Soil
quality assessment methods
Three (3) types of soil
quality assessment approaches are in vogue.
1. Modeling
based approach
2. Indicator
based approach
Modeling based approach
The
models provide a tool for predicting the change in outcome caused by the
changes in input parameters. By using land-evaluation models, it is possible to
predict the rates and direction of many soil-quality changes.
The
two principal land-evaluation modeling approaches are:
(i)
Empirical-based modeling, and
(ii)
Process-based modeling.
The
basic idea of empirical modeling for land evaluation is that observed relations
are quantified and these once analyzed (i.e., in a limited number of locations)
are applicable for predicting future situations. However, this will not work
unless there are sufficient data on which to base the inferences, so the
methodology is not appropriate for new land uses or areas from which sufficient
samples have not been taken.
The
process-based models for land evaluation have been basically developed to
simulate the growth of crops, along with associated phenomena that influence
crop growth such as water and solute movement in soil. These simulation models
are deterministic and based on an understanding of the actual mechanisms, but
used to include a large empirical component in their descriptions of
subsystems. The so-called Wageningen models (e.g., WOFOST and CGMS) are based on soil processes and
plant physiology to predict yields under several production levels.
But, since soil formation and soil processes
are function of climate, modeling based approach will not hold universally
fitting, i.e., a model developed for a particular region will not hold true for
a land situation under altogether different macro-climatic or, even, micro-climatic
conditions.
Indicator based approach
Indicator based soil quality assessment is
much more widely acceptable one than modeling based approach. Indicators can be physical, chemical, and biological properties,
processes, or characteristics of soils. They can also be morphological or
visual features of plants. Selection of suitable indicators is the cornerstone
of this type of evaluation.
The
selection of indicators should be based on,
(i)
Land
use,
(ii)
Relationship
between an indicator and the soil function being assessed,
(iii)
Ease
and reliability of the measurement,
(iv)
Variation
between sampling times and variation across the sampling area,
(v)
Sensitivity
of the measurement to changes in soil management,
(vi)
Compatibility
with routine sampling and monitoring,
(vii)
Skills
required for use and interpretation.
(viii) Cost of analysis
The
list of different indicators to choose from as suggested by USDA is as below,
Physical
Chemical Properties
Biological
Properties
The weaknesses of this approach are,
1.
Working
with a whole lot of indicators is arduous
2.
Extraction
of a Minimum Data Set (MDS), since done by statistical procedures, is subjected
heavily to sampling and analytical accuracy.
3.
This does
not take into account the interrelation or interaction between two or more
interrelated indicators.
4.
It is not
farmers’ centric per se, i.e., farmers
perspectives regarding quality of their soil is given less scope. Only ease of
estimation of an indicator is considered from farmers’ viewpoint.
Integrated approach
Considering
the onerous task of development of relationships between all the soil-quality
indicators and the numerous soil functions, a stepwise agroecological approach
for soil-quality evaluation and monitoring can be much effective as well as
accurate as proposed by De la Rosa (2005).
This
is done in two steps,
Step
1:
Land
evaluation is an appropriate procedure for analyzing inherent soil quality from
the point of view of long-term agroecological changes. Within this complex
context, land-evaluation models may serve as a first step to develop a soil quality
assessment procedure. The first step will result in defining agroecological
zones, land suitability, and vulnerability classes.
Step
2:
A
short-term evaluation and monitoring procedure would be basically considered
for the soil biological quality in each agroecological zone defined in the
first step. By measuring appropriate indicators, changes in soil dynamic
quality can be assessed.
Because
soil biological parameters are most variable and sensitive to management
practices, a monitoring system (observed change over time) would provide
information on the effectiveness of the selected farming system, land-use
practices, technologies, and policies. Also, enzyme activities have been found
to be very responsive to different agricultural management practices such as no-tillage.
Because
of the complex nature of the soil and its high spatial and temporal
variability, it is appropriate to develop soil-quality assessment based on
biological indicators after the traditional land evaluation using basically
physicochemical parameters. This agroecological approach should focus on
dynamic soil aspects (biological factors) but with awareness of inherent soil
aspects (physical and chemical factors).
Graphical representation of a stepwise agroecological approach for
soil-quality assessment
(Soil
Quality and Methods for its Assessment: Diego De la Rosa and Ramon Sobral, https://www.google.co.in/?gws_rd=ssl#q=Soil+Quality+and+Methods+for+its+Assessment:+Diego+De+la+Rosa+and+Ramon+Sobral)
General
remarks
The issue I wish to drive in additionally emphasizing gaps in our understanding for assessment of soil health is that we possibly never take into consideration the ‘interaction’ between different indicators. To elaborate this issue I stress upon the fact that we make measurement of the static indicators. Especially in respect of soil physical and biological/ enzymatic aspects, the interactions among the indicators, though may play vital role in crop productivity function, remain completely overlooked. This, to my understanding, needs focus for the future workers through detailed discussion among the relevant scientists to unravel major areas of such interactions in the first place. This will possibly further entail significant overhauling of the measurement and assessment techniques currently in vogue.
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