The routing rule — how a hectare reaches a suitability class
STEP 1
Capability returns a class and subclass for the hectare.
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STEP 2
The capability-by-sector matrix routes the hectare to candidate sectors.
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STEP 3 — THIS PAGE
This matrix routes each candidate sector to its production systems and their governing factors.
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STEP 4
The by-crop page reads those factors against each crop’s thresholds.
What the four marks mean
●
Governs
This factor can limit this system
The factor is
read, and it can hold the crop back. If the reading is bad enough, it sets the suitability class on its own. These are the factors that actually decide the answer for this production system.
Example — Soil salinity for open-field tomato. The crop grows in the ground, so a salty soil directly limits it.
○
Does not apply
Measured, but cannot limit this system
The factor
was assessed — it is simply irrelevant here. An empty cell would look unfinished; this mark says the question was asked and the answer is that it does not bite for this system.
Example — Soil salinity for protected agriculture. The crop grows in substrate inside a greenhouse and never touches the field soil, so the soil’s salt content cannot reach it.
◖
Qualifies — a bad reading is a good sign
The hazard qualifies the land instead of disqualifying it
A hazard normally
disqualifies land. For one activity — land management and restoration — the same hazard
qualifies it, because the problem is the very thing the work exists to fix.
Example — Severe wind erosion. For a wheat farm that is a reason to walk away. For a dune-stabilisation programme it is the reason to choose that site — you would not spend the budget stabilising ground that is already stable.
In short: same measurement, opposite verdict. Only the Land Management column carries this mark.
▲
Conditional
Depends on the crop or the setup
The factor
may or may not limit this system — it depends which crop is chosen or how the operation is built.
Example — Flood hazard for rain-fed cropping. Usually a constraint, but spate irrigation deliberately farms wadi flood water — so for that setup the same hazard is a resource.
Cells marked with a small blue dot carry a short explanation — hover over the cell to read why that mark was given.
The eight production systems — what each one is, and what actually limits it
Crop Production — split into four production systems
Irrigated Open-Field
Annual crops grown in the ground, watered from a supply
Wheat under centre pivot, open-field tomato, forage. The crop sits directly in the native soil and receives applied water, so it is exposed to everything the ground carries — salt, lime, gypsum, texture, depth — and to everything the climate does. Almost nothing is filtered out. This is the most demanding column in the matrix and the reference case against which the others read as exceptions.
What decides it: soil chemistry and terrain, because the pivot needs flat ground and the roots are in the native profile.
Orchard & Perennial
Tree and long-lived crops planted once and kept for decades
Date palm, olive, citrus, mango. Reads almost the same factor set as open-field, with two differences that follow from the crop living for thirty years rather than one season: rooting depth matters far more because the tree commits to that profile permanently, and the growing-period window stops mattering — a perennial is not racing to finish inside an annual season.
What decides it: rooting depth and frost timing — a single badly-timed frost at flowering costs the whole year’s fruit.
Protected Agriculture
Greenhouse and shade-house crops grown in substrate
The crop is lifted out of the ground entirely — it grows in a controlled substrate under a structure. That single fact removes 16 of the 26 factors: all of soil chemistry, most of soil physics, all of drainage. The land underneath is a building site, not a growing medium. What remains is the controlled-environment set: heat, frost, light, water demand, nutrition.
What decides it: energy cost. Frost and heat set the heating and cooling bill, and that bill decides whether the operation works.
Rain-fed & Supplementary
Crops grown on rainfall, or on seasonal wadi flood water
The mirror image of irrigated cropping on one axis: irrigation demand does not apply, because there is no irrigation. In exchange, the two climate factors that irrigated systems can shrug off — moisture deficit and length of growing period — become the factors that decide everything. Flood hazard also flips: spate systems deliberately farm the flood.
What decides it: rainfall and the length of the growing window. Nothing can be added to make up a shortfall.
The four remaining sectors — one column each
Livestock & Grazing
Rangeland grazing, fodder production and animal husbandry
The animal does not read the soil — it reads the plants the soil produces, which puts one step between every land factor and the outcome. That is why this column is dominated by conditional marks: whether a soil constraint matters depends entirely on which forage species is grazing on it. What governs directly is erosion, because overgrazing and erosion drive each other, and the climate factors that set how much biomass grows at all.
What decides it: carrying capacity — how much forage grows per hectare per year, and whether grazing it degrades the site.
Aquaculture
Fish and shrimp production in ponds, tanks or cages
The crop lives in water, not in soil — so almost none of these 26 land factors reach it. The four that do are siting factors: can a pond be built here, will it flood, will sand bury it, is the temperature workable. Its real determinants — water source, salinity of the water body, dissolved oxygen, exchange rate — sit outside this factor set entirely, in the Water module. No marks were invented to fill this column.
