4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4):
Problems, Prospects and Research Needs. Banff, Alberta, Canada, September 2 - 8, 2000.


Integrating climate, soil and crop information:

a land suitability study using GIS

GIS/EM4 No. 129

Abdolali Ghaffari
Hadrian F. Cook
Howard C.Lee

Abstract

Assessing the suitability of an area for crop production requires a considerable effort in terms of information collection that presents both opportunities and limitations to decision-makers. A GIS has been used to match the suitability for main crop potatoes based on the biological requirements of the crop and the quality and characteristics of land. The Stour Catchment, Kent, UK is the study area. The methodology adopted combines climate, and those land quality attributes that most influence crop suitability (long-term average annual rainfall, accumulated temperature, field capacity duration, topography data (slope and altitude) and soil-water deficit). Good management is assumed; including the use of appropriate crop varieties, fertilisers and sowing date and irrigation. Social and economic factors are excluded. Overall suitability is recognised by the Simple Limitation Approach (SLA) in preference to a weighted GIS model that scores attributes. The results show that 58% of the area is 'highly' or 'moderately' suitable for main crop potatoes.

Keywords

Land suitability, potato, climate, soil, Simple Limitation Approach (SLA), GIS.


Introduction

It has long been recognised that land suitability is assessed as part of a 'rational' cropping system (FAO 1976) and optimising the use of a piece of land for a specified use (Sys et. al. 1991) should be based upon its attributes (Rossiter 1996). Furthermore, land may be considered either in its present condition, or after specified improvements. Although criteria may vary, they are essentially based on climate, soil, topography and water availability which are the most important categories of environmental information required for judging land suitability.

The integration of climate-soil-site modelling using Geographic Information Systems (GIS) is finding increasing application in crop-specific modelling of agricultural production. It is necessary to establish the best regime for the range of conditions which may be sub-optimal (but still acceptable), and also those which are deemed unsatisfactory. For instance, Van Lanen et. al. (1992) assessed the suitability of Dutch land for potato by a mixed qualitative/quantitative evaluation approach, and found about 65% of the area to be potentially suitable. This 'mixed evaluation' approach predominantly uses geographically referenced input data; therefore a linkage with GIS is a prerequisite for its efficient use. Liengsakul et. al. (1993) compared GIS and digital remote sensing methods for locating new sites for permanent cropland in the highlands of northern Thailand with the older methods currently in use. The results show that, apart from considerable time saving and improvements in data quality, the integrated information can locate potential new cropland sites. Boje et. al. (1998) calculated the actual and potential lowland suitabilities for nine different food crops in NW-Tanzania, finding the local food crop priorities disagree strongly with climatic suitability.

This study presents a GIS-based land suitability model based upon a 'Simple Limitation Approach (SLA)'. This evaluates the capabilities of the study area for main crop potatoes, as a main summer crop cultivated under temperate conditions. Suitability for this crop was determined, based on matching the biological requirements of crop to the quality and characteristics of land within the Stour Catchment, Kent, UK. The methodology adopted combines most aspects of climate, site and soil attributes that influence crop suitability appropriate to Western Europe.

Material and methods

Study area

This is the Stour Catchment and the Isle of Thanet in the north-eastern corner of Kent, UK. It is located between 51º 04' to 51º 24' N and 00º 40' to 01º 27' E. The area exceeds 1000 km2 and altitude varies, between 0 and 201 m above Ordnance Datum.

Soil

Complete coverage of soil survey data is only available for England and Wales at a scale of 1:250,000 (Potter et. al. 1993) and soil information at this scale is presented in terms of soil association (geographically associated soils) rather than a true soil series (describing soils alike in soil characteristics behaviour). Drift geology maps were therefore used as a surrogate for soil survey data (Cook 1991, Osborn and Cook 1997), because these maps provided better spatial resolution (1:50,000) than soil survey maps (1:250,000) and drift geology is convertible into soil survey criteria. Whole or some parts of solid and drift geology maps of sheets: 273, 274, 288, 289, 290, 305 and 396 at a scale of 1:50,000, published by the Geological Survey of Great Britain (England and Wales), were digitised and stored in GIS. These maps, with more than 30,000 polygons, were converted to a soil base map.

Eighteen soil series are distinguished in this study. Soil attribute data (soil texture, pH, etc.) have been compiled from previous accounts (Jarvis et. al. 1984, Green and Fordham 1973, Fordham and Green 1980, Totolo 1995). Characteristics of the dominant or 'lead' soil series were either provided by the soil profile data (e.g. soil texture and depth as single factor maps), or were derived by an interpretation procedure (e.g. drainage and leaching classes). For instance, drainage class is determined based on geology and parent material, with Class I being the best drained land and class IV the worst.

Topography

Topographical maps are used to select site slopes and altitude information relevant to land suitability. This study used a landform panorama Digital Terrain Model (DTM) of raster format, 10 m resolution, supplied by the Ordnance Survey of Britain.

