Large-scale predictions of salt-marsh carbon stock based on simple observations of plant community and soil type
Large-scale predictions of salt-marsh carbon stock based on simple observations of plant community and soil type
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DOI：
10.5194/bg-16-425-2019
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发表时间：
2019-01-25
期刊：
影响因子：
4.9
通讯作者：
Skov, Martin W.
中科院分区：
文献类型：
--
作者：
Ford, Hilary;Garbutt, Angus;Skov, Martin W.
沿海湿地生态系统中储存的碳与全球气候调节相关。这种“蓝色”碳储存库的大规模库存目前缺乏且属于劳动力密集型。我们对英国 23 个盐沼进行了采样，开发了盐沼碳储量预测器 (SCSP)，能够通过对植物群落和土壤类型的简单观察来预测表层土壤有机碳 (SOC) 储量（0-10 厘米）高达 44% 的空间变化。将土壤分为两种类型（沙质或非沙质）可以解释 32% 的 SOC 储量变化。植物群落类型（五个植被类别）解释了 37% 的变异。土壤和植物群落类型的综合信息解释了 SOC 储量变化的 44%。使用现有的土壤地图和政府植被数据，为威尔士所有盐沼（大约 4000 公顷）制作了表面 SOC 储量的 GIS 地图，并展示了 SCSP 在大规模预测蓝碳储存中的应用以及使用植物群落特征来预测生态系统服务。
Carbon stored in coastal wetland ecosystems is of global relevance to climate regulation. Broadscale inventories of this "blue" carbon store are currently lacking and labour intensive. Sampling 23 salt marshes in the United Kingdom, we developed a Saltmarsh Carbon Stock Predictor (SCSP) with the capacity to predict up to 44% of spatial variation in surface soil organic carbon (SOC) stock (0-10 cm) from simple observations of plant community and soil type. Classification of soils into two types (sandy or not-sandy) explained 32% of variation in SOC stock. Plant community type (five vegetation classes) explained 37% of variation. Combined information on soil and plant community types explained 44% of variation in SOC stock. GIS maps of surface SOC stock were produced for all salt marshes in Wales (similar to 4000 ha), using existing soil maps and governmental vegetation data and demonstrating the application of the SCSP for large-scale predictions of blue carbon stores and the use of plant community traits for predicting ecosystem services.