What decides it: the water body, assessed elsewhere. This column answers only “can the facility be built here.”
Agro-industry & Facilities
Processing plants, packhouses, cold stores and logistics
Nothing is grown here, so the land is a foundation, not a growing medium. The soil questions that survive are the ones a structural engineer would ask, not an agronomist: gypsum governs because it dissolves and drops buildings, terrain governs because you need a level pad, and flood and sand encroachment govern because they threaten the asset. Fertility, salinity and climate are irrelevant to a concrete slab.
What decides it: ground stability and access. The only column where a soil chemical factor matters for engineering rather than agronomy.
Land Management qualifying
Restoration, dune fixation, rangeland rehabilitation
The one column where a hazard qualifies the land rather than disqualifying it. Severe water erosion, wind erosion and sand encroachment do not disqualify a site here — they are the reason to select it. You would not spend a restoration budget on ground that is already stable. Everything else in the column reads normally: the site still needs the soil and climate conditions for the restoration planting to survive.
What decides it: the size of the problem, plus whether restoration planting can actually survive on the site afterwards.
How to read●Governs — can set the class on its own◖Qualifies — the hazard selects the site▲Conditional — depends on the system or setup○Does not apply — assessed, does not biteRead a row across to see how one factor behaves in every production system; read a column down to see which factors a system reads. The same factor can govern one system, not apply to another, and qualify a third.
| Code | Diagnostic Factor | Crop Production — four production systems | Livestock & Grazing | Aqua- culture | Agro-industry & Facilities | Land Management |
Irrigated Open-Field | Orchard & Perennial | Protected Agriculture | Rain-fed & Suppl. |
| A · Soil Physical |
| SQ-A-01 | Available Water Capacitys | ● | ● | ○ | ● | ▲ | ○ | ○ | ● |
| SQ-A-02 | Soil Workabilitys | ● | ▲ | ○ | ● | ○ | ○ | ○ | ▲ |
| SQ-A-03 | Rooting Conditionss | ● | ● | ○ | ● | ▲ | ○ | ○ | ● |
| SQ-A-04 | Surface Sealing & Crustings | ● | ▲ | ○ | ● | ▲ | ○ | ○ | ● |
| SQ-A-05 | Soil Textures | ● | ● | ○ | ● | ▲ | ▲ | ▲ | ● |
| SQ-A-06 | Coarse Fragmentss | ● | ● | ○ | ● | ○ | ○ | ▲ | ▲ |
| B · Soil Chemical |
| SQ-B-01 | Salinity (ECe)z | ● | ● | ○ | ● | ▲ | ○ | ○ | ● |
| SQ-B-02 | Sodicity (ESP / SAR)z | ● | ● | ○ | ● | ▲ | ○ | ▲ | ● |
| SQ-B-04 | Toxicity Risk (Boron)n | ● | ● | ▲ | ○ | ○ | ○ | ○ | ▲ |
| SQ-B-05 | Calcium Carbonaten | ● | ● | ○ | ● | ▲ | ○ | ▲ | ● |
| SQ-B-06 | Gypsum Contentn | ● | ● | ○ | ● | ▲ | ▲ | ● | ● |
| SQ-B-07 | Soil pHn | ● | ● | ○ | ● | ▲ | ▲ | ○ | ● |
| C · Water & Drainage |
| SQ-C-01 | Drainage Conditionw | ● | ● | ○ | ● | ▲ | ▲ | ▲ | ● |
| SQ-C-02 | Flood Hazardf | ● | ● | ● | ▲ | ▲ | ● | ● | ▲ |
| SQ-C-03 | Waterlogging Riskw | ● | ● | ○ | ● | ▲ | ○ | ▲ | ● |
| D · Topography & Erosion |
| SQ-D-01 | Terrain Workabilityt | ● | ● | ● | ● | ▲ | ● | ● | ● |
| SQ-D-02 | Water Erosion Hazarde | ● | ● | ○ | ● | ● | ▲ | ▲ | ◖ |
| SQ-D-03 | Wind Erosion Hazarde | ● | ● | ▲ | ● | ● | ▲ | ▲ | ◖ |
| SQ-D-04 | Sand Encroachment Hazardd | ● | ● | ● | ● | ● | ● | ● | ◖ |
| E · Climate |
| SQ-E-01 | Moisture Deficit (Aridity)c | ▲ | ▲ | ○ | ● | ● | ▲ | ○ | ● |
| SQ-E-02 | Thermal Suitabilityc | ● | ● | ● | ● | ▲ | ● | ○ | ▲ |
| SQ-E-03 | Radiation & Solar Energyc | ● | ● | ● | ● | ○ | ▲ | ○ | ▲ |
| SQ-E-04 | Length of Growing Periodc | ▲ | ○ | ○ | ● | ● | ▲ | ○ | ▲ |
| SQ-E-05 | Frost Riskc | ● | ● | ● | ● | ▲ | ▲ | ○ | ▲ |
| F · Crop-Specific |
| SQ-F-01 | Irrigation Demand (ETc)i | ● | ● | ● | ○ | ▲ | ○ | ○ | ▲ |
| SQ-F-02 | Crop Nutrient Requirementn | ● | ● | ● | ● | ▲ | ○ | ○ | ▲ |
🏭
Protected agriculture is mostly ○
It ignores the entire soil-chemical group — the crop is substrate-grown and never contacts field soil — plus most of soil-physical and all of drainage. 16 of 26 factors do not apply. What governs it is thermal, frost, radiation, irrigation demand and crop nutrient requirement: the controlled-environment factors, clustered in Groups E and F. This sparse column is the clearest demonstration on the page that the production system, not the crop, sets the factor list.