Climate

The most important climate characteristics are temperature, rainfall, radiation balance, wind, relative humidity and evaporation. Average accumulated temperature above 0 °C between January to June (1961-1980), field capacity duration (FCD) and also, soil water deficit (1941-1970) for both crops were recorded for each 5 km intersection of the National Grid and accessed via the MORECS database (The Met. Office 1989). This information was used as point data for GIS in order to generate agro-climatic maps.

Interactive limitations

The physical limitations which result from interactions between climate, site and soil, are the extremes of wetness and droughtiness. For land suitability purposes, these were assessed separately by relating soil profile characteristics to appropriate climatic parameters.

Wetness is an extremely important characteristic because it combines soil, topographic and climate interactions. It takes into account the drainage class of the profile, the texture of the topsoil and the climatic parameter of the duration of field capacity (FCD). A combination of these variables affects land suitabilities, presented in Table 1. For instance, the wetter the soil (the higher the drainage class), the heavier the topsoil texture and the wetter the climate (high field capacity duration days) the more likely the soil is to be assessed as unsuitable because of limitations and poorer crop growth. 'Droughtiness', on the other hand, is a consequence of complicated interactions of the available water capacity of the soil, crop water requirement and climate (Cook and Dent 1990). Comparing the ability of a soil profile to supply water to crops with dryness of the climate during the growing season, gives an assessment of droughtiness limitations. The method used here to assess droughtiness was based on Thomasson (1979).

Land characteristics and qualities as a basis for evaluation

A mixture of land characteristics (simple attributes of the land that can be directly measured or estimated e.g., topsoil texture) and land qualities were used in this project to indicate the degree of suitability of land for main crop potatoes. Land qualities represent complex attributes of land that acts in a distinct manner in its influence on the suitability of the land for a specified kind of use e.g., soil water availability. The overall suitability is expressed in three classes: highly suitable (HS), moderately suitable (MS) and marginally suitable (MG). Moderately suitable and marginally suitable land was expected to have a crop yield of 60-80% and 40-60% of the yield under optimal conditions with practicable and economic inputs, respectively. Unsuitable (U) land was assumed to have severe limitations which could rarely or never be overcome by economic use of inputs or management practices (FAO 1976, Dent and Young 1981).

Crop characteristics

Crop-specific properties such as the physiological and phenological crop parameters were gathered from literature review, particularly from Jarvis et. al. (1985), MAFF (1988), and Sys et. al. (1993). Climatic, edaphic and site requirements for selecting land suited for the cultivation are shown in Table 1.

Geographical Information Systems (GIS)

The GIS approach used in this study identifies input data for the land suitability models and develops a modelling procedure for processing and output presentation. Digitised maps, the geographical distributions of soils, topography and agroclimatic regions were captured together with attribute data (e.g. soil texture, soil depth for each mapped soil unit). Overlaying was carried out using SPANS and ARC/VIEW softwares. The results are presented as tables and maps. Overall suitability is recognised by the Simple Limitation Approach (SLA) illustrated in Figure 1. This method utilities the concept of "most limiting factor" which corresponds to Leibig's "Law of the Minimum". An example path is displayed in dotted lines. Here, a combination was deemed "highly suitable" in the first four factors. However, soil depth was found to be "moderately suitable" and the slope "unsuitable". The sieving process therefore reported the combination as "unsuitable" in terms of overall suitability (dotted line). It was used in preference to a weighted spatial GIS model derived from scoring attributes (cf. Cook 1991), because it is seldom clear how to derive the weightings of successive overlays.



  Highly Suitable Moderately Suitable Marginally Suitable Unsuitable
Accumulated T (January-June) >1450 °C 1350-1450 °C 1125- 1349 °C <1125 °C

Droughtiness (AP-WD) mm

>+10 (+10) - (-10) (-11) - (30) <-30
Wetness HS MS MG U
Soil depth (m) >0.6 0.46-0.6 0.3-0.45 <0.3
pH (5.6)-(7)

(5.2)-(5.5)

(7.1)-(8)

(5.1)-(4.8)

(8.1)-(8.2)

(<4.8)

(>8.2)

Slope (%) <4 4-6.9 7-11 >11


Table 1. Land suitability criteria for main crop potatoes



AP: crop-adjusted available water capacity of the soil profile, WD: soil water deficit, HS: highly suitable, MS: moderately suitable, MG: marginally suitable, U: unsuitable



Figure 1


Figure 1 Simple Limitation Approach (SLA) used in GIS overlays of single maps to determine overall land suitability for the crops. Acc. T: accumulated temperature, HS: highly suitable, MS: moderately suitable, MG: marginally suitable and U: unsuitable. The dotted line refers to the example in the text.



