189
Views
3
CrossRef citations to date
0
Altmetric
Research Note

Are SSURGO organic matter estimates reliable for cold arid steppes? Implications for rangeland soil health

&
Pages 468-475 | Received 07 Sep 2018, Accepted 19 Jan 2019, Published online: 21 Feb 2019
 

Abstract

The SSURGO (Soil Survey Geographic Database)-based Web Soil Survey (WSS) is a geospatial tool for managers to assess soil properties and make management decisions, presumably without field sampling. To determine whether WSS percent organic matter (%OM) estimates were reliable in cold arid rangelands, we sampled soils at a northern mixed-grass prairie site and a sagebrush-steppe site in Wyoming, USA. Loss on ignition testing was used to determine soil %OM. Field samples contained higher %OM than WSS %OM estimates and did not covary with WSS %OM estimates. Baseline sampling is necessary prior to management in order to detect %OM changes.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by, the Natural Resources Conservation Service, through the Sustainable Rangelands Roundtable. Additional support was provided by the University of Wyoming Department of Ecosystem Science and Management and College of Agriculture and Natural Resources through a USDA National Institute of Food and Agriculture McIntire Stennis Project – ‘Animal-plant interaction ecology on Wyoming Rangelands’ (2015–2020, Project# WYO-559-15). Additional support was provided by University of Wyoming Extension.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 374.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.