🌪
Rain-fed is the mirror image on water
Irrigation demand (SQ-F-01) is ○ — there is no irrigation to demand. But moisture deficit (SQ-E-01) and length of growing period (SQ-E-04) become governing climate factors, where for irrigated systems they are only conditional. Read the two rows together: the same two systems take opposite marks on three consecutive climate and crop factors. Flood hazard is also conditional rather than limiting here, because spate irrigation deliberately uses wadi flood water as the resource.
🐟
Aquaculture responds to almost no land factor
Only 4 of 26 factors govern it, and those are siting factors — terrain for pond construction, flood hazard, sand encroachment, thermal. Its real determinants are water-body qualities that sit outside these 26 land-and-crop factors: water source and volume, salinity of the water body, dissolved oxygen, temperature regime of the water column, and exchange rate. Those are assessed in the Water module and in a sector-specific factor set. No marks have been invented to fill this column.
🌲
Land management reads hazards the other way
The only column carrying ◖ marks. Water erosion, wind erosion and sand encroachment all qualify land for restoration rather than ruling it out. For restoration, the hazard is the reason to act, not a reason to decline. A hectare with severe erosion is a poor candidate for irrigated cropping and an excellent candidate for a stabilisation programme — read from the identical measurement. This mirrors the qualifying marks in the Capability-by-Sector matrix and the conservation exception in the Land Rights & Constraints module.
💧
Irrigation demand is the cleanest split
SQ-F-01 governs every irrigated system and no rain-fed one. Its row shows the split at a glance — three solid marks across the irrigated crop systems, then a single ○ where rain-fed sits. It is the proof that Group F earns its place: a factor that exists only once a crop is named, and that separates production systems more cleanly than any land quality does. Nothing in Groups A–E divides the columns this sharply.
📏
Read the shape before the labels
The four crop-production sub-columns are dense. Protected is sparse but clustered in E and F. Aquaculture is nearly empty. Land management is dense with three qualifying marks in Group D. Someone scanning this page should see those four shapes before reading a single factor name — the distribution of marks is itself the finding, and it is why the sub-columns could not be collapsed into one crop-production column.
The same land data, two different factor sets
A hectare that is capable and routed to crop production is assessed against a different set of factors depending on how the crop would be grown. Not different data — the same measurements, read through a different filter.
Open-field date palm
Assessed on 24 governing factors — soil salinity, carbonate, gypsum, texture, rooting depth, drainage, terrain, erosion, all four climate factors, frost, and irrigation demand.
Protected date palm
Assessed on 8 governing factors — thermal, frost, radiation, flood hazard, terrain for structure siting, sand encroachment, irrigation demand, crop nutrient requirement. The soil chemistry is not read at all.
This is why one hectare can be S2 for open-field date palm and S1 for the same crop under protected conditions — not because the land changed, but because a limiting factor in one system is not read in the other. If the S2 was driven by soil salinity, protection removes that constraint entirely.
What this page does not do. It carries no threshold values — those are per-crop and live in the Crop-Specific stage. A cell says whether a factor applies, never how much is too much. The moment a cell holds a number, the production systems stop being comparable and the routing logic is lost. It does not produce a suitability class, and it does not re-derive any factor — it reads the factor set defined on Page 1 and marks applicability.
Derivation status. Cells marked ● or ○ are derived from the crop requirement tables: a factor governs a production system where the crops grown that way carry a threshold table for it. Cells marked ▲ are conditional — the ALUES database currently has complete threshold extraction for one crop only, so where the crop data is incomplete the cell is marked conditional rather than guessed as governs or does-not-apply. The livestock and aquaculture columns carry the highest proportion of conditional marks, because both cover several distinct forms of production under one heading.