A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models

Earth System Models; POC yield; Agricultural runoff; Catchments; Data handling; Data reduction; Erosion; Forestry; Information analysis; Runoff; Sediments; Earth system model; Empirical relationships; Environmental consequences; Particulate organic carbon; Sediment yields; Shallow overland flows; Soil erosion modeling; Organic carbon

Abstract :

[en] Although sediment yield (SY) from water erosion is ubiquitous and its environmental consequences are well recognized, its impacts on the global carbon cycle remain largely uncertain. This knowledge gap is partly due to the lack of soil erosion modeling in Earth System Models (ESMs), which are important tools used to understand the global carbon cycle and explore its changes. This study analyzed sediment and particulate organic carbon yield (CY) data from 1,081 and 38 small catchments (0.1–200 km2), respectively, in different environments across the globe. Using multiple statistical analysis techniques, we explored environmental factors and hydrological processes important for SY and CY modeling in ESMs. Our results show clear correlations of high SY with traditional agriculture, seismicity and heavy storms, as well as strong correlations between SY and annual peak runoff. These highlight the potential limitation of SY models that represent only interrill and rill erosion because shallow overland flow and rill flow have limited transport capacity due to their hydraulic geometry to produce high SY. Further, our results suggest that SY modeling in ESMs should be implemented at the event scale to produce the catastrophic mass transport during episodic events. Several environmental factors such as seismicity and land management that are often not considered in current catchment-scale SY models can be important in controlling global SY. Our analyses show that SY is likely the primary control on CY in small catchments and a statistically significant empirical relationship is established to calculate SY and CY jointly in ESMs. © 2017. American Geophysical Union. All Rights Reserved.

Disciplines :

Earth sciences & physical geography

Author, co-author :

Tan, Z.; Pacific Northwest National Laboratory, Richland, WA, United States

Leung, L. R.; Pacific Northwest National Laboratory, Richland, WA, United States

Li, H.; Montana State University, Bozeman, MT, United States

Tesfa, T.; Pacific Northwest National Laboratory, Richland, WA, United States

Vanmaercke, Matthias ; Université de Liège - ULiège > Département de géographie > Géographie physique et du quaternaire

Poesen, J.; Department of Earth and Environmental Sciences, Division of Geography, KU Leuven, Leuven, Belgium

Zhang, X.; Pacific Northwest National Laboratory, Richland, WA, United States

Lu, H.; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China

Hartmann, J.; Institute for Geology, Center for Earth System Research and Sustainability, Universität Hamburg, Hamburg, Germany

Language :

English

Title :

A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models

Publication date :

2017

Journal title :

Water Resources Research

ISSN :

0043-1397

eISSN :

1944-7973

Publisher :

Blackwell Publishing Ltd

Volume :

Issue :

Pages :

10674-10700

Peer reviewed :

Peer Reviewed verified by ORBi

Name of the research project :

Earth System Modeling program through the Energy Exascale Earth System Model (E3SM) project

Funders :

DOE - United States. Department of Energy [US-OR]
DFG - Deutsche Forschungsgemeinschaft [DE]

Available on ORBi :

since 27 June 2018

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