Land Quality Indicators for Sustainable Land Management:

Nutrient Balance

 

 

J.J. Stoorvogel

Lab. of Soil Science and Geology, Wageningen Agricultural University

P.O. Box 37, 6700 AA Wageningen, The Netherlands

E-mail: jetse.stoorvogel@bodlan.beng.wau.nl

 

Abstract

 

Guidelines for estimating the soil nutrient balance at the continental, regional, and national level are presented. Indicators for soil nutrient depletion are evaluated and procedures for their quantification are discussed.

 

Introduction

 

In many cases soil nutrient balances are not in equilibrium. Increasingly, farming systems in the tropics experience production losses as a result of decreasing soil fertility, whereas nutrient leaching as a result of nutrient accumulation is increasingly experienced in western, high input agriculture. Although the process of nutrient depletion is generally slow and no abrupt changes in soil fertility occur, the loss of agricultural production can be significant. On the other hand, the risk for nutrient leaching may increase when nutrients accumulate in the soil. How best to address the issues of nutrient depletion and accumulation is not an easy task. Do we need to restore soil nutrient stocks to a specific fertility level, or can we stabilize the process of soil nutrient depletion or accumulation? In case of the restoration of soil fertility, what is the preferred fertility target, and how should this be reached?

Many agronomic practices are available that permit farmers to manage their soil nutrient balance. At the same time, but at another scale level, policy makers have access to a wide range of tools to influence land allocation decisions as well as soil management decisions of farmers. These policy measures range from the intensive margin where management is controlled through regulations to the extensive margin where soil management is influenced indirectly through e.g. incentives and price regulations. Before identifying the preferred intervention(s), it is essential that the rate of soil nutrient depletion or accumulation is quantified through a soil nutrient balance indicator. Only then the required nutrient management strategies can be defined.

The accuracy with which we would like to quantify soil nutrient balances depends on the scale and objectives of the questions being resolved. At continental scales, the objective may be to create awareness of the extent of soil nutrient depletion. Broad, qualitative classes as used by Stoorvogel and Smaling (1990; High, Intermediate and Low) may be sufficient. At the country level, a land quality indicator for soil nutrient depletion can be used for different objectives. For planning purposes, it is necessary to identify of problem areas to focus research and target specific action. This screening process can be based on a number of general classes and well-defined threshold values (see for example in Smaling et al., 1992). Also at the national level, the depletion of natural resources (Solorzano et al., 1991) can be accounted for in the national financial budget. Economists have identified the importance of environmental accounting in the use of natural resources, but operational indicators such as soil nutrient depletion are required.

At more detailed scales, e.g. community level and farm level, planning to maintain soil nutrient stocks, and avoiding either depletion or overfertilization and associated environmental damage is an important decision in maintaining farm level sustainability (see e.g. van de Pol, 1993). At this level, alternative agricultural technologies, such as integrated nutrient mangement and various types of soil husbandry and other agricultural practices need to be screened, and their impacts on soil nutrient stocks and flows determined. These decisions clearly require quantitative estimates of soil nutrient depletion, and broad qualitative classifications are not adequate. Soil testing results are often helpful at this level. Figure 1 summarizes the different scale levels and illustrates some of the objectives for the estimation of soil nutrient depletion.

Figure 1: Objectives for the estimation of soil nutrient depletion at different temporal and spatial scales

 

Considerations for Calculating Soil Nutrient Balance

 

Land quality indicators are required at different scale levels. Although aggregation procedures can be used for certain scales of indicators, policy makers often require estimates at specific scales, and do not want to be confused with too much details at underlying scales. A generic procedure based on an accounting exercise of the different inputs and outputs (stocks and flows) of soil nutrients is recommended for calculating soil nutrient balance (Stoorvogel and Smaling (1991). The methodology involves separate assessments of major inputs and outputs of nutrients (Table 1).

 

 

Table 1: Input and output parameters determining the soil nutrient balance

Input

 

Output

In 1

Mineral fertilizer

Out 1

Crop products

In 2

Organic fertilizer

Out 2

Crop residues

In 3

Wet and dry deposition

Out 3

Leaching

In 4

Nitrogen fixation

Out 4

Gaseouses losses

In 5

Sedimentation

Out 5

Soil erosion

 

 

A minimum data set is required for different levels of detail, but the basic requirements are a soil map, production figures and some basic characteristics of land use systems. If more data are available, the procedure will perform the calculations with a higher degree of detail. An essential addendum is that the procedure needs to include an estimation of the accuracy, and that it adapts automatically to the appropriate level of detail in the outputs of the indicator.