Findings

Altitude and slope

In the first instance, suitability was assessed in terms of topography. The highest recorded elevation in the study area was 201 m O.D. Elevation alone did not affect land suitability since the whole study area was highly suitable for this crop under consideration. Neither did slope affect land suitability very much. About 4% of the area was marginally suitable with slopes between 7 to 11%. Just 1.23% of the study area had steepest slopes (more than 11%) which were unsuitable for crop production in general.

Wetness

A map of 'wetness' as a criterion for assessing suitability for this crop was produced by overlays of field capacity, drainage class and soil texture. Approximately 66% of the study area was found to be 'highly suitable' with very little 'unsuitable' (Table 2). The 'marginally suitable' land is concentrated in the north-west, south-west and north-east coastal area.

Droughtiness

A 'droughtiness' map (not shown) was produced by overlaying available water and water deficit maps. Table 2 shows 61.23% and 26.92% of the area is placed in 'highly suitable' and 'moderately suitable' categories, respectively. Only 1.99% of the study area was unsuitable and the remainder (9.86%) was in the marginal category.

Accumulated temperature

Accumulated temperature is an important variable affecting land suitability for potato. Although there are no 'unsuitable' areas attributed to this factor, only 30.3% of the study area was 'highly suitable' (Table 2) with 63.6% of the area 'moderately suitable.



 

Highly suitable (%)

Moderately suitable (%)

Marginally suitable (%)

Unsuitable (%)

Accumulated Temperature 30.33 63.60 6.07 0.00
Droughtiness 61.23 26.92 9.86 1.99
Wetness 65.97 18.96 14.79 0.28
Slope 85.88 8.82 4.08 1.23
Soil Depth 74.02 9.87 16.11 0.00
Soil pH 46.25 51.26 2.25 0.24
Overall suitability 10.00 47.70 36.89 5.40


Table 2. Accumulated temperature (January-June), droughtiness, wetness, slope, soil depth and
soil pH as suitability factors for main crop potatoes



Soil depth

The study area contains no unsuitable portions for this crop, but only 74.02% of the area was classified as 'highly suitable'. Around 10% of the area was 'moderately suitable' with the remainder marginally suitable.

Soil pH

Regarding soil pH, 46.26% of the area was 'highly suitable' and minuscule amount was unsuitable.

The suitability map for main crop potatoes under water-limited (rainfed) conditions was created by overlaying accumulated temperature (January-June), droughtiness, wetness, slope, soil pH and soil depth maps (Figure 2). As Table 2 shows, 10% and 47.7% of the study area is 'highly' and 'moderately suitable', respectively. Some 36.89% of the study area was marginally suitable and the remainder unsuitable.

Discussion

Aspects of land suitability for main crop potatoes are determined based on climate, soil and topographic variables. Combining physical land evaluation models through a GIS improves land evaluation models and enables an analysis more relevant to policy-making than the original basic data.

Highly suitable areas have a high potential production and sustainability of yield from year to year. In average years there is an opportunity for establishment at, or near, the optimum sowing time, while harvesting is rarely restricted by poor ground conditions. Even in wet years (up to a frequency of about one in four) working conditions are acceptable and do not prevent crop establishment; yet there are normally sufficient soil water reserves to meet the average requirements of the crop. Moderately suitable areas can allow high or moderate potential crop production, which can be lower in years when soil-water is insufficient to sustain full growth, or when crop establishment is unsatisfactory due to untimely sowing or poor soil structure.



Figure 2


Figure 2 Land suitability map for main crop potatoes, Stour Catchment, Kent, UK



Marginally suitable areas are those with variable potential production from year to year, with considerable associated risks of low yields, high economic costs, or difficulties in maintaining continuity of output, which are due to the climate interacting with soil properties or disease and pest problems (Jarvis et. al. 1984, Jones and Thomasson 1987). In this study, unsuitable areas did not meet the criteria of high, moderately and marginally suitable areas. For instance, a slope of greater than 11% is too steep for efficient use of machinery.

The criteria, which defined unsuitability in this study area, were based on climate and slope rather than on soil properties. Dent and Young (1981), assumed that under rainfed agriculture, expected crop yields (as a percentage of yields under optimal conditions) were more than 80%, 40-60%, 20-40% and less than 20% in high, moderate, marginal and unsuited areas, respectively. Because in the present study, evaluation is based on an average of 30 years of climate data, we may also assume that expected crop yields are close to the potential production during more than 80%, 40-60%, 20-40% and less than 20% of years for high, moderate, marginal and unsuited areas, respectively.

