| DOI: | 10.1002/2016GL071480
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| 论文题名: | Soil erosion assessment—Mind the gap |
| 作者: | Kim J.; Ivanov V.Y.; Fatichi S.
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| 刊名: | Geophysical Research Letters
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| ISSN: | 0094-8316
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| EISSN: | 1944-8047
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| 出版年: | 2016
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| 卷: | 43, 期:24 | | 起始页码: | 12446
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| 结束页码: | 12456
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| 语种: | 英语
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| 英文关键词: | erosion
; geomorphic internal variability
; heavy-tailed distribution
; nonuniqueness
; soil loss
; stochasticity
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| Scopus关键词: | Catchments
; Soils
; Stochastic systems
; Heavy-tailed distribution
; Internal variability
; Nonuniqueness
; Soil loss
; Stochasticity
; Erosion
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| 英文摘要: | Accurate assessment of erosion rates remains an elusive problem because soil loss is strongly nonunique with respect to the main drivers. In addressing the mechanistic causes of erosion responses, we discriminate between macroscale effects of external factors—long studied and referred to as “geomorphic external variability”, and microscale effects, introduced as “geomorphic internal variability.” The latter source of erosion variations represents the knowledge gap, an overlooked but vital element of geomorphic response, significantly impacting the low predictability skill of deterministic models at field-catchment scales. This is corroborated with experiments using a comprehensive physical model that dynamically updates the soil mass and particle composition. As complete knowledge of microscale conditions for arbitrary location and time is infeasible, we propose that new predictive frameworks of soil erosion should embed stochastic components in deterministic assessments of external and internal types of geomorphic variability. ©2016. American Geophysical Union. All Rights Reserved. |
| URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007472497&doi=10.1002%2f2016GL071480&partnerID=40&md5=e534794cd2e278142d2af1675af5344b
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| Citation statistics: |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/9279
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| Appears in Collections: | 科学计划与规划
气候变化与战略
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作者单位: | Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, United States
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| Recommended Citation: | |
Kim J.,Ivanov V.Y.,Fatichi S.. Soil erosion assessment—Mind the gap[J]. Geophysical Research Letters,2016-01-01,43(24).
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