 

Indicators for soil nutrient balance

 

The loss of nutrients as calculated by the net balance of nutrient inputs and outputs is not a good indicator for the sustainability of agricultural systems, in many cases. In Figure 2 shows the effect of similar rates of soil nutrient depletion on a fertile (soil A) and an infertile soil (Soil B). The shaded area represents soil nutrient stocks with concentrations that are limiting for plant growth. Although both soils have similar soil nutrient depletion rates, Soil B will have a nutrient limiting situations much sooner than soil A.

 

Figure 2 Effect of similar depletion rates on a fertile (soil A) and an infertile soil (Soil B)

 

Table 2 presents a qualitative approach towards the classification of soil nutrient balances on the basis of the balance as well as the soil nutrient stocks, the adsoption capacity of the soil and the crop requierments.

 

Table 2 Qualitative classification of soil nutrient balances (adapted after Smaling et al., 1996)

Class I: S in - S out > 0

Class Ia : N and P balance > adsorption capacity of the soil

Class Ib : N or P balance > adsorption capacity of the soil

Class Ic : N and P balance << adsorption capacity of the soil

Class II: S in - S out » 0

 

Class III: S in - S out < 0

Class IIIa: plant available N and P > crop requirements

Class IIIb: plant available N or P > crop requirements

Class IIIc: plant available N and P < crop requirements

 

However, other, more quantitative indicators can be developed using, for example, the relative change in soil nutrient stocks. If the study aims at the long-term effects nutrient depletion may be compared with total nutrient stocks including the not readily available fraction of the nutrients. In the case of shorter time horizons, however, weathering and mineralization can not keep up with nutrient losses and the stocks of readily available nutrients can be used.

Other indicators for nutrient depletion include actual land use and critical levels at which a certain nutrient becomes limiting for current land use (). They indicate the rate at which the nutrient surplus, i.e. the amount of nutrients above the critical level, is depleted. :

If is larger than 40%, for example, it is likely that the nutrient stock will become limiting within a few years. If is small, it can be concluded that under current management no nutrient limiting situation will occur in the near future.

 

 

Table 3. A qualitative classification scheme for soil nutrient depletion in relation with the soil nutrient stock

Soil nutrient stock

Nutrient depletion

Very small

Small

Moderate

Large

Very large

Very low

3

2

1

0

0

Low

4

3

2

1

0

Moderate

5

4

3

2

1

High

6

5

4

3

2

Very High

6

6

5

4

3

 

0

Nutrient depletion almost negligible compared to soil nutrient stock: no effects to be expected in the future

1

 

2

 

3

 

4

 

5

 

6

Extremely high nutrient depletion: immediate action required

 

Data requirements for calculating nutrient balance

 

Availability of data generally determines the procedures for estimating soil nutrient balance at the supra-national level. The FAO, for example, provides data on production areas, production levels (FAO, 1989) and fertilizer inputs (FAO, 1987). Other input data can be obtained from small-scale soil surveys, such as the 1:5 million soil map of the world (FAO, 1977), and agro-climatic maps (FAO, 1978). Also, some general data on agricultural management practices in relation to manure, crop residue management and other sources of nutrients can be obtained from research studies. Although estimates of soil nutrient balance at this scale level are often questioned as to their usefulness, they are often good indicators creating awareness and for scenario-based studies indicating the distortions of nutrient stocks and flows. At larger scales, national databases are often available, although the quality and amount of data varies per country. As a result, the level of detail in the procedure that can be reached is highly variable.

Quantitative information on IN 3, OUT 3 and OUT 4 is often difficult to obtain. In these cases, transfer functions are recommended (Stoorvogel and Smaling, 1990), which in many cases are regression equations in which the nutrient flow is explained by independent variables which have been measured (t2), or they may be physical process models. These normally include basic building blocks such as rainfall, soil fertility class, fertilizer, and manure use.