All the factors that affect land suitability for main crop potatoes in the study area are summarised in Table 2. Average accumulated temperature above 0 °C between January and June (the first 6 months of the year) uses the criteria of McRae (1988) considered to be a good measure of the heat energy available for plant growth in Britain. This is affected by planting time, elevation of growth and storage, season, genetics, and interaction with cultivation techniques. Table 2 shows that the accumulated temperature criterion was found to be a limiting factor for this crop. Jarvis et. al. (1985) assumed, for England and Wales, that only regions with more than 1550 °C day degrees above 0 °C (January-June) were 'highly suitable' for potato. Average maximum accumulated temperature in this area was less than 1500 °C therefore, by this variable, the study area could not be placed in the 'highly suitable' category. However, potatoes are grown in the catchment and there are some very suitable areas, especially in the north of the area (McRae 1999 personal communication). It was therefore decided to change the recommended accumulated temperature for original 'highly suitable area, (at 1550 °C) to new criteria according to Table 1. By the new criteria, 30.33% of the area is found to be 'highly suitable'.

Doughtiness limits the areas of suitability for this crop. Highly suitable areas amounted to 61.23% (Table 2). Because potatoes are shallow-rooting and unable to exploit soil water from below about 0.7 m depth (Durrant et. al. 1973), droughtiness is frequently a main limitation to crop yield unless irrigation is applied. Harris (1992) summarised information on rooting depth, the maximum length and mass of root systems of potato crops and concluded that the depth of rooting of all potato crops never exceeded 1 m even on deep and uniform soils.

The duration and degree of waterlogging are described by the system of wetness classes, where wetness class I is highly suitable and well drained to wetness class IV is unsuitable and almost permanently waterlogged within 0.4 m depth (Hodgson 1976). One of the advantages of wetness classes, however, is that the drainage status of a soil can be expressed -not only in its natural state but also how it might be following drainage improvement. This factor restricts land suitability. Slowly permeable horizons are those with textures which are clayey (clay, sandy clay and silty clay), fine loamy (sandy clay loam) or fine silty (silty clay loam). Wetness can affect workability, trafficability and aeration conditions. Soils could not be worked during the field capacity period because, during this period, there was not any soil water deficit and the soil was too wet for any machinery operation. Thus, land with a high wetness class can limit cultivation in the early spring, particularly for early potatoes.

Most soil series are suitable for this crop but some shallow soils are only marginal, and rooting can be evaluated according to the soil depth criterion. Higher soil pH is restricted to highly suitability areas. Overall, acidity and aluminium saturation are not important in the area because only about a quarter of one percent of the study area predicted that pH was less than 5. Marginally suitable areas with respect to pH related to higher pH (8.1-8.2).

Slope, an important element of landform, plays an important role where mechanisation is concerned. Sys et. al. (1991) believe that, on slopes steeper than 20%, mechanisation becomes impossible and for slopes less than 20 percent there are still important variations in productivity according to variation in slope. Navas and Machin (1997) state that, in order to avoid soil erosion and other problems derived from the use of machinery, only land with slopes below 8° should be used. Fortunately, most of the Stour Catchment was found suitable with respect to topography; only 1.23% had the steepest slope category and was therefore unsuitable for full-mechanised cultivation.

Conclusion

In general, the climate in the study area is favourable for arable crops such as winter cereals, spring barley, oilseed rape and potatoes. Land classified as highly and moderately suitable can sustain production of good quality ware potatoes in arable rotation. As potatoes are shallow-rooting and unable to exploit soil water from below about 0.7 m depth, droughtiness is often the main limitation to crop yield. On well-drained soils the crop responds economically to irrigation, and allowance is made in the suitability assessment for upgrading easily worked but droughty land where irrigation is available. Some parts of the north-west and south-west in the study area have marginal suitability for this crop in the case of water deficit, heavy texture soils and low soil pH.

This study furthermore shows that with appropriate soil, topographic and climate information, GIS used in a discerning fashion is a powerful tool for agronomic decision making.

Acknowledgments

This research was supported by a fellowship for the lead author from the Islamic Republic of Iran, Ministry of Agriculture. We would like to thank Drs Stuart McRae and Paul Burnham for their technical advice; Kris Roger, and Jim Connor for their GIS assistance. Geological maps were digitised from Geological Survey maps of Britain (England and Wales) with permission.

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Authors

Abdolali Ghaffari, Assistant Researcher in Crop Production
West Azerbaijan Agricultural Research Centre, P.O. Box 365, Orumieh, Iran
Email: abdolali_ghaffari@yahoo.co.uk, Tel: +98-441-775480, Fax: +98-441-771253

Hadrian F. Cook, Senior Lecturer in Hydrology
Imperial College at Wye, Wye, Ashford, Kent TN25 5AH, UK
Email: H.Cook@ic.ac.uk, Tel: +44-1233-812401, Fax: +44-1233-812855

Howard C. Lee, Senior Lecturer in Crop Production
Imperial College at Wye, Wye, Ashford, Kent TN25 5AH, UK
Email: H.Lee@ic.ac.uk, Tel: +44-1233-812401, Fax: +44-1233-812855