Preprints
https://doi.org/10.5194/essd-2022-87
https://doi.org/10.5194/essd-2022-87
 
09 Mar 2022
09 Mar 2022
Status: this discussion paper is a preprint. It has been under review for the journal Earth System Science Data (ESSD). The manuscript was not accepted for further review after discussion.

AWESOME: Archive for Water Erosion and Sediment Outflow MEasurements

Jinshi Jian1,3,, Xuan Du4,, Juying Jiao1,2, Xiaohua Ren5, Karl Auerswald6, Ryan Stewart7, Zeli Tan8, Jianlin Zhao9, Daniel L. Evans10, Guangju Zhao1,2, Nufang Fang1, Wenyi Sun1,2, Chao Yue1,2, and Ben Bond-Lamberty2 Jinshi Jian et al.
  • 1State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, 712100, China
  • 2Institute of Soil and Water Conservation, Chinese Academy of Sciences & Ministry of Water Resources, 26 Xinong Road, Xianyang 712100, China
  • 3Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland–College Park, 5825 University Research Court, Suite 3500, College Park, MD 20740, USA
  • 4Department of Hydraulic Engineering, Yangling Vocational & Technical College, Yang Ling, Shaanxi, China
  • 5Institute of Soil and Water Conservation, Northwest A&F University, Yangling, 712100, Shaanxi, China
  • 6Aquatic Systems Biology Unit, Technical University of Munich, 85354 Freising, Germany
  • 7School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, USA
  • 8Pacific Northwest National Laboratory, Richland, WA, USA
  • 9Department of Geology Engineering and Geomatics, Chang'an University, Yantalu 126, Xi'an 710054, China
  • 10School of Water, Energy and Environment, Cranfield University, Cranfield, Bedfordshire, MK43 0AL, UK
  • These authors contributed equally to this work.

Abstract. Soil erosion is a major threat to soil resources, causing environmental degradation and contributing to poverty in many parts of the world. Many field experiments have been performed over the past century to study spatio-temporal patterns of soil erosion caused by surface runoff under different environmental conditions. However, these data have never been integrated together in a way that can inform efforts to understand and model soil erosion at different spatial and temporal scales. Here, we designed a database titled AWESOME: Archive for Water Erosion and Sediment Outflow Measurements (Jian et al., 2022). The AWESOME database compiles field measurements of annual soil erosion and sediment yield caused by surface runoff, with data derived from sites around the globe. It includes four soil erosion-related indicators (surface runoff, annual erosion, annual sediment yield, and soil nutrient loss) and more than sixty variables for meta-data that describe the location, climate, soil properties, experimental design (e.g., soil erosion measurement method, field scale, replication), and bibliographic information (e.g., author name and year of publication). Currently, measurements from 1985 geographic sites with unique combinations of longitude and latitude, representing 75 countries, have been compiled into AWESOME. We provide an example of linking AWESOME with an external climate dataset, and identify correlations between soil erosion and several environmental variables. Annual soil erosion rates were most influenced by vegetation type and soil texture group. Annual soil erosion rates exhibited significant negative relationships with plant coverage, soil clay content, soil pH, and soil organic carbon content, and significant positive relationships with annual precipitation and soil bulk density. AWESOME aims to be a freely available, and global framework for compiling field soil erosion and subsequent sediment yield measurements, and to provide data sources to support statistical evaluations, model validation and applications, as well as a better understanding of spatial and temporal patterns of soil erosion.

Jinshi Jian et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-87', Pia Benaud, 06 Apr 2022
  • RC2: 'Comment on essd-2022-87', Anonymous Referee #2, 16 May 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-87', Pia Benaud, 06 Apr 2022
  • RC2: 'Comment on essd-2022-87', Anonymous Referee #2, 16 May 2022

Jinshi Jian et al.

Data sets

Jinshijian/AWESOME: Archive for Water Erosion and Sediment Outflow MEasurements (v2.0.0) Jinshi Jian, Xuan Du, Juying Jiao, Xiaohua Ren, Karl Auerswald, Ryan D. Stewart, Zeli Tan, Jianlin Zhao, Daniel L. Evans, Guangju Zhao, Nufang Fang, Wenyi Sun, Chao Yue, & Ben Bond-Lamberty https://doi.org/10.5281/zenodo.6324809

Model code and software

Jinshijian/AWESOME: Archive for Water Erosion and Sediment Outflow MEasurements (v2.0.0) Jinshi Jian, Xuan Du, Juying Jiao, Xiaohua Ren, Karl Auerswald, Ryan D. Stewart, Zeli Tan, Jianlin Zhao, Daniel L. Evans, Guangju Zhao, Nufang Fang, Wenyi Sun, Chao Yue, & Ben Bond-Lamberty https://doi.org/10.5281/zenodo.6324809

Jinshi Jian et al.

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Short summary
Field soil loss and sediment yield due to surface runoff observations were compiled into a database named AWESOME: Archive for Water Erosion and Sediment Outflow MEasurements. Annual soil erosion data from 1985 geographic sites and 75 countries have been compiled into AWESOME. This database aims to be an open framework for the scientific community to share field-based annual soil erosion measurements, enabling better understanding of the spatial and temporal variability of annual soil erosion.