-scale grassland soil carbon stocks
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Simple measures of climate, soil properties and plant traits predict national-scale grassland soil carbon stocks

机译:简单的措施的气候、土壤和属性植物特征预测当中草原土壤碳储量

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摘要

Soil carbon (C) storage is a key ecosystem service. Soil C stocks play a vital role in soil fertility and climate regulation, but the factors that control these stocks at regional and national scales are unknown, particularly when their composition and stability are considered. As a result, their mapping relies on either unreliable proxy measures or laborious direct measurements. Using data from an extensive national survey of English grasslands, we show that surface soil (0-7cm) C stocks in size fractions of varying stability can be predicted at both regional and national scales from plant traits and simple measures of soil and climatic conditions. Soil C stocks in the largest pool, of intermediate particle size (50-250m), were best explained by mean annual temperature (MAT), soil pH and soil moisture content. The second largest C pool, highly stable physically and biochemically protected particles (045-50m), was explained by soil pH and the community abundance-weighted mean (CWM) leaf nitrogen (N) content, with the highest soil C stocks under N-rich vegetation. The C stock in the small active fraction (250-4000m) was explained by a wide range of variables: MAT, mean annual precipitation, mean growing season length, soil pH and CWM specific leaf area; stocks were higher under vegetation with thick and/or dense leaves. Testing the models describing these fractions against data from an independent English region indicated moderately strong correlation between predicted and actual values and no systematic bias, with the exception of the active fraction, for which predictions were inaccurate.Synthesis and applications. Validation indicates that readily available climate, soils and plant survey data can be effective in making local- to landscape-scale (1-100000km(2)) soil C stock predictions. Such predictions are a crucial component of effective management strategies to protect C stocks and enhance soil C sequestration.
机译:土壤碳(C)存储是一个关键的生态系统服务。生育和气候调节,但因素在区域和控制这些股票国家尺度是未知的,特别是当他们的组成和稳定性被认为是。因此,他们依赖映射不可靠的代理或艰苦的直接措施测量。英语草原的全国性调查,我们表演表层土壤(0-7cm) C股票大小分数可以预测不同的稳定在区域和国家尺度从工厂土壤和气候特点和简单的措施条件。中间粒度(50 - 250米),是最好的解释为年平均温度(垫)、土壤pH值和土壤水分含量。身体和C池,高度稳定保护生化反应粒子(045 - 50米)解释为土壤pH值和社区abundance-weighted意味着(CWM)叶氮(N)内容,最高的土壤C下股票N-rich植被。活动部分(250 - 4000)被一个解释广泛的变量:垫,年平均降水、平均生长季长度、土壤pH值和CWM特定的叶面积;在植被与厚和/或茂密的树叶。测试模型描述这些分数对数据从一个独立的英语地区表示适度强烈的相关性预测和实际值,没有系统性偏见,除了活动分数,不准确的预测。和应用程序。现成的气候、土壤和植物的调查数据可以在当地——效果景观尺度(1 - 100000公里(2))土壤C股票预测。组件的有效管理策略保护股票和提高土壤C封存。

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