Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem
Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem
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DOI：
10.3390/rs13132571
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发表时间：
2021-06
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影响因子：
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通讯作者：
Olivia Azevedo;Thomas C. Parker;M. Siewert;J. Subke
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作者：
Olivia Azevedo;Thomas C. Parker;M. Siewert;J. Subke
土壤是生物圈中最大的碳储存库，高纬度地区的土壤含有的碳（C）是大气的两倍。高纬度苔原植被群落的相对丰度和覆盖的落叶灌木，这可能会影响净生态系统交换的CO2从这个富C生态系统的增加。由于这些生态系统地处偏远，所需的测量工作又很密集，因此很难在区域尺度上监测作为生态系统碳平衡关键组成部分的土壤呼吸。在这里，我们使用直接测量的Rs从对比苔原植物群落结合直接测量地上植物生产力通过归一化差异植被指数（NDVI）来预测土壤呼吸在苔原生态系统中的四个关键植被群落。土壤呼吸与植被指数呈非线性关系（y = 0.202e3.508x，p < 0.001）。我们的研究结果进一步表明，如果考虑植被类型，NDVI和土壤温度可以帮助预测Rs。然而，我们观察到，在一个单一的研究分析中，NDVI是不是一个相关的解释变量在SOC的估计。
Soils represent the largest store of carbon in the biosphere with soils at high latitudes containing twice as much carbon (C) than the atmosphere. High latitude tundra vegetation communities show increases in the relative abundance and cover of deciduous shrubs which may influence net ecosystem exchange of CO2 from this C-rich ecosystem. Monitoring soil respiration (Rs) as a crucial component of the ecosystem carbon balance at regional scales is difficult given the remoteness of these ecosystems and the intensiveness of measurements that is required. Here we use direct measurements of Rs from contrasting tundra plant communities combined with direct measurements of aboveground plant productivity via Normalised Difference Vegetation Index (NDVI) to predict soil respiration across four key vegetation communities in a tundra ecosystem. Soil respiration exhibited a nonlinear relationship with NDVI (y = 0.202e3.508 x, p < 0.001). Our results further suggest that NDVI and soil temperature can help predict Rs if vegetation type is taken into consideration. We observed, however, that NDVI is not a relevant explanatory variable in the estimation of SOC in a single-study analysis.