Soil Health Analysis, Set. Группа авторов

Soil Health Analysis, Set - Группа авторов


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earth: Soil and society in nineteenth‐century America. New York: Hill and Wang.

      57 Stone, D., Ritz, K., Griffiths, B.G., Orgiazzi, A., and Creamer, R.E. (2016). Selection of biological indicators appropriate for European soil monitoring. Appl. Soil Ecol. 97, 12–22. doi:10.1016/j.apsoil.2015.08.005

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      59 USDA NRCS. (2019a). National conservation practice standards. Washington, D.C.: USDA‐NRCS. https://www.nrcs.usda.gov/wps/portal/nrcs/main/national/technical/cp/ncps/

      60 USDA NRCS. 2019b. Soil health management. Washington, D.C.: USDA‐NRCS. https://www.nrcs.usda.gov/wps/portal/nrcs/main/soils/health/mgnt/

      61 van Es, H.M., and Karlen, D.L. (2019). Reanalysis validates soil health indicator sensitivity and correlation with long‐term crop yields. Soil Sci. Soc. Am. J. 83(3), 721–732. doi:10.2136/sssaj2018.09.0338

      62 Veum, K.S., K.W. Goyne, R.J. Kremer, Miles, R.J., and Sudduth, K.A. (2014). Biological indicators of soil quality and soil organic matter characteristics in an agricultural management continuum. Biogeochemistry 117(1), 81–99. doi:10.1007/s10533‐013‐9868‐7

      63 Veum, K.S., Kremer, R.J., Sudduth, K.A., Kitchen, N.R., Lerch, R.N., Baffaut, C., Stott, D.E., Karlen, D.L., and Sadler, E.J. (2015). Conservation effects on soil quality indicators in the Missouri Salt River Basin. J. Soil Water Conserv. 70(4), 232–246. doi:10.2489/jswc.70.4.232

      64 VeVerka, J.S., Udawatta, R.P., and Kremer, R.J. (2019). Soil health indicator responses on Missouri claypan soils affected by landscape position, depth, and management practices. J. Soil Water Conserv. 74(2), 126–137. doi:10.2489/jswc.74.2.126

      65 Williams, A., Kane, D.A., Ewing, P.M., Atwood, L.W., Jilling, A., Li, M., Lou, Y., Davis, A.S., Grandy, A.S., Huedi, S.C., Hunter, M.C., Koide, R.T., Mortensen, D.A., Smith, R.G., Snapp, S.S., Spokas, K.A., Yannarell, A.C., and Jordan, N.R. (2016). Soil functional zone management: A vehicle for enhancing production and soil ecosystem services in row‐crop agroecosystems. Front. Plant Sci. 7, 1–65. doi:10.3389/fpls.2016.00065

      66 Wolde, B. Lal, P., Alavaapati, J., Burli, P., and Iranah, P. (2016). Soil and water conservation using the socioeconomics, sustainability concerns, and policy preference for residual biomass harvest. J. Soil Water Conserv. 71(6):476–483. doi:10.2489/jswc.71.6.476

       Jane M.‐F. Johnson and Maysoon M. Mikha

      Soil health, also called soil quality, has both inherent edaphic components and dynamic properties, which interact with management and climatic affects (Karlen, Ditzler, & Andrews, 2003). Inherent soil characterization has been an integral part of potential land use assessments for decades. In contrast, the concept of soil health has evolved with a primary focus on agronomic productivity but including effects on plant nutrition and ultimately the effects on human health (Robinson et al., 2017).

      Discussions of soil assessment often focus on the suitability of indicators or attribute data but fail to adequately address the metadata (Bünemann et al., 2018). Attribute data reflects the anticipated or actual response to management practices and are related to indices of soil health (Askari & Holden, 2015). However, metadata provides the information needed to establish a context for accurately interpreting indicator data, thereby facilitating synthesis and integration of experimental results across time and/or space.

      Furthermore, an excellent example of both the importance and use of metadata can be found by examining the USDA–ARS Greenhouse Reduction through Agricultural Enhancement network (GRACEnet) protocols. GRACEnet was developed to answer questions related to agricultural soil C stocks in the context of greenhouse gas mitigation (Del Grosso et al., 2013; Jawson, Shafer, Franzluebbers, Parkin, & Follett, 2005; Liebig, Franzluebbers, & Follett, 2012, p. 547). When organizing this large, complex, multisite project, empirical data collectors, data users, data synthesizer, and modelers worked together to identify the metadata they considered necessary to interpret and model the attribute data. The output of GRACEnet organization meetings established a set of metadata and indicator (measurement) data that can be used to assess the impact of management on soil organic C (SOC). The linkage between SOC and soil health through metadata was first emphasized by Doran (2002), because it is the metadata that can help to logically interpret SOC changes and their effect on soil health.

      Site Description

      Site description includes high‐level information needed to understand whether soil properties and processes are static or change slowly (Liebig, Varvel, & Honeycutt, 2010) at a given site. This includes location, soil characteristics, experimental objectives and design, and climatic and weather data.

Site description
Location Soil characterization Experimental descriptors Climatic data Weather
City, state, country soil taxonomic description experimental design mean annual temperature nearest weather station location
Latitude, longitude, and elevation