Implications of Land Cover Classification on Soil Carbon Monitoring—Comparing LUCAS and Swedish Soil Inventories

IF 4.3 2区 农林科学 Q2 SOIL SCIENCE
Rong Lang, Martin A. Bolinder, Johanna Wetterlind, Carin Sjöstedt, Erik Karltun, Mattias Lundblad, Katharina H. E. Meurer, Anke M. Herrmann, Thomas Kätterer
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Abstract

National soil monitoring programs and the EU‐level Land Use/Land Cover Area Frame Survey (LUCAS) operate in parallel, repeatedly taking soil samples and analyzing them to support policies on monitoring soil health, including soil organic carbon (SOC). However, the comparability of SOC changes derived from different monitoring programs remains uncertain. In this study, we aimed to identify the sources of these differences and to illustrate the effect of land cover classification on SOC change. The LUCAS soil sampling did not reflect the actual proportions of cropland and grassland in Sweden. Overlaying the LUCAS grassland points with the Swedish Land Parcel Identification System (LPIS) showed that about 65% of the extracted points belonged to arable rotations, and 76% of this inconsistency was attributed to leys and fallow. We further compared SOC changes in the topsoil of cropland and grassland using LUCAS data from 2009, 2015, and 2018, before and after adjusting land cover using LPIS. The median change in SOC between 2015 and 2018 was 0.11% (95% CI −0.01%–0.17%, effect size 0.22) for continuous cropland (CC), and 0.22% (95% CI −0.11%–0.54%, effect size 0.25) for continuous grassland (GG). After adjustment, SOC change became significant and more positive for CC (median 0.15%, 95% CI 0.09%–0.25%, effect size 0.35), but less positive for GG (median 0.08%, 95% CI −0.81–0.70, effect size 0.01). Further differentiating ley occurrence in the arable rotation and grassland subgroups showed a larger SOC increase with higher ley occurrence in arable rotations, but a less positive or even negative SOC change in grassland subgroups. The trends in SOC changes after adjusting land cover became similar to those observed in the Swedish national inventories. Our results highlight the importance of recognizing differences among cropping systems and the need for improving data harmonization across monitoring programs.
土地覆盖分类对土壤碳监测的意义——比较LUCAS和瑞典土壤清查表
国家土壤监测计划和欧盟层面的土地利用/土地覆盖面积框架调查(LUCAS)并行运行,反复采集土壤样本并进行分析,以支持监测土壤健康(包括土壤有机碳(SOC))的政策。然而,来自不同监测方案的SOC变化的可比性仍然不确定。在本研究中,我们旨在找出这些差异的来源,并说明土地覆盖分类对有机碳变化的影响。LUCAS土壤取样不能反映瑞典农田和草地的实际比例。将LUCAS草地点与瑞典土地包裹识别系统(LPIS)进行叠加,结果表明,约65%的提取点属于耕地轮作,其中76%的不一致归因于轮作和休耕。利用LUCAS数据,比较了2009年、2015年和2018年农田和草地表层土壤有机碳的变化。2015 - 2018年,连续耕地(CC)的SOC变化中值为0.11% (95% CI−0.01% ~ 0.17%,效应值0.22),连续草地(GG)的SOC变化中值为0.22% (95% CI−0.11% ~ 0.54%,效应值0.25)。调整后,CC的SOC变化变得显著且阳性(中位数0.15%,95% CI 0.09%-0.25%,效应值0.35),而GG的阳性程度较低(中位数0.08%,95% CI−0.81-0.70,效应值0.01)。进一步区分耕地轮作和草地亚群的土壤有机碳变化,耕地轮作中土壤有机碳增加幅度越大,草地亚群中土壤有机碳正变化幅度较小,甚至呈负变化。调整土地覆盖后土壤有机碳的变化趋势与瑞典国家清单中观察到的趋势相似。我们的研究结果强调了认识到种植制度之间差异的重要性,以及改善监测项目之间数据协调的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of Soil Science
European Journal of Soil Science 农林科学-土壤科学
CiteScore
8.20
自引率
4.80%
发文量
117
审稿时长
5 months
期刊介绍: The EJSS is an international journal that publishes outstanding papers in soil science that advance the theoretical and mechanistic understanding of physical, chemical and biological processes and their interactions in soils acting from molecular to continental scales in natural and managed environments.
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