 

Sample calculations

 

The quantification of the individual flows of the soil nutrient balance, i.e. IN 1-5 and OUT 1-5, requires different approaches. The input data used depends very much on the scale of analysis and the data availability. Although data on, for example, crop production are incorporated in national statistics and/or regional databases, a number of required management data as well as values for leaching are typically not known. These data can be estimated using transfer functions. A general description for the different flows follows below (after Stoorvogel and Smaling, 1990).

Nutrient inputs from mineral fertiliser (IN 1) can be derived from agricultural statistics or obtained from surveys, depending on scale level. Dessaggregation of those figures for different land use systems might be necessary. Inputs from manure and other organic fertilisers (IN 2) depend prevailing livestock management systems. Deposition by rain and dust (IN 3) is generally not readily available, but transfer functions have been derived based on precipitation (Stoorvogel and Smaling, 1990). Nitrogen fixation (IN 4) is estimated as a fixed percentage of the total nitrogen uptake of leguminous crops and depends on the cropping pattern. Additionally, crops benefit from small amounts of nitrogen, which are fixed non-symbiotically. Sedimentation (IN 5) is relevant only to areas that are naturally-flooded or irrigated. Naturally flooded areas are assumed not to be depleting. Irrigated areas have a fixed input for sedimentation.

Nutrients in harvested products (OUT 1) are derived from crop specific nutrient contents and yield obtained from agricultural statistics. Removed crop residues (OUT 2) are related to production figures whereby a certain amount of residues is left in the fields. Leaching (OUT 3) applies to nitrogen and potassium and is correlated with soil fertility, fertiliser application, crop nutrient uptake, soil clay content and precipitation (Stoorvogel and Smaling, 1990). Gaseous losses (OUT 4) are related to the same factors as leaching. Nutrient losses through soil erosion (OUT 5) are obtained by multiplying soil loss with soil nutrient content. An enrichment factor is applied to account for the difference in nutrient content between the sediment and the original soil material.

 

Reporting format

 

The LQI study to the soil nutrient balance indicator aims at a generic procedure that enables users at different scale levels to quantify the rate of change in soil fertility. The output of the study initiated and sponsored by the World Bank will be a guideline on the usage of the tool. The procedures that will be followed in the quantification of the tool are based on a holistic systems-oriented approach. Data availability varies with scale and with different geographic regions. The quality of the LQI assessment will vary accordingly. It is therefore extremely important that a quality assessment is incorporated in the procedure and in the results.

 

References

 

FAO (1977) FAO/Unesco soil map of the world, 1: 5 000 000. Vol. VI: Africa. Paris: Unesco

FAO (1978) Report on the agro-ecological zones project. Vol. I, Methodology and results for Africa. World Soil Resources Report 48. Rome: FAO

FAO (1987) FAO fertilizer yearbook, Vol. 36. FAO Statistics Series No. 77. Rome: FAO

FAO (1989) FAO production yearbook, Vol. 37, 1987. FAO Statistics Series No. 88. Rome: FAO

Hoosbeek MR and Bryant R (1992) Towards the quantitative modelling of pedogenesis - a review. Geoderma 55: 183-210

Smaling EMA and Fresco LO (1993) A decision support model for monitoring nutrient balances under agricultural land use (NUTMON). Geoderma 60: 235-256

Smaling EMA Stoorvogel JJ and Windmeyer PN (1993) Calculating soil nutrient balances in Africa at different scales. II. District scale. Fertilizer Research 35: 237-250

Smaling EMA and Oenema O (1996) Estimating nutrient balances in agroecosystems at different spatial scales. Adv Soil Sci (in press)

Solorzano R, de Camino R, Woodward R, Tosi J, Watson V, Vásquez A, Villalobos C, Jiménez J, Repettom R, and Cruz W (1991). Accounts overdue: natural resource depreciation in Costa Rica. Tropical Science Center, San José Costa Rica & World Institute, Washington DC

Stoorvogel JJ and Smaling EMA (1990) Assessment of soil nutrient depletion in Sub-Saharan Africa: 1983-2000. Report 28. Wageningen, The Netherlands: The Winand Staring Centre for Integrated Land, Soil and Water Research

Van der Pol F (1992) Soil Mining: An Unseen Contributor to Farm Income in Southern Mali. Bulletin 325. Amsterdam, The Netherlands: Royal Tropical Institute (KIT)