Use of archived data to derive soil health and water quality indicators for monitoring shifts in natural resources

Author:

Fortuna Ann‐Marie1ORCID,Starks Patrick J.1ORCID,Moriasi Daniel N.1ORCID,Steiner Jean L.12ORCID

Affiliation:

1. USDA‐ARS, Plains Area, Oklahoma and Central Plains Agricultural Research Center, Agroclimate and Hydraulics Engineering Research Unit 7207 W. Cheyenne St. El Reno Oklahoma 73036 USA

2. Department of Agronomy Kansas State University, 2004 Throckmorton PSC. 1712 Claflin Road Manhattan Kansas 66506 USA

Abstract

AbstractCurrent gaps impeding researchers from developing a soil and watershed health nexus include design of long‐term field‐scale experiments and statistical methodologies that link soil health indicators (SHI) with water quality indicators (WQI). Land cover is often used to predict WQI but may not reflect the effects of previous management such as legacy fertilizer applications, disturbance, and shifts in plant populations) and soil texture. Our research objectives were to use nonparametric Spearman rank‐order correlations to identify SHI and WQI that were related across the Fort Cobb Reservoir experimental watershed (FCREW); use the resulting rho (r) and p values (P) to explore potential drivers of SHI‐WQI relationships, specifically land use, management, and inherent properties (soil texture, aspect, elevation, slope); and interpret findings to make recommendations regarding assessment of the sustainability of land use and management. The SHI values used in the correlation matrix were weighted by soil texture and land management. The SHI that were significantly correlated with one or more WQI were available water capacity (AWC), Mehlich III soil P, and the sand to clay ratio (S:C). Mehlich III soil P was highly correlated with three WQI: total dissolved solids (TDS) (0.80; P < 0.01), electrical conductivity of water (EC‐H2O) (0.79; P < 0.01), and water nitrates (NO3‐H2O) (0.76; P < 0.01). The correlations verified that soil texture and management jointly influence water quality (WQ), but the size of the soils dataset prohibited determination of the specific processes. Adoption of conservation tillage and grasslands within the FCREW improved WQ such that water samples met the U.S. Environmental Protection Agency (EPA) drinking water standards. Future research should integrate current WQI sampling sites into an edge‐of‐field design representing all management by soil series combinations within the FCREW.

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Pollution,Waste Management and Disposal,Water Science and Technology,Environmental Engineering

Reference60 articles.

1. Soil Health Indicators Under Climate Change: A Review of Current Knowledge

2. Determinants of Declining Water Quality

3. Brady N. C. &Weil R. R.(2004).Elements of the nature and properties of soils.

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3