Читать книгу Soil Health Analysis, Set - Группа авторов - Страница 49

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.

Soil health or perhaps even more importantly changes in soil properties (i.e., measured attribute data) that describe soil health inherently require a geospatial and temporal context. Spatial components include the site description, topographical data, and inherent soil parameters. Temporal data describe when the data were collected. This is important because granularity of temporal measurements differ at vastly different scales ranging from nearly instantaneous to seasonal or even yearly depending on the parameter being evaluated. Metadata should also include a wide range of edaphic parameters.

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.

The GRACEnet effort developed a data entry template (DET) to assist in collating meta and attribute data from multiple users (Del Grosso et al., 2013). The DET has been modified to meet a range of experimental purposes (Delgado et al., 2016; Del Grosso et al., 2013; Liebig et al., 2016) but recommends the characterization or metadata collected that has to be conserved: site description, soil characterization, management, climate, and sampling and analysis methods (Table 4.1). The DET thus provides a prime example of the metadata needed to adequately interpret soil parameters when striving to describe or assess soil health.