A. Ågren, E. M. Hasselquist, J. Stendahl, M. Nilsson, S. S. Paul
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We generated categorical maps of\npeat occurrence using three different definitions of peat (30, 40, and 50 cm\nthickness of the organic layer) and a continuous map of organic layer\nthickness. The predicted peat maps had a higher overall quality (MCC = 0.69–0.73) compared to traditional Quaternary deposits maps (MCC = 0.65)\nand topographical maps (MCC = 0.61) and captured the peatlands with a\nrecall of ca. 80 % compared to 50 %–70 % on the traditional maps. The\npredicted peat maps identified more peatland area than previous maps, and\nthe areal coverage estimates fell within the same order as upscaling\nestimates from national field surveys. Our method was able to identify\nsmaller peatlands resulting in more accurate maps of peat soils, which was\nnot restricted to only large peatlands that can be visually detected from\naerial imagery – the historical approach of mapping. We also provided a\ncontinuous map of the organic layer, which ranged 6–88 cm organic layer\nthickness, with an R2 of 0.67 and RMSE (root mean square error) of 19 cm. The continuous map\nexhibits a smooth transition of organic layers from mineral soil to peat\nsoils and likely provides a more natural representation of the distribution\nof soils. The continuous map also provides an intuitive uncertainty estimate\nin the delineation of peat soils, critically useful for sustainable spatial\nplanning, e.g., greenhouse gas or biodiversity inventories and landscape\necological research.\n","PeriodicalId":22015,"journal":{"name":"Soil Science","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Delineating the distribution of mineral and peat soils at the landscape scale in northern boreal regions\",\"authors\":\"A. 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引用次数: 6
摘要
摘要为了实现可持续发展目标,实现泥炭地的可持续管理和保护,迫切需要改进泥炭地的测绘工作。在这里,我们提出了一种基于高分辨率数字土壤湿度图来识别泥炭土的新方法,该地图是通过结合机载激光扫描导出的地形指数和机器学习来模拟瑞典景观中2米空间分辨率的土壤湿度而产生的。由于土壤湿度是泥炭形成的关键因素,我们拟合了有机层厚度(在全国5479个土壤样地测量)与连续SLU(瑞典农业科学大学)土壤湿度图之间的经验关系(R2= 0.66, p < 0.001)。我们使用三种不同的泥炭定义(有机层厚度30,40和50厘米)和有机层厚度的连续图生成了泥炭发生的分类图。与传统的第四纪沉积图(MCC = 0.65)和地形图(MCC = 0.61)相比,预测泥炭地图的总体质量(MCC = 0.69-0.73)更高,泥炭地的召回率约为80%,而传统地图的召回率为50% - 70%。预测的泥炭地图比以前的地图确定了更多的泥炭地面积,并且面积覆盖估计值与国家实地调查的估计值处于同一顺序。我们的方法能够识别较小的泥炭地,从而绘制出更准确的泥炭土地图,而不仅仅局限于可以从材料图像中视觉检测到的大型泥炭地——这是制图的历史方法。我们还提供了有机层的连续图,有机层厚度范围为6-88 cm, R2为0.67,均方根误差(RMSE)为19 cm。连续图显示了有机层从矿物土到泥炭土的平滑过渡,可能提供了土壤分布的更自然的表示。连续地图还为泥炭土的描绘提供了直观的不确定性估计,这对可持续空间规划至关重要,例如温室气体或生物多样性清单和景观生态学研究。
Delineating the distribution of mineral and peat soils at the landscape scale in northern boreal regions
Abstract. To meet the sustainable development goals and enable sustainable
management and protection of peatlands, there is a strong need for improving
the mapping of peatlands. Here we present a novel approach to identify peat
soils based on a high-resolution digital soil moisture map that was produced
by combining airborne laser scanning-derived terrain indices and machine
learning to model soil moisture at 2 m spatial resolution across the Swedish
landscape. As soil moisture is a key factor in peat formation, we fitted an
empirical relationship between the thickness of the organic layer (measured
at 5479 soil plots across the country) and the continuous SLU (Swedish University of Agricultural Science) soil moisture
map (R2= 0.66, p < 0.001). We generated categorical maps of
peat occurrence using three different definitions of peat (30, 40, and 50 cm
thickness of the organic layer) and a continuous map of organic layer
thickness. The predicted peat maps had a higher overall quality (MCC = 0.69–0.73) compared to traditional Quaternary deposits maps (MCC = 0.65)
and topographical maps (MCC = 0.61) and captured the peatlands with a
recall of ca. 80 % compared to 50 %–70 % on the traditional maps. The
predicted peat maps identified more peatland area than previous maps, and
the areal coverage estimates fell within the same order as upscaling
estimates from national field surveys. Our method was able to identify
smaller peatlands resulting in more accurate maps of peat soils, which was
not restricted to only large peatlands that can be visually detected from
aerial imagery – the historical approach of mapping. We also provided a
continuous map of the organic layer, which ranged 6–88 cm organic layer
thickness, with an R2 of 0.67 and RMSE (root mean square error) of 19 cm. The continuous map
exhibits a smooth transition of organic layers from mineral soil to peat
soils and likely provides a more natural representation of the distribution
of soils. The continuous map also provides an intuitive uncertainty estimate
in the delineation of peat soils, critically useful for sustainable spatial
planning, e.g., greenhouse gas or biodiversity inventories and landscape
ecological research.
期刊介绍:
Cessation.Soil Science satisfies the professional needs of all scientists and laboratory personnel involved in soil and plant research by publishing primary research reports and critical reviews of basic and applied soil science, especially as it relates to soil and plant studies and general environmental soil science.
Each month, Soil Science presents authoritative research articles from an impressive array of discipline: soil chemistry and biochemistry, physics, fertility and nutrition, soil genesis and morphology, soil microbiology and mineralogy. Of immediate relevance to soil scientists-both industrial and academic-this unique publication also has long-range value for agronomists and environmental scientists.