Laboratory Methods for Soil Health Analysis, Volume 2. Группа авторов

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Название Laboratory Methods for Soil Health Analysis, Volume 2
Автор произведения Группа авторов
Жанр Биология
Серия
Издательство Биология
Год выпуска 0
isbn 9780891189862



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important to collect samples at approximately the same time of year or under similar weather patterns to minimize variation in soil water content and temperature (Dick et al., 1996).

      After deciding to implement a soil health assessment, it is important to carefully consider and document every aspect of the experimental design, sampling protocols, and how the samples will be handled. Each set of protocols is inherently project‐specific, underscoring the importance of thorough documentation for future reference. As a guideline for this chapter, protocols adapted from the USDA‐ARS GRACEnet (Greenhouse gas Reduction through Agricultural Carbon Enhancement network) project are listed below (Liebig et al, 2010). Additional guidelines can also be found in Boone et al. (1999) and Dick et al. (1996).

      Sampling decisions will vary based on assessment objective(s), geographic location, investigator preferences, and/or agroecosystem attributes. For initial soil health samplings, extra care is warranted since those data will ultimately be referenced as baseline data against which long‐term changes in soil properties are measured. After selecting an appropriate sampling design, the best approach for sample collection in order to meet project goals and soil conditions should be determined and documented in the metadata. For example, mechanical coring devices (handheld or machine‐driven) will often be used because they permit rapid collection of soil samples with a uniform cross‐sectional area. However, for soils with high near‐surface sand content or excessive stones, a compliant cavity method may be a preferable approach (USDA‐NRCS, 2004).

      After carefully collecting soil samples, they should be placed in labeled plastic bags, sealed, stored in coolers with ice packs, and transported promptly to a laboratory where they can be held in cold storage (5 °C) until processed. Thick‐gauge polyethylene or double bags may be required to limit moisture loss.

      Processing protocols should minimize changes in soil properties. For biological attributes, storage time even at 5 °C should be minimized. If extended storage of biological samples is necessary, freezing at −20 °C is recommended over air‐drying (Sun et al., 2015). For chemical soil health indicators, samples can be air‐dried at 35 °C for 3 to 4 d before sieving to remove rocks, root fragments, and non‐soil material. Some soil physical indicators (e.g. bulk density) should be determined using non‐disturbed samples, while coarse (~8 mm) sieving can be used to prepare samples for aggregate stability analysis (Vol. 2, Chapters 4 and 5).

      Soil‐related information gathered during a field evaluation is strongly influenced by the approach taken, and much like the selection of sampling designs, the evaluator should be aware of tradeoffs associated with the selected approach. Therefore, attributes of field evaluations and their capacity to meet stated objectives should be carefully considered by the land manager prior to initiating assessments.

      General Field Observations

      Field‐scale soil health assessments should begin with general field observations such as aboveground biomass, plant growth characteristics and soil conditions. Since these observations are generally part of normal field management practices, they are a logical first step during soil health assessments to determine if more detailed, follow‐up evaluations are warranted. Moreover, much of this information may be obtained through conversations with the land manager. Common field observations outlined by Magdoff and Van Es (2009) include:

       Are yields declining?

       Do crops perform less well than those on neighboring farms with similar soils?

       Do crops quickly show signs of stress or stunted growth during wet or dry periods?Figure 2.2 Generalized approaches to field evaluations of soil health. USDA‐NRCS photo credits: Field observations – Roberto Luciano; Visual soil evaluations – Roberto Luciano; Test kits – Susan Samson‐Liebig; Sensor‐based measurements – Keith Anderson.

       Are there symptoms of nutrient deficiencies?

       Are there increased problems with diseases or weeds?

       Does the soil appear compacted?

       Does it take more power to run field equipment through the soil?

       Does the soil crust over easily?

       Are there signs of runoff and erosion?

       Are there changes in soil color?

      On‐the‐ground observations of crop and soil conditions can be supplemented with aerial imagery to help identify potential production and environmental issues (Schepers et al., 2004). Doing so can efficiently guide follow‐up evaluations and potential management interventions in affected areas if image locations are georeferenced.

      Soil health scorecards and other semi‐quantitative evaluation approaches have been developed for many states in the USA following a collaborative process including farmers, conservationists, and scientists to identify relevant indicators and ranking criteria (USDA‐NRCS, 1999). Property‐specific pocket charts have also been developed based on associations between descriptive assessments and laboratory measurements (e.g, soil color categories with ranges of organic matter content) (Alexander, 1971). However, broad application of pocket charts for soil quality assessment has been limited because of the complexity and variability among soils. In the case of soil color, associations with soil organic matter content vary strongly with texture, soil depth, and land use (Wills et al., 2007), thereby constraining chart use to a limited geographical domain.

      Visual Soil Evaluations

      Visual soil evaluations are important components of soil health assessment. If done thoroughly and in a quantitative manner, visual soil evaluations can be integrated with broader land evaluation frameworks (Mueller et al., 2012; Pellant et al., 2020). As there are multiple soil evaluation methods currently in use (Ball